lyunee commited on
Commit
028b4d0
·
verified ·
1 Parent(s): a819223

Upload continuous evaluation checkpoints, batch 40

Browse files
Files changed (48) hide show
  1. continuous/smollm2/pixio_vitb16/pretrain/mm_projector.bin +3 -0
  2. continuous/smollm2/pixio_vitb16/pretrain/trainer_state.json +421 -0
  3. continuous/smollm2/pixio_vith16/finetune/chat_template.jinja +6 -0
  4. continuous/smollm2/pixio_vith16/finetune/config.json +70 -0
  5. continuous/smollm2/pixio_vith16/finetune/generation_config.json +9 -0
  6. continuous/smollm2/pixio_vith16/finetune/merges.txt +0 -0
  7. continuous/smollm2/pixio_vith16/finetune/model.safetensors +3 -0
  8. continuous/smollm2/pixio_vith16/finetune/special_tokens_map.json +28 -0
  9. continuous/smollm2/pixio_vith16/finetune/tokenizer.json +0 -0
  10. continuous/smollm2/pixio_vith16/finetune/tokenizer_config.json +155 -0
  11. continuous/smollm2/pixio_vith16/finetune/trainer_state.json +1856 -0
  12. continuous/smollm2/pixio_vith16/finetune/training_args.bin +3 -0
  13. continuous/smollm2/pixio_vith16/finetune/vocab.json +0 -0
  14. continuous/smollm2/pixio_vith16/pretrain/config.json +70 -0
  15. continuous/smollm2/pixio_vith16/pretrain/mm_projector.bin +3 -0
  16. continuous/smollm2/pixio_vith16/pretrain/trainer_state.json +421 -0
  17. continuous/smollm2/pixio_vitl16/finetune/chat_template.jinja +6 -0
  18. continuous/smollm2/pixio_vitl16/finetune/config.json +70 -0
  19. continuous/smollm2/pixio_vitl16/finetune/generation_config.json +9 -0
  20. continuous/smollm2/pixio_vitl16/finetune/merges.txt +0 -0
  21. continuous/smollm2/pixio_vitl16/finetune/model.safetensors +3 -0
  22. continuous/smollm2/pixio_vitl16/finetune/special_tokens_map.json +28 -0
  23. continuous/smollm2/pixio_vitl16/finetune/tokenizer.json +0 -0
  24. continuous/smollm2/pixio_vitl16/finetune/tokenizer_config.json +155 -0
  25. continuous/smollm2/pixio_vitl16/finetune/trainer_state.json +1856 -0
  26. continuous/smollm2/pixio_vitl16/finetune/training_args.bin +3 -0
  27. continuous/smollm2/pixio_vitl16/finetune/vocab.json +0 -0
  28. continuous/smollm2/pixio_vitl16/pretrain/config.json +70 -0
  29. continuous/smollm2/pixio_vitl16/pretrain/mm_projector.bin +3 -0
  30. continuous/smollm2/pixio_vitl16/pretrain/trainer_state.json +421 -0
  31. continuous/smollm2/raev2_dinov3l_k7/finetune/chat_template.jinja +6 -0
  32. continuous/smollm2/raev2_dinov3l_k7/finetune/config.json +70 -0
  33. continuous/smollm2/raev2_dinov3l_k7/finetune/generation_config.json +9 -0
  34. continuous/smollm2/raev2_dinov3l_k7/finetune/merges.txt +0 -0
  35. continuous/smollm2/raev2_dinov3l_k7/finetune/model.safetensors +3 -0
  36. continuous/smollm2/raev2_dinov3l_k7/finetune/special_tokens_map.json +28 -0
  37. continuous/smollm2/raev2_dinov3l_k7/finetune/tokenizer.json +0 -0
  38. continuous/smollm2/raev2_dinov3l_k7/finetune/tokenizer_config.json +155 -0
  39. continuous/smollm2/raev2_dinov3l_k7/finetune/trainer_state.json +1856 -0
  40. continuous/smollm2/raev2_dinov3l_k7/finetune/training_args.bin +3 -0
  41. continuous/smollm2/raev2_dinov3l_k7/finetune/vocab.json +0 -0
  42. continuous/smollm2/raev2_dinov3l_k7/pretrain/config.json +70 -0
  43. continuous/smollm2/raev2_dinov3l_k7/pretrain/mm_projector.bin +3 -0
  44. continuous/smollm2/raev2_dinov3l_k7/pretrain/trainer_state.json +421 -0
  45. continuous/smollm2/siglip2_b16_224/finetune/chat_template.jinja +6 -0
  46. continuous/smollm2/siglip2_b16_224/finetune/config.json +70 -0
  47. continuous/smollm2/siglip2_b16_224/finetune/generation_config.json +9 -0
  48. continuous/smollm2/siglip2_b16_224/finetune/merges.txt +0 -0
continuous/smollm2/pixio_vitb16/pretrain/mm_projector.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3083385d285b42e1b297e505e4fab5d03d4207c1f8a644e6b95dd64a939297ce
3
+ size 23087160
continuous/smollm2/pixio_vitb16/pretrain/trainer_state.json ADDED
@@ -0,0 +1,421 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": null,
3
+ "best_metric": null,
4
+ "best_model_checkpoint": null,
5
+ "epoch": 1.0,
6
+ "eval_steps": 500,
7
+ "global_step": 545,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "epoch": 0.01834862385321101,
14
+ "grad_norm": 1.4872103929519653,
15
+ "learning_rate": 0.00032142857142857147,
16
+ "loss": 3.9107,
17
+ "step": 10
18
+ },
19
+ {
20
+ "epoch": 0.03669724770642202,
21
+ "grad_norm": 0.2219633013010025,
22
+ "learning_rate": 0.0006785714285714287,
23
+ "loss": 2.9898,
24
+ "step": 20
25
+ },
26
+ {
27
+ "epoch": 0.05504587155963303,
28
+ "grad_norm": 0.11232300847768784,
29
+ "learning_rate": 0.0009999907688176173,
30
+ "loss": 2.8024,
31
+ "step": 30
32
+ },
33
+ {
34
+ "epoch": 0.07339449541284404,
35
+ "grad_norm": 0.15578007698059082,
36
+ "learning_rate": 0.0009988834393115766,
37
+ "loss": 2.7149,
38
+ "step": 40
39
+ },
40
+ {
41
+ "epoch": 0.09174311926605505,
42
+ "grad_norm": 0.14262397587299347,
43
+ "learning_rate": 0.0009959345572940772,
44
+ "loss": 2.6704,
45
+ "step": 50
46
+ },
47
+ {
48
+ "epoch": 0.11009174311926606,
49
+ "grad_norm": 0.13604900240898132,
50
+ "learning_rate": 0.0009911550081155983,
51
+ "loss": 2.624,
52
+ "step": 60
53
+ },
54
+ {
55
+ "epoch": 0.12844036697247707,
56
+ "grad_norm": 0.11490721255540848,
57
+ "learning_rate": 0.0009845624347566433,
58
+ "loss": 2.592,
59
+ "step": 70
60
+ },
61
+ {
62
+ "epoch": 0.14678899082568808,
63
+ "grad_norm": 0.23222476243972778,
64
+ "learning_rate": 0.0009761811727013547,
65
+ "loss": 2.569,
66
+ "step": 80
67
+ },
68
+ {
69
+ "epoch": 0.1651376146788991,
70
+ "grad_norm": 0.11340069770812988,
71
+ "learning_rate": 0.0009660421601067666,
72
+ "loss": 2.5456,
73
+ "step": 90
74
+ },
75
+ {
76
+ "epoch": 0.1834862385321101,
77
+ "grad_norm": 0.12331966310739517,
78
+ "learning_rate": 0.0009541828235992926,
79
+ "loss": 2.5342,
80
+ "step": 100
81
+ },
82
+ {
83
+ "epoch": 0.2018348623853211,
84
+ "grad_norm": 0.11387576162815094,
85
+ "learning_rate": 0.0009406469401200151,
86
+ "loss": 2.5127,
87
+ "step": 110
88
+ },
89
+ {
90
+ "epoch": 0.22018348623853212,
91
+ "grad_norm": 0.12291037291288376,
92
+ "learning_rate": 0.0009254844753287492,
93
+ "loss": 2.5071,
94
+ "step": 120
95
+ },
96
+ {
97
+ "epoch": 0.23853211009174313,
98
+ "grad_norm": 0.1261446475982666,
99
+ "learning_rate": 0.0009087513991633924,
100
+ "loss": 2.4874,
101
+ "step": 130
102
+ },
103
+ {
104
+ "epoch": 0.25688073394495414,
105
+ "grad_norm": 0.1256944239139557,
106
+ "learning_rate": 0.0008905094792353917,
107
+ "loss": 2.4748,
108
+ "step": 140
109
+ },
110
+ {
111
+ "epoch": 0.27522935779816515,
112
+ "grad_norm": 0.15410608053207397,
113
+ "learning_rate": 0.0008708260528239789,
114
+ "loss": 2.4808,
115
+ "step": 150
116
+ },
117
+ {
118
+ "epoch": 0.29357798165137616,
119
+ "grad_norm": 0.12198253720998764,
120
+ "learning_rate": 0.0008497737783108237,
121
+ "loss": 2.469,
122
+ "step": 160
123
+ },
124
+ {
125
+ "epoch": 0.3119266055045872,
126
+ "grad_norm": 0.09587755799293518,
127
+ "learning_rate": 0.0008274303669726426,
128
+ "loss": 2.4656,
129
+ "step": 170
130
+ },
131
+ {
132
+ "epoch": 0.3302752293577982,
133
+ "grad_norm": 0.12404561042785645,
134
+ "learning_rate": 0.0008038782961218137,
135
+ "loss": 2.4532,
136
+ "step": 180
137
+ },
138
+ {
139
+ "epoch": 0.3486238532110092,
140
+ "grad_norm": 0.11719392240047455,
141
+ "learning_rate": 0.000779204504653894,
142
+ "loss": 2.4523,
143
+ "step": 190
144
+ },
145
+ {
146
+ "epoch": 0.3669724770642202,
147
+ "grad_norm": 0.11616218835115433,
148
+ "learning_rate": 0.0007535000721258791,
149
+ "loss": 2.4297,
150
+ "step": 200
151
+ },
152
+ {
153
+ "epoch": 0.3853211009174312,
154
+ "grad_norm": 0.11872982233762741,
155
+ "learning_rate": 0.00072685988254984,
156
+ "loss": 2.4316,
157
+ "step": 210
158
+ },
159
+ {
160
+ "epoch": 0.4036697247706422,
161
+ "grad_norm": 0.11084266752004623,
162
+ "learning_rate": 0.0006993822741429906,
163
+ "loss": 2.4385,
164
+ "step": 220
165
+ },
166
+ {
167
+ "epoch": 0.42201834862385323,
168
+ "grad_norm": 0.10931521654129028,
169
+ "learning_rate": 0.0006711686763270818,
170
+ "loss": 2.4342,
171
+ "step": 230
172
+ },
173
+ {
174
+ "epoch": 0.44036697247706424,
175
+ "grad_norm": 0.10211308300495148,
176
+ "learning_rate": 0.0006423232353170831,
177
+ "loss": 2.4249,
178
+ "step": 240
179
+ },
180
+ {
181
+ "epoch": 0.45871559633027525,
182
+ "grad_norm": 0.09626550227403641,
183
+ "learning_rate": 0.0006129524296812335,
184
+ "loss": 2.415,
185
+ "step": 250
186
+ },
187
+ {
188
+ "epoch": 0.47706422018348627,
189
+ "grad_norm": 0.10452155768871307,
190
+ "learning_rate": 0.0005831646772915651,
191
+ "loss": 2.424,
192
+ "step": 260
193
+ },
194
+ {
195
+ "epoch": 0.4954128440366973,
196
+ "grad_norm": 0.1058153584599495,
197
+ "learning_rate": 0.0005530699351157809,
198
+ "loss": 2.4034,
199
+ "step": 270
200
+ },
201
+ {
202
+ "epoch": 0.5137614678899083,
203
+ "grad_norm": 0.10785340517759323,
204
+ "learning_rate": 0.0005227792933277943,
205
+ "loss": 2.4102,
206
+ "step": 280
207
+ },
208
+ {
209
+ "epoch": 0.5321100917431193,
210
+ "grad_norm": 0.10438844561576843,
211
+ "learning_rate": 0.0004924045652352092,
212
+ "loss": 2.3959,
213
+ "step": 290
214
+ },
215
+ {
216
+ "epoch": 0.5504587155963303,
217
+ "grad_norm": 0.09565002471208572,
218
+ "learning_rate": 0.0004620578745374633,
219
+ "loss": 2.3944,
220
+ "step": 300
221
+ },
222
+ {
223
+ "epoch": 0.5688073394495413,
224
+ "grad_norm": 0.11112634837627411,
225
+ "learning_rate": 0.0004318512414382059,
226
+ "loss": 2.4027,
227
+ "step": 310
228
+ },
229
+ {
230
+ "epoch": 0.5871559633027523,
231
+ "grad_norm": 0.10152310878038406,
232
+ "learning_rate": 0.0004018961691397148,
233
+ "loss": 2.4025,
234
+ "step": 320
235
+ },
236
+ {
237
+ "epoch": 0.6055045871559633,
238
+ "grad_norm": 0.09897750616073608,
239
+ "learning_rate": 0.0003723032322457458,
240
+ "loss": 2.3831,
241
+ "step": 330
242
+ },
243
+ {
244
+ "epoch": 0.6238532110091743,
245
+ "grad_norm": 0.10573245584964752,
246
+ "learning_rate": 0.0003431816685921625,
247
+ "loss": 2.3909,
248
+ "step": 340
249
+ },
250
+ {
251
+ "epoch": 0.6422018348623854,
252
+ "grad_norm": 0.11156634986400604,
253
+ "learning_rate": 0.0003146389760120416,
254
+ "loss": 2.3932,
255
+ "step": 350
256
+ },
257
+ {
258
+ "epoch": 0.6605504587155964,
259
+ "grad_norm": 0.11886810511350632,
260
+ "learning_rate": 0.00028678051552373485,
261
+ "loss": 2.3947,
262
+ "step": 360
263
+ },
264
+ {
265
+ "epoch": 0.6788990825688074,
266
+ "grad_norm": 0.09825631976127625,
267
+ "learning_rate": 0.0002597091224066581,
268
+ "loss": 2.3856,
269
+ "step": 370
270
+ },
271
+ {
272
+ "epoch": 0.6972477064220184,
273
+ "grad_norm": 0.09633106738328934,
274
+ "learning_rate": 0.0002335247266004629,
275
+ "loss": 2.3957,
276
+ "step": 380
277
+ },
278
+ {
279
+ "epoch": 0.7155963302752294,
280
+ "grad_norm": 0.10293310135602951,
281
+ "learning_rate": 0.000208323983828828,
282
+ "loss": 2.3799,
283
+ "step": 390
284
+ },
285
+ {
286
+ "epoch": 0.7339449541284404,
287
+ "grad_norm": 0.09829166531562805,
288
+ "learning_rate": 0.0001841999188095224,
289
+ "loss": 2.3814,
290
+ "step": 400
291
+ },
292
+ {
293
+ "epoch": 0.7522935779816514,
294
+ "grad_norm": 0.10187727212905884,
295
+ "learning_rate": 0.00016124158186777676,
296
+ "loss": 2.3788,
297
+ "step": 410
298
+ },
299
+ {
300
+ "epoch": 0.7706422018348624,
301
+ "grad_norm": 0.1045738235116005,
302
+ "learning_rate": 0.0001395337202205211,
303
+ "loss": 2.3734,
304
+ "step": 420
305
+ },
306
+ {
307
+ "epoch": 0.7889908256880734,
308
+ "grad_norm": 0.095241479575634,
309
+ "learning_rate": 0.00011915646514489292,
310
+ "loss": 2.3767,
311
+ "step": 430
312
+ },
313
+ {
314
+ "epoch": 0.8073394495412844,
315
+ "grad_norm": 0.11615530401468277,
316
+ "learning_rate": 0.00010018503618578818,
317
+ "loss": 2.3832,
318
+ "step": 440
319
+ },
320
+ {
321
+ "epoch": 0.8256880733944955,
322
+ "grad_norm": 0.09491557627916336,
323
+ "learning_rate": 8.268946349432583e-05,
324
+ "loss": 2.3806,
325
+ "step": 450
326
+ },
327
+ {
328
+ "epoch": 0.8440366972477065,
329
+ "grad_norm": 0.09342671185731888,
330
+ "learning_rate": 6.673432932217117e-05,
331
+ "loss": 2.367,
332
+ "step": 460
333
+ },
334
+ {
335
+ "epoch": 0.8623853211009175,
336
+ "grad_norm": 0.08787751942873001,
337
+ "learning_rate": 5.2378529625954684e-05,
338
+ "loss": 2.3646,
339
+ "step": 470
340
+ },
341
+ {
342
+ "epoch": 0.8807339449541285,
343
+ "grad_norm": 0.0911007896065712,
344
+ "learning_rate": 3.9675056661785556e-05,
345
+ "loss": 2.3672,
346
+ "step": 480
347
+ },
348
+ {
349
+ "epoch": 0.8990825688073395,
350
+ "grad_norm": 0.09048875421285629,
351
+ "learning_rate": 2.8670803372379538e-05,
352
+ "loss": 2.3722,
353
+ "step": 490
354
+ },
355
+ {
356
+ "epoch": 0.9174311926605505,
357
+ "grad_norm": 0.09044606238603592,
358
+ "learning_rate": 1.9406390288876586e-05,
359
+ "loss": 2.3776,
360
+ "step": 500
361
+ },
362
+ {
363
+ "epoch": 0.9357798165137615,
364
+ "grad_norm": 0.0867307186126709,
365
+ "learning_rate": 1.191601558631461e-05,
366
+ "loss": 2.3661,
367
+ "step": 510
368
+ },
369
+ {
370
+ "epoch": 0.9541284403669725,
371
+ "grad_norm": 0.08863203972578049,
372
+ "learning_rate": 6.2273288462559305e-06,
373
+ "loss": 2.3613,
374
+ "step": 520
375
+ },
376
+ {
377
+ "epoch": 0.9724770642201835,
378
+ "grad_norm": 0.0873480811715126,
379
+ "learning_rate": 2.361328992552314e-06,
380
+ "loss": 2.3642,
381
+ "step": 530
382
+ },
383
+ {
384
+ "epoch": 0.9908256880733946,
385
+ "grad_norm": 0.09445985406637192,
386
+ "learning_rate": 3.322867770044202e-07,
387
+ "loss": 2.3684,
388
+ "step": 540
389
+ },
390
+ {
391
+ "epoch": 1.0,
392
+ "step": 545,
393
+ "total_flos": 3.539999614377656e+17,
394
+ "train_loss": 2.4801804831268592,
395
+ "train_runtime": 1424.2254,
396
+ "train_samples_per_second": 391.882,
397
+ "train_steps_per_second": 0.383
398
+ }
399
+ ],
400
+ "logging_steps": 10,
401
+ "max_steps": 545,
402
+ "num_input_tokens_seen": 34658176,
403
+ "num_train_epochs": 1,
404
+ "save_steps": 500,
405
+ "stateful_callbacks": {
406
+ "TrainerControl": {
407
+ "args": {
408
+ "should_epoch_stop": false,
409
+ "should_evaluate": false,
410
+ "should_log": false,
411
+ "should_save": false,
412
+ "should_training_stop": false
413
+ },
414
+ "attributes": {}
415
+ }
416
+ },
417
+ "total_flos": 3.539999614377656e+17,
418
+ "train_batch_size": 64,
419
+ "trial_name": null,
420
+ "trial_params": null
421
+ }
continuous/smollm2/pixio_vith16/finetune/chat_template.jinja ADDED
@@ -0,0 +1,6 @@
 
 
 
 
 
 
 
1
+ {% for message in messages %}{% if loop.first and messages[0]['role'] != 'system' %}{{ '<|im_start|>system
2
+ You are a helpful AI assistant named SmolLM, trained by Hugging Face<|im_end|>
3
+ ' }}{% endif %}{{'<|im_start|>' + message['role'] + '
4
+ ' + message['content'] + '<|im_end|>' + '
5
+ '}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant
6
+ ' }}{% endif %}
continuous/smollm2/pixio_vith16/finetune/config.json ADDED
@@ -0,0 +1,70 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_faster_video": false,
3
+ "add_time_instruction": false,
4
+ "architectures": [
5
+ "LlavaLlamaForCausalLM"
6
+ ],
7
+ "attention_bias": false,
8
+ "attention_dropout": 0.0,
9
+ "bos_token_id": 1,
10
+ "dtype": "bfloat16",
11
+ "eos_token_id": 2,
12
+ "faster_token_stride": 10,
13
+ "force_sample": false,
14
+ "head_dim": 64,
15
+ "hidden_act": "silu",
16
+ "hidden_size": 2048,
17
+ "image_aspect_ratio": "square",
18
+ "image_crop_resolution": null,
19
+ "image_grid_pinpoints": null,
20
+ "image_split_resolution": null,
21
+ "initializer_range": 0.02,
22
+ "intermediate_size": 8192,
23
+ "max_position_embeddings": 8192,
24
+ "mlp_bias": false,
25
+ "mm_hidden_size": 1280,
26
+ "mm_newline_position": "grid",
27
+ "mm_patch_merge_type": "flat",
28
+ "mm_projector_lr": 0.0001,
29
+ "mm_projector_type": "mlp2x_gelu",
30
+ "mm_resampler_type": null,
31
+ "mm_spatial_pool_mode": "bilinear",
32
+ "mm_spatial_pool_stride": null,
33
+ "mm_tunable_parts": "mm_mlp_adapter,mm_language_model",
34
+ "mm_use_im_patch_token": false,
35
+ "mm_use_im_start_end": false,
36
+ "mm_vision_select_feature": "patch",
37
+ "mm_vision_select_layer": -1,
38
+ "mm_vision_tower": "vtb_ssl:pixio",
39
+ "mm_vision_tower_lr": null,
40
+ "model_type": "llama",
41
+ "num_attention_heads": 32,
42
+ "num_hidden_layers": 24,
43
+ "num_key_value_heads": 32,
44
+ "pad_token_id": 0,
45
+ "pos_skipping_range": 4096,
46
+ "pretraining_tp": 1,
47
+ "rms_norm_eps": 1e-05,
48
+ "rope_scaling": null,
49
+ "rope_theta": 130000,
50
+ "tie_word_embeddings": true,
51
+ "tokenizer_model_max_length": 8192,
52
+ "tokenizer_padding_side": "right",
53
+ "transformers.js_config": {
54
+ "dtype": "q4",
55
+ "kv_cache_dtype": {
56
+ "fp16": "float16",
57
+ "q4f16": "float16"
58
+ },
59
+ "use_external_data_format": {
60
+ "model.onnx": true,
61
+ "model_fp16.onnx": true
62
+ }
63
+ },
64
+ "transformers_version": "4.57.6",
65
+ "use_cache": true,
66
+ "use_mm_proj": true,
67
+ "use_pos_skipping": false,
68
+ "vision_tower_pretrained": "/cache/ckpt/download/tokenizer/continuous/pixio/pixio-vith16/pixio_vith16.pth",
69
+ "vocab_size": 49152
70
+ }
continuous/smollm2/pixio_vith16/finetune/generation_config.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_from_model_config": true,
3
+ "bos_token_id": 1,
4
+ "eos_token_id": [
5
+ 2
6
+ ],
7
+ "pad_token_id": 0,
8
+ "transformers_version": "4.57.6"
9
+ }
continuous/smollm2/pixio_vith16/finetune/merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
continuous/smollm2/pixio_vith16/finetune/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b5291a53e937003b0e48c06ab7b1ee617aa7d151bcbcd1974350e629d76ec9b6
3
+ size 4913461376
continuous/smollm2/pixio_vith16/finetune/special_tokens_map.json ADDED
@@ -0,0 +1,28 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "additional_special_tokens": [
3
+ "<|im_start|>",
4
+ "<|im_end|>"
5
+ ],
6
+ "bos_token": {
7
+ "content": "<|im_start|>",
8
+ "lstrip": false,
9
+ "normalized": false,
10
+ "rstrip": false,
11
+ "single_word": false
12
+ },
13
+ "eos_token": {
14
+ "content": "<|im_end|>",
15
+ "lstrip": false,
16
+ "normalized": false,
17
+ "rstrip": false,
18
+ "single_word": false
19
+ },
20
+ "pad_token": "<|endoftext|>",
21
+ "unk_token": {
22
+ "content": "<|endoftext|>",
23
+ "lstrip": false,
24
+ "normalized": false,
25
+ "rstrip": false,
26
+ "single_word": false
27
+ }
28
+ }
continuous/smollm2/pixio_vith16/finetune/tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
continuous/smollm2/pixio_vith16/finetune/tokenizer_config.json ADDED
@@ -0,0 +1,155 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_prefix_space": false,
3
+ "added_tokens_decoder": {
4
+ "0": {
5
+ "content": "<|endoftext|>",
6
+ "lstrip": false,
7
+ "normalized": false,
8
+ "rstrip": false,
9
+ "single_word": false,
10
+ "special": true
11
+ },
12
+ "1": {
13
+ "content": "<|im_start|>",
14
+ "lstrip": false,
15
+ "normalized": false,
16
+ "rstrip": false,
17
+ "single_word": false,
18
+ "special": true
19
+ },
20
+ "2": {
21
+ "content": "<|im_end|>",
22
+ "lstrip": false,
23
+ "normalized": false,
24
+ "rstrip": false,
25
+ "single_word": false,
26
+ "special": true
27
+ },
28
+ "3": {
29
+ "content": "<repo_name>",
30
+ "lstrip": false,
31
+ "normalized": false,
32
+ "rstrip": false,
33
+ "single_word": false,
34
+ "special": true
35
+ },
36
+ "4": {
37
+ "content": "<reponame>",
38
+ "lstrip": false,
39
+ "normalized": false,
40
+ "rstrip": false,
41
+ "single_word": false,
42
+ "special": true
43
+ },
44
+ "5": {
45
+ "content": "<file_sep>",
46
+ "lstrip": false,
47
+ "normalized": false,
48
+ "rstrip": false,
49
+ "single_word": false,
50
+ "special": true
51
+ },
52
+ "6": {
53
+ "content": "<filename>",
54
+ "lstrip": false,
55
+ "normalized": false,
56
+ "rstrip": false,
57
+ "single_word": false,
58
+ "special": true
59
+ },
60
+ "7": {
61
+ "content": "<gh_stars>",
62
+ "lstrip": false,
63
+ "normalized": false,
64
+ "rstrip": false,
65
+ "single_word": false,
66
+ "special": true
67
+ },
68
+ "8": {
69
+ "content": "<issue_start>",
70
+ "lstrip": false,
71
+ "normalized": false,
72
+ "rstrip": false,
73
+ "single_word": false,
74
+ "special": true
75
+ },
76
+ "9": {
77
+ "content": "<issue_comment>",
78
+ "lstrip": false,
79
+ "normalized": false,
80
+ "rstrip": false,
81
+ "single_word": false,
82
+ "special": true
83
+ },
84
+ "10": {
85
+ "content": "<issue_closed>",
86
+ "lstrip": false,
87
+ "normalized": false,
88
+ "rstrip": false,
89
+ "single_word": false,
90
+ "special": true
91
+ },
92
+ "11": {
93
+ "content": "<jupyter_start>",
94
+ "lstrip": false,
95
+ "normalized": false,
96
+ "rstrip": false,
97
+ "single_word": false,
98
+ "special": true
99
+ },
100
+ "12": {
101
+ "content": "<jupyter_text>",
102
+ "lstrip": false,
103
+ "normalized": false,
104
+ "rstrip": false,
105
+ "single_word": false,
106
+ "special": true
107
+ },
108
+ "13": {
109
+ "content": "<jupyter_code>",
110
+ "lstrip": false,
111
+ "normalized": false,
112
+ "rstrip": false,
113
+ "single_word": false,
114
+ "special": true
115
+ },
116
+ "14": {
117
+ "content": "<jupyter_output>",
118
+ "lstrip": false,
119
+ "normalized": false,
120
+ "rstrip": false,
121
+ "single_word": false,
122
+ "special": true
123
+ },
124
+ "15": {
125
+ "content": "<jupyter_script>",
126
+ "lstrip": false,
127
+ "normalized": false,
128
+ "rstrip": false,
129
+ "single_word": false,
130
+ "special": true
131
+ },
132
+ "16": {
133
+ "content": "<empty_output>",
134
+ "lstrip": false,
135
+ "normalized": false,
136
+ "rstrip": false,
137
+ "single_word": false,
138
+ "special": true
139
+ }
140
+ },
141
+ "additional_special_tokens": [
142
+ "<|im_start|>",
143
+ "<|im_end|>"
144
+ ],
145
+ "bos_token": "<|im_start|>",
146
+ "clean_up_tokenization_spaces": false,
147
+ "eos_token": "<|im_end|>",
148
+ "extra_special_tokens": {},
149
+ "model_max_length": 8192,
150
+ "pad_token": "<|endoftext|>",
151
+ "padding_side": "right",
152
+ "tokenizer_class": "GPT2Tokenizer",
153
+ "unk_token": "<|endoftext|>",
154
+ "vocab_size": 49152
155
+ }
continuous/smollm2/pixio_vith16/finetune/trainer_state.json ADDED
@@ -0,0 +1,1856 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": null,
3
+ "best_metric": null,
4
+ "best_model_checkpoint": null,
5
+ "epoch": 1.0,
6
+ "eval_steps": 500,
7
+ "global_step": 2597,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "epoch": 0.003850596842510589,
14
+ "grad_norm": 3.08099365234375,
15
+ "learning_rate": 1.153846153846154e-06,
16
+ "loss": 1.2134,
17
+ "step": 10
18
+ },
19
+ {
20
+ "epoch": 0.007701193685021178,
21
+ "grad_norm": 2.130887985229492,
22
+ "learning_rate": 2.435897435897436e-06,
23
+ "loss": 1.115,
24
+ "step": 20
25
+ },
26
+ {
27
+ "epoch": 0.011551790527531768,
28
+ "grad_norm": 2.030322551727295,
29
+ "learning_rate": 3.7179487179487184e-06,
30
+ "loss": 1.0188,
31
+ "step": 30
32
+ },
33
+ {
34
+ "epoch": 0.015402387370042356,
35
+ "grad_norm": 1.3729771375656128,
36
+ "learning_rate": 5e-06,
37
+ "loss": 0.9772,
38
+ "step": 40
39
+ },
40
+ {
41
+ "epoch": 0.019252984212552945,
42
+ "grad_norm": 1.3038945198059082,
43
+ "learning_rate": 6.282051282051282e-06,
44
+ "loss": 0.9621,
45
+ "step": 50
46
+ },
47
+ {
48
+ "epoch": 0.023103581055063535,
49
+ "grad_norm": 0.3049727976322174,
50
+ "learning_rate": 7.564102564102564e-06,
51
+ "loss": 0.8939,
52
+ "step": 60
53
+ },
54
+ {
55
+ "epoch": 0.026954177897574125,
56
+ "grad_norm": 0.2504628598690033,
57
+ "learning_rate": 8.846153846153847e-06,
58
+ "loss": 0.8473,
59
+ "step": 70
60
+ },
61
+ {
62
+ "epoch": 0.030804774740084712,
63
+ "grad_norm": 0.26371654868125916,
64
+ "learning_rate": 9.999996111488723e-06,
65
+ "loss": 0.862,
66
+ "step": 80
67
+ },
68
+ {
69
+ "epoch": 0.0346553715825953,
70
+ "grad_norm": 0.248789981007576,
71
+ "learning_rate": 9.999529497453782e-06,
72
+ "loss": 0.8493,
73
+ "step": 90
74
+ },
75
+ {
76
+ "epoch": 0.03850596842510589,
77
+ "grad_norm": 0.22392897307872772,
78
+ "learning_rate": 9.998285264324193e-06,
79
+ "loss": 0.8184,
80
+ "step": 100
81
+ },
82
+ {
83
+ "epoch": 0.04235656526761648,
84
+ "grad_norm": 0.25852325558662415,
85
+ "learning_rate": 9.996263605626052e-06,
86
+ "loss": 0.808,
87
+ "step": 110
88
+ },
89
+ {
90
+ "epoch": 0.04620716211012707,
91
+ "grad_norm": 0.23502923548221588,
92
+ "learning_rate": 9.99346483580503e-06,
93
+ "loss": 0.8275,
94
+ "step": 120
95
+ },
96
+ {
97
+ "epoch": 0.05005775895263766,
98
+ "grad_norm": 0.231910839676857,
99
+ "learning_rate": 9.989889390177467e-06,
100
+ "loss": 0.8051,
101
+ "step": 130
102
+ },
103
+ {
104
+ "epoch": 0.05390835579514825,
105
+ "grad_norm": 0.23546458780765533,
106
+ "learning_rate": 9.985537824862647e-06,
107
+ "loss": 0.8179,
108
+ "step": 140
109
+ },
110
+ {
111
+ "epoch": 0.05775895263765884,
112
+ "grad_norm": 0.24376538395881653,
113
+ "learning_rate": 9.980410816696317e-06,
114
+ "loss": 0.7958,
115
+ "step": 150
116
+ },
117
+ {
118
+ "epoch": 0.061609549480169425,
119
+ "grad_norm": 0.222112774848938,
120
+ "learning_rate": 9.97450916312541e-06,
121
+ "loss": 0.8012,
122
+ "step": 160
123
+ },
124
+ {
125
+ "epoch": 0.06546014632268002,
126
+ "grad_norm": 0.19949842989444733,
127
+ "learning_rate": 9.967833782084004e-06,
128
+ "loss": 0.8012,
129
+ "step": 170
130
+ },
131
+ {
132
+ "epoch": 0.0693107431651906,
133
+ "grad_norm": 0.22356201708316803,
134
+ "learning_rate": 9.960385711850554e-06,
135
+ "loss": 0.8357,
136
+ "step": 180
137
+ },
138
+ {
139
+ "epoch": 0.07316134000770119,
140
+ "grad_norm": 0.26158228516578674,
141
+ "learning_rate": 9.952166110886394e-06,
142
+ "loss": 0.8206,
143
+ "step": 190
144
+ },
145
+ {
146
+ "epoch": 0.07701193685021178,
147
+ "grad_norm": 0.21951279044151306,
148
+ "learning_rate": 9.943176257655567e-06,
149
+ "loss": 0.8194,
150
+ "step": 200
151
+ },
152
+ {
153
+ "epoch": 0.08086253369272237,
154
+ "grad_norm": 0.22564436495304108,
155
+ "learning_rate": 9.933417550425952e-06,
156
+ "loss": 0.805,
157
+ "step": 210
158
+ },
159
+ {
160
+ "epoch": 0.08471313053523297,
161
+ "grad_norm": 0.2203492671251297,
162
+ "learning_rate": 9.9228915070518e-06,
163
+ "loss": 0.7974,
164
+ "step": 220
165
+ },
166
+ {
167
+ "epoch": 0.08856372737774355,
168
+ "grad_norm": 0.2143941968679428,
169
+ "learning_rate": 9.911599764737632e-06,
170
+ "loss": 0.7934,
171
+ "step": 230
172
+ },
173
+ {
174
+ "epoch": 0.09241432422025414,
175
+ "grad_norm": 0.2671578824520111,
176
+ "learning_rate": 9.899544079783606e-06,
177
+ "loss": 0.7876,
178
+ "step": 240
179
+ },
180
+ {
181
+ "epoch": 0.09626492106276473,
182
+ "grad_norm": 0.23260611295700073,
183
+ "learning_rate": 9.886726327312338e-06,
184
+ "loss": 0.8042,
185
+ "step": 250
186
+ },
187
+ {
188
+ "epoch": 0.10011551790527531,
189
+ "grad_norm": 0.19919155538082123,
190
+ "learning_rate": 9.87314850097724e-06,
191
+ "loss": 0.8024,
192
+ "step": 260
193
+ },
194
+ {
195
+ "epoch": 0.1039661147477859,
196
+ "grad_norm": 0.2139521986246109,
197
+ "learning_rate": 9.858812712652452e-06,
198
+ "loss": 0.7851,
199
+ "step": 270
200
+ },
201
+ {
202
+ "epoch": 0.1078167115902965,
203
+ "grad_norm": 0.19327878952026367,
204
+ "learning_rate": 9.843721192104341e-06,
205
+ "loss": 0.7833,
206
+ "step": 280
207
+ },
208
+ {
209
+ "epoch": 0.11166730843280709,
210
+ "grad_norm": 0.20642827451229095,
211
+ "learning_rate": 9.827876286644698e-06,
212
+ "loss": 0.8142,
213
+ "step": 290
214
+ },
215
+ {
216
+ "epoch": 0.11551790527531768,
217
+ "grad_norm": 0.19661162793636322,
218
+ "learning_rate": 9.811280460765643e-06,
219
+ "loss": 0.7725,
220
+ "step": 300
221
+ },
222
+ {
223
+ "epoch": 0.11936850211782826,
224
+ "grad_norm": 0.22463713586330414,
225
+ "learning_rate": 9.793936295756292e-06,
226
+ "loss": 0.7779,
227
+ "step": 310
228
+ },
229
+ {
230
+ "epoch": 0.12321909896033885,
231
+ "grad_norm": 0.20484596490859985,
232
+ "learning_rate": 9.775846489301279e-06,
233
+ "loss": 0.7868,
234
+ "step": 320
235
+ },
236
+ {
237
+ "epoch": 0.12706969580284944,
238
+ "grad_norm": 0.19802582263946533,
239
+ "learning_rate": 9.757013855061157e-06,
240
+ "loss": 0.7891,
241
+ "step": 330
242
+ },
243
+ {
244
+ "epoch": 0.13092029264536004,
245
+ "grad_norm": 0.21511024236679077,
246
+ "learning_rate": 9.737441322234758e-06,
247
+ "loss": 0.7922,
248
+ "step": 340
249
+ },
250
+ {
251
+ "epoch": 0.1347708894878706,
252
+ "grad_norm": 0.21737760305404663,
253
+ "learning_rate": 9.717131935103605e-06,
254
+ "loss": 0.798,
255
+ "step": 350
256
+ },
257
+ {
258
+ "epoch": 0.1386214863303812,
259
+ "grad_norm": 0.2019890546798706,
260
+ "learning_rate": 9.696088852558398e-06,
261
+ "loss": 0.778,
262
+ "step": 360
263
+ },
264
+ {
265
+ "epoch": 0.1424720831728918,
266
+ "grad_norm": 0.20504552125930786,
267
+ "learning_rate": 9.674315347607686e-06,
268
+ "loss": 0.8062,
269
+ "step": 370
270
+ },
271
+ {
272
+ "epoch": 0.14632268001540238,
273
+ "grad_norm": 0.21693632006645203,
274
+ "learning_rate": 9.651814806868796e-06,
275
+ "loss": 0.7706,
276
+ "step": 380
277
+ },
278
+ {
279
+ "epoch": 0.15017327685791299,
280
+ "grad_norm": 0.20214813947677612,
281
+ "learning_rate": 9.62859073004107e-06,
282
+ "loss": 0.775,
283
+ "step": 390
284
+ },
285
+ {
286
+ "epoch": 0.15402387370042356,
287
+ "grad_norm": 0.18735718727111816,
288
+ "learning_rate": 9.604646729361547e-06,
289
+ "loss": 0.7835,
290
+ "step": 400
291
+ },
292
+ {
293
+ "epoch": 0.15787447054293416,
294
+ "grad_norm": 0.2263060063123703,
295
+ "learning_rate": 9.579986529043099e-06,
296
+ "loss": 0.7801,
297
+ "step": 410
298
+ },
299
+ {
300
+ "epoch": 0.16172506738544473,
301
+ "grad_norm": 0.1998886615037918,
302
+ "learning_rate": 9.554613964695189e-06,
303
+ "loss": 0.7938,
304
+ "step": 420
305
+ },
306
+ {
307
+ "epoch": 0.16557566422795533,
308
+ "grad_norm": 0.20242783427238464,
309
+ "learning_rate": 9.528532982727281e-06,
310
+ "loss": 0.7739,
311
+ "step": 430
312
+ },
313
+ {
314
+ "epoch": 0.16942626107046593,
315
+ "grad_norm": 0.19862444698810577,
316
+ "learning_rate": 9.501747639735018e-06,
317
+ "loss": 0.7815,
318
+ "step": 440
319
+ },
320
+ {
321
+ "epoch": 0.1732768579129765,
322
+ "grad_norm": 0.2157806158065796,
323
+ "learning_rate": 9.474262101869272e-06,
324
+ "loss": 0.7662,
325
+ "step": 450
326
+ },
327
+ {
328
+ "epoch": 0.1771274547554871,
329
+ "grad_norm": 0.21996837854385376,
330
+ "learning_rate": 9.446080644188141e-06,
331
+ "loss": 0.7752,
332
+ "step": 460
333
+ },
334
+ {
335
+ "epoch": 0.18097805159799768,
336
+ "grad_norm": 0.24503469467163086,
337
+ "learning_rate": 9.417207649992017e-06,
338
+ "loss": 0.7788,
339
+ "step": 470
340
+ },
341
+ {
342
+ "epoch": 0.18482864844050828,
343
+ "grad_norm": 0.20652474462985992,
344
+ "learning_rate": 9.387647610141816e-06,
345
+ "loss": 0.7789,
346
+ "step": 480
347
+ },
348
+ {
349
+ "epoch": 0.18867924528301888,
350
+ "grad_norm": 0.19171978533267975,
351
+ "learning_rate": 9.35740512236047e-06,
352
+ "loss": 0.7717,
353
+ "step": 490
354
+ },
355
+ {
356
+ "epoch": 0.19252984212552945,
357
+ "grad_norm": 0.18400247395038605,
358
+ "learning_rate": 9.326484890517809e-06,
359
+ "loss": 0.7735,
360
+ "step": 500
361
+ },
362
+ {
363
+ "epoch": 0.19638043896804006,
364
+ "grad_norm": 0.19590094685554504,
365
+ "learning_rate": 9.294891723898926e-06,
366
+ "loss": 0.7638,
367
+ "step": 510
368
+ },
369
+ {
370
+ "epoch": 0.20023103581055063,
371
+ "grad_norm": 0.20248863101005554,
372
+ "learning_rate": 9.262630536456153e-06,
373
+ "loss": 0.7881,
374
+ "step": 520
375
+ },
376
+ {
377
+ "epoch": 0.20408163265306123,
378
+ "grad_norm": 0.2197762429714203,
379
+ "learning_rate": 9.229706346044749e-06,
380
+ "loss": 0.7725,
381
+ "step": 530
382
+ },
383
+ {
384
+ "epoch": 0.2079322294955718,
385
+ "grad_norm": 0.20481982827186584,
386
+ "learning_rate": 9.196124273642422e-06,
387
+ "loss": 0.7818,
388
+ "step": 540
389
+ },
390
+ {
391
+ "epoch": 0.2117828263380824,
392
+ "grad_norm": 0.18804505467414856,
393
+ "learning_rate": 9.161889542552842e-06,
394
+ "loss": 0.7852,
395
+ "step": 550
396
+ },
397
+ {
398
+ "epoch": 0.215633423180593,
399
+ "grad_norm": 0.20660004019737244,
400
+ "learning_rate": 9.127007477593193e-06,
401
+ "loss": 0.7893,
402
+ "step": 560
403
+ },
404
+ {
405
+ "epoch": 0.21948402002310358,
406
+ "grad_norm": 0.20455171167850494,
407
+ "learning_rate": 9.091483504265974e-06,
408
+ "loss": 0.8052,
409
+ "step": 570
410
+ },
411
+ {
412
+ "epoch": 0.22333461686561418,
413
+ "grad_norm": 0.2097969353199005,
414
+ "learning_rate": 9.055323147915116e-06,
415
+ "loss": 0.7707,
416
+ "step": 580
417
+ },
418
+ {
419
+ "epoch": 0.22718521370812475,
420
+ "grad_norm": 0.21237558126449585,
421
+ "learning_rate": 9.018532032866585e-06,
422
+ "loss": 0.788,
423
+ "step": 590
424
+ },
425
+ {
426
+ "epoch": 0.23103581055063535,
427
+ "grad_norm": 0.19430631399154663,
428
+ "learning_rate": 8.981115881553579e-06,
429
+ "loss": 0.785,
430
+ "step": 600
431
+ },
432
+ {
433
+ "epoch": 0.23488640739314592,
434
+ "grad_norm": 0.21062645316123962,
435
+ "learning_rate": 8.943080513626476e-06,
436
+ "loss": 0.8025,
437
+ "step": 610
438
+ },
439
+ {
440
+ "epoch": 0.23873700423565652,
441
+ "grad_norm": 0.1930646449327469,
442
+ "learning_rate": 8.904431845047641e-06,
443
+ "loss": 0.7811,
444
+ "step": 620
445
+ },
446
+ {
447
+ "epoch": 0.24258760107816713,
448
+ "grad_norm": 0.21288205683231354,
449
+ "learning_rate": 8.86517588717128e-06,
450
+ "loss": 0.7931,
451
+ "step": 630
452
+ },
453
+ {
454
+ "epoch": 0.2464381979206777,
455
+ "grad_norm": 0.23094123601913452,
456
+ "learning_rate": 8.82531874580844e-06,
457
+ "loss": 0.7888,
458
+ "step": 640
459
+ },
460
+ {
461
+ "epoch": 0.25028879476318827,
462
+ "grad_norm": 0.18311679363250732,
463
+ "learning_rate": 8.784866620277314e-06,
464
+ "loss": 0.75,
465
+ "step": 650
466
+ },
467
+ {
468
+ "epoch": 0.25413939160569887,
469
+ "grad_norm": 0.2224738597869873,
470
+ "learning_rate": 8.743825802439018e-06,
471
+ "loss": 0.7787,
472
+ "step": 660
473
+ },
474
+ {
475
+ "epoch": 0.2579899884482095,
476
+ "grad_norm": 0.19498324394226074,
477
+ "learning_rate": 8.702202675718956e-06,
478
+ "loss": 0.7851,
479
+ "step": 670
480
+ },
481
+ {
482
+ "epoch": 0.2618405852907201,
483
+ "grad_norm": 0.1863132268190384,
484
+ "learning_rate": 8.660003714113959e-06,
485
+ "loss": 0.768,
486
+ "step": 680
487
+ },
488
+ {
489
+ "epoch": 0.2656911821332307,
490
+ "grad_norm": 0.19364653527736664,
491
+ "learning_rate": 8.617235481185323e-06,
492
+ "loss": 0.7786,
493
+ "step": 690
494
+ },
495
+ {
496
+ "epoch": 0.2695417789757412,
497
+ "grad_norm": 0.20025360584259033,
498
+ "learning_rate": 8.573904629037931e-06,
499
+ "loss": 0.7893,
500
+ "step": 700
501
+ },
502
+ {
503
+ "epoch": 0.2733923758182518,
504
+ "grad_norm": 0.1826668530702591,
505
+ "learning_rate": 8.530017897285585e-06,
506
+ "loss": 0.7705,
507
+ "step": 710
508
+ },
509
+ {
510
+ "epoch": 0.2772429726607624,
511
+ "grad_norm": 0.18355025351047516,
512
+ "learning_rate": 8.485582112002746e-06,
513
+ "loss": 0.7712,
514
+ "step": 720
515
+ },
516
+ {
517
+ "epoch": 0.281093569503273,
518
+ "grad_norm": 0.20934073626995087,
519
+ "learning_rate": 8.440604184662811e-06,
520
+ "loss": 0.7828,
521
+ "step": 730
522
+ },
523
+ {
524
+ "epoch": 0.2849441663457836,
525
+ "grad_norm": 0.21577824652194977,
526
+ "learning_rate": 8.395091111063118e-06,
527
+ "loss": 0.7678,
528
+ "step": 740
529
+ },
530
+ {
531
+ "epoch": 0.28879476318829417,
532
+ "grad_norm": 0.19127385318279266,
533
+ "learning_rate": 8.349049970236822e-06,
534
+ "loss": 0.7639,
535
+ "step": 750
536
+ },
537
+ {
538
+ "epoch": 0.29264536003080477,
539
+ "grad_norm": 0.19271071255207062,
540
+ "learning_rate": 8.302487923351842e-06,
541
+ "loss": 0.7613,
542
+ "step": 760
543
+ },
544
+ {
545
+ "epoch": 0.29649595687331537,
546
+ "grad_norm": 0.19173991680145264,
547
+ "learning_rate": 8.255412212597021e-06,
548
+ "loss": 0.7802,
549
+ "step": 770
550
+ },
551
+ {
552
+ "epoch": 0.30034655371582597,
553
+ "grad_norm": 0.20861193537712097,
554
+ "learning_rate": 8.207830160055688e-06,
555
+ "loss": 0.7743,
556
+ "step": 780
557
+ },
558
+ {
559
+ "epoch": 0.3041971505583365,
560
+ "grad_norm": 0.20526845753192902,
561
+ "learning_rate": 8.159749166566786e-06,
562
+ "loss": 0.7593,
563
+ "step": 790
564
+ },
565
+ {
566
+ "epoch": 0.3080477474008471,
567
+ "grad_norm": 0.189853698015213,
568
+ "learning_rate": 8.11117671057377e-06,
569
+ "loss": 0.7808,
570
+ "step": 800
571
+ },
572
+ {
573
+ "epoch": 0.3118983442433577,
574
+ "grad_norm": 0.19004005193710327,
575
+ "learning_rate": 8.062120346961404e-06,
576
+ "loss": 0.7797,
577
+ "step": 810
578
+ },
579
+ {
580
+ "epoch": 0.3157489410858683,
581
+ "grad_norm": 0.1859138309955597,
582
+ "learning_rate": 8.012587705880705e-06,
583
+ "loss": 0.7768,
584
+ "step": 820
585
+ },
586
+ {
587
+ "epoch": 0.3195995379283789,
588
+ "grad_norm": 0.19552645087242126,
589
+ "learning_rate": 7.962586491562146e-06,
590
+ "loss": 0.7636,
591
+ "step": 830
592
+ },
593
+ {
594
+ "epoch": 0.32345013477088946,
595
+ "grad_norm": 0.20366783440113068,
596
+ "learning_rate": 7.912124481117357e-06,
597
+ "loss": 0.7627,
598
+ "step": 840
599
+ },
600
+ {
601
+ "epoch": 0.32730073161340006,
602
+ "grad_norm": 0.19043181836605072,
603
+ "learning_rate": 7.861209523329494e-06,
604
+ "loss": 0.7716,
605
+ "step": 850
606
+ },
607
+ {
608
+ "epoch": 0.33115132845591067,
609
+ "grad_norm": 0.19613152742385864,
610
+ "learning_rate": 7.809849537432432e-06,
611
+ "loss": 0.765,
612
+ "step": 860
613
+ },
614
+ {
615
+ "epoch": 0.33500192529842127,
616
+ "grad_norm": 0.19356700778007507,
617
+ "learning_rate": 7.758052511879035e-06,
618
+ "loss": 0.7672,
619
+ "step": 870
620
+ },
621
+ {
622
+ "epoch": 0.33885252214093187,
623
+ "grad_norm": 0.19087448716163635,
624
+ "learning_rate": 7.705826503098642e-06,
625
+ "loss": 0.7707,
626
+ "step": 880
627
+ },
628
+ {
629
+ "epoch": 0.3427031189834424,
630
+ "grad_norm": 0.18822719156742096,
631
+ "learning_rate": 7.653179634243979e-06,
632
+ "loss": 0.7628,
633
+ "step": 890
634
+ },
635
+ {
636
+ "epoch": 0.346553715825953,
637
+ "grad_norm": 0.19496400654315948,
638
+ "learning_rate": 7.600120093927696e-06,
639
+ "loss": 0.768,
640
+ "step": 900
641
+ },
642
+ {
643
+ "epoch": 0.3504043126684636,
644
+ "grad_norm": 0.2164679914712906,
645
+ "learning_rate": 7.546656134948729e-06,
646
+ "loss": 0.7578,
647
+ "step": 910
648
+ },
649
+ {
650
+ "epoch": 0.3542549095109742,
651
+ "grad_norm": 0.18794584274291992,
652
+ "learning_rate": 7.492796073008661e-06,
653
+ "loss": 0.7627,
654
+ "step": 920
655
+ },
656
+ {
657
+ "epoch": 0.3581055063534848,
658
+ "grad_norm": 0.22329799830913544,
659
+ "learning_rate": 7.438548285418326e-06,
660
+ "loss": 0.7451,
661
+ "step": 930
662
+ },
663
+ {
664
+ "epoch": 0.36195610319599536,
665
+ "grad_norm": 0.20577295124530792,
666
+ "learning_rate": 7.3839212097948e-06,
667
+ "loss": 0.7756,
668
+ "step": 940
669
+ },
670
+ {
671
+ "epoch": 0.36580670003850596,
672
+ "grad_norm": 0.1911604255437851,
673
+ "learning_rate": 7.328923342749039e-06,
674
+ "loss": 0.7921,
675
+ "step": 950
676
+ },
677
+ {
678
+ "epoch": 0.36965729688101656,
679
+ "grad_norm": 0.20283295214176178,
680
+ "learning_rate": 7.273563238564319e-06,
681
+ "loss": 0.7872,
682
+ "step": 960
683
+ },
684
+ {
685
+ "epoch": 0.37350789372352716,
686
+ "grad_norm": 0.23633213341236115,
687
+ "learning_rate": 7.217849507865724e-06,
688
+ "loss": 0.7576,
689
+ "step": 970
690
+ },
691
+ {
692
+ "epoch": 0.37735849056603776,
693
+ "grad_norm": 0.19726745784282684,
694
+ "learning_rate": 7.161790816280858e-06,
695
+ "loss": 0.7655,
696
+ "step": 980
697
+ },
698
+ {
699
+ "epoch": 0.3812090874085483,
700
+ "grad_norm": 0.20084330439567566,
701
+ "learning_rate": 7.1053958830920125e-06,
702
+ "loss": 0.7559,
703
+ "step": 990
704
+ },
705
+ {
706
+ "epoch": 0.3850596842510589,
707
+ "grad_norm": 0.1924135982990265,
708
+ "learning_rate": 7.0486734798799715e-06,
709
+ "loss": 0.7643,
710
+ "step": 1000
711
+ },
712
+ {
713
+ "epoch": 0.3889102810935695,
714
+ "grad_norm": 0.18516455590724945,
715
+ "learning_rate": 6.991632429159708e-06,
716
+ "loss": 0.7832,
717
+ "step": 1010
718
+ },
719
+ {
720
+ "epoch": 0.3927608779360801,
721
+ "grad_norm": 0.20828357338905334,
722
+ "learning_rate": 6.934281603008132e-06,
723
+ "loss": 0.7828,
724
+ "step": 1020
725
+ },
726
+ {
727
+ "epoch": 0.39661147477859066,
728
+ "grad_norm": 0.1761811375617981,
729
+ "learning_rate": 6.876629921684143e-06,
730
+ "loss": 0.7797,
731
+ "step": 1030
732
+ },
733
+ {
734
+ "epoch": 0.40046207162110126,
735
+ "grad_norm": 0.20221911370754242,
736
+ "learning_rate": 6.818686352241199e-06,
737
+ "loss": 0.7676,
738
+ "step": 1040
739
+ },
740
+ {
741
+ "epoch": 0.40431266846361186,
742
+ "grad_norm": 0.17899301648139954,
743
+ "learning_rate": 6.760459907132573e-06,
744
+ "loss": 0.7632,
745
+ "step": 1050
746
+ },
747
+ {
748
+ "epoch": 0.40816326530612246,
749
+ "grad_norm": 0.1977955400943756,
750
+ "learning_rate": 6.701959642809589e-06,
751
+ "loss": 0.7696,
752
+ "step": 1060
753
+ },
754
+ {
755
+ "epoch": 0.41201386214863306,
756
+ "grad_norm": 0.20169883966445923,
757
+ "learning_rate": 6.643194658312987e-06,
758
+ "loss": 0.7617,
759
+ "step": 1070
760
+ },
761
+ {
762
+ "epoch": 0.4158644589911436,
763
+ "grad_norm": 0.17500686645507812,
764
+ "learning_rate": 6.584174093857676e-06,
765
+ "loss": 0.7866,
766
+ "step": 1080
767
+ },
768
+ {
769
+ "epoch": 0.4197150558336542,
770
+ "grad_norm": 0.2071775496006012,
771
+ "learning_rate": 6.5249071294110735e-06,
772
+ "loss": 0.7681,
773
+ "step": 1090
774
+ },
775
+ {
776
+ "epoch": 0.4235656526761648,
777
+ "grad_norm": 0.2012370079755783,
778
+ "learning_rate": 6.465402983265274e-06,
779
+ "loss": 0.7804,
780
+ "step": 1100
781
+ },
782
+ {
783
+ "epoch": 0.4274162495186754,
784
+ "grad_norm": 0.19982191920280457,
785
+ "learning_rate": 6.405670910603243e-06,
786
+ "loss": 0.7736,
787
+ "step": 1110
788
+ },
789
+ {
790
+ "epoch": 0.431266846361186,
791
+ "grad_norm": 0.2582288682460785,
792
+ "learning_rate": 6.345720202059291e-06,
793
+ "loss": 0.7718,
794
+ "step": 1120
795
+ },
796
+ {
797
+ "epoch": 0.43511744320369655,
798
+ "grad_norm": 0.21366888284683228,
799
+ "learning_rate": 6.285560182274008e-06,
800
+ "loss": 0.7516,
801
+ "step": 1130
802
+ },
803
+ {
804
+ "epoch": 0.43896804004620715,
805
+ "grad_norm": 0.20318078994750977,
806
+ "learning_rate": 6.225200208443936e-06,
807
+ "loss": 0.7764,
808
+ "step": 1140
809
+ },
810
+ {
811
+ "epoch": 0.44281863688871775,
812
+ "grad_norm": 0.19311819970607758,
813
+ "learning_rate": 6.16464966886616e-06,
814
+ "loss": 0.7614,
815
+ "step": 1150
816
+ },
817
+ {
818
+ "epoch": 0.44666923373122835,
819
+ "grad_norm": 0.2308569699525833,
820
+ "learning_rate": 6.103917981478065e-06,
821
+ "loss": 0.7894,
822
+ "step": 1160
823
+ },
824
+ {
825
+ "epoch": 0.45051983057373896,
826
+ "grad_norm": 0.17916272580623627,
827
+ "learning_rate": 6.043014592392489e-06,
828
+ "loss": 0.7967,
829
+ "step": 1170
830
+ },
831
+ {
832
+ "epoch": 0.4543704274162495,
833
+ "grad_norm": 0.18941523134708405,
834
+ "learning_rate": 5.981948974428485e-06,
835
+ "loss": 0.7763,
836
+ "step": 1180
837
+ },
838
+ {
839
+ "epoch": 0.4582210242587601,
840
+ "grad_norm": 0.1806224137544632,
841
+ "learning_rate": 5.920730625637934e-06,
842
+ "loss": 0.755,
843
+ "step": 1190
844
+ },
845
+ {
846
+ "epoch": 0.4620716211012707,
847
+ "grad_norm": 0.19633932411670685,
848
+ "learning_rate": 5.8593690678282355e-06,
849
+ "loss": 0.7615,
850
+ "step": 1200
851
+ },
852
+ {
853
+ "epoch": 0.4659222179437813,
854
+ "grad_norm": 0.18751493096351624,
855
+ "learning_rate": 5.797873845081301e-06,
856
+ "loss": 0.7598,
857
+ "step": 1210
858
+ },
859
+ {
860
+ "epoch": 0.46977281478629185,
861
+ "grad_norm": 0.23132239282131195,
862
+ "learning_rate": 5.736254522269075e-06,
863
+ "loss": 0.7859,
864
+ "step": 1220
865
+ },
866
+ {
867
+ "epoch": 0.47362341162880245,
868
+ "grad_norm": 0.18840403854846954,
869
+ "learning_rate": 5.6745206835658386e-06,
870
+ "loss": 0.7802,
871
+ "step": 1230
872
+ },
873
+ {
874
+ "epoch": 0.47747400847131305,
875
+ "grad_norm": 0.2118271440267563,
876
+ "learning_rate": 5.612681930957495e-06,
877
+ "loss": 0.7596,
878
+ "step": 1240
879
+ },
880
+ {
881
+ "epoch": 0.48132460531382365,
882
+ "grad_norm": 0.18964430689811707,
883
+ "learning_rate": 5.550747882748095e-06,
884
+ "loss": 0.7529,
885
+ "step": 1250
886
+ },
887
+ {
888
+ "epoch": 0.48517520215633425,
889
+ "grad_norm": 0.24254867434501648,
890
+ "learning_rate": 5.4887281720638195e-06,
891
+ "loss": 0.7649,
892
+ "step": 1260
893
+ },
894
+ {
895
+ "epoch": 0.4890257989988448,
896
+ "grad_norm": 0.20590829849243164,
897
+ "learning_rate": 5.42663244535466e-06,
898
+ "loss": 0.7448,
899
+ "step": 1270
900
+ },
901
+ {
902
+ "epoch": 0.4928763958413554,
903
+ "grad_norm": 0.19830571115016937,
904
+ "learning_rate": 5.3644703608940205e-06,
905
+ "loss": 0.7591,
906
+ "step": 1280
907
+ },
908
+ {
909
+ "epoch": 0.496726992683866,
910
+ "grad_norm": 0.18139973282814026,
911
+ "learning_rate": 5.302251587276491e-06,
912
+ "loss": 0.7713,
913
+ "step": 1290
914
+ },
915
+ {
916
+ "epoch": 0.5005775895263765,
917
+ "grad_norm": 0.18851538002490997,
918
+ "learning_rate": 5.2399858019140005e-06,
919
+ "loss": 0.762,
920
+ "step": 1300
921
+ },
922
+ {
923
+ "epoch": 0.5044281863688872,
924
+ "grad_norm": 0.1952233910560608,
925
+ "learning_rate": 5.177682689530615e-06,
926
+ "loss": 0.7792,
927
+ "step": 1310
928
+ },
929
+ {
930
+ "epoch": 0.5082787832113977,
931
+ "grad_norm": 0.20707282423973083,
932
+ "learning_rate": 5.11535194065619e-06,
933
+ "loss": 0.7526,
934
+ "step": 1320
935
+ },
936
+ {
937
+ "epoch": 0.5121293800539084,
938
+ "grad_norm": 0.20025214552879333,
939
+ "learning_rate": 5.053003250119113e-06,
940
+ "loss": 0.7615,
941
+ "step": 1330
942
+ },
943
+ {
944
+ "epoch": 0.515979976896419,
945
+ "grad_norm": 0.22048985958099365,
946
+ "learning_rate": 4.9906463155383925e-06,
947
+ "loss": 0.7652,
948
+ "step": 1340
949
+ },
950
+ {
951
+ "epoch": 0.5198305737389295,
952
+ "grad_norm": 0.19374260306358337,
953
+ "learning_rate": 4.9282908358153046e-06,
954
+ "loss": 0.7607,
955
+ "step": 1350
956
+ },
957
+ {
958
+ "epoch": 0.5236811705814401,
959
+ "grad_norm": 0.2051430344581604,
960
+ "learning_rate": 4.8659465096248345e-06,
961
+ "loss": 0.7794,
962
+ "step": 1360
963
+ },
964
+ {
965
+ "epoch": 0.5275317674239507,
966
+ "grad_norm": 0.20753945410251617,
967
+ "learning_rate": 4.803623033907169e-06,
968
+ "loss": 0.773,
969
+ "step": 1370
970
+ },
971
+ {
972
+ "epoch": 0.5313823642664613,
973
+ "grad_norm": 0.19956839084625244,
974
+ "learning_rate": 4.741330102359441e-06,
975
+ "loss": 0.7852,
976
+ "step": 1380
977
+ },
978
+ {
979
+ "epoch": 0.5352329611089719,
980
+ "grad_norm": 0.19204971194267273,
981
+ "learning_rate": 4.679077403927996e-06,
982
+ "loss": 0.7607,
983
+ "step": 1390
984
+ },
985
+ {
986
+ "epoch": 0.5390835579514824,
987
+ "grad_norm": 0.19470274448394775,
988
+ "learning_rate": 4.616874621301373e-06,
989
+ "loss": 0.7613,
990
+ "step": 1400
991
+ },
992
+ {
993
+ "epoch": 0.5429341547939931,
994
+ "grad_norm": 0.21328340470790863,
995
+ "learning_rate": 4.554731429404293e-06,
996
+ "loss": 0.7778,
997
+ "step": 1410
998
+ },
999
+ {
1000
+ "epoch": 0.5467847516365036,
1001
+ "grad_norm": 0.22179177403450012,
1002
+ "learning_rate": 4.492657493892822e-06,
1003
+ "loss": 0.7633,
1004
+ "step": 1420
1005
+ },
1006
+ {
1007
+ "epoch": 0.5506353484790143,
1008
+ "grad_norm": 0.2016112357378006,
1009
+ "learning_rate": 4.430662469650999e-06,
1010
+ "loss": 0.7762,
1011
+ "step": 1430
1012
+ },
1013
+ {
1014
+ "epoch": 0.5544859453215248,
1015
+ "grad_norm": 0.20210574567317963,
1016
+ "learning_rate": 4.368755999289118e-06,
1017
+ "loss": 0.7762,
1018
+ "step": 1440
1019
+ },
1020
+ {
1021
+ "epoch": 0.5583365421640354,
1022
+ "grad_norm": 0.20396196842193604,
1023
+ "learning_rate": 4.306947711643949e-06,
1024
+ "loss": 0.7613,
1025
+ "step": 1450
1026
+ },
1027
+ {
1028
+ "epoch": 0.562187139006546,
1029
+ "grad_norm": 0.19407010078430176,
1030
+ "learning_rate": 4.245247220281068e-06,
1031
+ "loss": 0.7648,
1032
+ "step": 1460
1033
+ },
1034
+ {
1035
+ "epoch": 0.5660377358490566,
1036
+ "grad_norm": 0.18850551545619965,
1037
+ "learning_rate": 4.183664121999587e-06,
1038
+ "loss": 0.7628,
1039
+ "step": 1470
1040
+ },
1041
+ {
1042
+ "epoch": 0.5698883326915672,
1043
+ "grad_norm": 0.19612917304039001,
1044
+ "learning_rate": 4.122207995339474e-06,
1045
+ "loss": 0.7548,
1046
+ "step": 1480
1047
+ },
1048
+ {
1049
+ "epoch": 0.5737389295340778,
1050
+ "grad_norm": 0.19246086478233337,
1051
+ "learning_rate": 4.060888399091734e-06,
1052
+ "loss": 0.7642,
1053
+ "step": 1490
1054
+ },
1055
+ {
1056
+ "epoch": 0.5775895263765883,
1057
+ "grad_norm": 0.18524059653282166,
1058
+ "learning_rate": 3.999714870811639e-06,
1059
+ "loss": 0.7741,
1060
+ "step": 1500
1061
+ },
1062
+ {
1063
+ "epoch": 0.581440123219099,
1064
+ "grad_norm": 0.20167279243469238,
1065
+ "learning_rate": 3.938696925335275e-06,
1066
+ "loss": 0.7685,
1067
+ "step": 1510
1068
+ },
1069
+ {
1070
+ "epoch": 0.5852907200616095,
1071
+ "grad_norm": 0.18984679877758026,
1072
+ "learning_rate": 3.87784405329962e-06,
1073
+ "loss": 0.7764,
1074
+ "step": 1520
1075
+ },
1076
+ {
1077
+ "epoch": 0.5891413169041202,
1078
+ "grad_norm": 0.18292145431041718,
1079
+ "learning_rate": 3.817165719666382e-06,
1080
+ "loss": 0.7779,
1081
+ "step": 1530
1082
+ },
1083
+ {
1084
+ "epoch": 0.5929919137466307,
1085
+ "grad_norm": 0.1842818409204483,
1086
+ "learning_rate": 3.756671362249841e-06,
1087
+ "loss": 0.7775,
1088
+ "step": 1540
1089
+ },
1090
+ {
1091
+ "epoch": 0.5968425105891413,
1092
+ "grad_norm": 0.18087689578533173,
1093
+ "learning_rate": 3.6963703902488907e-06,
1094
+ "loss": 0.7656,
1095
+ "step": 1550
1096
+ },
1097
+ {
1098
+ "epoch": 0.6006931074316519,
1099
+ "grad_norm": 0.18737493455410004,
1100
+ "learning_rate": 3.6362721827835655e-06,
1101
+ "loss": 0.7808,
1102
+ "step": 1560
1103
+ },
1104
+ {
1105
+ "epoch": 0.6045437042741625,
1106
+ "grad_norm": 0.2005355805158615,
1107
+ "learning_rate": 3.576386087436212e-06,
1108
+ "loss": 0.7823,
1109
+ "step": 1570
1110
+ },
1111
+ {
1112
+ "epoch": 0.608394301116673,
1113
+ "grad_norm": 0.20332132279872894,
1114
+ "learning_rate": 3.5167214187975913e-06,
1115
+ "loss": 0.7756,
1116
+ "step": 1580
1117
+ },
1118
+ {
1119
+ "epoch": 0.6122448979591837,
1120
+ "grad_norm": 0.1766621470451355,
1121
+ "learning_rate": 3.457287457018086e-06,
1122
+ "loss": 0.7702,
1123
+ "step": 1590
1124
+ },
1125
+ {
1126
+ "epoch": 0.6160954948016942,
1127
+ "grad_norm": 0.19128234684467316,
1128
+ "learning_rate": 3.3980934463643003e-06,
1129
+ "loss": 0.7659,
1130
+ "step": 1600
1131
+ },
1132
+ {
1133
+ "epoch": 0.6199460916442049,
1134
+ "grad_norm": 0.1821596622467041,
1135
+ "learning_rate": 3.3391485937812053e-06,
1136
+ "loss": 0.7442,
1137
+ "step": 1610
1138
+ },
1139
+ {
1140
+ "epoch": 0.6237966884867154,
1141
+ "grad_norm": 0.19856354594230652,
1142
+ "learning_rate": 3.280462067460115e-06,
1143
+ "loss": 0.7453,
1144
+ "step": 1620
1145
+ },
1146
+ {
1147
+ "epoch": 0.627647285329226,
1148
+ "grad_norm": 0.1960906982421875,
1149
+ "learning_rate": 3.222042995412669e-06,
1150
+ "loss": 0.7711,
1151
+ "step": 1630
1152
+ },
1153
+ {
1154
+ "epoch": 0.6314978821717366,
1155
+ "grad_norm": 0.17544928193092346,
1156
+ "learning_rate": 3.163900464051089e-06,
1157
+ "loss": 0.7617,
1158
+ "step": 1640
1159
+ },
1160
+ {
1161
+ "epoch": 0.6353484790142472,
1162
+ "grad_norm": 0.19579564034938812,
1163
+ "learning_rate": 3.1060435167748826e-06,
1164
+ "loss": 0.7765,
1165
+ "step": 1650
1166
+ },
1167
+ {
1168
+ "epoch": 0.6391990758567578,
1169
+ "grad_norm": 0.19258788228034973,
1170
+ "learning_rate": 3.048481152564253e-06,
1171
+ "loss": 0.7526,
1172
+ "step": 1660
1173
+ },
1174
+ {
1175
+ "epoch": 0.6430496726992684,
1176
+ "grad_norm": 0.20313440263271332,
1177
+ "learning_rate": 2.9912223245804017e-06,
1178
+ "loss": 0.7694,
1179
+ "step": 1670
1180
+ },
1181
+ {
1182
+ "epoch": 0.6469002695417789,
1183
+ "grad_norm": 0.1922564059495926,
1184
+ "learning_rate": 2.934275938772981e-06,
1185
+ "loss": 0.7643,
1186
+ "step": 1680
1187
+ },
1188
+ {
1189
+ "epoch": 0.6507508663842896,
1190
+ "grad_norm": 0.1986064314842224,
1191
+ "learning_rate": 2.8776508524948676e-06,
1192
+ "loss": 0.7582,
1193
+ "step": 1690
1194
+ },
1195
+ {
1196
+ "epoch": 0.6546014632268001,
1197
+ "grad_norm": 0.18549329042434692,
1198
+ "learning_rate": 2.821355873124503e-06,
1199
+ "loss": 0.7616,
1200
+ "step": 1700
1201
+ },
1202
+ {
1203
+ "epoch": 0.6584520600693108,
1204
+ "grad_norm": 0.20000959932804108,
1205
+ "learning_rate": 2.7653997566960144e-06,
1206
+ "loss": 0.7662,
1207
+ "step": 1710
1208
+ },
1209
+ {
1210
+ "epoch": 0.6623026569118213,
1211
+ "grad_norm": 0.21805861592292786,
1212
+ "learning_rate": 2.709791206537309e-06,
1213
+ "loss": 0.7596,
1214
+ "step": 1720
1215
+ },
1216
+ {
1217
+ "epoch": 0.6661532537543319,
1218
+ "grad_norm": 0.2058684378862381,
1219
+ "learning_rate": 2.6545388719163747e-06,
1220
+ "loss": 0.7673,
1221
+ "step": 1730
1222
+ },
1223
+ {
1224
+ "epoch": 0.6700038505968425,
1225
+ "grad_norm": 0.18672791123390198,
1226
+ "learning_rate": 2.599651346695979e-06,
1227
+ "loss": 0.7744,
1228
+ "step": 1740
1229
+ },
1230
+ {
1231
+ "epoch": 0.6738544474393531,
1232
+ "grad_norm": 0.18248121440410614,
1233
+ "learning_rate": 2.545137167997007e-06,
1234
+ "loss": 0.7665,
1235
+ "step": 1750
1236
+ },
1237
+ {
1238
+ "epoch": 0.6777050442818637,
1239
+ "grad_norm": 0.18443851172924042,
1240
+ "learning_rate": 2.4910048148705972e-06,
1241
+ "loss": 0.7609,
1242
+ "step": 1760
1243
+ },
1244
+ {
1245
+ "epoch": 0.6815556411243743,
1246
+ "grad_norm": 0.21330687403678894,
1247
+ "learning_rate": 2.4372627069793327e-06,
1248
+ "loss": 0.7955,
1249
+ "step": 1770
1250
+ },
1251
+ {
1252
+ "epoch": 0.6854062379668848,
1253
+ "grad_norm": 0.18666929006576538,
1254
+ "learning_rate": 2.3839192032876486e-06,
1255
+ "loss": 0.7729,
1256
+ "step": 1780
1257
+ },
1258
+ {
1259
+ "epoch": 0.6892568348093955,
1260
+ "grad_norm": 0.19598640501499176,
1261
+ "learning_rate": 2.3309826007617047e-06,
1262
+ "loss": 0.7883,
1263
+ "step": 1790
1264
+ },
1265
+ {
1266
+ "epoch": 0.693107431651906,
1267
+ "grad_norm": 0.19644838571548462,
1268
+ "learning_rate": 2.278461133078881e-06,
1269
+ "loss": 0.756,
1270
+ "step": 1800
1271
+ },
1272
+ {
1273
+ "epoch": 0.6969580284944167,
1274
+ "grad_norm": 0.19326788187026978,
1275
+ "learning_rate": 2.2263629693471258e-06,
1276
+ "loss": 0.75,
1277
+ "step": 1810
1278
+ },
1279
+ {
1280
+ "epoch": 0.7008086253369272,
1281
+ "grad_norm": 0.20547795295715332,
1282
+ "learning_rate": 2.1746962128343414e-06,
1283
+ "loss": 0.7738,
1284
+ "step": 1820
1285
+ },
1286
+ {
1287
+ "epoch": 0.7046592221794378,
1288
+ "grad_norm": 0.19207531213760376,
1289
+ "learning_rate": 2.1234688997080183e-06,
1290
+ "loss": 0.7561,
1291
+ "step": 1830
1292
+ },
1293
+ {
1294
+ "epoch": 0.7085098190219484,
1295
+ "grad_norm": 0.19322289526462555,
1296
+ "learning_rate": 2.0726889977853053e-06,
1297
+ "loss": 0.7617,
1298
+ "step": 1840
1299
+ },
1300
+ {
1301
+ "epoch": 0.712360415864459,
1302
+ "grad_norm": 0.2072189599275589,
1303
+ "learning_rate": 2.022364405293703e-06,
1304
+ "loss": 0.7752,
1305
+ "step": 1850
1306
+ },
1307
+ {
1308
+ "epoch": 0.7162110127069696,
1309
+ "grad_norm": 0.18829257786273956,
1310
+ "learning_rate": 1.9725029496425814e-06,
1311
+ "loss": 0.7739,
1312
+ "step": 1860
1313
+ },
1314
+ {
1315
+ "epoch": 0.7200616095494802,
1316
+ "grad_norm": 0.191069558262825,
1317
+ "learning_rate": 1.923112386205727e-06,
1318
+ "loss": 0.7648,
1319
+ "step": 1870
1320
+ },
1321
+ {
1322
+ "epoch": 0.7239122063919907,
1323
+ "grad_norm": 0.19077344238758087,
1324
+ "learning_rate": 1.874200397115079e-06,
1325
+ "loss": 0.7761,
1326
+ "step": 1880
1327
+ },
1328
+ {
1329
+ "epoch": 0.7277628032345014,
1330
+ "grad_norm": 0.19140101969242096,
1331
+ "learning_rate": 1.825774590065857e-06,
1332
+ "loss": 0.7606,
1333
+ "step": 1890
1334
+ },
1335
+ {
1336
+ "epoch": 0.7316134000770119,
1337
+ "grad_norm": 0.21423035860061646,
1338
+ "learning_rate": 1.7778424971332813e-06,
1339
+ "loss": 0.7714,
1340
+ "step": 1900
1341
+ },
1342
+ {
1343
+ "epoch": 0.7354639969195226,
1344
+ "grad_norm": 0.18356549739837646,
1345
+ "learning_rate": 1.7304115736010407e-06,
1346
+ "loss": 0.7704,
1347
+ "step": 1910
1348
+ },
1349
+ {
1350
+ "epoch": 0.7393145937620331,
1351
+ "grad_norm": 0.1873455047607422,
1352
+ "learning_rate": 1.6834891968017108e-06,
1353
+ "loss": 0.7572,
1354
+ "step": 1920
1355
+ },
1356
+ {
1357
+ "epoch": 0.7431651906045437,
1358
+ "grad_norm": 0.19675830006599426,
1359
+ "learning_rate": 1.6370826649692884e-06,
1360
+ "loss": 0.7789,
1361
+ "step": 1930
1362
+ },
1363
+ {
1364
+ "epoch": 0.7470157874470543,
1365
+ "grad_norm": 0.1839846670627594,
1366
+ "learning_rate": 1.5911991961040463e-06,
1367
+ "loss": 0.7757,
1368
+ "step": 1940
1369
+ },
1370
+ {
1371
+ "epoch": 0.7508663842895649,
1372
+ "grad_norm": 0.1915443241596222,
1373
+ "learning_rate": 1.545845926849851e-06,
1374
+ "loss": 0.757,
1375
+ "step": 1950
1376
+ },
1377
+ {
1378
+ "epoch": 0.7547169811320755,
1379
+ "grad_norm": 0.20351219177246094,
1380
+ "learning_rate": 1.5010299113841397e-06,
1381
+ "loss": 0.7844,
1382
+ "step": 1960
1383
+ },
1384
+ {
1385
+ "epoch": 0.7585675779745861,
1386
+ "grad_norm": 0.2014596164226532,
1387
+ "learning_rate": 1.4567581203207238e-06,
1388
+ "loss": 0.7724,
1389
+ "step": 1970
1390
+ },
1391
+ {
1392
+ "epoch": 0.7624181748170966,
1393
+ "grad_norm": 0.20302708446979523,
1394
+ "learning_rate": 1.413037439625593e-06,
1395
+ "loss": 0.7731,
1396
+ "step": 1980
1397
+ },
1398
+ {
1399
+ "epoch": 0.7662687716596073,
1400
+ "grad_norm": 0.20509445667266846,
1401
+ "learning_rate": 1.3698746695458847e-06,
1402
+ "loss": 0.7604,
1403
+ "step": 1990
1404
+ },
1405
+ {
1406
+ "epoch": 0.7701193685021178,
1407
+ "grad_norm": 0.18813088536262512,
1408
+ "learning_rate": 1.3272765235521745e-06,
1409
+ "loss": 0.7617,
1410
+ "step": 2000
1411
+ },
1412
+ {
1413
+ "epoch": 0.7739699653446284,
1414
+ "grad_norm": 0.18063302338123322,
1415
+ "learning_rate": 1.2852496272942877e-06,
1416
+ "loss": 0.7675,
1417
+ "step": 2010
1418
+ },
1419
+ {
1420
+ "epoch": 0.777820562187139,
1421
+ "grad_norm": 0.18530458211898804,
1422
+ "learning_rate": 1.2438005175707396e-06,
1423
+ "loss": 0.7501,
1424
+ "step": 2020
1425
+ },
1426
+ {
1427
+ "epoch": 0.7816711590296496,
1428
+ "grad_norm": 0.19236399233341217,
1429
+ "learning_rate": 1.2029356413120297e-06,
1430
+ "loss": 0.7472,
1431
+ "step": 2030
1432
+ },
1433
+ {
1434
+ "epoch": 0.7855217558721602,
1435
+ "grad_norm": 0.19169192016124725,
1436
+ "learning_rate": 1.1626613545778786e-06,
1437
+ "loss": 0.7613,
1438
+ "step": 2040
1439
+ },
1440
+ {
1441
+ "epoch": 0.7893723527146708,
1442
+ "grad_norm": 0.17831282317638397,
1443
+ "learning_rate": 1.1229839215686294e-06,
1444
+ "loss": 0.7633,
1445
+ "step": 2050
1446
+ },
1447
+ {
1448
+ "epoch": 0.7932229495571813,
1449
+ "grad_norm": 0.1741892397403717,
1450
+ "learning_rate": 1.0839095136509188e-06,
1451
+ "loss": 0.7507,
1452
+ "step": 2060
1453
+ },
1454
+ {
1455
+ "epoch": 0.797073546399692,
1456
+ "grad_norm": 0.20619124174118042,
1457
+ "learning_rate": 1.045444208397791e-06,
1458
+ "loss": 0.7676,
1459
+ "step": 2070
1460
+ },
1461
+ {
1462
+ "epoch": 0.8009241432422025,
1463
+ "grad_norm": 0.17973855137825012,
1464
+ "learning_rate": 1.007593988643402e-06,
1465
+ "loss": 0.7424,
1466
+ "step": 2080
1467
+ },
1468
+ {
1469
+ "epoch": 0.8047747400847132,
1470
+ "grad_norm": 0.18046456575393677,
1471
+ "learning_rate": 9.703647415524613e-07,
1472
+ "loss": 0.7693,
1473
+ "step": 2090
1474
+ },
1475
+ {
1476
+ "epoch": 0.8086253369272237,
1477
+ "grad_norm": 0.18851779401302338,
1478
+ "learning_rate": 9.337622577045485e-07,
1479
+ "loss": 0.7617,
1480
+ "step": 2100
1481
+ },
1482
+ {
1483
+ "epoch": 0.8124759337697343,
1484
+ "grad_norm": 0.1919928938150406,
1485
+ "learning_rate": 8.977922301934588e-07,
1486
+ "loss": 0.763,
1487
+ "step": 2110
1488
+ },
1489
+ {
1490
+ "epoch": 0.8163265306122449,
1491
+ "grad_norm": 0.2100561559200287,
1492
+ "learning_rate": 8.624602537417009e-07,
1493
+ "loss": 0.7774,
1494
+ "step": 2120
1495
+ },
1496
+ {
1497
+ "epoch": 0.8201771274547555,
1498
+ "grad_norm": 0.2023296356201172,
1499
+ "learning_rate": 8.277718238303123e-07,
1500
+ "loss": 0.7602,
1501
+ "step": 2130
1502
+ },
1503
+ {
1504
+ "epoch": 0.8240277242972661,
1505
+ "grad_norm": 0.1885136365890503,
1506
+ "learning_rate": 7.937323358440935e-07,
1507
+ "loss": 0.7619,
1508
+ "step": 2140
1509
+ },
1510
+ {
1511
+ "epoch": 0.8278783211397767,
1512
+ "grad_norm": 0.18911926448345184,
1513
+ "learning_rate": 7.603470842324223e-07,
1514
+ "loss": 0.7521,
1515
+ "step": 2150
1516
+ },
1517
+ {
1518
+ "epoch": 0.8317289179822872,
1519
+ "grad_norm": 0.18458883464336395,
1520
+ "learning_rate": 7.276212616857575e-07,
1521
+ "loss": 0.7723,
1522
+ "step": 2160
1523
+ },
1524
+ {
1525
+ "epoch": 0.8355795148247979,
1526
+ "grad_norm": 0.19339799880981445,
1527
+ "learning_rate": 6.955599583279837e-07,
1528
+ "loss": 0.7664,
1529
+ "step": 2170
1530
+ },
1531
+ {
1532
+ "epoch": 0.8394301116673084,
1533
+ "grad_norm": 0.18097367882728577,
1534
+ "learning_rate": 6.641681609246981e-07,
1535
+ "loss": 0.7609,
1536
+ "step": 2180
1537
+ },
1538
+ {
1539
+ "epoch": 0.8432807085098191,
1540
+ "grad_norm": 0.1961180418729782,
1541
+ "learning_rate": 6.334507521075711e-07,
1542
+ "loss": 0.7635,
1543
+ "step": 2190
1544
+ },
1545
+ {
1546
+ "epoch": 0.8471313053523296,
1547
+ "grad_norm": 0.19719313085079193,
1548
+ "learning_rate": 6.034125096149179e-07,
1549
+ "loss": 0.7646,
1550
+ "step": 2200
1551
+ },
1552
+ {
1553
+ "epoch": 0.8509819021948402,
1554
+ "grad_norm": 0.19258572161197662,
1555
+ "learning_rate": 5.740581055485722e-07,
1556
+ "loss": 0.7365,
1557
+ "step": 2210
1558
+ },
1559
+ {
1560
+ "epoch": 0.8548324990373508,
1561
+ "grad_norm": 0.19430400431156158,
1562
+ "learning_rate": 5.453921056471961e-07,
1563
+ "loss": 0.7689,
1564
+ "step": 2220
1565
+ },
1566
+ {
1567
+ "epoch": 0.8586830958798614,
1568
+ "grad_norm": 0.20452015101909637,
1569
+ "learning_rate": 5.174189685761288e-07,
1570
+ "loss": 0.7621,
1571
+ "step": 2230
1572
+ },
1573
+ {
1574
+ "epoch": 0.862533692722372,
1575
+ "grad_norm": 0.18170593678951263,
1576
+ "learning_rate": 4.901430452338979e-07,
1577
+ "loss": 0.7727,
1578
+ "step": 2240
1579
+ },
1580
+ {
1581
+ "epoch": 0.8663842895648826,
1582
+ "grad_norm": 0.18866808712482452,
1583
+ "learning_rate": 4.6356857807548286e-07,
1584
+ "loss": 0.7625,
1585
+ "step": 2250
1586
+ },
1587
+ {
1588
+ "epoch": 0.8702348864073931,
1589
+ "grad_norm": 0.209539994597435,
1590
+ "learning_rate": 4.376997004524541e-07,
1591
+ "loss": 0.744,
1592
+ "step": 2260
1593
+ },
1594
+ {
1595
+ "epoch": 0.8740854832499038,
1596
+ "grad_norm": 0.1837790608406067,
1597
+ "learning_rate": 4.12540435970073e-07,
1598
+ "loss": 0.7638,
1599
+ "step": 2270
1600
+ },
1601
+ {
1602
+ "epoch": 0.8779360800924143,
1603
+ "grad_norm": 0.18405376374721527,
1604
+ "learning_rate": 3.880946978614703e-07,
1605
+ "loss": 0.7667,
1606
+ "step": 2280
1607
+ },
1608
+ {
1609
+ "epoch": 0.881786676934925,
1610
+ "grad_norm": 0.18765310943126678,
1611
+ "learning_rate": 3.643662883789878e-07,
1612
+ "loss": 0.7725,
1613
+ "step": 2290
1614
+ },
1615
+ {
1616
+ "epoch": 0.8856372737774355,
1617
+ "grad_norm": 0.18067984282970428,
1618
+ "learning_rate": 3.41358898202781e-07,
1619
+ "loss": 0.7532,
1620
+ "step": 2300
1621
+ },
1622
+ {
1623
+ "epoch": 0.889487870619946,
1624
+ "grad_norm": 0.1856265664100647,
1625
+ "learning_rate": 3.190761058667741e-07,
1626
+ "loss": 0.7647,
1627
+ "step": 2310
1628
+ },
1629
+ {
1630
+ "epoch": 0.8933384674624567,
1631
+ "grad_norm": 0.1796170026063919,
1632
+ "learning_rate": 2.9752137720206463e-07,
1633
+ "loss": 0.7676,
1634
+ "step": 2320
1635
+ },
1636
+ {
1637
+ "epoch": 0.8971890643049673,
1638
+ "grad_norm": 0.20475523173809052,
1639
+ "learning_rate": 2.7669806479785067e-07,
1640
+ "loss": 0.7771,
1641
+ "step": 2330
1642
+ },
1643
+ {
1644
+ "epoch": 0.9010396611474779,
1645
+ "grad_norm": 0.18511320650577545,
1646
+ "learning_rate": 2.566094074799763e-07,
1647
+ "loss": 0.7699,
1648
+ "step": 2340
1649
+ },
1650
+ {
1651
+ "epoch": 0.9048902579899885,
1652
+ "grad_norm": 0.19402550160884857,
1653
+ "learning_rate": 2.3725852980716557e-07,
1654
+ "loss": 0.748,
1655
+ "step": 2350
1656
+ },
1657
+ {
1658
+ "epoch": 0.908740854832499,
1659
+ "grad_norm": 0.1784018874168396,
1660
+ "learning_rate": 2.1864844158503983e-07,
1661
+ "loss": 0.7633,
1662
+ "step": 2360
1663
+ },
1664
+ {
1665
+ "epoch": 0.9125914516750097,
1666
+ "grad_norm": 0.20810598134994507,
1667
+ "learning_rate": 2.007820373979702e-07,
1668
+ "loss": 0.7557,
1669
+ "step": 2370
1670
+ },
1671
+ {
1672
+ "epoch": 0.9164420485175202,
1673
+ "grad_norm": 0.18376168608665466,
1674
+ "learning_rate": 1.8366209615886532e-07,
1675
+ "loss": 0.7668,
1676
+ "step": 2380
1677
+ },
1678
+ {
1679
+ "epoch": 0.9202926453600309,
1680
+ "grad_norm": 0.1856604516506195,
1681
+ "learning_rate": 1.6729128067693613e-07,
1682
+ "loss": 0.7763,
1683
+ "step": 2390
1684
+ },
1685
+ {
1686
+ "epoch": 0.9241432422025414,
1687
+ "grad_norm": 0.20346280932426453,
1688
+ "learning_rate": 1.5167213724353426e-07,
1689
+ "loss": 0.7714,
1690
+ "step": 2400
1691
+ },
1692
+ {
1693
+ "epoch": 0.927993839045052,
1694
+ "grad_norm": 0.18048666417598724,
1695
+ "learning_rate": 1.3680709523610058e-07,
1696
+ "loss": 0.7495,
1697
+ "step": 2410
1698
+ },
1699
+ {
1700
+ "epoch": 0.9318444358875626,
1701
+ "grad_norm": 0.1862926036119461,
1702
+ "learning_rate": 1.2269846674030418e-07,
1703
+ "loss": 0.7807,
1704
+ "step": 2420
1705
+ },
1706
+ {
1707
+ "epoch": 0.9356950327300732,
1708
+ "grad_norm": 0.19702783226966858,
1709
+ "learning_rate": 1.0934844619042595e-07,
1710
+ "loss": 0.7731,
1711
+ "step": 2430
1712
+ },
1713
+ {
1714
+ "epoch": 0.9395456295725837,
1715
+ "grad_norm": 0.18773753941059113,
1716
+ "learning_rate": 9.675911002803961e-08,
1717
+ "loss": 0.7637,
1718
+ "step": 2440
1719
+ },
1720
+ {
1721
+ "epoch": 0.9433962264150944,
1722
+ "grad_norm": 0.20061342418193817,
1723
+ "learning_rate": 8.493241637904381e-08,
1724
+ "loss": 0.7533,
1725
+ "step": 2450
1726
+ },
1727
+ {
1728
+ "epoch": 0.9472468232576049,
1729
+ "grad_norm": 0.20671029388904572,
1730
+ "learning_rate": 7.387020474909689e-08,
1731
+ "loss": 0.7781,
1732
+ "step": 2460
1733
+ },
1734
+ {
1735
+ "epoch": 0.9510974201001156,
1736
+ "grad_norm": 0.19744250178337097,
1737
+ "learning_rate": 6.357419573750856e-08,
1738
+ "loss": 0.7749,
1739
+ "step": 2470
1740
+ },
1741
+ {
1742
+ "epoch": 0.9549480169426261,
1743
+ "grad_norm": 0.18123966455459595,
1744
+ "learning_rate": 5.4045990769613365e-08,
1745
+ "loss": 0.7607,
1746
+ "step": 2480
1747
+ },
1748
+ {
1749
+ "epoch": 0.9587986137851366,
1750
+ "grad_norm": 0.18869097530841827,
1751
+ "learning_rate": 4.5287071847694434e-08,
1752
+ "loss": 0.7621,
1753
+ "step": 2490
1754
+ },
1755
+ {
1756
+ "epoch": 0.9626492106276473,
1757
+ "grad_norm": 0.18491458892822266,
1758
+ "learning_rate": 3.7298801320467817e-08,
1759
+ "loss": 0.7625,
1760
+ "step": 2500
1761
+ },
1762
+ {
1763
+ "epoch": 0.9664998074701578,
1764
+ "grad_norm": 0.18301358819007874,
1765
+ "learning_rate": 3.0082421671192576e-08,
1766
+ "loss": 0.7616,
1767
+ "step": 2510
1768
+ },
1769
+ {
1770
+ "epoch": 0.9703504043126685,
1771
+ "grad_norm": 0.19205328822135925,
1772
+ "learning_rate": 2.3639055324410355e-08,
1773
+ "loss": 0.7753,
1774
+ "step": 2520
1775
+ },
1776
+ {
1777
+ "epoch": 0.974201001155179,
1778
+ "grad_norm": 0.19388574361801147,
1779
+ "learning_rate": 1.7969704471369477e-08,
1780
+ "loss": 0.757,
1781
+ "step": 2530
1782
+ },
1783
+ {
1784
+ "epoch": 0.9780515979976896,
1785
+ "grad_norm": 0.17366144061088562,
1786
+ "learning_rate": 1.3075250914142413e-08,
1787
+ "loss": 0.7565,
1788
+ "step": 2540
1789
+ },
1790
+ {
1791
+ "epoch": 0.9819021948402002,
1792
+ "grad_norm": 0.1768723577260971,
1793
+ "learning_rate": 8.956455928476049e-09,
1794
+ "loss": 0.7731,
1795
+ "step": 2550
1796
+ },
1797
+ {
1798
+ "epoch": 0.9857527916827108,
1799
+ "grad_norm": 0.1814369112253189,
1800
+ "learning_rate": 5.6139601453786275e-09,
1801
+ "loss": 0.7588,
1802
+ "step": 2560
1803
+ },
1804
+ {
1805
+ "epoch": 0.9896033885252215,
1806
+ "grad_norm": 0.18806061148643494,
1807
+ "learning_rate": 3.0482834514805602e-09,
1808
+ "loss": 0.7534,
1809
+ "step": 2570
1810
+ },
1811
+ {
1812
+ "epoch": 0.993453985367732,
1813
+ "grad_norm": 0.18207745254039764,
1814
+ "learning_rate": 1.2598249081713366e-09,
1815
+ "loss": 0.7453,
1816
+ "step": 2580
1817
+ },
1818
+ {
1819
+ "epoch": 0.9973045822102425,
1820
+ "grad_norm": 0.1982613205909729,
1821
+ "learning_rate": 2.488626895302826e-10,
1822
+ "loss": 0.7762,
1823
+ "step": 2590
1824
+ },
1825
+ {
1826
+ "epoch": 1.0,
1827
+ "step": 2597,
1828
+ "total_flos": 7.883183934450696e+18,
1829
+ "train_loss": 0.7790678708792926,
1830
+ "train_runtime": 14950.0892,
1831
+ "train_samples_per_second": 44.475,
1832
+ "train_steps_per_second": 0.174
1833
+ }
1834
+ ],
1835
+ "logging_steps": 10,
1836
+ "max_steps": 2597,
1837
+ "num_input_tokens_seen": 584317136,
1838
+ "num_train_epochs": 1,
1839
+ "save_steps": 500,
1840
+ "stateful_callbacks": {
1841
+ "TrainerControl": {
1842
+ "args": {
1843
+ "should_epoch_stop": false,
1844
+ "should_evaluate": false,
1845
+ "should_log": false,
1846
+ "should_save": true,
1847
+ "should_training_stop": true
1848
+ },
1849
+ "attributes": {}
1850
+ }
1851
+ },
1852
+ "total_flos": 7.883183934450696e+18,
1853
+ "train_batch_size": 16,
1854
+ "trial_name": null,
1855
+ "trial_params": null
1856
+ }
continuous/smollm2/pixio_vith16/finetune/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d9279b23dbde3d5d05013632c20e1a99a8cedea245ad6603c9f1383440250ffa
3
+ size 6264
continuous/smollm2/pixio_vith16/finetune/vocab.json ADDED
The diff for this file is too large to render. See raw diff
 
continuous/smollm2/pixio_vith16/pretrain/config.json ADDED
@@ -0,0 +1,70 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_faster_video": false,
3
+ "add_time_instruction": false,
4
+ "architectures": [
5
+ "LlamaForCausalLM"
6
+ ],
7
+ "attention_bias": false,
8
+ "attention_dropout": 0.0,
9
+ "bos_token_id": 1,
10
+ "dtype": "bfloat16",
11
+ "eos_token_id": 2,
12
+ "faster_token_stride": 10,
13
+ "force_sample": false,
14
+ "head_dim": 64,
15
+ "hidden_act": "silu",
16
+ "hidden_size": 2048,
17
+ "image_aspect_ratio": "square",
18
+ "image_crop_resolution": null,
19
+ "image_grid_pinpoints": null,
20
+ "image_split_resolution": null,
21
+ "initializer_range": 0.02,
22
+ "intermediate_size": 8192,
23
+ "max_position_embeddings": 8192,
24
+ "mlp_bias": false,
25
+ "mm_hidden_size": 1280,
26
+ "mm_newline_position": "grid",
27
+ "mm_patch_merge_type": "flat",
28
+ "mm_projector_lr": null,
29
+ "mm_projector_type": "mlp2x_gelu",
30
+ "mm_resampler_type": null,
31
+ "mm_spatial_pool_mode": "bilinear",
32
+ "mm_spatial_pool_stride": null,
33
+ "mm_tunable_parts": "mm_mlp_adapter",
34
+ "mm_use_im_patch_token": false,
35
+ "mm_use_im_start_end": false,
36
+ "mm_vision_select_feature": "patch",
37
+ "mm_vision_select_layer": -1,
38
+ "mm_vision_tower": "vtb_ssl:pixio",
39
+ "mm_vision_tower_lr": null,
40
+ "model_type": "llama",
41
+ "num_attention_heads": 32,
42
+ "num_hidden_layers": 24,
43
+ "num_key_value_heads": 32,
44
+ "pad_token_id": 0,
45
+ "pos_skipping_range": 4096,
46
+ "pretraining_tp": 1,
47
+ "rms_norm_eps": 1e-05,
48
+ "rope_scaling": null,
49
+ "rope_theta": 130000,
50
+ "tie_word_embeddings": true,
51
+ "tokenizer_model_max_length": 8192,
52
+ "tokenizer_padding_side": "right",
53
+ "transformers.js_config": {
54
+ "dtype": "q4",
55
+ "kv_cache_dtype": {
56
+ "fp16": "float16",
57
+ "q4f16": "float16"
58
+ },
59
+ "use_external_data_format": {
60
+ "model.onnx": true,
61
+ "model_fp16.onnx": true
62
+ }
63
+ },
64
+ "transformers_version": "4.57.6",
65
+ "use_cache": true,
66
+ "use_mm_proj": true,
67
+ "use_pos_skipping": false,
68
+ "vision_tower_pretrained": "/cache/ckpt/download/tokenizer/continuous/pixio/pixio-vith16/pixio_vith16.pth",
69
+ "vocab_size": 49152
70
+ }
continuous/smollm2/pixio_vith16/pretrain/mm_projector.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1a23bcbcd9328f9b4d167afd385c0f3c292d5ebed809a86344615c9951d101ea
3
+ size 27281464
continuous/smollm2/pixio_vith16/pretrain/trainer_state.json ADDED
@@ -0,0 +1,421 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": null,
3
+ "best_metric": null,
4
+ "best_model_checkpoint": null,
5
+ "epoch": 1.0,
6
+ "eval_steps": 500,
7
+ "global_step": 545,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "epoch": 0.01834862385321101,
14
+ "grad_norm": 0.895560622215271,
15
+ "learning_rate": 0.00032142857142857147,
16
+ "loss": 3.8808,
17
+ "step": 10
18
+ },
19
+ {
20
+ "epoch": 0.03669724770642202,
21
+ "grad_norm": 7.337493896484375,
22
+ "learning_rate": 0.0006785714285714287,
23
+ "loss": 3.0645,
24
+ "step": 20
25
+ },
26
+ {
27
+ "epoch": 0.05504587155963303,
28
+ "grad_norm": 0.1491594761610031,
29
+ "learning_rate": 0.0009999907688176173,
30
+ "loss": 2.9215,
31
+ "step": 30
32
+ },
33
+ {
34
+ "epoch": 0.07339449541284404,
35
+ "grad_norm": 0.0883152186870575,
36
+ "learning_rate": 0.0009988834393115766,
37
+ "loss": 2.8077,
38
+ "step": 40
39
+ },
40
+ {
41
+ "epoch": 0.09174311926605505,
42
+ "grad_norm": 0.14277830719947815,
43
+ "learning_rate": 0.0009959345572940772,
44
+ "loss": 2.7699,
45
+ "step": 50
46
+ },
47
+ {
48
+ "epoch": 0.11009174311926606,
49
+ "grad_norm": 0.0966167226433754,
50
+ "learning_rate": 0.0009911550081155983,
51
+ "loss": 2.722,
52
+ "step": 60
53
+ },
54
+ {
55
+ "epoch": 0.12844036697247707,
56
+ "grad_norm": 0.1326892226934433,
57
+ "learning_rate": 0.0009845624347566433,
58
+ "loss": 2.681,
59
+ "step": 70
60
+ },
61
+ {
62
+ "epoch": 0.14678899082568808,
63
+ "grad_norm": 0.14970874786376953,
64
+ "learning_rate": 0.0009761811727013547,
65
+ "loss": 2.6436,
66
+ "step": 80
67
+ },
68
+ {
69
+ "epoch": 0.1651376146788991,
70
+ "grad_norm": 0.13052873313426971,
71
+ "learning_rate": 0.0009660421601067666,
72
+ "loss": 2.6162,
73
+ "step": 90
74
+ },
75
+ {
76
+ "epoch": 0.1834862385321101,
77
+ "grad_norm": 0.162784144282341,
78
+ "learning_rate": 0.0009541828235992926,
79
+ "loss": 2.5982,
80
+ "step": 100
81
+ },
82
+ {
83
+ "epoch": 0.2018348623853211,
84
+ "grad_norm": 0.17149458825588226,
85
+ "learning_rate": 0.0009406469401200151,
86
+ "loss": 2.5704,
87
+ "step": 110
88
+ },
89
+ {
90
+ "epoch": 0.22018348623853212,
91
+ "grad_norm": 0.17476338148117065,
92
+ "learning_rate": 0.0009254844753287492,
93
+ "loss": 2.5579,
94
+ "step": 120
95
+ },
96
+ {
97
+ "epoch": 0.23853211009174313,
98
+ "grad_norm": 0.14550431072711945,
99
+ "learning_rate": 0.0009087513991633924,
100
+ "loss": 2.5345,
101
+ "step": 130
102
+ },
103
+ {
104
+ "epoch": 0.25688073394495414,
105
+ "grad_norm": 0.14943954348564148,
106
+ "learning_rate": 0.0008905094792353917,
107
+ "loss": 2.5189,
108
+ "step": 140
109
+ },
110
+ {
111
+ "epoch": 0.27522935779816515,
112
+ "grad_norm": 0.19512225687503815,
113
+ "learning_rate": 0.0008708260528239789,
114
+ "loss": 2.5173,
115
+ "step": 150
116
+ },
117
+ {
118
+ "epoch": 0.29357798165137616,
119
+ "grad_norm": 0.16780047118663788,
120
+ "learning_rate": 0.0008497737783108237,
121
+ "loss": 2.503,
122
+ "step": 160
123
+ },
124
+ {
125
+ "epoch": 0.3119266055045872,
126
+ "grad_norm": 0.12259393185377121,
127
+ "learning_rate": 0.0008274303669726426,
128
+ "loss": 2.4962,
129
+ "step": 170
130
+ },
131
+ {
132
+ "epoch": 0.3302752293577982,
133
+ "grad_norm": 0.1419321447610855,
134
+ "learning_rate": 0.0008038782961218137,
135
+ "loss": 2.481,
136
+ "step": 180
137
+ },
138
+ {
139
+ "epoch": 0.3486238532110092,
140
+ "grad_norm": 0.13919155299663544,
141
+ "learning_rate": 0.000779204504653894,
142
+ "loss": 2.4768,
143
+ "step": 190
144
+ },
145
+ {
146
+ "epoch": 0.3669724770642202,
147
+ "grad_norm": 0.12335899472236633,
148
+ "learning_rate": 0.0007535000721258791,
149
+ "loss": 2.4528,
150
+ "step": 200
151
+ },
152
+ {
153
+ "epoch": 0.3853211009174312,
154
+ "grad_norm": 0.13607460260391235,
155
+ "learning_rate": 0.00072685988254984,
156
+ "loss": 2.4535,
157
+ "step": 210
158
+ },
159
+ {
160
+ "epoch": 0.4036697247706422,
161
+ "grad_norm": 0.1339918076992035,
162
+ "learning_rate": 0.0006993822741429906,
163
+ "loss": 2.4603,
164
+ "step": 220
165
+ },
166
+ {
167
+ "epoch": 0.42201834862385323,
168
+ "grad_norm": 0.11781685054302216,
169
+ "learning_rate": 0.0006711686763270818,
170
+ "loss": 2.4523,
171
+ "step": 230
172
+ },
173
+ {
174
+ "epoch": 0.44036697247706424,
175
+ "grad_norm": 0.12308725714683533,
176
+ "learning_rate": 0.0006423232353170831,
177
+ "loss": 2.4435,
178
+ "step": 240
179
+ },
180
+ {
181
+ "epoch": 0.45871559633027525,
182
+ "grad_norm": 0.10319172590970993,
183
+ "learning_rate": 0.0006129524296812335,
184
+ "loss": 2.4325,
185
+ "step": 250
186
+ },
187
+ {
188
+ "epoch": 0.47706422018348627,
189
+ "grad_norm": 0.12422385811805725,
190
+ "learning_rate": 0.0005831646772915651,
191
+ "loss": 2.4405,
192
+ "step": 260
193
+ },
194
+ {
195
+ "epoch": 0.4954128440366973,
196
+ "grad_norm": 0.10728079825639725,
197
+ "learning_rate": 0.0005530699351157809,
198
+ "loss": 2.4196,
199
+ "step": 270
200
+ },
201
+ {
202
+ "epoch": 0.5137614678899083,
203
+ "grad_norm": 0.13285569846630096,
204
+ "learning_rate": 0.0005227792933277943,
205
+ "loss": 2.4229,
206
+ "step": 280
207
+ },
208
+ {
209
+ "epoch": 0.5321100917431193,
210
+ "grad_norm": 0.11852126568555832,
211
+ "learning_rate": 0.0004924045652352092,
212
+ "loss": 2.4076,
213
+ "step": 290
214
+ },
215
+ {
216
+ "epoch": 0.5504587155963303,
217
+ "grad_norm": 0.10877122730016708,
218
+ "learning_rate": 0.0004620578745374633,
219
+ "loss": 2.4081,
220
+ "step": 300
221
+ },
222
+ {
223
+ "epoch": 0.5688073394495413,
224
+ "grad_norm": 0.13274012506008148,
225
+ "learning_rate": 0.0004318512414382059,
226
+ "loss": 2.4159,
227
+ "step": 310
228
+ },
229
+ {
230
+ "epoch": 0.5871559633027523,
231
+ "grad_norm": 0.10091212391853333,
232
+ "learning_rate": 0.0004018961691397148,
233
+ "loss": 2.4141,
234
+ "step": 320
235
+ },
236
+ {
237
+ "epoch": 0.6055045871559633,
238
+ "grad_norm": 0.10727673768997192,
239
+ "learning_rate": 0.0003723032322457458,
240
+ "loss": 2.3946,
241
+ "step": 330
242
+ },
243
+ {
244
+ "epoch": 0.6238532110091743,
245
+ "grad_norm": 0.13893918693065643,
246
+ "learning_rate": 0.0003431816685921625,
247
+ "loss": 2.4011,
248
+ "step": 340
249
+ },
250
+ {
251
+ "epoch": 0.6422018348623854,
252
+ "grad_norm": 0.09795741736888885,
253
+ "learning_rate": 0.0003146389760120416,
254
+ "loss": 2.4012,
255
+ "step": 350
256
+ },
257
+ {
258
+ "epoch": 0.6605504587155964,
259
+ "grad_norm": 0.11778311431407928,
260
+ "learning_rate": 0.00028678051552373485,
261
+ "loss": 2.4044,
262
+ "step": 360
263
+ },
264
+ {
265
+ "epoch": 0.6788990825688074,
266
+ "grad_norm": 0.11287125200033188,
267
+ "learning_rate": 0.0002597091224066581,
268
+ "loss": 2.3952,
269
+ "step": 370
270
+ },
271
+ {
272
+ "epoch": 0.6972477064220184,
273
+ "grad_norm": 0.11531627923250198,
274
+ "learning_rate": 0.0002335247266004629,
275
+ "loss": 2.4046,
276
+ "step": 380
277
+ },
278
+ {
279
+ "epoch": 0.7155963302752294,
280
+ "grad_norm": 0.10616999119520187,
281
+ "learning_rate": 0.000208323983828828,
282
+ "loss": 2.3875,
283
+ "step": 390
284
+ },
285
+ {
286
+ "epoch": 0.7339449541284404,
287
+ "grad_norm": 0.10501743108034134,
288
+ "learning_rate": 0.0001841999188095224,
289
+ "loss": 2.3885,
290
+ "step": 400
291
+ },
292
+ {
293
+ "epoch": 0.7522935779816514,
294
+ "grad_norm": 0.1059378981590271,
295
+ "learning_rate": 0.00016124158186777676,
296
+ "loss": 2.3865,
297
+ "step": 410
298
+ },
299
+ {
300
+ "epoch": 0.7706422018348624,
301
+ "grad_norm": 0.0996842309832573,
302
+ "learning_rate": 0.0001395337202205211,
303
+ "loss": 2.3786,
304
+ "step": 420
305
+ },
306
+ {
307
+ "epoch": 0.7889908256880734,
308
+ "grad_norm": 0.10520213842391968,
309
+ "learning_rate": 0.00011915646514489292,
310
+ "loss": 2.3844,
311
+ "step": 430
312
+ },
313
+ {
314
+ "epoch": 0.8073394495412844,
315
+ "grad_norm": 0.11202705651521683,
316
+ "learning_rate": 0.00010018503618578818,
317
+ "loss": 2.3889,
318
+ "step": 440
319
+ },
320
+ {
321
+ "epoch": 0.8256880733944955,
322
+ "grad_norm": 0.10071947425603867,
323
+ "learning_rate": 8.268946349432583e-05,
324
+ "loss": 2.3865,
325
+ "step": 450
326
+ },
327
+ {
328
+ "epoch": 0.8440366972477065,
329
+ "grad_norm": 0.10132839530706406,
330
+ "learning_rate": 6.673432932217117e-05,
331
+ "loss": 2.3753,
332
+ "step": 460
333
+ },
334
+ {
335
+ "epoch": 0.8623853211009175,
336
+ "grad_norm": 0.0948595181107521,
337
+ "learning_rate": 5.2378529625954684e-05,
338
+ "loss": 2.3709,
339
+ "step": 470
340
+ },
341
+ {
342
+ "epoch": 0.8807339449541285,
343
+ "grad_norm": 0.1020788922905922,
344
+ "learning_rate": 3.9675056661785556e-05,
345
+ "loss": 2.3738,
346
+ "step": 480
347
+ },
348
+ {
349
+ "epoch": 0.8990825688073395,
350
+ "grad_norm": 0.08950626850128174,
351
+ "learning_rate": 2.8670803372379538e-05,
352
+ "loss": 2.3787,
353
+ "step": 490
354
+ },
355
+ {
356
+ "epoch": 0.9174311926605505,
357
+ "grad_norm": 0.09264165163040161,
358
+ "learning_rate": 1.9406390288876586e-05,
359
+ "loss": 2.3836,
360
+ "step": 500
361
+ },
362
+ {
363
+ "epoch": 0.9357798165137615,
364
+ "grad_norm": 0.09504973143339157,
365
+ "learning_rate": 1.191601558631461e-05,
366
+ "loss": 2.3735,
367
+ "step": 510
368
+ },
369
+ {
370
+ "epoch": 0.9541284403669725,
371
+ "grad_norm": 0.09349100291728973,
372
+ "learning_rate": 6.2273288462559305e-06,
373
+ "loss": 2.3691,
374
+ "step": 520
375
+ },
376
+ {
377
+ "epoch": 0.9724770642201835,
378
+ "grad_norm": 0.09255944937467575,
379
+ "learning_rate": 2.361328992552314e-06,
380
+ "loss": 2.3698,
381
+ "step": 530
382
+ },
383
+ {
384
+ "epoch": 0.9908256880733946,
385
+ "grad_norm": 0.09925083816051483,
386
+ "learning_rate": 3.322867770044202e-07,
387
+ "loss": 2.3738,
388
+ "step": 540
389
+ },
390
+ {
391
+ "epoch": 1.0,
392
+ "step": 545,
393
+ "total_flos": 4.675830323127255e+17,
394
+ "train_loss": 2.507555713128606,
395
+ "train_runtime": 1724.0857,
396
+ "train_samples_per_second": 323.724,
397
+ "train_steps_per_second": 0.316
398
+ }
399
+ ],
400
+ "logging_steps": 10,
401
+ "max_steps": 545,
402
+ "num_input_tokens_seen": 34658176,
403
+ "num_train_epochs": 1,
404
+ "save_steps": 500,
405
+ "stateful_callbacks": {
406
+ "TrainerControl": {
407
+ "args": {
408
+ "should_epoch_stop": false,
409
+ "should_evaluate": false,
410
+ "should_log": false,
411
+ "should_save": false,
412
+ "should_training_stop": false
413
+ },
414
+ "attributes": {}
415
+ }
416
+ },
417
+ "total_flos": 4.675830323127255e+17,
418
+ "train_batch_size": 64,
419
+ "trial_name": null,
420
+ "trial_params": null
421
+ }
continuous/smollm2/pixio_vitl16/finetune/chat_template.jinja ADDED
@@ -0,0 +1,6 @@
 
 
 
 
 
 
 
1
+ {% for message in messages %}{% if loop.first and messages[0]['role'] != 'system' %}{{ '<|im_start|>system
2
+ You are a helpful AI assistant named SmolLM, trained by Hugging Face<|im_end|>
3
+ ' }}{% endif %}{{'<|im_start|>' + message['role'] + '
4
+ ' + message['content'] + '<|im_end|>' + '
5
+ '}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant
6
+ ' }}{% endif %}
continuous/smollm2/pixio_vitl16/finetune/config.json ADDED
@@ -0,0 +1,70 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_faster_video": false,
3
+ "add_time_instruction": false,
4
+ "architectures": [
5
+ "LlavaLlamaForCausalLM"
6
+ ],
7
+ "attention_bias": false,
8
+ "attention_dropout": 0.0,
9
+ "bos_token_id": 1,
10
+ "dtype": "bfloat16",
11
+ "eos_token_id": 2,
12
+ "faster_token_stride": 10,
13
+ "force_sample": false,
14
+ "head_dim": 64,
15
+ "hidden_act": "silu",
16
+ "hidden_size": 2048,
17
+ "image_aspect_ratio": "square",
18
+ "image_crop_resolution": null,
19
+ "image_grid_pinpoints": null,
20
+ "image_split_resolution": null,
21
+ "initializer_range": 0.02,
22
+ "intermediate_size": 8192,
23
+ "max_position_embeddings": 8192,
24
+ "mlp_bias": false,
25
+ "mm_hidden_size": 1024,
26
+ "mm_newline_position": "grid",
27
+ "mm_patch_merge_type": "flat",
28
+ "mm_projector_lr": 0.0001,
29
+ "mm_projector_type": "mlp2x_gelu",
30
+ "mm_resampler_type": null,
31
+ "mm_spatial_pool_mode": "bilinear",
32
+ "mm_spatial_pool_stride": null,
33
+ "mm_tunable_parts": "mm_mlp_adapter,mm_language_model",
34
+ "mm_use_im_patch_token": false,
35
+ "mm_use_im_start_end": false,
36
+ "mm_vision_select_feature": "patch",
37
+ "mm_vision_select_layer": -1,
38
+ "mm_vision_tower": "vtb_ssl:pixio",
39
+ "mm_vision_tower_lr": null,
40
+ "model_type": "llama",
41
+ "num_attention_heads": 32,
42
+ "num_hidden_layers": 24,
43
+ "num_key_value_heads": 32,
44
+ "pad_token_id": 0,
45
+ "pos_skipping_range": 4096,
46
+ "pretraining_tp": 1,
47
+ "rms_norm_eps": 1e-05,
48
+ "rope_scaling": null,
49
+ "rope_theta": 130000,
50
+ "tie_word_embeddings": true,
51
+ "tokenizer_model_max_length": 8192,
52
+ "tokenizer_padding_side": "right",
53
+ "transformers.js_config": {
54
+ "dtype": "q4",
55
+ "kv_cache_dtype": {
56
+ "fp16": "float16",
57
+ "q4f16": "float16"
58
+ },
59
+ "use_external_data_format": {
60
+ "model.onnx": true,
61
+ "model_fp16.onnx": true
62
+ }
63
+ },
64
+ "transformers_version": "4.57.6",
65
+ "use_cache": true,
66
+ "use_mm_proj": true,
67
+ "use_pos_skipping": false,
68
+ "vision_tower_pretrained": "/cache/ckpt/download/tokenizer/continuous/pixio/pixio-vitl16/pixio_vitl16.pth",
69
+ "vocab_size": 49152
70
+ }
continuous/smollm2/pixio_vitl16/finetune/generation_config.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_from_model_config": true,
3
+ "bos_token_id": 1,
4
+ "eos_token_id": [
5
+ 2
6
+ ],
7
+ "pad_token_id": 0,
8
+ "transformers_version": "4.57.6"
9
+ }
continuous/smollm2/pixio_vitl16/finetune/merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
continuous/smollm2/pixio_vitl16/finetune/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c4fe53bef4c5db949be3e5a9eb359adb0a2623d0ea2250d19da02b75bc2ffed5
3
+ size 4256080272
continuous/smollm2/pixio_vitl16/finetune/special_tokens_map.json ADDED
@@ -0,0 +1,28 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "additional_special_tokens": [
3
+ "<|im_start|>",
4
+ "<|im_end|>"
5
+ ],
6
+ "bos_token": {
7
+ "content": "<|im_start|>",
8
+ "lstrip": false,
9
+ "normalized": false,
10
+ "rstrip": false,
11
+ "single_word": false
12
+ },
13
+ "eos_token": {
14
+ "content": "<|im_end|>",
15
+ "lstrip": false,
16
+ "normalized": false,
17
+ "rstrip": false,
18
+ "single_word": false
19
+ },
20
+ "pad_token": "<|endoftext|>",
21
+ "unk_token": {
22
+ "content": "<|endoftext|>",
23
+ "lstrip": false,
24
+ "normalized": false,
25
+ "rstrip": false,
26
+ "single_word": false
27
+ }
28
+ }
continuous/smollm2/pixio_vitl16/finetune/tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
continuous/smollm2/pixio_vitl16/finetune/tokenizer_config.json ADDED
@@ -0,0 +1,155 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_prefix_space": false,
3
+ "added_tokens_decoder": {
4
+ "0": {
5
+ "content": "<|endoftext|>",
6
+ "lstrip": false,
7
+ "normalized": false,
8
+ "rstrip": false,
9
+ "single_word": false,
10
+ "special": true
11
+ },
12
+ "1": {
13
+ "content": "<|im_start|>",
14
+ "lstrip": false,
15
+ "normalized": false,
16
+ "rstrip": false,
17
+ "single_word": false,
18
+ "special": true
19
+ },
20
+ "2": {
21
+ "content": "<|im_end|>",
22
+ "lstrip": false,
23
+ "normalized": false,
24
+ "rstrip": false,
25
+ "single_word": false,
26
+ "special": true
27
+ },
28
+ "3": {
29
+ "content": "<repo_name>",
30
+ "lstrip": false,
31
+ "normalized": false,
32
+ "rstrip": false,
33
+ "single_word": false,
34
+ "special": true
35
+ },
36
+ "4": {
37
+ "content": "<reponame>",
38
+ "lstrip": false,
39
+ "normalized": false,
40
+ "rstrip": false,
41
+ "single_word": false,
42
+ "special": true
43
+ },
44
+ "5": {
45
+ "content": "<file_sep>",
46
+ "lstrip": false,
47
+ "normalized": false,
48
+ "rstrip": false,
49
+ "single_word": false,
50
+ "special": true
51
+ },
52
+ "6": {
53
+ "content": "<filename>",
54
+ "lstrip": false,
55
+ "normalized": false,
56
+ "rstrip": false,
57
+ "single_word": false,
58
+ "special": true
59
+ },
60
+ "7": {
61
+ "content": "<gh_stars>",
62
+ "lstrip": false,
63
+ "normalized": false,
64
+ "rstrip": false,
65
+ "single_word": false,
66
+ "special": true
67
+ },
68
+ "8": {
69
+ "content": "<issue_start>",
70
+ "lstrip": false,
71
+ "normalized": false,
72
+ "rstrip": false,
73
+ "single_word": false,
74
+ "special": true
75
+ },
76
+ "9": {
77
+ "content": "<issue_comment>",
78
+ "lstrip": false,
79
+ "normalized": false,
80
+ "rstrip": false,
81
+ "single_word": false,
82
+ "special": true
83
+ },
84
+ "10": {
85
+ "content": "<issue_closed>",
86
+ "lstrip": false,
87
+ "normalized": false,
88
+ "rstrip": false,
89
+ "single_word": false,
90
+ "special": true
91
+ },
92
+ "11": {
93
+ "content": "<jupyter_start>",
94
+ "lstrip": false,
95
+ "normalized": false,
96
+ "rstrip": false,
97
+ "single_word": false,
98
+ "special": true
99
+ },
100
+ "12": {
101
+ "content": "<jupyter_text>",
102
+ "lstrip": false,
103
+ "normalized": false,
104
+ "rstrip": false,
105
+ "single_word": false,
106
+ "special": true
107
+ },
108
+ "13": {
109
+ "content": "<jupyter_code>",
110
+ "lstrip": false,
111
+ "normalized": false,
112
+ "rstrip": false,
113
+ "single_word": false,
114
+ "special": true
115
+ },
116
+ "14": {
117
+ "content": "<jupyter_output>",
118
+ "lstrip": false,
119
+ "normalized": false,
120
+ "rstrip": false,
121
+ "single_word": false,
122
+ "special": true
123
+ },
124
+ "15": {
125
+ "content": "<jupyter_script>",
126
+ "lstrip": false,
127
+ "normalized": false,
128
+ "rstrip": false,
129
+ "single_word": false,
130
+ "special": true
131
+ },
132
+ "16": {
133
+ "content": "<empty_output>",
134
+ "lstrip": false,
135
+ "normalized": false,
136
+ "rstrip": false,
137
+ "single_word": false,
138
+ "special": true
139
+ }
140
+ },
141
+ "additional_special_tokens": [
142
+ "<|im_start|>",
143
+ "<|im_end|>"
144
+ ],
145
+ "bos_token": "<|im_start|>",
146
+ "clean_up_tokenization_spaces": false,
147
+ "eos_token": "<|im_end|>",
148
+ "extra_special_tokens": {},
149
+ "model_max_length": 8192,
150
+ "pad_token": "<|endoftext|>",
151
+ "padding_side": "right",
152
+ "tokenizer_class": "GPT2Tokenizer",
153
+ "unk_token": "<|endoftext|>",
154
+ "vocab_size": 49152
155
+ }
continuous/smollm2/pixio_vitl16/finetune/trainer_state.json ADDED
@@ -0,0 +1,1856 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": null,
3
+ "best_metric": null,
4
+ "best_model_checkpoint": null,
5
+ "epoch": 1.0,
6
+ "eval_steps": 500,
7
+ "global_step": 2597,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "epoch": 0.003850596842510589,
14
+ "grad_norm": 2.950183629989624,
15
+ "learning_rate": 1.153846153846154e-06,
16
+ "loss": 1.228,
17
+ "step": 10
18
+ },
19
+ {
20
+ "epoch": 0.007701193685021178,
21
+ "grad_norm": 2.073546886444092,
22
+ "learning_rate": 2.435897435897436e-06,
23
+ "loss": 1.1217,
24
+ "step": 20
25
+ },
26
+ {
27
+ "epoch": 0.011551790527531768,
28
+ "grad_norm": 2.033367872238159,
29
+ "learning_rate": 3.7179487179487184e-06,
30
+ "loss": 1.019,
31
+ "step": 30
32
+ },
33
+ {
34
+ "epoch": 0.015402387370042356,
35
+ "grad_norm": 1.3569903373718262,
36
+ "learning_rate": 5e-06,
37
+ "loss": 0.9761,
38
+ "step": 40
39
+ },
40
+ {
41
+ "epoch": 0.019252984212552945,
42
+ "grad_norm": 1.2904828786849976,
43
+ "learning_rate": 6.282051282051282e-06,
44
+ "loss": 0.9635,
45
+ "step": 50
46
+ },
47
+ {
48
+ "epoch": 0.023103581055063535,
49
+ "grad_norm": 0.308956116437912,
50
+ "learning_rate": 7.564102564102564e-06,
51
+ "loss": 0.8947,
52
+ "step": 60
53
+ },
54
+ {
55
+ "epoch": 0.026954177897574125,
56
+ "grad_norm": 0.2484596073627472,
57
+ "learning_rate": 8.846153846153847e-06,
58
+ "loss": 0.8488,
59
+ "step": 70
60
+ },
61
+ {
62
+ "epoch": 0.030804774740084712,
63
+ "grad_norm": 0.25678616762161255,
64
+ "learning_rate": 9.999996111488723e-06,
65
+ "loss": 0.8624,
66
+ "step": 80
67
+ },
68
+ {
69
+ "epoch": 0.0346553715825953,
70
+ "grad_norm": 0.2536308169364929,
71
+ "learning_rate": 9.999529497453782e-06,
72
+ "loss": 0.8489,
73
+ "step": 90
74
+ },
75
+ {
76
+ "epoch": 0.03850596842510589,
77
+ "grad_norm": 0.22863975167274475,
78
+ "learning_rate": 9.998285264324193e-06,
79
+ "loss": 0.8193,
80
+ "step": 100
81
+ },
82
+ {
83
+ "epoch": 0.04235656526761648,
84
+ "grad_norm": 0.24438579380512238,
85
+ "learning_rate": 9.996263605626052e-06,
86
+ "loss": 0.8087,
87
+ "step": 110
88
+ },
89
+ {
90
+ "epoch": 0.04620716211012707,
91
+ "grad_norm": 0.23478102684020996,
92
+ "learning_rate": 9.99346483580503e-06,
93
+ "loss": 0.8287,
94
+ "step": 120
95
+ },
96
+ {
97
+ "epoch": 0.05005775895263766,
98
+ "grad_norm": 0.21935783326625824,
99
+ "learning_rate": 9.989889390177467e-06,
100
+ "loss": 0.8062,
101
+ "step": 130
102
+ },
103
+ {
104
+ "epoch": 0.05390835579514825,
105
+ "grad_norm": 0.24432030320167542,
106
+ "learning_rate": 9.985537824862647e-06,
107
+ "loss": 0.819,
108
+ "step": 140
109
+ },
110
+ {
111
+ "epoch": 0.05775895263765884,
112
+ "grad_norm": 0.251745343208313,
113
+ "learning_rate": 9.980410816696317e-06,
114
+ "loss": 0.7963,
115
+ "step": 150
116
+ },
117
+ {
118
+ "epoch": 0.061609549480169425,
119
+ "grad_norm": 0.22568319737911224,
120
+ "learning_rate": 9.97450916312541e-06,
121
+ "loss": 0.8016,
122
+ "step": 160
123
+ },
124
+ {
125
+ "epoch": 0.06546014632268002,
126
+ "grad_norm": 0.21835532784461975,
127
+ "learning_rate": 9.967833782084004e-06,
128
+ "loss": 0.8015,
129
+ "step": 170
130
+ },
131
+ {
132
+ "epoch": 0.0693107431651906,
133
+ "grad_norm": 0.21452687680721283,
134
+ "learning_rate": 9.960385711850554e-06,
135
+ "loss": 0.8353,
136
+ "step": 180
137
+ },
138
+ {
139
+ "epoch": 0.07316134000770119,
140
+ "grad_norm": 0.22981467843055725,
141
+ "learning_rate": 9.952166110886394e-06,
142
+ "loss": 0.8203,
143
+ "step": 190
144
+ },
145
+ {
146
+ "epoch": 0.07701193685021178,
147
+ "grad_norm": 0.21703475713729858,
148
+ "learning_rate": 9.943176257655567e-06,
149
+ "loss": 0.8201,
150
+ "step": 200
151
+ },
152
+ {
153
+ "epoch": 0.08086253369272237,
154
+ "grad_norm": 0.22251386940479279,
155
+ "learning_rate": 9.933417550425952e-06,
156
+ "loss": 0.8052,
157
+ "step": 210
158
+ },
159
+ {
160
+ "epoch": 0.08471313053523297,
161
+ "grad_norm": 0.21851761639118195,
162
+ "learning_rate": 9.9228915070518e-06,
163
+ "loss": 0.798,
164
+ "step": 220
165
+ },
166
+ {
167
+ "epoch": 0.08856372737774355,
168
+ "grad_norm": 0.20332932472229004,
169
+ "learning_rate": 9.911599764737632e-06,
170
+ "loss": 0.7929,
171
+ "step": 230
172
+ },
173
+ {
174
+ "epoch": 0.09241432422025414,
175
+ "grad_norm": 0.21085600554943085,
176
+ "learning_rate": 9.899544079783606e-06,
177
+ "loss": 0.7869,
178
+ "step": 240
179
+ },
180
+ {
181
+ "epoch": 0.09626492106276473,
182
+ "grad_norm": 0.2162182480096817,
183
+ "learning_rate": 9.886726327312338e-06,
184
+ "loss": 0.8034,
185
+ "step": 250
186
+ },
187
+ {
188
+ "epoch": 0.10011551790527531,
189
+ "grad_norm": 0.20604537427425385,
190
+ "learning_rate": 9.87314850097724e-06,
191
+ "loss": 0.8019,
192
+ "step": 260
193
+ },
194
+ {
195
+ "epoch": 0.1039661147477859,
196
+ "grad_norm": 0.2247743308544159,
197
+ "learning_rate": 9.858812712652452e-06,
198
+ "loss": 0.785,
199
+ "step": 270
200
+ },
201
+ {
202
+ "epoch": 0.1078167115902965,
203
+ "grad_norm": 0.2121828943490982,
204
+ "learning_rate": 9.843721192104341e-06,
205
+ "loss": 0.7832,
206
+ "step": 280
207
+ },
208
+ {
209
+ "epoch": 0.11166730843280709,
210
+ "grad_norm": 0.22019900381565094,
211
+ "learning_rate": 9.827876286644698e-06,
212
+ "loss": 0.8144,
213
+ "step": 290
214
+ },
215
+ {
216
+ "epoch": 0.11551790527531768,
217
+ "grad_norm": 0.191603422164917,
218
+ "learning_rate": 9.811280460765643e-06,
219
+ "loss": 0.7722,
220
+ "step": 300
221
+ },
222
+ {
223
+ "epoch": 0.11936850211782826,
224
+ "grad_norm": 0.21550719439983368,
225
+ "learning_rate": 9.793936295756292e-06,
226
+ "loss": 0.7775,
227
+ "step": 310
228
+ },
229
+ {
230
+ "epoch": 0.12321909896033885,
231
+ "grad_norm": 0.2135317325592041,
232
+ "learning_rate": 9.775846489301279e-06,
233
+ "loss": 0.785,
234
+ "step": 320
235
+ },
236
+ {
237
+ "epoch": 0.12706969580284944,
238
+ "grad_norm": 0.2065626084804535,
239
+ "learning_rate": 9.757013855061157e-06,
240
+ "loss": 0.7888,
241
+ "step": 330
242
+ },
243
+ {
244
+ "epoch": 0.13092029264536004,
245
+ "grad_norm": 0.23095820844173431,
246
+ "learning_rate": 9.737441322234758e-06,
247
+ "loss": 0.7915,
248
+ "step": 340
249
+ },
250
+ {
251
+ "epoch": 0.1347708894878706,
252
+ "grad_norm": 0.21381404995918274,
253
+ "learning_rate": 9.717131935103605e-06,
254
+ "loss": 0.7969,
255
+ "step": 350
256
+ },
257
+ {
258
+ "epoch": 0.1386214863303812,
259
+ "grad_norm": 0.20355890691280365,
260
+ "learning_rate": 9.696088852558398e-06,
261
+ "loss": 0.7773,
262
+ "step": 360
263
+ },
264
+ {
265
+ "epoch": 0.1424720831728918,
266
+ "grad_norm": 0.26420196890830994,
267
+ "learning_rate": 9.674315347607686e-06,
268
+ "loss": 0.8052,
269
+ "step": 370
270
+ },
271
+ {
272
+ "epoch": 0.14632268001540238,
273
+ "grad_norm": 0.196041539311409,
274
+ "learning_rate": 9.651814806868796e-06,
275
+ "loss": 0.7697,
276
+ "step": 380
277
+ },
278
+ {
279
+ "epoch": 0.15017327685791299,
280
+ "grad_norm": 0.22165405750274658,
281
+ "learning_rate": 9.62859073004107e-06,
282
+ "loss": 0.7744,
283
+ "step": 390
284
+ },
285
+ {
286
+ "epoch": 0.15402387370042356,
287
+ "grad_norm": 0.19854789972305298,
288
+ "learning_rate": 9.604646729361547e-06,
289
+ "loss": 0.7829,
290
+ "step": 400
291
+ },
292
+ {
293
+ "epoch": 0.15787447054293416,
294
+ "grad_norm": 0.24964477121829987,
295
+ "learning_rate": 9.579986529043099e-06,
296
+ "loss": 0.7801,
297
+ "step": 410
298
+ },
299
+ {
300
+ "epoch": 0.16172506738544473,
301
+ "grad_norm": 0.19736284017562866,
302
+ "learning_rate": 9.554613964695189e-06,
303
+ "loss": 0.7923,
304
+ "step": 420
305
+ },
306
+ {
307
+ "epoch": 0.16557566422795533,
308
+ "grad_norm": 0.2045443058013916,
309
+ "learning_rate": 9.528532982727281e-06,
310
+ "loss": 0.7725,
311
+ "step": 430
312
+ },
313
+ {
314
+ "epoch": 0.16942626107046593,
315
+ "grad_norm": 0.1930656135082245,
316
+ "learning_rate": 9.501747639735018e-06,
317
+ "loss": 0.7816,
318
+ "step": 440
319
+ },
320
+ {
321
+ "epoch": 0.1732768579129765,
322
+ "grad_norm": 0.21413645148277283,
323
+ "learning_rate": 9.474262101869272e-06,
324
+ "loss": 0.7659,
325
+ "step": 450
326
+ },
327
+ {
328
+ "epoch": 0.1771274547554871,
329
+ "grad_norm": 0.2103050947189331,
330
+ "learning_rate": 9.446080644188141e-06,
331
+ "loss": 0.7742,
332
+ "step": 460
333
+ },
334
+ {
335
+ "epoch": 0.18097805159799768,
336
+ "grad_norm": 0.20561808347702026,
337
+ "learning_rate": 9.417207649992017e-06,
338
+ "loss": 0.7781,
339
+ "step": 470
340
+ },
341
+ {
342
+ "epoch": 0.18482864844050828,
343
+ "grad_norm": 0.21716204285621643,
344
+ "learning_rate": 9.387647610141816e-06,
345
+ "loss": 0.7777,
346
+ "step": 480
347
+ },
348
+ {
349
+ "epoch": 0.18867924528301888,
350
+ "grad_norm": 0.1837717890739441,
351
+ "learning_rate": 9.35740512236047e-06,
352
+ "loss": 0.7711,
353
+ "step": 490
354
+ },
355
+ {
356
+ "epoch": 0.19252984212552945,
357
+ "grad_norm": 0.18623299896717072,
358
+ "learning_rate": 9.326484890517809e-06,
359
+ "loss": 0.7733,
360
+ "step": 500
361
+ },
362
+ {
363
+ "epoch": 0.19638043896804006,
364
+ "grad_norm": 0.22311580181121826,
365
+ "learning_rate": 9.294891723898926e-06,
366
+ "loss": 0.7642,
367
+ "step": 510
368
+ },
369
+ {
370
+ "epoch": 0.20023103581055063,
371
+ "grad_norm": 0.19481050968170166,
372
+ "learning_rate": 9.262630536456153e-06,
373
+ "loss": 0.7875,
374
+ "step": 520
375
+ },
376
+ {
377
+ "epoch": 0.20408163265306123,
378
+ "grad_norm": 0.209445983171463,
379
+ "learning_rate": 9.229706346044749e-06,
380
+ "loss": 0.7713,
381
+ "step": 530
382
+ },
383
+ {
384
+ "epoch": 0.2079322294955718,
385
+ "grad_norm": 0.21638400852680206,
386
+ "learning_rate": 9.196124273642422e-06,
387
+ "loss": 0.7801,
388
+ "step": 540
389
+ },
390
+ {
391
+ "epoch": 0.2117828263380824,
392
+ "grad_norm": 0.19811443984508514,
393
+ "learning_rate": 9.161889542552842e-06,
394
+ "loss": 0.7845,
395
+ "step": 550
396
+ },
397
+ {
398
+ "epoch": 0.215633423180593,
399
+ "grad_norm": 0.21855947375297546,
400
+ "learning_rate": 9.127007477593193e-06,
401
+ "loss": 0.789,
402
+ "step": 560
403
+ },
404
+ {
405
+ "epoch": 0.21948402002310358,
406
+ "grad_norm": 0.2088356763124466,
407
+ "learning_rate": 9.091483504265974e-06,
408
+ "loss": 0.8053,
409
+ "step": 570
410
+ },
411
+ {
412
+ "epoch": 0.22333461686561418,
413
+ "grad_norm": 0.2097124308347702,
414
+ "learning_rate": 9.055323147915116e-06,
415
+ "loss": 0.7702,
416
+ "step": 580
417
+ },
418
+ {
419
+ "epoch": 0.22718521370812475,
420
+ "grad_norm": 0.21319016814231873,
421
+ "learning_rate": 9.018532032866585e-06,
422
+ "loss": 0.7878,
423
+ "step": 590
424
+ },
425
+ {
426
+ "epoch": 0.23103581055063535,
427
+ "grad_norm": 0.1840520054101944,
428
+ "learning_rate": 8.981115881553579e-06,
429
+ "loss": 0.7837,
430
+ "step": 600
431
+ },
432
+ {
433
+ "epoch": 0.23488640739314592,
434
+ "grad_norm": 0.21350757777690887,
435
+ "learning_rate": 8.943080513626476e-06,
436
+ "loss": 0.802,
437
+ "step": 610
438
+ },
439
+ {
440
+ "epoch": 0.23873700423565652,
441
+ "grad_norm": 0.1791541427373886,
442
+ "learning_rate": 8.904431845047641e-06,
443
+ "loss": 0.7803,
444
+ "step": 620
445
+ },
446
+ {
447
+ "epoch": 0.24258760107816713,
448
+ "grad_norm": 0.2000044286251068,
449
+ "learning_rate": 8.86517588717128e-06,
450
+ "loss": 0.7915,
451
+ "step": 630
452
+ },
453
+ {
454
+ "epoch": 0.2464381979206777,
455
+ "grad_norm": 0.21229909360408783,
456
+ "learning_rate": 8.82531874580844e-06,
457
+ "loss": 0.7888,
458
+ "step": 640
459
+ },
460
+ {
461
+ "epoch": 0.25028879476318827,
462
+ "grad_norm": 0.1811893880367279,
463
+ "learning_rate": 8.784866620277314e-06,
464
+ "loss": 0.7492,
465
+ "step": 650
466
+ },
467
+ {
468
+ "epoch": 0.25413939160569887,
469
+ "grad_norm": 0.2151295244693756,
470
+ "learning_rate": 8.743825802439018e-06,
471
+ "loss": 0.7785,
472
+ "step": 660
473
+ },
474
+ {
475
+ "epoch": 0.2579899884482095,
476
+ "grad_norm": 0.19492566585540771,
477
+ "learning_rate": 8.702202675718956e-06,
478
+ "loss": 0.7847,
479
+ "step": 670
480
+ },
481
+ {
482
+ "epoch": 0.2618405852907201,
483
+ "grad_norm": 0.1904447376728058,
484
+ "learning_rate": 8.660003714113959e-06,
485
+ "loss": 0.767,
486
+ "step": 680
487
+ },
488
+ {
489
+ "epoch": 0.2656911821332307,
490
+ "grad_norm": 0.19777773320674896,
491
+ "learning_rate": 8.617235481185323e-06,
492
+ "loss": 0.7784,
493
+ "step": 690
494
+ },
495
+ {
496
+ "epoch": 0.2695417789757412,
497
+ "grad_norm": 0.21427255868911743,
498
+ "learning_rate": 8.573904629037931e-06,
499
+ "loss": 0.7892,
500
+ "step": 700
501
+ },
502
+ {
503
+ "epoch": 0.2733923758182518,
504
+ "grad_norm": 0.1822693645954132,
505
+ "learning_rate": 8.530017897285585e-06,
506
+ "loss": 0.7698,
507
+ "step": 710
508
+ },
509
+ {
510
+ "epoch": 0.2772429726607624,
511
+ "grad_norm": 0.18168769776821136,
512
+ "learning_rate": 8.485582112002746e-06,
513
+ "loss": 0.7704,
514
+ "step": 720
515
+ },
516
+ {
517
+ "epoch": 0.281093569503273,
518
+ "grad_norm": 0.20368093252182007,
519
+ "learning_rate": 8.440604184662811e-06,
520
+ "loss": 0.7823,
521
+ "step": 730
522
+ },
523
+ {
524
+ "epoch": 0.2849441663457836,
525
+ "grad_norm": 0.20915140211582184,
526
+ "learning_rate": 8.395091111063118e-06,
527
+ "loss": 0.7672,
528
+ "step": 740
529
+ },
530
+ {
531
+ "epoch": 0.28879476318829417,
532
+ "grad_norm": 0.18048381805419922,
533
+ "learning_rate": 8.349049970236822e-06,
534
+ "loss": 0.7635,
535
+ "step": 750
536
+ },
537
+ {
538
+ "epoch": 0.29264536003080477,
539
+ "grad_norm": 0.19537705183029175,
540
+ "learning_rate": 8.302487923351842e-06,
541
+ "loss": 0.7607,
542
+ "step": 760
543
+ },
544
+ {
545
+ "epoch": 0.29649595687331537,
546
+ "grad_norm": 0.1961241066455841,
547
+ "learning_rate": 8.255412212597021e-06,
548
+ "loss": 0.7794,
549
+ "step": 770
550
+ },
551
+ {
552
+ "epoch": 0.30034655371582597,
553
+ "grad_norm": 0.2051243633031845,
554
+ "learning_rate": 8.207830160055688e-06,
555
+ "loss": 0.7739,
556
+ "step": 780
557
+ },
558
+ {
559
+ "epoch": 0.3041971505583365,
560
+ "grad_norm": 0.19493359327316284,
561
+ "learning_rate": 8.159749166566786e-06,
562
+ "loss": 0.7588,
563
+ "step": 790
564
+ },
565
+ {
566
+ "epoch": 0.3080477474008471,
567
+ "grad_norm": 0.21873469650745392,
568
+ "learning_rate": 8.11117671057377e-06,
569
+ "loss": 0.7804,
570
+ "step": 800
571
+ },
572
+ {
573
+ "epoch": 0.3118983442433577,
574
+ "grad_norm": 0.18743138015270233,
575
+ "learning_rate": 8.062120346961404e-06,
576
+ "loss": 0.7792,
577
+ "step": 810
578
+ },
579
+ {
580
+ "epoch": 0.3157489410858683,
581
+ "grad_norm": 0.18282973766326904,
582
+ "learning_rate": 8.012587705880705e-06,
583
+ "loss": 0.7755,
584
+ "step": 820
585
+ },
586
+ {
587
+ "epoch": 0.3195995379283789,
588
+ "grad_norm": 0.1958780437707901,
589
+ "learning_rate": 7.962586491562146e-06,
590
+ "loss": 0.7627,
591
+ "step": 830
592
+ },
593
+ {
594
+ "epoch": 0.32345013477088946,
595
+ "grad_norm": 0.19187752902507782,
596
+ "learning_rate": 7.912124481117357e-06,
597
+ "loss": 0.7616,
598
+ "step": 840
599
+ },
600
+ {
601
+ "epoch": 0.32730073161340006,
602
+ "grad_norm": 0.1885552853345871,
603
+ "learning_rate": 7.861209523329494e-06,
604
+ "loss": 0.7711,
605
+ "step": 850
606
+ },
607
+ {
608
+ "epoch": 0.33115132845591067,
609
+ "grad_norm": 0.19519418478012085,
610
+ "learning_rate": 7.809849537432432e-06,
611
+ "loss": 0.7646,
612
+ "step": 860
613
+ },
614
+ {
615
+ "epoch": 0.33500192529842127,
616
+ "grad_norm": 0.18746283650398254,
617
+ "learning_rate": 7.758052511879035e-06,
618
+ "loss": 0.7666,
619
+ "step": 870
620
+ },
621
+ {
622
+ "epoch": 0.33885252214093187,
623
+ "grad_norm": 0.20703575015068054,
624
+ "learning_rate": 7.705826503098642e-06,
625
+ "loss": 0.7704,
626
+ "step": 880
627
+ },
628
+ {
629
+ "epoch": 0.3427031189834424,
630
+ "grad_norm": 0.18725785613059998,
631
+ "learning_rate": 7.653179634243979e-06,
632
+ "loss": 0.763,
633
+ "step": 890
634
+ },
635
+ {
636
+ "epoch": 0.346553715825953,
637
+ "grad_norm": 0.19568805396556854,
638
+ "learning_rate": 7.600120093927696e-06,
639
+ "loss": 0.7676,
640
+ "step": 900
641
+ },
642
+ {
643
+ "epoch": 0.3504043126684636,
644
+ "grad_norm": 0.20560090243816376,
645
+ "learning_rate": 7.546656134948729e-06,
646
+ "loss": 0.7572,
647
+ "step": 910
648
+ },
649
+ {
650
+ "epoch": 0.3542549095109742,
651
+ "grad_norm": 0.18407514691352844,
652
+ "learning_rate": 7.492796073008661e-06,
653
+ "loss": 0.7623,
654
+ "step": 920
655
+ },
656
+ {
657
+ "epoch": 0.3581055063534848,
658
+ "grad_norm": 0.22386719286441803,
659
+ "learning_rate": 7.438548285418326e-06,
660
+ "loss": 0.7447,
661
+ "step": 930
662
+ },
663
+ {
664
+ "epoch": 0.36195610319599536,
665
+ "grad_norm": 0.2084544450044632,
666
+ "learning_rate": 7.3839212097948e-06,
667
+ "loss": 0.7751,
668
+ "step": 940
669
+ },
670
+ {
671
+ "epoch": 0.36580670003850596,
672
+ "grad_norm": 0.1932351142168045,
673
+ "learning_rate": 7.328923342749039e-06,
674
+ "loss": 0.7906,
675
+ "step": 950
676
+ },
677
+ {
678
+ "epoch": 0.36965729688101656,
679
+ "grad_norm": 0.1996714174747467,
680
+ "learning_rate": 7.273563238564319e-06,
681
+ "loss": 0.7864,
682
+ "step": 960
683
+ },
684
+ {
685
+ "epoch": 0.37350789372352716,
686
+ "grad_norm": 0.2253912389278412,
687
+ "learning_rate": 7.217849507865724e-06,
688
+ "loss": 0.7567,
689
+ "step": 970
690
+ },
691
+ {
692
+ "epoch": 0.37735849056603776,
693
+ "grad_norm": 0.1905306577682495,
694
+ "learning_rate": 7.161790816280858e-06,
695
+ "loss": 0.7646,
696
+ "step": 980
697
+ },
698
+ {
699
+ "epoch": 0.3812090874085483,
700
+ "grad_norm": 0.19605445861816406,
701
+ "learning_rate": 7.1053958830920125e-06,
702
+ "loss": 0.7553,
703
+ "step": 990
704
+ },
705
+ {
706
+ "epoch": 0.3850596842510589,
707
+ "grad_norm": 0.19409312307834625,
708
+ "learning_rate": 7.0486734798799715e-06,
709
+ "loss": 0.7635,
710
+ "step": 1000
711
+ },
712
+ {
713
+ "epoch": 0.3889102810935695,
714
+ "grad_norm": 0.19619111716747284,
715
+ "learning_rate": 6.991632429159708e-06,
716
+ "loss": 0.7829,
717
+ "step": 1010
718
+ },
719
+ {
720
+ "epoch": 0.3927608779360801,
721
+ "grad_norm": 0.20511643588542938,
722
+ "learning_rate": 6.934281603008132e-06,
723
+ "loss": 0.7823,
724
+ "step": 1020
725
+ },
726
+ {
727
+ "epoch": 0.39661147477859066,
728
+ "grad_norm": 0.1754567176103592,
729
+ "learning_rate": 6.876629921684143e-06,
730
+ "loss": 0.7791,
731
+ "step": 1030
732
+ },
733
+ {
734
+ "epoch": 0.40046207162110126,
735
+ "grad_norm": 0.1933041661977768,
736
+ "learning_rate": 6.818686352241199e-06,
737
+ "loss": 0.7668,
738
+ "step": 1040
739
+ },
740
+ {
741
+ "epoch": 0.40431266846361186,
742
+ "grad_norm": 0.17615993320941925,
743
+ "learning_rate": 6.760459907132573e-06,
744
+ "loss": 0.7626,
745
+ "step": 1050
746
+ },
747
+ {
748
+ "epoch": 0.40816326530612246,
749
+ "grad_norm": 0.1821417659521103,
750
+ "learning_rate": 6.701959642809589e-06,
751
+ "loss": 0.7687,
752
+ "step": 1060
753
+ },
754
+ {
755
+ "epoch": 0.41201386214863306,
756
+ "grad_norm": 0.21979132294654846,
757
+ "learning_rate": 6.643194658312987e-06,
758
+ "loss": 0.7607,
759
+ "step": 1070
760
+ },
761
+ {
762
+ "epoch": 0.4158644589911436,
763
+ "grad_norm": 0.17534536123275757,
764
+ "learning_rate": 6.584174093857676e-06,
765
+ "loss": 0.7858,
766
+ "step": 1080
767
+ },
768
+ {
769
+ "epoch": 0.4197150558336542,
770
+ "grad_norm": 0.2048911601305008,
771
+ "learning_rate": 6.5249071294110735e-06,
772
+ "loss": 0.7674,
773
+ "step": 1090
774
+ },
775
+ {
776
+ "epoch": 0.4235656526761648,
777
+ "grad_norm": 0.19447925686836243,
778
+ "learning_rate": 6.465402983265274e-06,
779
+ "loss": 0.7795,
780
+ "step": 1100
781
+ },
782
+ {
783
+ "epoch": 0.4274162495186754,
784
+ "grad_norm": 0.20045778155326843,
785
+ "learning_rate": 6.405670910603243e-06,
786
+ "loss": 0.7729,
787
+ "step": 1110
788
+ },
789
+ {
790
+ "epoch": 0.431266846361186,
791
+ "grad_norm": 0.21855312585830688,
792
+ "learning_rate": 6.345720202059291e-06,
793
+ "loss": 0.7711,
794
+ "step": 1120
795
+ },
796
+ {
797
+ "epoch": 0.43511744320369655,
798
+ "grad_norm": 0.20738635957241058,
799
+ "learning_rate": 6.285560182274008e-06,
800
+ "loss": 0.7511,
801
+ "step": 1130
802
+ },
803
+ {
804
+ "epoch": 0.43896804004620715,
805
+ "grad_norm": 0.20764969289302826,
806
+ "learning_rate": 6.225200208443936e-06,
807
+ "loss": 0.7754,
808
+ "step": 1140
809
+ },
810
+ {
811
+ "epoch": 0.44281863688871775,
812
+ "grad_norm": 0.18923544883728027,
813
+ "learning_rate": 6.16464966886616e-06,
814
+ "loss": 0.761,
815
+ "step": 1150
816
+ },
817
+ {
818
+ "epoch": 0.44666923373122835,
819
+ "grad_norm": 0.21567215025424957,
820
+ "learning_rate": 6.103917981478065e-06,
821
+ "loss": 0.7884,
822
+ "step": 1160
823
+ },
824
+ {
825
+ "epoch": 0.45051983057373896,
826
+ "grad_norm": 0.18391531705856323,
827
+ "learning_rate": 6.043014592392489e-06,
828
+ "loss": 0.7957,
829
+ "step": 1170
830
+ },
831
+ {
832
+ "epoch": 0.4543704274162495,
833
+ "grad_norm": 0.18337665498256683,
834
+ "learning_rate": 5.981948974428485e-06,
835
+ "loss": 0.7759,
836
+ "step": 1180
837
+ },
838
+ {
839
+ "epoch": 0.4582210242587601,
840
+ "grad_norm": 0.18099434673786163,
841
+ "learning_rate": 5.920730625637934e-06,
842
+ "loss": 0.7544,
843
+ "step": 1190
844
+ },
845
+ {
846
+ "epoch": 0.4620716211012707,
847
+ "grad_norm": 0.19082050025463104,
848
+ "learning_rate": 5.8593690678282355e-06,
849
+ "loss": 0.7604,
850
+ "step": 1200
851
+ },
852
+ {
853
+ "epoch": 0.4659222179437813,
854
+ "grad_norm": 0.19183997809886932,
855
+ "learning_rate": 5.797873845081301e-06,
856
+ "loss": 0.7589,
857
+ "step": 1210
858
+ },
859
+ {
860
+ "epoch": 0.46977281478629185,
861
+ "grad_norm": 0.21750102937221527,
862
+ "learning_rate": 5.736254522269075e-06,
863
+ "loss": 0.7854,
864
+ "step": 1220
865
+ },
866
+ {
867
+ "epoch": 0.47362341162880245,
868
+ "grad_norm": 0.19117312133312225,
869
+ "learning_rate": 5.6745206835658386e-06,
870
+ "loss": 0.78,
871
+ "step": 1230
872
+ },
873
+ {
874
+ "epoch": 0.47747400847131305,
875
+ "grad_norm": 0.2099006175994873,
876
+ "learning_rate": 5.612681930957495e-06,
877
+ "loss": 0.7587,
878
+ "step": 1240
879
+ },
880
+ {
881
+ "epoch": 0.48132460531382365,
882
+ "grad_norm": 0.18304923176765442,
883
+ "learning_rate": 5.550747882748095e-06,
884
+ "loss": 0.753,
885
+ "step": 1250
886
+ },
887
+ {
888
+ "epoch": 0.48517520215633425,
889
+ "grad_norm": 0.223626971244812,
890
+ "learning_rate": 5.4887281720638195e-06,
891
+ "loss": 0.764,
892
+ "step": 1260
893
+ },
894
+ {
895
+ "epoch": 0.4890257989988448,
896
+ "grad_norm": 0.20351770520210266,
897
+ "learning_rate": 5.42663244535466e-06,
898
+ "loss": 0.7448,
899
+ "step": 1270
900
+ },
901
+ {
902
+ "epoch": 0.4928763958413554,
903
+ "grad_norm": 0.1950802206993103,
904
+ "learning_rate": 5.3644703608940205e-06,
905
+ "loss": 0.7592,
906
+ "step": 1280
907
+ },
908
+ {
909
+ "epoch": 0.496726992683866,
910
+ "grad_norm": 0.1965511292219162,
911
+ "learning_rate": 5.302251587276491e-06,
912
+ "loss": 0.7707,
913
+ "step": 1290
914
+ },
915
+ {
916
+ "epoch": 0.5005775895263765,
917
+ "grad_norm": 0.18340805172920227,
918
+ "learning_rate": 5.2399858019140005e-06,
919
+ "loss": 0.7618,
920
+ "step": 1300
921
+ },
922
+ {
923
+ "epoch": 0.5044281863688872,
924
+ "grad_norm": 0.18910282850265503,
925
+ "learning_rate": 5.177682689530615e-06,
926
+ "loss": 0.7792,
927
+ "step": 1310
928
+ },
929
+ {
930
+ "epoch": 0.5082787832113977,
931
+ "grad_norm": 0.2004099041223526,
932
+ "learning_rate": 5.11535194065619e-06,
933
+ "loss": 0.7525,
934
+ "step": 1320
935
+ },
936
+ {
937
+ "epoch": 0.5121293800539084,
938
+ "grad_norm": 0.20023386180400848,
939
+ "learning_rate": 5.053003250119113e-06,
940
+ "loss": 0.761,
941
+ "step": 1330
942
+ },
943
+ {
944
+ "epoch": 0.515979976896419,
945
+ "grad_norm": 0.20084014534950256,
946
+ "learning_rate": 4.9906463155383925e-06,
947
+ "loss": 0.7645,
948
+ "step": 1340
949
+ },
950
+ {
951
+ "epoch": 0.5198305737389295,
952
+ "grad_norm": 0.1981838345527649,
953
+ "learning_rate": 4.9282908358153046e-06,
954
+ "loss": 0.7605,
955
+ "step": 1350
956
+ },
957
+ {
958
+ "epoch": 0.5236811705814401,
959
+ "grad_norm": 0.19754034280776978,
960
+ "learning_rate": 4.8659465096248345e-06,
961
+ "loss": 0.7787,
962
+ "step": 1360
963
+ },
964
+ {
965
+ "epoch": 0.5275317674239507,
966
+ "grad_norm": 0.18933983147144318,
967
+ "learning_rate": 4.803623033907169e-06,
968
+ "loss": 0.7728,
969
+ "step": 1370
970
+ },
971
+ {
972
+ "epoch": 0.5313823642664613,
973
+ "grad_norm": 0.18298152089118958,
974
+ "learning_rate": 4.741330102359441e-06,
975
+ "loss": 0.7844,
976
+ "step": 1380
977
+ },
978
+ {
979
+ "epoch": 0.5352329611089719,
980
+ "grad_norm": 0.19923479855060577,
981
+ "learning_rate": 4.679077403927996e-06,
982
+ "loss": 0.7603,
983
+ "step": 1390
984
+ },
985
+ {
986
+ "epoch": 0.5390835579514824,
987
+ "grad_norm": 0.19486647844314575,
988
+ "learning_rate": 4.616874621301373e-06,
989
+ "loss": 0.7609,
990
+ "step": 1400
991
+ },
992
+ {
993
+ "epoch": 0.5429341547939931,
994
+ "grad_norm": 0.20355503261089325,
995
+ "learning_rate": 4.554731429404293e-06,
996
+ "loss": 0.7772,
997
+ "step": 1410
998
+ },
999
+ {
1000
+ "epoch": 0.5467847516365036,
1001
+ "grad_norm": 0.20892585813999176,
1002
+ "learning_rate": 4.492657493892822e-06,
1003
+ "loss": 0.7634,
1004
+ "step": 1420
1005
+ },
1006
+ {
1007
+ "epoch": 0.5506353484790143,
1008
+ "grad_norm": 0.2090023010969162,
1009
+ "learning_rate": 4.430662469650999e-06,
1010
+ "loss": 0.7756,
1011
+ "step": 1430
1012
+ },
1013
+ {
1014
+ "epoch": 0.5544859453215248,
1015
+ "grad_norm": 0.1967790275812149,
1016
+ "learning_rate": 4.368755999289118e-06,
1017
+ "loss": 0.7754,
1018
+ "step": 1440
1019
+ },
1020
+ {
1021
+ "epoch": 0.5583365421640354,
1022
+ "grad_norm": 0.19632653892040253,
1023
+ "learning_rate": 4.306947711643949e-06,
1024
+ "loss": 0.7603,
1025
+ "step": 1450
1026
+ },
1027
+ {
1028
+ "epoch": 0.562187139006546,
1029
+ "grad_norm": 0.18705439567565918,
1030
+ "learning_rate": 4.245247220281068e-06,
1031
+ "loss": 0.7642,
1032
+ "step": 1460
1033
+ },
1034
+ {
1035
+ "epoch": 0.5660377358490566,
1036
+ "grad_norm": 0.1869741827249527,
1037
+ "learning_rate": 4.183664121999587e-06,
1038
+ "loss": 0.7622,
1039
+ "step": 1470
1040
+ },
1041
+ {
1042
+ "epoch": 0.5698883326915672,
1043
+ "grad_norm": 0.19865873456001282,
1044
+ "learning_rate": 4.122207995339474e-06,
1045
+ "loss": 0.7543,
1046
+ "step": 1480
1047
+ },
1048
+ {
1049
+ "epoch": 0.5737389295340778,
1050
+ "grad_norm": 0.19175782799720764,
1051
+ "learning_rate": 4.060888399091734e-06,
1052
+ "loss": 0.764,
1053
+ "step": 1490
1054
+ },
1055
+ {
1056
+ "epoch": 0.5775895263765883,
1057
+ "grad_norm": 0.19381971657276154,
1058
+ "learning_rate": 3.999714870811639e-06,
1059
+ "loss": 0.7736,
1060
+ "step": 1500
1061
+ },
1062
+ {
1063
+ "epoch": 0.581440123219099,
1064
+ "grad_norm": 0.20095475018024445,
1065
+ "learning_rate": 3.938696925335275e-06,
1066
+ "loss": 0.7677,
1067
+ "step": 1510
1068
+ },
1069
+ {
1070
+ "epoch": 0.5852907200616095,
1071
+ "grad_norm": 0.21570806205272675,
1072
+ "learning_rate": 3.87784405329962e-06,
1073
+ "loss": 0.7758,
1074
+ "step": 1520
1075
+ },
1076
+ {
1077
+ "epoch": 0.5891413169041202,
1078
+ "grad_norm": 0.18443083763122559,
1079
+ "learning_rate": 3.817165719666382e-06,
1080
+ "loss": 0.7774,
1081
+ "step": 1530
1082
+ },
1083
+ {
1084
+ "epoch": 0.5929919137466307,
1085
+ "grad_norm": 0.1902119517326355,
1086
+ "learning_rate": 3.756671362249841e-06,
1087
+ "loss": 0.7771,
1088
+ "step": 1540
1089
+ },
1090
+ {
1091
+ "epoch": 0.5968425105891413,
1092
+ "grad_norm": 0.18142260611057281,
1093
+ "learning_rate": 3.6963703902488907e-06,
1094
+ "loss": 0.766,
1095
+ "step": 1550
1096
+ },
1097
+ {
1098
+ "epoch": 0.6006931074316519,
1099
+ "grad_norm": 0.18969103693962097,
1100
+ "learning_rate": 3.6362721827835655e-06,
1101
+ "loss": 0.7802,
1102
+ "step": 1560
1103
+ },
1104
+ {
1105
+ "epoch": 0.6045437042741625,
1106
+ "grad_norm": 0.19753119349479675,
1107
+ "learning_rate": 3.576386087436212e-06,
1108
+ "loss": 0.7817,
1109
+ "step": 1570
1110
+ },
1111
+ {
1112
+ "epoch": 0.608394301116673,
1113
+ "grad_norm": 0.20765331387519836,
1114
+ "learning_rate": 3.5167214187975913e-06,
1115
+ "loss": 0.7751,
1116
+ "step": 1580
1117
+ },
1118
+ {
1119
+ "epoch": 0.6122448979591837,
1120
+ "grad_norm": 0.1863003671169281,
1121
+ "learning_rate": 3.457287457018086e-06,
1122
+ "loss": 0.7697,
1123
+ "step": 1590
1124
+ },
1125
+ {
1126
+ "epoch": 0.6160954948016942,
1127
+ "grad_norm": 0.18678048253059387,
1128
+ "learning_rate": 3.3980934463643003e-06,
1129
+ "loss": 0.7652,
1130
+ "step": 1600
1131
+ },
1132
+ {
1133
+ "epoch": 0.6199460916442049,
1134
+ "grad_norm": 0.17461732029914856,
1135
+ "learning_rate": 3.3391485937812053e-06,
1136
+ "loss": 0.7441,
1137
+ "step": 1610
1138
+ },
1139
+ {
1140
+ "epoch": 0.6237966884867154,
1141
+ "grad_norm": 0.19727380573749542,
1142
+ "learning_rate": 3.280462067460115e-06,
1143
+ "loss": 0.7454,
1144
+ "step": 1620
1145
+ },
1146
+ {
1147
+ "epoch": 0.627647285329226,
1148
+ "grad_norm": 0.19359944760799408,
1149
+ "learning_rate": 3.222042995412669e-06,
1150
+ "loss": 0.7705,
1151
+ "step": 1630
1152
+ },
1153
+ {
1154
+ "epoch": 0.6314978821717366,
1155
+ "grad_norm": 0.17339451611042023,
1156
+ "learning_rate": 3.163900464051089e-06,
1157
+ "loss": 0.7616,
1158
+ "step": 1640
1159
+ },
1160
+ {
1161
+ "epoch": 0.6353484790142472,
1162
+ "grad_norm": 0.1917923241853714,
1163
+ "learning_rate": 3.1060435167748826e-06,
1164
+ "loss": 0.7757,
1165
+ "step": 1650
1166
+ },
1167
+ {
1168
+ "epoch": 0.6391990758567578,
1169
+ "grad_norm": 0.18616701662540436,
1170
+ "learning_rate": 3.048481152564253e-06,
1171
+ "loss": 0.7515,
1172
+ "step": 1660
1173
+ },
1174
+ {
1175
+ "epoch": 0.6430496726992684,
1176
+ "grad_norm": 0.1986205279827118,
1177
+ "learning_rate": 2.9912223245804017e-06,
1178
+ "loss": 0.769,
1179
+ "step": 1670
1180
+ },
1181
+ {
1182
+ "epoch": 0.6469002695417789,
1183
+ "grad_norm": 0.19592802226543427,
1184
+ "learning_rate": 2.934275938772981e-06,
1185
+ "loss": 0.7634,
1186
+ "step": 1680
1187
+ },
1188
+ {
1189
+ "epoch": 0.6507508663842896,
1190
+ "grad_norm": 0.20635592937469482,
1191
+ "learning_rate": 2.8776508524948676e-06,
1192
+ "loss": 0.7579,
1193
+ "step": 1690
1194
+ },
1195
+ {
1196
+ "epoch": 0.6546014632268001,
1197
+ "grad_norm": 0.18550164997577667,
1198
+ "learning_rate": 2.821355873124503e-06,
1199
+ "loss": 0.7612,
1200
+ "step": 1700
1201
+ },
1202
+ {
1203
+ "epoch": 0.6584520600693108,
1204
+ "grad_norm": 0.19940944015979767,
1205
+ "learning_rate": 2.7653997566960144e-06,
1206
+ "loss": 0.7657,
1207
+ "step": 1710
1208
+ },
1209
+ {
1210
+ "epoch": 0.6623026569118213,
1211
+ "grad_norm": 0.20326128602027893,
1212
+ "learning_rate": 2.709791206537309e-06,
1213
+ "loss": 0.7589,
1214
+ "step": 1720
1215
+ },
1216
+ {
1217
+ "epoch": 0.6661532537543319,
1218
+ "grad_norm": 0.20891360938549042,
1219
+ "learning_rate": 2.6545388719163747e-06,
1220
+ "loss": 0.7678,
1221
+ "step": 1730
1222
+ },
1223
+ {
1224
+ "epoch": 0.6700038505968425,
1225
+ "grad_norm": 0.1970490664243698,
1226
+ "learning_rate": 2.599651346695979e-06,
1227
+ "loss": 0.7735,
1228
+ "step": 1740
1229
+ },
1230
+ {
1231
+ "epoch": 0.6738544474393531,
1232
+ "grad_norm": 0.18480409681797028,
1233
+ "learning_rate": 2.545137167997007e-06,
1234
+ "loss": 0.7661,
1235
+ "step": 1750
1236
+ },
1237
+ {
1238
+ "epoch": 0.6777050442818637,
1239
+ "grad_norm": 0.19419221580028534,
1240
+ "learning_rate": 2.4910048148705972e-06,
1241
+ "loss": 0.7605,
1242
+ "step": 1760
1243
+ },
1244
+ {
1245
+ "epoch": 0.6815556411243743,
1246
+ "grad_norm": 0.19665393233299255,
1247
+ "learning_rate": 2.4372627069793327e-06,
1248
+ "loss": 0.7945,
1249
+ "step": 1770
1250
+ },
1251
+ {
1252
+ "epoch": 0.6854062379668848,
1253
+ "grad_norm": 0.18186819553375244,
1254
+ "learning_rate": 2.3839192032876486e-06,
1255
+ "loss": 0.773,
1256
+ "step": 1780
1257
+ },
1258
+ {
1259
+ "epoch": 0.6892568348093955,
1260
+ "grad_norm": 0.19869284331798553,
1261
+ "learning_rate": 2.3309826007617047e-06,
1262
+ "loss": 0.7877,
1263
+ "step": 1790
1264
+ },
1265
+ {
1266
+ "epoch": 0.693107431651906,
1267
+ "grad_norm": 0.18705028295516968,
1268
+ "learning_rate": 2.278461133078881e-06,
1269
+ "loss": 0.7559,
1270
+ "step": 1800
1271
+ },
1272
+ {
1273
+ "epoch": 0.6969580284944167,
1274
+ "grad_norm": 0.19000335037708282,
1275
+ "learning_rate": 2.2263629693471258e-06,
1276
+ "loss": 0.7499,
1277
+ "step": 1810
1278
+ },
1279
+ {
1280
+ "epoch": 0.7008086253369272,
1281
+ "grad_norm": 0.1877707690000534,
1282
+ "learning_rate": 2.1746962128343414e-06,
1283
+ "loss": 0.7735,
1284
+ "step": 1820
1285
+ },
1286
+ {
1287
+ "epoch": 0.7046592221794378,
1288
+ "grad_norm": 0.200687974691391,
1289
+ "learning_rate": 2.1234688997080183e-06,
1290
+ "loss": 0.7564,
1291
+ "step": 1830
1292
+ },
1293
+ {
1294
+ "epoch": 0.7085098190219484,
1295
+ "grad_norm": 0.1854902058839798,
1296
+ "learning_rate": 2.0726889977853053e-06,
1297
+ "loss": 0.7613,
1298
+ "step": 1840
1299
+ },
1300
+ {
1301
+ "epoch": 0.712360415864459,
1302
+ "grad_norm": 0.20532119274139404,
1303
+ "learning_rate": 2.022364405293703e-06,
1304
+ "loss": 0.7753,
1305
+ "step": 1850
1306
+ },
1307
+ {
1308
+ "epoch": 0.7162110127069696,
1309
+ "grad_norm": 0.18490338325500488,
1310
+ "learning_rate": 1.9725029496425814e-06,
1311
+ "loss": 0.774,
1312
+ "step": 1860
1313
+ },
1314
+ {
1315
+ "epoch": 0.7200616095494802,
1316
+ "grad_norm": 0.18115879595279694,
1317
+ "learning_rate": 1.923112386205727e-06,
1318
+ "loss": 0.7643,
1319
+ "step": 1870
1320
+ },
1321
+ {
1322
+ "epoch": 0.7239122063919907,
1323
+ "grad_norm": 0.19173459708690643,
1324
+ "learning_rate": 1.874200397115079e-06,
1325
+ "loss": 0.7753,
1326
+ "step": 1880
1327
+ },
1328
+ {
1329
+ "epoch": 0.7277628032345014,
1330
+ "grad_norm": 0.19437021017074585,
1331
+ "learning_rate": 1.825774590065857e-06,
1332
+ "loss": 0.7605,
1333
+ "step": 1890
1334
+ },
1335
+ {
1336
+ "epoch": 0.7316134000770119,
1337
+ "grad_norm": 0.20745044946670532,
1338
+ "learning_rate": 1.7778424971332813e-06,
1339
+ "loss": 0.7713,
1340
+ "step": 1900
1341
+ },
1342
+ {
1343
+ "epoch": 0.7354639969195226,
1344
+ "grad_norm": 0.17982487380504608,
1345
+ "learning_rate": 1.7304115736010407e-06,
1346
+ "loss": 0.7709,
1347
+ "step": 1910
1348
+ },
1349
+ {
1350
+ "epoch": 0.7393145937620331,
1351
+ "grad_norm": 0.19317007064819336,
1352
+ "learning_rate": 1.6834891968017108e-06,
1353
+ "loss": 0.7566,
1354
+ "step": 1920
1355
+ },
1356
+ {
1357
+ "epoch": 0.7431651906045437,
1358
+ "grad_norm": 0.20156142115592957,
1359
+ "learning_rate": 1.6370826649692884e-06,
1360
+ "loss": 0.7786,
1361
+ "step": 1930
1362
+ },
1363
+ {
1364
+ "epoch": 0.7470157874470543,
1365
+ "grad_norm": 0.19057881832122803,
1366
+ "learning_rate": 1.5911991961040463e-06,
1367
+ "loss": 0.7757,
1368
+ "step": 1940
1369
+ },
1370
+ {
1371
+ "epoch": 0.7508663842895649,
1372
+ "grad_norm": 0.2041466385126114,
1373
+ "learning_rate": 1.545845926849851e-06,
1374
+ "loss": 0.7564,
1375
+ "step": 1950
1376
+ },
1377
+ {
1378
+ "epoch": 0.7547169811320755,
1379
+ "grad_norm": 0.19788490235805511,
1380
+ "learning_rate": 1.5010299113841397e-06,
1381
+ "loss": 0.7839,
1382
+ "step": 1960
1383
+ },
1384
+ {
1385
+ "epoch": 0.7585675779745861,
1386
+ "grad_norm": 0.19685553014278412,
1387
+ "learning_rate": 1.4567581203207238e-06,
1388
+ "loss": 0.7717,
1389
+ "step": 1970
1390
+ },
1391
+ {
1392
+ "epoch": 0.7624181748170966,
1393
+ "grad_norm": 0.19698882102966309,
1394
+ "learning_rate": 1.413037439625593e-06,
1395
+ "loss": 0.7722,
1396
+ "step": 1980
1397
+ },
1398
+ {
1399
+ "epoch": 0.7662687716596073,
1400
+ "grad_norm": 0.2278912365436554,
1401
+ "learning_rate": 1.3698746695458847e-06,
1402
+ "loss": 0.7594,
1403
+ "step": 1990
1404
+ },
1405
+ {
1406
+ "epoch": 0.7701193685021178,
1407
+ "grad_norm": 0.1892322450876236,
1408
+ "learning_rate": 1.3272765235521745e-06,
1409
+ "loss": 0.7616,
1410
+ "step": 2000
1411
+ },
1412
+ {
1413
+ "epoch": 0.7739699653446284,
1414
+ "grad_norm": 0.18636590242385864,
1415
+ "learning_rate": 1.2852496272942877e-06,
1416
+ "loss": 0.7673,
1417
+ "step": 2010
1418
+ },
1419
+ {
1420
+ "epoch": 0.777820562187139,
1421
+ "grad_norm": 0.18312077224254608,
1422
+ "learning_rate": 1.2438005175707396e-06,
1423
+ "loss": 0.7502,
1424
+ "step": 2020
1425
+ },
1426
+ {
1427
+ "epoch": 0.7816711590296496,
1428
+ "grad_norm": 0.1870937943458557,
1429
+ "learning_rate": 1.2029356413120297e-06,
1430
+ "loss": 0.7471,
1431
+ "step": 2030
1432
+ },
1433
+ {
1434
+ "epoch": 0.7855217558721602,
1435
+ "grad_norm": 0.18872828781604767,
1436
+ "learning_rate": 1.1626613545778786e-06,
1437
+ "loss": 0.7604,
1438
+ "step": 2040
1439
+ },
1440
+ {
1441
+ "epoch": 0.7893723527146708,
1442
+ "grad_norm": 0.18035084009170532,
1443
+ "learning_rate": 1.1229839215686294e-06,
1444
+ "loss": 0.7627,
1445
+ "step": 2050
1446
+ },
1447
+ {
1448
+ "epoch": 0.7932229495571813,
1449
+ "grad_norm": 0.17309904098510742,
1450
+ "learning_rate": 1.0839095136509188e-06,
1451
+ "loss": 0.7507,
1452
+ "step": 2060
1453
+ },
1454
+ {
1455
+ "epoch": 0.797073546399692,
1456
+ "grad_norm": 0.1933337152004242,
1457
+ "learning_rate": 1.045444208397791e-06,
1458
+ "loss": 0.7678,
1459
+ "step": 2070
1460
+ },
1461
+ {
1462
+ "epoch": 0.8009241432422025,
1463
+ "grad_norm": 0.18256595730781555,
1464
+ "learning_rate": 1.007593988643402e-06,
1465
+ "loss": 0.7419,
1466
+ "step": 2080
1467
+ },
1468
+ {
1469
+ "epoch": 0.8047747400847132,
1470
+ "grad_norm": 0.18830397725105286,
1471
+ "learning_rate": 9.703647415524613e-07,
1472
+ "loss": 0.7688,
1473
+ "step": 2090
1474
+ },
1475
+ {
1476
+ "epoch": 0.8086253369272237,
1477
+ "grad_norm": 0.18013456463813782,
1478
+ "learning_rate": 9.337622577045485e-07,
1479
+ "loss": 0.761,
1480
+ "step": 2100
1481
+ },
1482
+ {
1483
+ "epoch": 0.8124759337697343,
1484
+ "grad_norm": 0.19079537689685822,
1485
+ "learning_rate": 8.977922301934588e-07,
1486
+ "loss": 0.7621,
1487
+ "step": 2110
1488
+ },
1489
+ {
1490
+ "epoch": 0.8163265306122449,
1491
+ "grad_norm": 0.20160210132598877,
1492
+ "learning_rate": 8.624602537417009e-07,
1493
+ "loss": 0.7773,
1494
+ "step": 2120
1495
+ },
1496
+ {
1497
+ "epoch": 0.8201771274547555,
1498
+ "grad_norm": 0.19088441133499146,
1499
+ "learning_rate": 8.277718238303123e-07,
1500
+ "loss": 0.7598,
1501
+ "step": 2130
1502
+ },
1503
+ {
1504
+ "epoch": 0.8240277242972661,
1505
+ "grad_norm": 0.19356109201908112,
1506
+ "learning_rate": 7.937323358440935e-07,
1507
+ "loss": 0.7618,
1508
+ "step": 2140
1509
+ },
1510
+ {
1511
+ "epoch": 0.8278783211397767,
1512
+ "grad_norm": 0.18671314418315887,
1513
+ "learning_rate": 7.603470842324223e-07,
1514
+ "loss": 0.7513,
1515
+ "step": 2150
1516
+ },
1517
+ {
1518
+ "epoch": 0.8317289179822872,
1519
+ "grad_norm": 0.18274205923080444,
1520
+ "learning_rate": 7.276212616857575e-07,
1521
+ "loss": 0.7718,
1522
+ "step": 2160
1523
+ },
1524
+ {
1525
+ "epoch": 0.8355795148247979,
1526
+ "grad_norm": 0.18926343321800232,
1527
+ "learning_rate": 6.955599583279837e-07,
1528
+ "loss": 0.7661,
1529
+ "step": 2170
1530
+ },
1531
+ {
1532
+ "epoch": 0.8394301116673084,
1533
+ "grad_norm": 0.18233337998390198,
1534
+ "learning_rate": 6.641681609246981e-07,
1535
+ "loss": 0.761,
1536
+ "step": 2180
1537
+ },
1538
+ {
1539
+ "epoch": 0.8432807085098191,
1540
+ "grad_norm": 0.18857862055301666,
1541
+ "learning_rate": 6.334507521075711e-07,
1542
+ "loss": 0.7626,
1543
+ "step": 2190
1544
+ },
1545
+ {
1546
+ "epoch": 0.8471313053523296,
1547
+ "grad_norm": 0.20190946757793427,
1548
+ "learning_rate": 6.034125096149179e-07,
1549
+ "loss": 0.7645,
1550
+ "step": 2200
1551
+ },
1552
+ {
1553
+ "epoch": 0.8509819021948402,
1554
+ "grad_norm": 0.19509950280189514,
1555
+ "learning_rate": 5.740581055485722e-07,
1556
+ "loss": 0.7358,
1557
+ "step": 2210
1558
+ },
1559
+ {
1560
+ "epoch": 0.8548324990373508,
1561
+ "grad_norm": 0.200290709733963,
1562
+ "learning_rate": 5.453921056471961e-07,
1563
+ "loss": 0.7692,
1564
+ "step": 2220
1565
+ },
1566
+ {
1567
+ "epoch": 0.8586830958798614,
1568
+ "grad_norm": 0.203404039144516,
1569
+ "learning_rate": 5.174189685761288e-07,
1570
+ "loss": 0.7623,
1571
+ "step": 2230
1572
+ },
1573
+ {
1574
+ "epoch": 0.862533692722372,
1575
+ "grad_norm": 0.18002291023731232,
1576
+ "learning_rate": 4.901430452338979e-07,
1577
+ "loss": 0.7721,
1578
+ "step": 2240
1579
+ },
1580
+ {
1581
+ "epoch": 0.8663842895648826,
1582
+ "grad_norm": 0.18786640465259552,
1583
+ "learning_rate": 4.6356857807548286e-07,
1584
+ "loss": 0.7621,
1585
+ "step": 2250
1586
+ },
1587
+ {
1588
+ "epoch": 0.8702348864073931,
1589
+ "grad_norm": 0.21400678157806396,
1590
+ "learning_rate": 4.376997004524541e-07,
1591
+ "loss": 0.7437,
1592
+ "step": 2260
1593
+ },
1594
+ {
1595
+ "epoch": 0.8740854832499038,
1596
+ "grad_norm": 0.1855139285326004,
1597
+ "learning_rate": 4.12540435970073e-07,
1598
+ "loss": 0.7637,
1599
+ "step": 2270
1600
+ },
1601
+ {
1602
+ "epoch": 0.8779360800924143,
1603
+ "grad_norm": 0.1817830204963684,
1604
+ "learning_rate": 3.880946978614703e-07,
1605
+ "loss": 0.7662,
1606
+ "step": 2280
1607
+ },
1608
+ {
1609
+ "epoch": 0.881786676934925,
1610
+ "grad_norm": 0.19083821773529053,
1611
+ "learning_rate": 3.643662883789878e-07,
1612
+ "loss": 0.7718,
1613
+ "step": 2290
1614
+ },
1615
+ {
1616
+ "epoch": 0.8856372737774355,
1617
+ "grad_norm": 0.1760985106229782,
1618
+ "learning_rate": 3.41358898202781e-07,
1619
+ "loss": 0.7527,
1620
+ "step": 2300
1621
+ },
1622
+ {
1623
+ "epoch": 0.889487870619946,
1624
+ "grad_norm": 0.1827404797077179,
1625
+ "learning_rate": 3.190761058667741e-07,
1626
+ "loss": 0.7641,
1627
+ "step": 2310
1628
+ },
1629
+ {
1630
+ "epoch": 0.8933384674624567,
1631
+ "grad_norm": 0.1787968873977661,
1632
+ "learning_rate": 2.9752137720206463e-07,
1633
+ "loss": 0.7675,
1634
+ "step": 2320
1635
+ },
1636
+ {
1637
+ "epoch": 0.8971890643049673,
1638
+ "grad_norm": 0.1996941715478897,
1639
+ "learning_rate": 2.7669806479785067e-07,
1640
+ "loss": 0.7766,
1641
+ "step": 2330
1642
+ },
1643
+ {
1644
+ "epoch": 0.9010396611474779,
1645
+ "grad_norm": 0.17823517322540283,
1646
+ "learning_rate": 2.566094074799763e-07,
1647
+ "loss": 0.769,
1648
+ "step": 2340
1649
+ },
1650
+ {
1651
+ "epoch": 0.9048902579899885,
1652
+ "grad_norm": 0.18662112951278687,
1653
+ "learning_rate": 2.3725852980716557e-07,
1654
+ "loss": 0.7478,
1655
+ "step": 2350
1656
+ },
1657
+ {
1658
+ "epoch": 0.908740854832499,
1659
+ "grad_norm": 0.17805086076259613,
1660
+ "learning_rate": 2.1864844158503983e-07,
1661
+ "loss": 0.7631,
1662
+ "step": 2360
1663
+ },
1664
+ {
1665
+ "epoch": 0.9125914516750097,
1666
+ "grad_norm": 0.20468232035636902,
1667
+ "learning_rate": 2.007820373979702e-07,
1668
+ "loss": 0.7554,
1669
+ "step": 2370
1670
+ },
1671
+ {
1672
+ "epoch": 0.9164420485175202,
1673
+ "grad_norm": 0.18458418548107147,
1674
+ "learning_rate": 1.8366209615886532e-07,
1675
+ "loss": 0.766,
1676
+ "step": 2380
1677
+ },
1678
+ {
1679
+ "epoch": 0.9202926453600309,
1680
+ "grad_norm": 0.18345901370048523,
1681
+ "learning_rate": 1.6729128067693613e-07,
1682
+ "loss": 0.7763,
1683
+ "step": 2390
1684
+ },
1685
+ {
1686
+ "epoch": 0.9241432422025414,
1687
+ "grad_norm": 0.20528674125671387,
1688
+ "learning_rate": 1.5167213724353426e-07,
1689
+ "loss": 0.772,
1690
+ "step": 2400
1691
+ },
1692
+ {
1693
+ "epoch": 0.927993839045052,
1694
+ "grad_norm": 0.18092918395996094,
1695
+ "learning_rate": 1.3680709523610058e-07,
1696
+ "loss": 0.7495,
1697
+ "step": 2410
1698
+ },
1699
+ {
1700
+ "epoch": 0.9318444358875626,
1701
+ "grad_norm": 0.17769111692905426,
1702
+ "learning_rate": 1.2269846674030418e-07,
1703
+ "loss": 0.7804,
1704
+ "step": 2420
1705
+ },
1706
+ {
1707
+ "epoch": 0.9356950327300732,
1708
+ "grad_norm": 0.1892605721950531,
1709
+ "learning_rate": 1.0934844619042595e-07,
1710
+ "loss": 0.7727,
1711
+ "step": 2430
1712
+ },
1713
+ {
1714
+ "epoch": 0.9395456295725837,
1715
+ "grad_norm": 0.1831531524658203,
1716
+ "learning_rate": 9.675911002803961e-08,
1717
+ "loss": 0.7634,
1718
+ "step": 2440
1719
+ },
1720
+ {
1721
+ "epoch": 0.9433962264150944,
1722
+ "grad_norm": 0.1971692144870758,
1723
+ "learning_rate": 8.493241637904381e-08,
1724
+ "loss": 0.7526,
1725
+ "step": 2450
1726
+ },
1727
+ {
1728
+ "epoch": 0.9472468232576049,
1729
+ "grad_norm": 0.20653313398361206,
1730
+ "learning_rate": 7.387020474909689e-08,
1731
+ "loss": 0.7787,
1732
+ "step": 2460
1733
+ },
1734
+ {
1735
+ "epoch": 0.9510974201001156,
1736
+ "grad_norm": 0.21059395372867584,
1737
+ "learning_rate": 6.357419573750856e-08,
1738
+ "loss": 0.7755,
1739
+ "step": 2470
1740
+ },
1741
+ {
1742
+ "epoch": 0.9549480169426261,
1743
+ "grad_norm": 0.18753214180469513,
1744
+ "learning_rate": 5.4045990769613365e-08,
1745
+ "loss": 0.7598,
1746
+ "step": 2480
1747
+ },
1748
+ {
1749
+ "epoch": 0.9587986137851366,
1750
+ "grad_norm": 0.19057603180408478,
1751
+ "learning_rate": 4.5287071847694434e-08,
1752
+ "loss": 0.7616,
1753
+ "step": 2490
1754
+ },
1755
+ {
1756
+ "epoch": 0.9626492106276473,
1757
+ "grad_norm": 0.18301013112068176,
1758
+ "learning_rate": 3.7298801320467817e-08,
1759
+ "loss": 0.7622,
1760
+ "step": 2500
1761
+ },
1762
+ {
1763
+ "epoch": 0.9664998074701578,
1764
+ "grad_norm": 0.17472243309020996,
1765
+ "learning_rate": 3.0082421671192576e-08,
1766
+ "loss": 0.7612,
1767
+ "step": 2510
1768
+ },
1769
+ {
1770
+ "epoch": 0.9703504043126685,
1771
+ "grad_norm": 0.1988341510295868,
1772
+ "learning_rate": 2.3639055324410355e-08,
1773
+ "loss": 0.7748,
1774
+ "step": 2520
1775
+ },
1776
+ {
1777
+ "epoch": 0.974201001155179,
1778
+ "grad_norm": 0.19698554277420044,
1779
+ "learning_rate": 1.7969704471369477e-08,
1780
+ "loss": 0.7566,
1781
+ "step": 2530
1782
+ },
1783
+ {
1784
+ "epoch": 0.9780515979976896,
1785
+ "grad_norm": 0.1745530366897583,
1786
+ "learning_rate": 1.3075250914142413e-08,
1787
+ "loss": 0.7565,
1788
+ "step": 2540
1789
+ },
1790
+ {
1791
+ "epoch": 0.9819021948402002,
1792
+ "grad_norm": 0.1759195327758789,
1793
+ "learning_rate": 8.956455928476049e-09,
1794
+ "loss": 0.7726,
1795
+ "step": 2550
1796
+ },
1797
+ {
1798
+ "epoch": 0.9857527916827108,
1799
+ "grad_norm": 0.1823294758796692,
1800
+ "learning_rate": 5.6139601453786275e-09,
1801
+ "loss": 0.7582,
1802
+ "step": 2560
1803
+ },
1804
+ {
1805
+ "epoch": 0.9896033885252215,
1806
+ "grad_norm": 0.18130303919315338,
1807
+ "learning_rate": 3.0482834514805602e-09,
1808
+ "loss": 0.7536,
1809
+ "step": 2570
1810
+ },
1811
+ {
1812
+ "epoch": 0.993453985367732,
1813
+ "grad_norm": 0.17823684215545654,
1814
+ "learning_rate": 1.2598249081713366e-09,
1815
+ "loss": 0.745,
1816
+ "step": 2580
1817
+ },
1818
+ {
1819
+ "epoch": 0.9973045822102425,
1820
+ "grad_norm": 0.19095318019390106,
1821
+ "learning_rate": 2.488626895302826e-10,
1822
+ "loss": 0.7758,
1823
+ "step": 2590
1824
+ },
1825
+ {
1826
+ "epoch": 1.0,
1827
+ "step": 2597,
1828
+ "total_flos": 6.732686872310448e+18,
1829
+ "train_loss": 0.7787431684603451,
1830
+ "train_runtime": 14850.6791,
1831
+ "train_samples_per_second": 44.773,
1832
+ "train_steps_per_second": 0.175
1833
+ }
1834
+ ],
1835
+ "logging_steps": 10,
1836
+ "max_steps": 2597,
1837
+ "num_input_tokens_seen": 584317136,
1838
+ "num_train_epochs": 1,
1839
+ "save_steps": 500,
1840
+ "stateful_callbacks": {
1841
+ "TrainerControl": {
1842
+ "args": {
1843
+ "should_epoch_stop": false,
1844
+ "should_evaluate": false,
1845
+ "should_log": false,
1846
+ "should_save": true,
1847
+ "should_training_stop": true
1848
+ },
1849
+ "attributes": {}
1850
+ }
1851
+ },
1852
+ "total_flos": 6.732686872310448e+18,
1853
+ "train_batch_size": 16,
1854
+ "trial_name": null,
1855
+ "trial_params": null
1856
+ }
continuous/smollm2/pixio_vitl16/finetune/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3efe40fbcf83c2f6d4edb8cab39118f291ac1c34e3c3fff8d997ce97d52f1bc5
3
+ size 6264
continuous/smollm2/pixio_vitl16/finetune/vocab.json ADDED
The diff for this file is too large to render. See raw diff
 
continuous/smollm2/pixio_vitl16/pretrain/config.json ADDED
@@ -0,0 +1,70 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_faster_video": false,
3
+ "add_time_instruction": false,
4
+ "architectures": [
5
+ "LlamaForCausalLM"
6
+ ],
7
+ "attention_bias": false,
8
+ "attention_dropout": 0.0,
9
+ "bos_token_id": 1,
10
+ "dtype": "bfloat16",
11
+ "eos_token_id": 2,
12
+ "faster_token_stride": 10,
13
+ "force_sample": false,
14
+ "head_dim": 64,
15
+ "hidden_act": "silu",
16
+ "hidden_size": 2048,
17
+ "image_aspect_ratio": "square",
18
+ "image_crop_resolution": null,
19
+ "image_grid_pinpoints": null,
20
+ "image_split_resolution": null,
21
+ "initializer_range": 0.02,
22
+ "intermediate_size": 8192,
23
+ "max_position_embeddings": 8192,
24
+ "mlp_bias": false,
25
+ "mm_hidden_size": 1024,
26
+ "mm_newline_position": "grid",
27
+ "mm_patch_merge_type": "flat",
28
+ "mm_projector_lr": null,
29
+ "mm_projector_type": "mlp2x_gelu",
30
+ "mm_resampler_type": null,
31
+ "mm_spatial_pool_mode": "bilinear",
32
+ "mm_spatial_pool_stride": null,
33
+ "mm_tunable_parts": "mm_mlp_adapter",
34
+ "mm_use_im_patch_token": false,
35
+ "mm_use_im_start_end": false,
36
+ "mm_vision_select_feature": "patch",
37
+ "mm_vision_select_layer": -1,
38
+ "mm_vision_tower": "vtb_ssl:pixio",
39
+ "mm_vision_tower_lr": null,
40
+ "model_type": "llama",
41
+ "num_attention_heads": 32,
42
+ "num_hidden_layers": 24,
43
+ "num_key_value_heads": 32,
44
+ "pad_token_id": 0,
45
+ "pos_skipping_range": 4096,
46
+ "pretraining_tp": 1,
47
+ "rms_norm_eps": 1e-05,
48
+ "rope_scaling": null,
49
+ "rope_theta": 130000,
50
+ "tie_word_embeddings": true,
51
+ "tokenizer_model_max_length": 8192,
52
+ "tokenizer_padding_side": "right",
53
+ "transformers.js_config": {
54
+ "dtype": "q4",
55
+ "kv_cache_dtype": {
56
+ "fp16": "float16",
57
+ "q4f16": "float16"
58
+ },
59
+ "use_external_data_format": {
60
+ "model.onnx": true,
61
+ "model_fp16.onnx": true
62
+ }
63
+ },
64
+ "transformers_version": "4.57.6",
65
+ "use_cache": true,
66
+ "use_mm_proj": true,
67
+ "use_pos_skipping": false,
68
+ "vision_tower_pretrained": "/cache/ckpt/download/tokenizer/continuous/pixio/pixio-vitl16/pixio_vitl16.pth",
69
+ "vocab_size": 49152
70
+ }
continuous/smollm2/pixio_vitl16/pretrain/mm_projector.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:65cfab115ae61b88172a17b781da6d98754d2a592f2684161c858925304260bd
3
+ size 25184312
continuous/smollm2/pixio_vitl16/pretrain/trainer_state.json ADDED
@@ -0,0 +1,421 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": null,
3
+ "best_metric": null,
4
+ "best_model_checkpoint": null,
5
+ "epoch": 1.0,
6
+ "eval_steps": 500,
7
+ "global_step": 545,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "epoch": 0.01834862385321101,
14
+ "grad_norm": 1.096426248550415,
15
+ "learning_rate": 0.00032142857142857147,
16
+ "loss": 3.6123,
17
+ "step": 10
18
+ },
19
+ {
20
+ "epoch": 0.03669724770642202,
21
+ "grad_norm": 0.33718904852867126,
22
+ "learning_rate": 0.0006785714285714287,
23
+ "loss": 3.0339,
24
+ "step": 20
25
+ },
26
+ {
27
+ "epoch": 0.05504587155963303,
28
+ "grad_norm": 0.14684957265853882,
29
+ "learning_rate": 0.0009999907688176173,
30
+ "loss": 2.8176,
31
+ "step": 30
32
+ },
33
+ {
34
+ "epoch": 0.07339449541284404,
35
+ "grad_norm": 0.10799131542444229,
36
+ "learning_rate": 0.0009988834393115766,
37
+ "loss": 2.738,
38
+ "step": 40
39
+ },
40
+ {
41
+ "epoch": 0.09174311926605505,
42
+ "grad_norm": 0.16411060094833374,
43
+ "learning_rate": 0.0009959345572940772,
44
+ "loss": 2.7026,
45
+ "step": 50
46
+ },
47
+ {
48
+ "epoch": 0.11009174311926606,
49
+ "grad_norm": 0.14127497375011444,
50
+ "learning_rate": 0.0009911550081155983,
51
+ "loss": 2.6605,
52
+ "step": 60
53
+ },
54
+ {
55
+ "epoch": 0.12844036697247707,
56
+ "grad_norm": 0.17947612702846527,
57
+ "learning_rate": 0.0009845624347566433,
58
+ "loss": 2.6314,
59
+ "step": 70
60
+ },
61
+ {
62
+ "epoch": 0.14678899082568808,
63
+ "grad_norm": 0.15908393263816833,
64
+ "learning_rate": 0.0009761811727013547,
65
+ "loss": 2.6047,
66
+ "step": 80
67
+ },
68
+ {
69
+ "epoch": 0.1651376146788991,
70
+ "grad_norm": 0.11481861770153046,
71
+ "learning_rate": 0.0009660421601067666,
72
+ "loss": 2.5763,
73
+ "step": 90
74
+ },
75
+ {
76
+ "epoch": 0.1834862385321101,
77
+ "grad_norm": 0.1679079532623291,
78
+ "learning_rate": 0.0009541828235992926,
79
+ "loss": 2.5592,
80
+ "step": 100
81
+ },
82
+ {
83
+ "epoch": 0.2018348623853211,
84
+ "grad_norm": 0.13973425328731537,
85
+ "learning_rate": 0.0009406469401200151,
86
+ "loss": 2.5368,
87
+ "step": 110
88
+ },
89
+ {
90
+ "epoch": 0.22018348623853212,
91
+ "grad_norm": 0.2251552939414978,
92
+ "learning_rate": 0.0009254844753287492,
93
+ "loss": 2.5231,
94
+ "step": 120
95
+ },
96
+ {
97
+ "epoch": 0.23853211009174313,
98
+ "grad_norm": 0.1489190310239792,
99
+ "learning_rate": 0.0009087513991633924,
100
+ "loss": 2.5028,
101
+ "step": 130
102
+ },
103
+ {
104
+ "epoch": 0.25688073394495414,
105
+ "grad_norm": 0.14935940504074097,
106
+ "learning_rate": 0.0008905094792353917,
107
+ "loss": 2.4851,
108
+ "step": 140
109
+ },
110
+ {
111
+ "epoch": 0.27522935779816515,
112
+ "grad_norm": 0.19234603643417358,
113
+ "learning_rate": 0.0008708260528239789,
114
+ "loss": 2.4852,
115
+ "step": 150
116
+ },
117
+ {
118
+ "epoch": 0.29357798165137616,
119
+ "grad_norm": 0.19304677844047546,
120
+ "learning_rate": 0.0008497737783108237,
121
+ "loss": 2.4744,
122
+ "step": 160
123
+ },
124
+ {
125
+ "epoch": 0.3119266055045872,
126
+ "grad_norm": 0.15439468622207642,
127
+ "learning_rate": 0.0008274303669726426,
128
+ "loss": 2.4692,
129
+ "step": 170
130
+ },
131
+ {
132
+ "epoch": 0.3302752293577982,
133
+ "grad_norm": 0.1540883332490921,
134
+ "learning_rate": 0.0008038782961218137,
135
+ "loss": 2.4545,
136
+ "step": 180
137
+ },
138
+ {
139
+ "epoch": 0.3486238532110092,
140
+ "grad_norm": 0.14199696481227875,
141
+ "learning_rate": 0.000779204504653894,
142
+ "loss": 2.4519,
143
+ "step": 190
144
+ },
145
+ {
146
+ "epoch": 0.3669724770642202,
147
+ "grad_norm": 0.13257333636283875,
148
+ "learning_rate": 0.0007535000721258791,
149
+ "loss": 2.4275,
150
+ "step": 200
151
+ },
152
+ {
153
+ "epoch": 0.3853211009174312,
154
+ "grad_norm": 0.15282531082630157,
155
+ "learning_rate": 0.00072685988254984,
156
+ "loss": 2.4256,
157
+ "step": 210
158
+ },
159
+ {
160
+ "epoch": 0.4036697247706422,
161
+ "grad_norm": 0.11263804137706757,
162
+ "learning_rate": 0.0006993822741429906,
163
+ "loss": 2.4334,
164
+ "step": 220
165
+ },
166
+ {
167
+ "epoch": 0.42201834862385323,
168
+ "grad_norm": 0.16033190488815308,
169
+ "learning_rate": 0.0006711686763270818,
170
+ "loss": 2.4266,
171
+ "step": 230
172
+ },
173
+ {
174
+ "epoch": 0.44036697247706424,
175
+ "grad_norm": 0.13462816178798676,
176
+ "learning_rate": 0.0006423232353170831,
177
+ "loss": 2.4177,
178
+ "step": 240
179
+ },
180
+ {
181
+ "epoch": 0.45871559633027525,
182
+ "grad_norm": 0.1293177306652069,
183
+ "learning_rate": 0.0006129524296812335,
184
+ "loss": 2.4077,
185
+ "step": 250
186
+ },
187
+ {
188
+ "epoch": 0.47706422018348627,
189
+ "grad_norm": 0.1244189515709877,
190
+ "learning_rate": 0.0005831646772915651,
191
+ "loss": 2.4157,
192
+ "step": 260
193
+ },
194
+ {
195
+ "epoch": 0.4954128440366973,
196
+ "grad_norm": 0.12268725037574768,
197
+ "learning_rate": 0.0005530699351157809,
198
+ "loss": 2.3945,
199
+ "step": 270
200
+ },
201
+ {
202
+ "epoch": 0.5137614678899083,
203
+ "grad_norm": 0.15279266238212585,
204
+ "learning_rate": 0.0005227792933277943,
205
+ "loss": 2.3994,
206
+ "step": 280
207
+ },
208
+ {
209
+ "epoch": 0.5321100917431193,
210
+ "grad_norm": 0.1324508786201477,
211
+ "learning_rate": 0.0004924045652352092,
212
+ "loss": 2.3834,
213
+ "step": 290
214
+ },
215
+ {
216
+ "epoch": 0.5504587155963303,
217
+ "grad_norm": 0.10218839347362518,
218
+ "learning_rate": 0.0004620578745374633,
219
+ "loss": 2.3852,
220
+ "step": 300
221
+ },
222
+ {
223
+ "epoch": 0.5688073394495413,
224
+ "grad_norm": 0.1411130279302597,
225
+ "learning_rate": 0.0004318512414382059,
226
+ "loss": 2.3905,
227
+ "step": 310
228
+ },
229
+ {
230
+ "epoch": 0.5871559633027523,
231
+ "grad_norm": 0.13634666800498962,
232
+ "learning_rate": 0.0004018961691397148,
233
+ "loss": 2.3921,
234
+ "step": 320
235
+ },
236
+ {
237
+ "epoch": 0.6055045871559633,
238
+ "grad_norm": 0.12079503387212753,
239
+ "learning_rate": 0.0003723032322457458,
240
+ "loss": 2.3733,
241
+ "step": 330
242
+ },
243
+ {
244
+ "epoch": 0.6238532110091743,
245
+ "grad_norm": 0.16264654695987701,
246
+ "learning_rate": 0.0003431816685921625,
247
+ "loss": 2.3803,
248
+ "step": 340
249
+ },
250
+ {
251
+ "epoch": 0.6422018348623854,
252
+ "grad_norm": 0.1294039636850357,
253
+ "learning_rate": 0.0003146389760120416,
254
+ "loss": 2.3803,
255
+ "step": 350
256
+ },
257
+ {
258
+ "epoch": 0.6605504587155964,
259
+ "grad_norm": 0.13713085651397705,
260
+ "learning_rate": 0.00028678051552373485,
261
+ "loss": 2.3819,
262
+ "step": 360
263
+ },
264
+ {
265
+ "epoch": 0.6788990825688074,
266
+ "grad_norm": 0.11647453159093857,
267
+ "learning_rate": 0.0002597091224066581,
268
+ "loss": 2.3725,
269
+ "step": 370
270
+ },
271
+ {
272
+ "epoch": 0.6972477064220184,
273
+ "grad_norm": 0.12372781336307526,
274
+ "learning_rate": 0.0002335247266004629,
275
+ "loss": 2.382,
276
+ "step": 380
277
+ },
278
+ {
279
+ "epoch": 0.7155963302752294,
280
+ "grad_norm": 0.1463586688041687,
281
+ "learning_rate": 0.000208323983828828,
282
+ "loss": 2.3667,
283
+ "step": 390
284
+ },
285
+ {
286
+ "epoch": 0.7339449541284404,
287
+ "grad_norm": 0.1358826607465744,
288
+ "learning_rate": 0.0001841999188095224,
289
+ "loss": 2.3685,
290
+ "step": 400
291
+ },
292
+ {
293
+ "epoch": 0.7522935779816514,
294
+ "grad_norm": 0.11709961295127869,
295
+ "learning_rate": 0.00016124158186777676,
296
+ "loss": 2.3642,
297
+ "step": 410
298
+ },
299
+ {
300
+ "epoch": 0.7706422018348624,
301
+ "grad_norm": 0.11689430475234985,
302
+ "learning_rate": 0.0001395337202205211,
303
+ "loss": 2.3572,
304
+ "step": 420
305
+ },
306
+ {
307
+ "epoch": 0.7889908256880734,
308
+ "grad_norm": 0.10887128859758377,
309
+ "learning_rate": 0.00011915646514489292,
310
+ "loss": 2.3626,
311
+ "step": 430
312
+ },
313
+ {
314
+ "epoch": 0.8073394495412844,
315
+ "grad_norm": 0.12256112694740295,
316
+ "learning_rate": 0.00010018503618578818,
317
+ "loss": 2.3659,
318
+ "step": 440
319
+ },
320
+ {
321
+ "epoch": 0.8256880733944955,
322
+ "grad_norm": 0.11798621714115143,
323
+ "learning_rate": 8.268946349432583e-05,
324
+ "loss": 2.365,
325
+ "step": 450
326
+ },
327
+ {
328
+ "epoch": 0.8440366972477065,
329
+ "grad_norm": 0.10974631458520889,
330
+ "learning_rate": 6.673432932217117e-05,
331
+ "loss": 2.3535,
332
+ "step": 460
333
+ },
334
+ {
335
+ "epoch": 0.8623853211009175,
336
+ "grad_norm": 0.10639877617359161,
337
+ "learning_rate": 5.2378529625954684e-05,
338
+ "loss": 2.3475,
339
+ "step": 470
340
+ },
341
+ {
342
+ "epoch": 0.8807339449541285,
343
+ "grad_norm": 0.10779585689306259,
344
+ "learning_rate": 3.9675056661785556e-05,
345
+ "loss": 2.3527,
346
+ "step": 480
347
+ },
348
+ {
349
+ "epoch": 0.8990825688073395,
350
+ "grad_norm": 0.1035502627491951,
351
+ "learning_rate": 2.8670803372379538e-05,
352
+ "loss": 2.357,
353
+ "step": 490
354
+ },
355
+ {
356
+ "epoch": 0.9174311926605505,
357
+ "grad_norm": 0.09984658658504486,
358
+ "learning_rate": 1.9406390288876586e-05,
359
+ "loss": 2.3631,
360
+ "step": 500
361
+ },
362
+ {
363
+ "epoch": 0.9357798165137615,
364
+ "grad_norm": 0.1009126529097557,
365
+ "learning_rate": 1.191601558631461e-05,
366
+ "loss": 2.3515,
367
+ "step": 510
368
+ },
369
+ {
370
+ "epoch": 0.9541284403669725,
371
+ "grad_norm": 0.10447365045547485,
372
+ "learning_rate": 6.2273288462559305e-06,
373
+ "loss": 2.3471,
374
+ "step": 520
375
+ },
376
+ {
377
+ "epoch": 0.9724770642201835,
378
+ "grad_norm": 0.10390128940343857,
379
+ "learning_rate": 2.361328992552314e-06,
380
+ "loss": 2.3474,
381
+ "step": 530
382
+ },
383
+ {
384
+ "epoch": 0.9908256880733946,
385
+ "grad_norm": 0.10711177438497543,
386
+ "learning_rate": 3.322867770044202e-07,
387
+ "loss": 2.3528,
388
+ "step": 540
389
+ },
390
+ {
391
+ "epoch": 1.0,
392
+ "step": 545,
393
+ "total_flos": 3.993424653681951e+17,
394
+ "train_loss": 2.473505681589109,
395
+ "train_runtime": 1585.2591,
396
+ "train_samples_per_second": 352.074,
397
+ "train_steps_per_second": 0.344
398
+ }
399
+ ],
400
+ "logging_steps": 10,
401
+ "max_steps": 545,
402
+ "num_input_tokens_seen": 34658176,
403
+ "num_train_epochs": 1,
404
+ "save_steps": 500,
405
+ "stateful_callbacks": {
406
+ "TrainerControl": {
407
+ "args": {
408
+ "should_epoch_stop": false,
409
+ "should_evaluate": false,
410
+ "should_log": false,
411
+ "should_save": false,
412
+ "should_training_stop": false
413
+ },
414
+ "attributes": {}
415
+ }
416
+ },
417
+ "total_flos": 3.993424653681951e+17,
418
+ "train_batch_size": 64,
419
+ "trial_name": null,
420
+ "trial_params": null
421
+ }
continuous/smollm2/raev2_dinov3l_k7/finetune/chat_template.jinja ADDED
@@ -0,0 +1,6 @@
 
 
 
 
 
 
 
1
+ {% for message in messages %}{% if loop.first and messages[0]['role'] != 'system' %}{{ '<|im_start|>system
2
+ You are a helpful AI assistant named SmolLM, trained by Hugging Face<|im_end|>
3
+ ' }}{% endif %}{{'<|im_start|>' + message['role'] + '
4
+ ' + message['content'] + '<|im_end|>' + '
5
+ '}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant
6
+ ' }}{% endif %}
continuous/smollm2/raev2_dinov3l_k7/finetune/config.json ADDED
@@ -0,0 +1,70 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_faster_video": false,
3
+ "add_time_instruction": false,
4
+ "architectures": [
5
+ "LlavaLlamaForCausalLM"
6
+ ],
7
+ "attention_bias": false,
8
+ "attention_dropout": 0.0,
9
+ "bos_token_id": 1,
10
+ "dtype": "bfloat16",
11
+ "eos_token_id": 2,
12
+ "faster_token_stride": 10,
13
+ "force_sample": false,
14
+ "head_dim": 64,
15
+ "hidden_act": "silu",
16
+ "hidden_size": 2048,
17
+ "image_aspect_ratio": "square",
18
+ "image_crop_resolution": null,
19
+ "image_grid_pinpoints": null,
20
+ "image_split_resolution": null,
21
+ "initializer_range": 0.02,
22
+ "intermediate_size": 8192,
23
+ "max_position_embeddings": 8192,
24
+ "mlp_bias": false,
25
+ "mm_hidden_size": 1024,
26
+ "mm_newline_position": "grid",
27
+ "mm_patch_merge_type": "flat",
28
+ "mm_projector_lr": 0.0001,
29
+ "mm_projector_type": "mlp2x_gelu",
30
+ "mm_resampler_type": null,
31
+ "mm_spatial_pool_mode": "bilinear",
32
+ "mm_spatial_pool_stride": null,
33
+ "mm_tunable_parts": "mm_mlp_adapter,mm_language_model",
34
+ "mm_use_im_patch_token": false,
35
+ "mm_use_im_start_end": false,
36
+ "mm_vision_select_feature": "patch",
37
+ "mm_vision_select_layer": -1,
38
+ "mm_vision_tower": "vtb_ssl:raev2",
39
+ "mm_vision_tower_lr": null,
40
+ "model_type": "llama",
41
+ "num_attention_heads": 32,
42
+ "num_hidden_layers": 24,
43
+ "num_key_value_heads": 32,
44
+ "pad_token_id": 0,
45
+ "pos_skipping_range": 4096,
46
+ "pretraining_tp": 1,
47
+ "rms_norm_eps": 1e-05,
48
+ "rope_scaling": null,
49
+ "rope_theta": 130000,
50
+ "tie_word_embeddings": true,
51
+ "tokenizer_model_max_length": 8192,
52
+ "tokenizer_padding_side": "right",
53
+ "transformers.js_config": {
54
+ "dtype": "q4",
55
+ "kv_cache_dtype": {
56
+ "fp16": "float16",
57
+ "q4f16": "float16"
58
+ },
59
+ "use_external_data_format": {
60
+ "model.onnx": true,
61
+ "model_fp16.onnx": true
62
+ }
63
+ },
64
+ "transformers_version": "4.57.6",
65
+ "use_cache": true,
66
+ "use_mm_proj": true,
67
+ "use_pos_skipping": false,
68
+ "vision_tower_pretrained": "/cache/ckpt/download/tokenizer/continuous/dinov3/dinov3_vitl16_pretrain_lvd1689m-8aa4cbdd.pth",
69
+ "vocab_size": 49152
70
+ }
continuous/smollm2/raev2_dinov3l_k7/finetune/generation_config.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_from_model_config": true,
3
+ "bos_token_id": 1,
4
+ "eos_token_id": [
5
+ 2
6
+ ],
7
+ "pad_token_id": 0,
8
+ "transformers_version": "4.57.6"
9
+ }
continuous/smollm2/raev2_dinov3l_k7/finetune/merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
continuous/smollm2/raev2_dinov3l_k7/finetune/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2304372a78ff9cf5ee1beb840f28f8f5757a3c7c50185bd9a3802733d0b809ee
3
+ size 4255786392
continuous/smollm2/raev2_dinov3l_k7/finetune/special_tokens_map.json ADDED
@@ -0,0 +1,28 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "additional_special_tokens": [
3
+ "<|im_start|>",
4
+ "<|im_end|>"
5
+ ],
6
+ "bos_token": {
7
+ "content": "<|im_start|>",
8
+ "lstrip": false,
9
+ "normalized": false,
10
+ "rstrip": false,
11
+ "single_word": false
12
+ },
13
+ "eos_token": {
14
+ "content": "<|im_end|>",
15
+ "lstrip": false,
16
+ "normalized": false,
17
+ "rstrip": false,
18
+ "single_word": false
19
+ },
20
+ "pad_token": "<|endoftext|>",
21
+ "unk_token": {
22
+ "content": "<|endoftext|>",
23
+ "lstrip": false,
24
+ "normalized": false,
25
+ "rstrip": false,
26
+ "single_word": false
27
+ }
28
+ }
continuous/smollm2/raev2_dinov3l_k7/finetune/tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
continuous/smollm2/raev2_dinov3l_k7/finetune/tokenizer_config.json ADDED
@@ -0,0 +1,155 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_prefix_space": false,
3
+ "added_tokens_decoder": {
4
+ "0": {
5
+ "content": "<|endoftext|>",
6
+ "lstrip": false,
7
+ "normalized": false,
8
+ "rstrip": false,
9
+ "single_word": false,
10
+ "special": true
11
+ },
12
+ "1": {
13
+ "content": "<|im_start|>",
14
+ "lstrip": false,
15
+ "normalized": false,
16
+ "rstrip": false,
17
+ "single_word": false,
18
+ "special": true
19
+ },
20
+ "2": {
21
+ "content": "<|im_end|>",
22
+ "lstrip": false,
23
+ "normalized": false,
24
+ "rstrip": false,
25
+ "single_word": false,
26
+ "special": true
27
+ },
28
+ "3": {
29
+ "content": "<repo_name>",
30
+ "lstrip": false,
31
+ "normalized": false,
32
+ "rstrip": false,
33
+ "single_word": false,
34
+ "special": true
35
+ },
36
+ "4": {
37
+ "content": "<reponame>",
38
+ "lstrip": false,
39
+ "normalized": false,
40
+ "rstrip": false,
41
+ "single_word": false,
42
+ "special": true
43
+ },
44
+ "5": {
45
+ "content": "<file_sep>",
46
+ "lstrip": false,
47
+ "normalized": false,
48
+ "rstrip": false,
49
+ "single_word": false,
50
+ "special": true
51
+ },
52
+ "6": {
53
+ "content": "<filename>",
54
+ "lstrip": false,
55
+ "normalized": false,
56
+ "rstrip": false,
57
+ "single_word": false,
58
+ "special": true
59
+ },
60
+ "7": {
61
+ "content": "<gh_stars>",
62
+ "lstrip": false,
63
+ "normalized": false,
64
+ "rstrip": false,
65
+ "single_word": false,
66
+ "special": true
67
+ },
68
+ "8": {
69
+ "content": "<issue_start>",
70
+ "lstrip": false,
71
+ "normalized": false,
72
+ "rstrip": false,
73
+ "single_word": false,
74
+ "special": true
75
+ },
76
+ "9": {
77
+ "content": "<issue_comment>",
78
+ "lstrip": false,
79
+ "normalized": false,
80
+ "rstrip": false,
81
+ "single_word": false,
82
+ "special": true
83
+ },
84
+ "10": {
85
+ "content": "<issue_closed>",
86
+ "lstrip": false,
87
+ "normalized": false,
88
+ "rstrip": false,
89
+ "single_word": false,
90
+ "special": true
91
+ },
92
+ "11": {
93
+ "content": "<jupyter_start>",
94
+ "lstrip": false,
95
+ "normalized": false,
96
+ "rstrip": false,
97
+ "single_word": false,
98
+ "special": true
99
+ },
100
+ "12": {
101
+ "content": "<jupyter_text>",
102
+ "lstrip": false,
103
+ "normalized": false,
104
+ "rstrip": false,
105
+ "single_word": false,
106
+ "special": true
107
+ },
108
+ "13": {
109
+ "content": "<jupyter_code>",
110
+ "lstrip": false,
111
+ "normalized": false,
112
+ "rstrip": false,
113
+ "single_word": false,
114
+ "special": true
115
+ },
116
+ "14": {
117
+ "content": "<jupyter_output>",
118
+ "lstrip": false,
119
+ "normalized": false,
120
+ "rstrip": false,
121
+ "single_word": false,
122
+ "special": true
123
+ },
124
+ "15": {
125
+ "content": "<jupyter_script>",
126
+ "lstrip": false,
127
+ "normalized": false,
128
+ "rstrip": false,
129
+ "single_word": false,
130
+ "special": true
131
+ },
132
+ "16": {
133
+ "content": "<empty_output>",
134
+ "lstrip": false,
135
+ "normalized": false,
136
+ "rstrip": false,
137
+ "single_word": false,
138
+ "special": true
139
+ }
140
+ },
141
+ "additional_special_tokens": [
142
+ "<|im_start|>",
143
+ "<|im_end|>"
144
+ ],
145
+ "bos_token": "<|im_start|>",
146
+ "clean_up_tokenization_spaces": false,
147
+ "eos_token": "<|im_end|>",
148
+ "extra_special_tokens": {},
149
+ "model_max_length": 8192,
150
+ "pad_token": "<|endoftext|>",
151
+ "padding_side": "right",
152
+ "tokenizer_class": "GPT2Tokenizer",
153
+ "unk_token": "<|endoftext|>",
154
+ "vocab_size": 49152
155
+ }
continuous/smollm2/raev2_dinov3l_k7/finetune/trainer_state.json ADDED
@@ -0,0 +1,1856 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": null,
3
+ "best_metric": null,
4
+ "best_model_checkpoint": null,
5
+ "epoch": 1.0,
6
+ "eval_steps": 500,
7
+ "global_step": 2597,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "epoch": 0.003850596842510589,
14
+ "grad_norm": 2.954547166824341,
15
+ "learning_rate": 1.153846153846154e-06,
16
+ "loss": 1.2394,
17
+ "step": 10
18
+ },
19
+ {
20
+ "epoch": 0.007701193685021178,
21
+ "grad_norm": 2.0831661224365234,
22
+ "learning_rate": 2.435897435897436e-06,
23
+ "loss": 1.1262,
24
+ "step": 20
25
+ },
26
+ {
27
+ "epoch": 0.011551790527531768,
28
+ "grad_norm": 1.976538896560669,
29
+ "learning_rate": 3.7179487179487184e-06,
30
+ "loss": 1.0196,
31
+ "step": 30
32
+ },
33
+ {
34
+ "epoch": 0.015402387370042356,
35
+ "grad_norm": 1.3725855350494385,
36
+ "learning_rate": 5e-06,
37
+ "loss": 0.9773,
38
+ "step": 40
39
+ },
40
+ {
41
+ "epoch": 0.019252984212552945,
42
+ "grad_norm": 1.309304118156433,
43
+ "learning_rate": 6.282051282051282e-06,
44
+ "loss": 0.9637,
45
+ "step": 50
46
+ },
47
+ {
48
+ "epoch": 0.023103581055063535,
49
+ "grad_norm": 0.3328838050365448,
50
+ "learning_rate": 7.564102564102564e-06,
51
+ "loss": 0.8964,
52
+ "step": 60
53
+ },
54
+ {
55
+ "epoch": 0.026954177897574125,
56
+ "grad_norm": 0.246844083070755,
57
+ "learning_rate": 8.846153846153847e-06,
58
+ "loss": 0.8509,
59
+ "step": 70
60
+ },
61
+ {
62
+ "epoch": 0.030804774740084712,
63
+ "grad_norm": 0.24739111959934235,
64
+ "learning_rate": 9.999996111488723e-06,
65
+ "loss": 0.8654,
66
+ "step": 80
67
+ },
68
+ {
69
+ "epoch": 0.0346553715825953,
70
+ "grad_norm": 0.2380608171224594,
71
+ "learning_rate": 9.999529497453782e-06,
72
+ "loss": 0.8515,
73
+ "step": 90
74
+ },
75
+ {
76
+ "epoch": 0.03850596842510589,
77
+ "grad_norm": 0.24368219077587128,
78
+ "learning_rate": 9.998285264324193e-06,
79
+ "loss": 0.8214,
80
+ "step": 100
81
+ },
82
+ {
83
+ "epoch": 0.04235656526761648,
84
+ "grad_norm": 0.21397416293621063,
85
+ "learning_rate": 9.996263605626052e-06,
86
+ "loss": 0.811,
87
+ "step": 110
88
+ },
89
+ {
90
+ "epoch": 0.04620716211012707,
91
+ "grad_norm": 0.2432362139225006,
92
+ "learning_rate": 9.99346483580503e-06,
93
+ "loss": 0.8311,
94
+ "step": 120
95
+ },
96
+ {
97
+ "epoch": 0.05005775895263766,
98
+ "grad_norm": 0.2558920681476593,
99
+ "learning_rate": 9.989889390177467e-06,
100
+ "loss": 0.8092,
101
+ "step": 130
102
+ },
103
+ {
104
+ "epoch": 0.05390835579514825,
105
+ "grad_norm": 0.2328040599822998,
106
+ "learning_rate": 9.985537824862647e-06,
107
+ "loss": 0.8216,
108
+ "step": 140
109
+ },
110
+ {
111
+ "epoch": 0.05775895263765884,
112
+ "grad_norm": 0.24053797125816345,
113
+ "learning_rate": 9.980410816696317e-06,
114
+ "loss": 0.7996,
115
+ "step": 150
116
+ },
117
+ {
118
+ "epoch": 0.061609549480169425,
119
+ "grad_norm": 0.22425854206085205,
120
+ "learning_rate": 9.97450916312541e-06,
121
+ "loss": 0.8045,
122
+ "step": 160
123
+ },
124
+ {
125
+ "epoch": 0.06546014632268002,
126
+ "grad_norm": 0.19072578847408295,
127
+ "learning_rate": 9.967833782084004e-06,
128
+ "loss": 0.8052,
129
+ "step": 170
130
+ },
131
+ {
132
+ "epoch": 0.0693107431651906,
133
+ "grad_norm": 0.22340035438537598,
134
+ "learning_rate": 9.960385711850554e-06,
135
+ "loss": 0.8383,
136
+ "step": 180
137
+ },
138
+ {
139
+ "epoch": 0.07316134000770119,
140
+ "grad_norm": 0.2171221673488617,
141
+ "learning_rate": 9.952166110886394e-06,
142
+ "loss": 0.8246,
143
+ "step": 190
144
+ },
145
+ {
146
+ "epoch": 0.07701193685021178,
147
+ "grad_norm": 0.2514216899871826,
148
+ "learning_rate": 9.943176257655567e-06,
149
+ "loss": 0.8233,
150
+ "step": 200
151
+ },
152
+ {
153
+ "epoch": 0.08086253369272237,
154
+ "grad_norm": 0.22863326966762543,
155
+ "learning_rate": 9.933417550425952e-06,
156
+ "loss": 0.8089,
157
+ "step": 210
158
+ },
159
+ {
160
+ "epoch": 0.08471313053523297,
161
+ "grad_norm": 0.2109300047159195,
162
+ "learning_rate": 9.9228915070518e-06,
163
+ "loss": 0.801,
164
+ "step": 220
165
+ },
166
+ {
167
+ "epoch": 0.08856372737774355,
168
+ "grad_norm": 0.2109443098306656,
169
+ "learning_rate": 9.911599764737632e-06,
170
+ "loss": 0.797,
171
+ "step": 230
172
+ },
173
+ {
174
+ "epoch": 0.09241432422025414,
175
+ "grad_norm": 0.20811855792999268,
176
+ "learning_rate": 9.899544079783606e-06,
177
+ "loss": 0.7907,
178
+ "step": 240
179
+ },
180
+ {
181
+ "epoch": 0.09626492106276473,
182
+ "grad_norm": 0.21368128061294556,
183
+ "learning_rate": 9.886726327312338e-06,
184
+ "loss": 0.8068,
185
+ "step": 250
186
+ },
187
+ {
188
+ "epoch": 0.10011551790527531,
189
+ "grad_norm": 0.19446691870689392,
190
+ "learning_rate": 9.87314850097724e-06,
191
+ "loss": 0.8062,
192
+ "step": 260
193
+ },
194
+ {
195
+ "epoch": 0.1039661147477859,
196
+ "grad_norm": 0.2270815372467041,
197
+ "learning_rate": 9.858812712652452e-06,
198
+ "loss": 0.7879,
199
+ "step": 270
200
+ },
201
+ {
202
+ "epoch": 0.1078167115902965,
203
+ "grad_norm": 0.1880757212638855,
204
+ "learning_rate": 9.843721192104341e-06,
205
+ "loss": 0.7867,
206
+ "step": 280
207
+ },
208
+ {
209
+ "epoch": 0.11166730843280709,
210
+ "grad_norm": 0.2506421208381653,
211
+ "learning_rate": 9.827876286644698e-06,
212
+ "loss": 0.8176,
213
+ "step": 290
214
+ },
215
+ {
216
+ "epoch": 0.11551790527531768,
217
+ "grad_norm": 0.19100311398506165,
218
+ "learning_rate": 9.811280460765643e-06,
219
+ "loss": 0.7757,
220
+ "step": 300
221
+ },
222
+ {
223
+ "epoch": 0.11936850211782826,
224
+ "grad_norm": 0.19898812472820282,
225
+ "learning_rate": 9.793936295756292e-06,
226
+ "loss": 0.7813,
227
+ "step": 310
228
+ },
229
+ {
230
+ "epoch": 0.12321909896033885,
231
+ "grad_norm": 0.21003620326519012,
232
+ "learning_rate": 9.775846489301279e-06,
233
+ "loss": 0.7893,
234
+ "step": 320
235
+ },
236
+ {
237
+ "epoch": 0.12706969580284944,
238
+ "grad_norm": 0.22050200402736664,
239
+ "learning_rate": 9.757013855061157e-06,
240
+ "loss": 0.7926,
241
+ "step": 330
242
+ },
243
+ {
244
+ "epoch": 0.13092029264536004,
245
+ "grad_norm": 0.2003398984670639,
246
+ "learning_rate": 9.737441322234758e-06,
247
+ "loss": 0.7945,
248
+ "step": 340
249
+ },
250
+ {
251
+ "epoch": 0.1347708894878706,
252
+ "grad_norm": 0.20439422130584717,
253
+ "learning_rate": 9.717131935103605e-06,
254
+ "loss": 0.8007,
255
+ "step": 350
256
+ },
257
+ {
258
+ "epoch": 0.1386214863303812,
259
+ "grad_norm": 0.2010100930929184,
260
+ "learning_rate": 9.696088852558398e-06,
261
+ "loss": 0.7809,
262
+ "step": 360
263
+ },
264
+ {
265
+ "epoch": 0.1424720831728918,
266
+ "grad_norm": 0.23359762132167816,
267
+ "learning_rate": 9.674315347607686e-06,
268
+ "loss": 0.8086,
269
+ "step": 370
270
+ },
271
+ {
272
+ "epoch": 0.14632268001540238,
273
+ "grad_norm": 0.21425959467887878,
274
+ "learning_rate": 9.651814806868796e-06,
275
+ "loss": 0.7741,
276
+ "step": 380
277
+ },
278
+ {
279
+ "epoch": 0.15017327685791299,
280
+ "grad_norm": 0.21110711991786957,
281
+ "learning_rate": 9.62859073004107e-06,
282
+ "loss": 0.7781,
283
+ "step": 390
284
+ },
285
+ {
286
+ "epoch": 0.15402387370042356,
287
+ "grad_norm": 0.1827540099620819,
288
+ "learning_rate": 9.604646729361547e-06,
289
+ "loss": 0.7864,
290
+ "step": 400
291
+ },
292
+ {
293
+ "epoch": 0.15787447054293416,
294
+ "grad_norm": 0.21561215817928314,
295
+ "learning_rate": 9.579986529043099e-06,
296
+ "loss": 0.7832,
297
+ "step": 410
298
+ },
299
+ {
300
+ "epoch": 0.16172506738544473,
301
+ "grad_norm": 0.19161348044872284,
302
+ "learning_rate": 9.554613964695189e-06,
303
+ "loss": 0.796,
304
+ "step": 420
305
+ },
306
+ {
307
+ "epoch": 0.16557566422795533,
308
+ "grad_norm": 0.19406571984291077,
309
+ "learning_rate": 9.528532982727281e-06,
310
+ "loss": 0.7759,
311
+ "step": 430
312
+ },
313
+ {
314
+ "epoch": 0.16942626107046593,
315
+ "grad_norm": 0.2127610296010971,
316
+ "learning_rate": 9.501747639735018e-06,
317
+ "loss": 0.7846,
318
+ "step": 440
319
+ },
320
+ {
321
+ "epoch": 0.1732768579129765,
322
+ "grad_norm": 0.19608131051063538,
323
+ "learning_rate": 9.474262101869272e-06,
324
+ "loss": 0.7689,
325
+ "step": 450
326
+ },
327
+ {
328
+ "epoch": 0.1771274547554871,
329
+ "grad_norm": 0.2127477377653122,
330
+ "learning_rate": 9.446080644188141e-06,
331
+ "loss": 0.7781,
332
+ "step": 460
333
+ },
334
+ {
335
+ "epoch": 0.18097805159799768,
336
+ "grad_norm": 0.21043333411216736,
337
+ "learning_rate": 9.417207649992017e-06,
338
+ "loss": 0.7815,
339
+ "step": 470
340
+ },
341
+ {
342
+ "epoch": 0.18482864844050828,
343
+ "grad_norm": 0.2147616297006607,
344
+ "learning_rate": 9.387647610141816e-06,
345
+ "loss": 0.7817,
346
+ "step": 480
347
+ },
348
+ {
349
+ "epoch": 0.18867924528301888,
350
+ "grad_norm": 0.19727034866809845,
351
+ "learning_rate": 9.35740512236047e-06,
352
+ "loss": 0.7739,
353
+ "step": 490
354
+ },
355
+ {
356
+ "epoch": 0.19252984212552945,
357
+ "grad_norm": 0.19619983434677124,
358
+ "learning_rate": 9.326484890517809e-06,
359
+ "loss": 0.7763,
360
+ "step": 500
361
+ },
362
+ {
363
+ "epoch": 0.19638043896804006,
364
+ "grad_norm": 0.19946476817131042,
365
+ "learning_rate": 9.294891723898926e-06,
366
+ "loss": 0.767,
367
+ "step": 510
368
+ },
369
+ {
370
+ "epoch": 0.20023103581055063,
371
+ "grad_norm": 0.19589495658874512,
372
+ "learning_rate": 9.262630536456153e-06,
373
+ "loss": 0.791,
374
+ "step": 520
375
+ },
376
+ {
377
+ "epoch": 0.20408163265306123,
378
+ "grad_norm": 0.20786383748054504,
379
+ "learning_rate": 9.229706346044749e-06,
380
+ "loss": 0.7748,
381
+ "step": 530
382
+ },
383
+ {
384
+ "epoch": 0.2079322294955718,
385
+ "grad_norm": 0.2004801332950592,
386
+ "learning_rate": 9.196124273642422e-06,
387
+ "loss": 0.784,
388
+ "step": 540
389
+ },
390
+ {
391
+ "epoch": 0.2117828263380824,
392
+ "grad_norm": 0.19886140525341034,
393
+ "learning_rate": 9.161889542552842e-06,
394
+ "loss": 0.7881,
395
+ "step": 550
396
+ },
397
+ {
398
+ "epoch": 0.215633423180593,
399
+ "grad_norm": 0.2037493884563446,
400
+ "learning_rate": 9.127007477593193e-06,
401
+ "loss": 0.7925,
402
+ "step": 560
403
+ },
404
+ {
405
+ "epoch": 0.21948402002310358,
406
+ "grad_norm": 0.2230839729309082,
407
+ "learning_rate": 9.091483504265974e-06,
408
+ "loss": 0.8079,
409
+ "step": 570
410
+ },
411
+ {
412
+ "epoch": 0.22333461686561418,
413
+ "grad_norm": 0.2144739180803299,
414
+ "learning_rate": 9.055323147915116e-06,
415
+ "loss": 0.7734,
416
+ "step": 580
417
+ },
418
+ {
419
+ "epoch": 0.22718521370812475,
420
+ "grad_norm": 0.1913282573223114,
421
+ "learning_rate": 9.018532032866585e-06,
422
+ "loss": 0.7908,
423
+ "step": 590
424
+ },
425
+ {
426
+ "epoch": 0.23103581055063535,
427
+ "grad_norm": 0.1774798482656479,
428
+ "learning_rate": 8.981115881553579e-06,
429
+ "loss": 0.7875,
430
+ "step": 600
431
+ },
432
+ {
433
+ "epoch": 0.23488640739314592,
434
+ "grad_norm": 0.21069231629371643,
435
+ "learning_rate": 8.943080513626476e-06,
436
+ "loss": 0.8046,
437
+ "step": 610
438
+ },
439
+ {
440
+ "epoch": 0.23873700423565652,
441
+ "grad_norm": 0.18599620461463928,
442
+ "learning_rate": 8.904431845047641e-06,
443
+ "loss": 0.7831,
444
+ "step": 620
445
+ },
446
+ {
447
+ "epoch": 0.24258760107816713,
448
+ "grad_norm": 0.1951078623533249,
449
+ "learning_rate": 8.86517588717128e-06,
450
+ "loss": 0.7949,
451
+ "step": 630
452
+ },
453
+ {
454
+ "epoch": 0.2464381979206777,
455
+ "grad_norm": 0.2051336020231247,
456
+ "learning_rate": 8.82531874580844e-06,
457
+ "loss": 0.791,
458
+ "step": 640
459
+ },
460
+ {
461
+ "epoch": 0.25028879476318827,
462
+ "grad_norm": 0.1838366687297821,
463
+ "learning_rate": 8.784866620277314e-06,
464
+ "loss": 0.7522,
465
+ "step": 650
466
+ },
467
+ {
468
+ "epoch": 0.25413939160569887,
469
+ "grad_norm": 0.21118885278701782,
470
+ "learning_rate": 8.743825802439018e-06,
471
+ "loss": 0.7808,
472
+ "step": 660
473
+ },
474
+ {
475
+ "epoch": 0.2579899884482095,
476
+ "grad_norm": 0.19653639197349548,
477
+ "learning_rate": 8.702202675718956e-06,
478
+ "loss": 0.787,
479
+ "step": 670
480
+ },
481
+ {
482
+ "epoch": 0.2618405852907201,
483
+ "grad_norm": 0.18825297057628632,
484
+ "learning_rate": 8.660003714113959e-06,
485
+ "loss": 0.7705,
486
+ "step": 680
487
+ },
488
+ {
489
+ "epoch": 0.2656911821332307,
490
+ "grad_norm": 0.18505826592445374,
491
+ "learning_rate": 8.617235481185323e-06,
492
+ "loss": 0.7811,
493
+ "step": 690
494
+ },
495
+ {
496
+ "epoch": 0.2695417789757412,
497
+ "grad_norm": 0.20393548905849457,
498
+ "learning_rate": 8.573904629037931e-06,
499
+ "loss": 0.7924,
500
+ "step": 700
501
+ },
502
+ {
503
+ "epoch": 0.2733923758182518,
504
+ "grad_norm": 0.18490861356258392,
505
+ "learning_rate": 8.530017897285585e-06,
506
+ "loss": 0.7725,
507
+ "step": 710
508
+ },
509
+ {
510
+ "epoch": 0.2772429726607624,
511
+ "grad_norm": 0.1949712336063385,
512
+ "learning_rate": 8.485582112002746e-06,
513
+ "loss": 0.7734,
514
+ "step": 720
515
+ },
516
+ {
517
+ "epoch": 0.281093569503273,
518
+ "grad_norm": 0.18565775454044342,
519
+ "learning_rate": 8.440604184662811e-06,
520
+ "loss": 0.7849,
521
+ "step": 730
522
+ },
523
+ {
524
+ "epoch": 0.2849441663457836,
525
+ "grad_norm": 0.20765312016010284,
526
+ "learning_rate": 8.395091111063118e-06,
527
+ "loss": 0.77,
528
+ "step": 740
529
+ },
530
+ {
531
+ "epoch": 0.28879476318829417,
532
+ "grad_norm": 0.17534902691841125,
533
+ "learning_rate": 8.349049970236822e-06,
534
+ "loss": 0.7662,
535
+ "step": 750
536
+ },
537
+ {
538
+ "epoch": 0.29264536003080477,
539
+ "grad_norm": 0.19781285524368286,
540
+ "learning_rate": 8.302487923351842e-06,
541
+ "loss": 0.7636,
542
+ "step": 760
543
+ },
544
+ {
545
+ "epoch": 0.29649595687331537,
546
+ "grad_norm": 0.18643225729465485,
547
+ "learning_rate": 8.255412212597021e-06,
548
+ "loss": 0.7825,
549
+ "step": 770
550
+ },
551
+ {
552
+ "epoch": 0.30034655371582597,
553
+ "grad_norm": 0.19403910636901855,
554
+ "learning_rate": 8.207830160055688e-06,
555
+ "loss": 0.7764,
556
+ "step": 780
557
+ },
558
+ {
559
+ "epoch": 0.3041971505583365,
560
+ "grad_norm": 0.18876783549785614,
561
+ "learning_rate": 8.159749166566786e-06,
562
+ "loss": 0.7616,
563
+ "step": 790
564
+ },
565
+ {
566
+ "epoch": 0.3080477474008471,
567
+ "grad_norm": 0.18348202109336853,
568
+ "learning_rate": 8.11117671057377e-06,
569
+ "loss": 0.783,
570
+ "step": 800
571
+ },
572
+ {
573
+ "epoch": 0.3118983442433577,
574
+ "grad_norm": 0.19203011691570282,
575
+ "learning_rate": 8.062120346961404e-06,
576
+ "loss": 0.782,
577
+ "step": 810
578
+ },
579
+ {
580
+ "epoch": 0.3157489410858683,
581
+ "grad_norm": 0.18756549060344696,
582
+ "learning_rate": 8.012587705880705e-06,
583
+ "loss": 0.7785,
584
+ "step": 820
585
+ },
586
+ {
587
+ "epoch": 0.3195995379283789,
588
+ "grad_norm": 0.18729493021965027,
589
+ "learning_rate": 7.962586491562146e-06,
590
+ "loss": 0.7655,
591
+ "step": 830
592
+ },
593
+ {
594
+ "epoch": 0.32345013477088946,
595
+ "grad_norm": 0.18534612655639648,
596
+ "learning_rate": 7.912124481117357e-06,
597
+ "loss": 0.7643,
598
+ "step": 840
599
+ },
600
+ {
601
+ "epoch": 0.32730073161340006,
602
+ "grad_norm": 0.1790601909160614,
603
+ "learning_rate": 7.861209523329494e-06,
604
+ "loss": 0.7733,
605
+ "step": 850
606
+ },
607
+ {
608
+ "epoch": 0.33115132845591067,
609
+ "grad_norm": 0.19845223426818848,
610
+ "learning_rate": 7.809849537432432e-06,
611
+ "loss": 0.7673,
612
+ "step": 860
613
+ },
614
+ {
615
+ "epoch": 0.33500192529842127,
616
+ "grad_norm": 0.174737811088562,
617
+ "learning_rate": 7.758052511879035e-06,
618
+ "loss": 0.7693,
619
+ "step": 870
620
+ },
621
+ {
622
+ "epoch": 0.33885252214093187,
623
+ "grad_norm": 0.18884940445423126,
624
+ "learning_rate": 7.705826503098642e-06,
625
+ "loss": 0.7729,
626
+ "step": 880
627
+ },
628
+ {
629
+ "epoch": 0.3427031189834424,
630
+ "grad_norm": 0.19846826791763306,
631
+ "learning_rate": 7.653179634243979e-06,
632
+ "loss": 0.7655,
633
+ "step": 890
634
+ },
635
+ {
636
+ "epoch": 0.346553715825953,
637
+ "grad_norm": 0.17654140293598175,
638
+ "learning_rate": 7.600120093927696e-06,
639
+ "loss": 0.7694,
640
+ "step": 900
641
+ },
642
+ {
643
+ "epoch": 0.3504043126684636,
644
+ "grad_norm": 0.21502602100372314,
645
+ "learning_rate": 7.546656134948729e-06,
646
+ "loss": 0.7594,
647
+ "step": 910
648
+ },
649
+ {
650
+ "epoch": 0.3542549095109742,
651
+ "grad_norm": 0.17745228111743927,
652
+ "learning_rate": 7.492796073008661e-06,
653
+ "loss": 0.765,
654
+ "step": 920
655
+ },
656
+ {
657
+ "epoch": 0.3581055063534848,
658
+ "grad_norm": 0.20464031398296356,
659
+ "learning_rate": 7.438548285418326e-06,
660
+ "loss": 0.7468,
661
+ "step": 930
662
+ },
663
+ {
664
+ "epoch": 0.36195610319599536,
665
+ "grad_norm": 0.19825781881809235,
666
+ "learning_rate": 7.3839212097948e-06,
667
+ "loss": 0.7775,
668
+ "step": 940
669
+ },
670
+ {
671
+ "epoch": 0.36580670003850596,
672
+ "grad_norm": 0.19479665160179138,
673
+ "learning_rate": 7.328923342749039e-06,
674
+ "loss": 0.7938,
675
+ "step": 950
676
+ },
677
+ {
678
+ "epoch": 0.36965729688101656,
679
+ "grad_norm": 0.18771009147167206,
680
+ "learning_rate": 7.273563238564319e-06,
681
+ "loss": 0.7888,
682
+ "step": 960
683
+ },
684
+ {
685
+ "epoch": 0.37350789372352716,
686
+ "grad_norm": 0.20115871727466583,
687
+ "learning_rate": 7.217849507865724e-06,
688
+ "loss": 0.7592,
689
+ "step": 970
690
+ },
691
+ {
692
+ "epoch": 0.37735849056603776,
693
+ "grad_norm": 0.18724098801612854,
694
+ "learning_rate": 7.161790816280858e-06,
695
+ "loss": 0.7669,
696
+ "step": 980
697
+ },
698
+ {
699
+ "epoch": 0.3812090874085483,
700
+ "grad_norm": 0.19085440039634705,
701
+ "learning_rate": 7.1053958830920125e-06,
702
+ "loss": 0.7572,
703
+ "step": 990
704
+ },
705
+ {
706
+ "epoch": 0.3850596842510589,
707
+ "grad_norm": 0.19080868363380432,
708
+ "learning_rate": 7.0486734798799715e-06,
709
+ "loss": 0.7663,
710
+ "step": 1000
711
+ },
712
+ {
713
+ "epoch": 0.3889102810935695,
714
+ "grad_norm": 0.18496476113796234,
715
+ "learning_rate": 6.991632429159708e-06,
716
+ "loss": 0.7857,
717
+ "step": 1010
718
+ },
719
+ {
720
+ "epoch": 0.3927608779360801,
721
+ "grad_norm": 0.2036052793264389,
722
+ "learning_rate": 6.934281603008132e-06,
723
+ "loss": 0.785,
724
+ "step": 1020
725
+ },
726
+ {
727
+ "epoch": 0.39661147477859066,
728
+ "grad_norm": 0.17750178277492523,
729
+ "learning_rate": 6.876629921684143e-06,
730
+ "loss": 0.7821,
731
+ "step": 1030
732
+ },
733
+ {
734
+ "epoch": 0.40046207162110126,
735
+ "grad_norm": 0.19852504134178162,
736
+ "learning_rate": 6.818686352241199e-06,
737
+ "loss": 0.7693,
738
+ "step": 1040
739
+ },
740
+ {
741
+ "epoch": 0.40431266846361186,
742
+ "grad_norm": 0.17266225814819336,
743
+ "learning_rate": 6.760459907132573e-06,
744
+ "loss": 0.7651,
745
+ "step": 1050
746
+ },
747
+ {
748
+ "epoch": 0.40816326530612246,
749
+ "grad_norm": 0.17259468138217926,
750
+ "learning_rate": 6.701959642809589e-06,
751
+ "loss": 0.7708,
752
+ "step": 1060
753
+ },
754
+ {
755
+ "epoch": 0.41201386214863306,
756
+ "grad_norm": 0.19642455875873566,
757
+ "learning_rate": 6.643194658312987e-06,
758
+ "loss": 0.7634,
759
+ "step": 1070
760
+ },
761
+ {
762
+ "epoch": 0.4158644589911436,
763
+ "grad_norm": 0.17344848811626434,
764
+ "learning_rate": 6.584174093857676e-06,
765
+ "loss": 0.7885,
766
+ "step": 1080
767
+ },
768
+ {
769
+ "epoch": 0.4197150558336542,
770
+ "grad_norm": 0.21199190616607666,
771
+ "learning_rate": 6.5249071294110735e-06,
772
+ "loss": 0.7699,
773
+ "step": 1090
774
+ },
775
+ {
776
+ "epoch": 0.4235656526761648,
777
+ "grad_norm": 0.1924418956041336,
778
+ "learning_rate": 6.465402983265274e-06,
779
+ "loss": 0.7824,
780
+ "step": 1100
781
+ },
782
+ {
783
+ "epoch": 0.4274162495186754,
784
+ "grad_norm": 0.20350179076194763,
785
+ "learning_rate": 6.405670910603243e-06,
786
+ "loss": 0.7749,
787
+ "step": 1110
788
+ },
789
+ {
790
+ "epoch": 0.431266846361186,
791
+ "grad_norm": 0.21452289819717407,
792
+ "learning_rate": 6.345720202059291e-06,
793
+ "loss": 0.7728,
794
+ "step": 1120
795
+ },
796
+ {
797
+ "epoch": 0.43511744320369655,
798
+ "grad_norm": 0.20149412751197815,
799
+ "learning_rate": 6.285560182274008e-06,
800
+ "loss": 0.7533,
801
+ "step": 1130
802
+ },
803
+ {
804
+ "epoch": 0.43896804004620715,
805
+ "grad_norm": 0.21176432073116302,
806
+ "learning_rate": 6.225200208443936e-06,
807
+ "loss": 0.7776,
808
+ "step": 1140
809
+ },
810
+ {
811
+ "epoch": 0.44281863688871775,
812
+ "grad_norm": 0.1842949241399765,
813
+ "learning_rate": 6.16464966886616e-06,
814
+ "loss": 0.763,
815
+ "step": 1150
816
+ },
817
+ {
818
+ "epoch": 0.44666923373122835,
819
+ "grad_norm": 0.21929660439491272,
820
+ "learning_rate": 6.103917981478065e-06,
821
+ "loss": 0.7915,
822
+ "step": 1160
823
+ },
824
+ {
825
+ "epoch": 0.45051983057373896,
826
+ "grad_norm": 0.17827005684375763,
827
+ "learning_rate": 6.043014592392489e-06,
828
+ "loss": 0.7984,
829
+ "step": 1170
830
+ },
831
+ {
832
+ "epoch": 0.4543704274162495,
833
+ "grad_norm": 0.18410000205039978,
834
+ "learning_rate": 5.981948974428485e-06,
835
+ "loss": 0.7784,
836
+ "step": 1180
837
+ },
838
+ {
839
+ "epoch": 0.4582210242587601,
840
+ "grad_norm": 0.17994681000709534,
841
+ "learning_rate": 5.920730625637934e-06,
842
+ "loss": 0.7569,
843
+ "step": 1190
844
+ },
845
+ {
846
+ "epoch": 0.4620716211012707,
847
+ "grad_norm": 0.1948460340499878,
848
+ "learning_rate": 5.8593690678282355e-06,
849
+ "loss": 0.7631,
850
+ "step": 1200
851
+ },
852
+ {
853
+ "epoch": 0.4659222179437813,
854
+ "grad_norm": 0.18185901641845703,
855
+ "learning_rate": 5.797873845081301e-06,
856
+ "loss": 0.7614,
857
+ "step": 1210
858
+ },
859
+ {
860
+ "epoch": 0.46977281478629185,
861
+ "grad_norm": 0.18849077820777893,
862
+ "learning_rate": 5.736254522269075e-06,
863
+ "loss": 0.7874,
864
+ "step": 1220
865
+ },
866
+ {
867
+ "epoch": 0.47362341162880245,
868
+ "grad_norm": 0.18003647029399872,
869
+ "learning_rate": 5.6745206835658386e-06,
870
+ "loss": 0.7816,
871
+ "step": 1230
872
+ },
873
+ {
874
+ "epoch": 0.47747400847131305,
875
+ "grad_norm": 0.18281781673431396,
876
+ "learning_rate": 5.612681930957495e-06,
877
+ "loss": 0.7601,
878
+ "step": 1240
879
+ },
880
+ {
881
+ "epoch": 0.48132460531382365,
882
+ "grad_norm": 0.18688562512397766,
883
+ "learning_rate": 5.550747882748095e-06,
884
+ "loss": 0.7551,
885
+ "step": 1250
886
+ },
887
+ {
888
+ "epoch": 0.48517520215633425,
889
+ "grad_norm": 0.20176294445991516,
890
+ "learning_rate": 5.4887281720638195e-06,
891
+ "loss": 0.7665,
892
+ "step": 1260
893
+ },
894
+ {
895
+ "epoch": 0.4890257989988448,
896
+ "grad_norm": 0.19754399359226227,
897
+ "learning_rate": 5.42663244535466e-06,
898
+ "loss": 0.7467,
899
+ "step": 1270
900
+ },
901
+ {
902
+ "epoch": 0.4928763958413554,
903
+ "grad_norm": 0.19258347153663635,
904
+ "learning_rate": 5.3644703608940205e-06,
905
+ "loss": 0.7609,
906
+ "step": 1280
907
+ },
908
+ {
909
+ "epoch": 0.496726992683866,
910
+ "grad_norm": 0.17236360907554626,
911
+ "learning_rate": 5.302251587276491e-06,
912
+ "loss": 0.7734,
913
+ "step": 1290
914
+ },
915
+ {
916
+ "epoch": 0.5005775895263765,
917
+ "grad_norm": 0.20026610791683197,
918
+ "learning_rate": 5.2399858019140005e-06,
919
+ "loss": 0.7638,
920
+ "step": 1300
921
+ },
922
+ {
923
+ "epoch": 0.5044281863688872,
924
+ "grad_norm": 0.19646453857421875,
925
+ "learning_rate": 5.177682689530615e-06,
926
+ "loss": 0.7806,
927
+ "step": 1310
928
+ },
929
+ {
930
+ "epoch": 0.5082787832113977,
931
+ "grad_norm": 0.19520826637744904,
932
+ "learning_rate": 5.11535194065619e-06,
933
+ "loss": 0.7542,
934
+ "step": 1320
935
+ },
936
+ {
937
+ "epoch": 0.5121293800539084,
938
+ "grad_norm": 0.19088417291641235,
939
+ "learning_rate": 5.053003250119113e-06,
940
+ "loss": 0.7628,
941
+ "step": 1330
942
+ },
943
+ {
944
+ "epoch": 0.515979976896419,
945
+ "grad_norm": 0.20587430894374847,
946
+ "learning_rate": 4.9906463155383925e-06,
947
+ "loss": 0.7667,
948
+ "step": 1340
949
+ },
950
+ {
951
+ "epoch": 0.5198305737389295,
952
+ "grad_norm": 0.19371424615383148,
953
+ "learning_rate": 4.9282908358153046e-06,
954
+ "loss": 0.763,
955
+ "step": 1350
956
+ },
957
+ {
958
+ "epoch": 0.5236811705814401,
959
+ "grad_norm": 0.20430268347263336,
960
+ "learning_rate": 4.8659465096248345e-06,
961
+ "loss": 0.7812,
962
+ "step": 1360
963
+ },
964
+ {
965
+ "epoch": 0.5275317674239507,
966
+ "grad_norm": 0.1882283240556717,
967
+ "learning_rate": 4.803623033907169e-06,
968
+ "loss": 0.7749,
969
+ "step": 1370
970
+ },
971
+ {
972
+ "epoch": 0.5313823642664613,
973
+ "grad_norm": 0.18142394721508026,
974
+ "learning_rate": 4.741330102359441e-06,
975
+ "loss": 0.7861,
976
+ "step": 1380
977
+ },
978
+ {
979
+ "epoch": 0.5352329611089719,
980
+ "grad_norm": 0.1980973482131958,
981
+ "learning_rate": 4.679077403927996e-06,
982
+ "loss": 0.7625,
983
+ "step": 1390
984
+ },
985
+ {
986
+ "epoch": 0.5390835579514824,
987
+ "grad_norm": 0.1876683533191681,
988
+ "learning_rate": 4.616874621301373e-06,
989
+ "loss": 0.7626,
990
+ "step": 1400
991
+ },
992
+ {
993
+ "epoch": 0.5429341547939931,
994
+ "grad_norm": 0.20149728655815125,
995
+ "learning_rate": 4.554731429404293e-06,
996
+ "loss": 0.7798,
997
+ "step": 1410
998
+ },
999
+ {
1000
+ "epoch": 0.5467847516365036,
1001
+ "grad_norm": 0.20711956918239594,
1002
+ "learning_rate": 4.492657493892822e-06,
1003
+ "loss": 0.7658,
1004
+ "step": 1420
1005
+ },
1006
+ {
1007
+ "epoch": 0.5506353484790143,
1008
+ "grad_norm": 0.20552577078342438,
1009
+ "learning_rate": 4.430662469650999e-06,
1010
+ "loss": 0.7781,
1011
+ "step": 1430
1012
+ },
1013
+ {
1014
+ "epoch": 0.5544859453215248,
1015
+ "grad_norm": 0.19580450654029846,
1016
+ "learning_rate": 4.368755999289118e-06,
1017
+ "loss": 0.7777,
1018
+ "step": 1440
1019
+ },
1020
+ {
1021
+ "epoch": 0.5583365421640354,
1022
+ "grad_norm": 0.1898939460515976,
1023
+ "learning_rate": 4.306947711643949e-06,
1024
+ "loss": 0.7628,
1025
+ "step": 1450
1026
+ },
1027
+ {
1028
+ "epoch": 0.562187139006546,
1029
+ "grad_norm": 0.1896950900554657,
1030
+ "learning_rate": 4.245247220281068e-06,
1031
+ "loss": 0.7667,
1032
+ "step": 1460
1033
+ },
1034
+ {
1035
+ "epoch": 0.5660377358490566,
1036
+ "grad_norm": 0.194444477558136,
1037
+ "learning_rate": 4.183664121999587e-06,
1038
+ "loss": 0.7634,
1039
+ "step": 1470
1040
+ },
1041
+ {
1042
+ "epoch": 0.5698883326915672,
1043
+ "grad_norm": 0.19325560331344604,
1044
+ "learning_rate": 4.122207995339474e-06,
1045
+ "loss": 0.7563,
1046
+ "step": 1480
1047
+ },
1048
+ {
1049
+ "epoch": 0.5737389295340778,
1050
+ "grad_norm": 0.18040405213832855,
1051
+ "learning_rate": 4.060888399091734e-06,
1052
+ "loss": 0.7657,
1053
+ "step": 1490
1054
+ },
1055
+ {
1056
+ "epoch": 0.5775895263765883,
1057
+ "grad_norm": 0.18092145025730133,
1058
+ "learning_rate": 3.999714870811639e-06,
1059
+ "loss": 0.7758,
1060
+ "step": 1500
1061
+ },
1062
+ {
1063
+ "epoch": 0.581440123219099,
1064
+ "grad_norm": 0.1865783929824829,
1065
+ "learning_rate": 3.938696925335275e-06,
1066
+ "loss": 0.7699,
1067
+ "step": 1510
1068
+ },
1069
+ {
1070
+ "epoch": 0.5852907200616095,
1071
+ "grad_norm": 0.1946244090795517,
1072
+ "learning_rate": 3.87784405329962e-06,
1073
+ "loss": 0.7783,
1074
+ "step": 1520
1075
+ },
1076
+ {
1077
+ "epoch": 0.5891413169041202,
1078
+ "grad_norm": 0.17867591977119446,
1079
+ "learning_rate": 3.817165719666382e-06,
1080
+ "loss": 0.7792,
1081
+ "step": 1530
1082
+ },
1083
+ {
1084
+ "epoch": 0.5929919137466307,
1085
+ "grad_norm": 0.19103556871414185,
1086
+ "learning_rate": 3.756671362249841e-06,
1087
+ "loss": 0.7785,
1088
+ "step": 1540
1089
+ },
1090
+ {
1091
+ "epoch": 0.5968425105891413,
1092
+ "grad_norm": 0.17850829660892487,
1093
+ "learning_rate": 3.6963703902488907e-06,
1094
+ "loss": 0.7682,
1095
+ "step": 1550
1096
+ },
1097
+ {
1098
+ "epoch": 0.6006931074316519,
1099
+ "grad_norm": 0.17793673276901245,
1100
+ "learning_rate": 3.6362721827835655e-06,
1101
+ "loss": 0.7818,
1102
+ "step": 1560
1103
+ },
1104
+ {
1105
+ "epoch": 0.6045437042741625,
1106
+ "grad_norm": 0.19799306988716125,
1107
+ "learning_rate": 3.576386087436212e-06,
1108
+ "loss": 0.7838,
1109
+ "step": 1570
1110
+ },
1111
+ {
1112
+ "epoch": 0.608394301116673,
1113
+ "grad_norm": 0.19359628856182098,
1114
+ "learning_rate": 3.5167214187975913e-06,
1115
+ "loss": 0.7771,
1116
+ "step": 1580
1117
+ },
1118
+ {
1119
+ "epoch": 0.6122448979591837,
1120
+ "grad_norm": 0.16819912195205688,
1121
+ "learning_rate": 3.457287457018086e-06,
1122
+ "loss": 0.7715,
1123
+ "step": 1590
1124
+ },
1125
+ {
1126
+ "epoch": 0.6160954948016942,
1127
+ "grad_norm": 0.18508508801460266,
1128
+ "learning_rate": 3.3980934463643003e-06,
1129
+ "loss": 0.7674,
1130
+ "step": 1600
1131
+ },
1132
+ {
1133
+ "epoch": 0.6199460916442049,
1134
+ "grad_norm": 0.1706322580575943,
1135
+ "learning_rate": 3.3391485937812053e-06,
1136
+ "loss": 0.7457,
1137
+ "step": 1610
1138
+ },
1139
+ {
1140
+ "epoch": 0.6237966884867154,
1141
+ "grad_norm": 0.18915797770023346,
1142
+ "learning_rate": 3.280462067460115e-06,
1143
+ "loss": 0.747,
1144
+ "step": 1620
1145
+ },
1146
+ {
1147
+ "epoch": 0.627647285329226,
1148
+ "grad_norm": 0.18730075657367706,
1149
+ "learning_rate": 3.222042995412669e-06,
1150
+ "loss": 0.7725,
1151
+ "step": 1630
1152
+ },
1153
+ {
1154
+ "epoch": 0.6314978821717366,
1155
+ "grad_norm": 0.17117463052272797,
1156
+ "learning_rate": 3.163900464051089e-06,
1157
+ "loss": 0.7634,
1158
+ "step": 1640
1159
+ },
1160
+ {
1161
+ "epoch": 0.6353484790142472,
1162
+ "grad_norm": 0.1882287859916687,
1163
+ "learning_rate": 3.1060435167748826e-06,
1164
+ "loss": 0.7773,
1165
+ "step": 1650
1166
+ },
1167
+ {
1168
+ "epoch": 0.6391990758567578,
1169
+ "grad_norm": 0.18529820442199707,
1170
+ "learning_rate": 3.048481152564253e-06,
1171
+ "loss": 0.7537,
1172
+ "step": 1660
1173
+ },
1174
+ {
1175
+ "epoch": 0.6430496726992684,
1176
+ "grad_norm": 0.19810473918914795,
1177
+ "learning_rate": 2.9912223245804017e-06,
1178
+ "loss": 0.7714,
1179
+ "step": 1670
1180
+ },
1181
+ {
1182
+ "epoch": 0.6469002695417789,
1183
+ "grad_norm": 0.18633593618869781,
1184
+ "learning_rate": 2.934275938772981e-06,
1185
+ "loss": 0.7654,
1186
+ "step": 1680
1187
+ },
1188
+ {
1189
+ "epoch": 0.6507508663842896,
1190
+ "grad_norm": 0.1962277889251709,
1191
+ "learning_rate": 2.8776508524948676e-06,
1192
+ "loss": 0.7596,
1193
+ "step": 1690
1194
+ },
1195
+ {
1196
+ "epoch": 0.6546014632268001,
1197
+ "grad_norm": 0.1825772076845169,
1198
+ "learning_rate": 2.821355873124503e-06,
1199
+ "loss": 0.7643,
1200
+ "step": 1700
1201
+ },
1202
+ {
1203
+ "epoch": 0.6584520600693108,
1204
+ "grad_norm": 0.19766974449157715,
1205
+ "learning_rate": 2.7653997566960144e-06,
1206
+ "loss": 0.7672,
1207
+ "step": 1710
1208
+ },
1209
+ {
1210
+ "epoch": 0.6623026569118213,
1211
+ "grad_norm": 0.20021778345108032,
1212
+ "learning_rate": 2.709791206537309e-06,
1213
+ "loss": 0.7605,
1214
+ "step": 1720
1215
+ },
1216
+ {
1217
+ "epoch": 0.6661532537543319,
1218
+ "grad_norm": 0.19782689213752747,
1219
+ "learning_rate": 2.6545388719163747e-06,
1220
+ "loss": 0.7697,
1221
+ "step": 1730
1222
+ },
1223
+ {
1224
+ "epoch": 0.6700038505968425,
1225
+ "grad_norm": 0.19269171357154846,
1226
+ "learning_rate": 2.599651346695979e-06,
1227
+ "loss": 0.7758,
1228
+ "step": 1740
1229
+ },
1230
+ {
1231
+ "epoch": 0.6738544474393531,
1232
+ "grad_norm": 0.1801835298538208,
1233
+ "learning_rate": 2.545137167997007e-06,
1234
+ "loss": 0.7678,
1235
+ "step": 1750
1236
+ },
1237
+ {
1238
+ "epoch": 0.6777050442818637,
1239
+ "grad_norm": 0.1809989959001541,
1240
+ "learning_rate": 2.4910048148705972e-06,
1241
+ "loss": 0.763,
1242
+ "step": 1760
1243
+ },
1244
+ {
1245
+ "epoch": 0.6815556411243743,
1246
+ "grad_norm": 0.19772575795650482,
1247
+ "learning_rate": 2.4372627069793327e-06,
1248
+ "loss": 0.7963,
1249
+ "step": 1770
1250
+ },
1251
+ {
1252
+ "epoch": 0.6854062379668848,
1253
+ "grad_norm": 0.1771772801876068,
1254
+ "learning_rate": 2.3839192032876486e-06,
1255
+ "loss": 0.7745,
1256
+ "step": 1780
1257
+ },
1258
+ {
1259
+ "epoch": 0.6892568348093955,
1260
+ "grad_norm": 0.1874959021806717,
1261
+ "learning_rate": 2.3309826007617047e-06,
1262
+ "loss": 0.7897,
1263
+ "step": 1790
1264
+ },
1265
+ {
1266
+ "epoch": 0.693107431651906,
1267
+ "grad_norm": 0.17783968150615692,
1268
+ "learning_rate": 2.278461133078881e-06,
1269
+ "loss": 0.7577,
1270
+ "step": 1800
1271
+ },
1272
+ {
1273
+ "epoch": 0.6969580284944167,
1274
+ "grad_norm": 0.1931593269109726,
1275
+ "learning_rate": 2.2263629693471258e-06,
1276
+ "loss": 0.7514,
1277
+ "step": 1810
1278
+ },
1279
+ {
1280
+ "epoch": 0.7008086253369272,
1281
+ "grad_norm": 0.17798598110675812,
1282
+ "learning_rate": 2.1746962128343414e-06,
1283
+ "loss": 0.7754,
1284
+ "step": 1820
1285
+ },
1286
+ {
1287
+ "epoch": 0.7046592221794378,
1288
+ "grad_norm": 0.19265486299991608,
1289
+ "learning_rate": 2.1234688997080183e-06,
1290
+ "loss": 0.7575,
1291
+ "step": 1830
1292
+ },
1293
+ {
1294
+ "epoch": 0.7085098190219484,
1295
+ "grad_norm": 0.18881039321422577,
1296
+ "learning_rate": 2.0726889977853053e-06,
1297
+ "loss": 0.7631,
1298
+ "step": 1840
1299
+ },
1300
+ {
1301
+ "epoch": 0.712360415864459,
1302
+ "grad_norm": 0.20708225667476654,
1303
+ "learning_rate": 2.022364405293703e-06,
1304
+ "loss": 0.7766,
1305
+ "step": 1850
1306
+ },
1307
+ {
1308
+ "epoch": 0.7162110127069696,
1309
+ "grad_norm": 0.18311096727848053,
1310
+ "learning_rate": 1.9725029496425814e-06,
1311
+ "loss": 0.7753,
1312
+ "step": 1860
1313
+ },
1314
+ {
1315
+ "epoch": 0.7200616095494802,
1316
+ "grad_norm": 0.18654990196228027,
1317
+ "learning_rate": 1.923112386205727e-06,
1318
+ "loss": 0.7658,
1319
+ "step": 1870
1320
+ },
1321
+ {
1322
+ "epoch": 0.7239122063919907,
1323
+ "grad_norm": 0.18414992094039917,
1324
+ "learning_rate": 1.874200397115079e-06,
1325
+ "loss": 0.7764,
1326
+ "step": 1880
1327
+ },
1328
+ {
1329
+ "epoch": 0.7277628032345014,
1330
+ "grad_norm": 0.19033105671405792,
1331
+ "learning_rate": 1.825774590065857e-06,
1332
+ "loss": 0.7623,
1333
+ "step": 1890
1334
+ },
1335
+ {
1336
+ "epoch": 0.7316134000770119,
1337
+ "grad_norm": 0.20166993141174316,
1338
+ "learning_rate": 1.7778424971332813e-06,
1339
+ "loss": 0.773,
1340
+ "step": 1900
1341
+ },
1342
+ {
1343
+ "epoch": 0.7354639969195226,
1344
+ "grad_norm": 0.18562044203281403,
1345
+ "learning_rate": 1.7304115736010407e-06,
1346
+ "loss": 0.7731,
1347
+ "step": 1910
1348
+ },
1349
+ {
1350
+ "epoch": 0.7393145937620331,
1351
+ "grad_norm": 0.1834976226091385,
1352
+ "learning_rate": 1.6834891968017108e-06,
1353
+ "loss": 0.7579,
1354
+ "step": 1920
1355
+ },
1356
+ {
1357
+ "epoch": 0.7431651906045437,
1358
+ "grad_norm": 0.20096533000469208,
1359
+ "learning_rate": 1.6370826649692884e-06,
1360
+ "loss": 0.7797,
1361
+ "step": 1930
1362
+ },
1363
+ {
1364
+ "epoch": 0.7470157874470543,
1365
+ "grad_norm": 0.1808936446905136,
1366
+ "learning_rate": 1.5911991961040463e-06,
1367
+ "loss": 0.7769,
1368
+ "step": 1940
1369
+ },
1370
+ {
1371
+ "epoch": 0.7508663842895649,
1372
+ "grad_norm": 0.1945439577102661,
1373
+ "learning_rate": 1.545845926849851e-06,
1374
+ "loss": 0.7581,
1375
+ "step": 1950
1376
+ },
1377
+ {
1378
+ "epoch": 0.7547169811320755,
1379
+ "grad_norm": 0.19990317523479462,
1380
+ "learning_rate": 1.5010299113841397e-06,
1381
+ "loss": 0.7856,
1382
+ "step": 1960
1383
+ },
1384
+ {
1385
+ "epoch": 0.7585675779745861,
1386
+ "grad_norm": 0.19386643171310425,
1387
+ "learning_rate": 1.4567581203207238e-06,
1388
+ "loss": 0.7743,
1389
+ "step": 1970
1390
+ },
1391
+ {
1392
+ "epoch": 0.7624181748170966,
1393
+ "grad_norm": 0.201894611120224,
1394
+ "learning_rate": 1.413037439625593e-06,
1395
+ "loss": 0.7739,
1396
+ "step": 1980
1397
+ },
1398
+ {
1399
+ "epoch": 0.7662687716596073,
1400
+ "grad_norm": 0.20811709761619568,
1401
+ "learning_rate": 1.3698746695458847e-06,
1402
+ "loss": 0.7616,
1403
+ "step": 1990
1404
+ },
1405
+ {
1406
+ "epoch": 0.7701193685021178,
1407
+ "grad_norm": 0.1797122061252594,
1408
+ "learning_rate": 1.3272765235521745e-06,
1409
+ "loss": 0.7631,
1410
+ "step": 2000
1411
+ },
1412
+ {
1413
+ "epoch": 0.7739699653446284,
1414
+ "grad_norm": 0.17746761441230774,
1415
+ "learning_rate": 1.2852496272942877e-06,
1416
+ "loss": 0.769,
1417
+ "step": 2010
1418
+ },
1419
+ {
1420
+ "epoch": 0.777820562187139,
1421
+ "grad_norm": 0.1739216148853302,
1422
+ "learning_rate": 1.2438005175707396e-06,
1423
+ "loss": 0.752,
1424
+ "step": 2020
1425
+ },
1426
+ {
1427
+ "epoch": 0.7816711590296496,
1428
+ "grad_norm": 0.18437418341636658,
1429
+ "learning_rate": 1.2029356413120297e-06,
1430
+ "loss": 0.7484,
1431
+ "step": 2030
1432
+ },
1433
+ {
1434
+ "epoch": 0.7855217558721602,
1435
+ "grad_norm": 0.18582645058631897,
1436
+ "learning_rate": 1.1626613545778786e-06,
1437
+ "loss": 0.7627,
1438
+ "step": 2040
1439
+ },
1440
+ {
1441
+ "epoch": 0.7893723527146708,
1442
+ "grad_norm": 0.17509593069553375,
1443
+ "learning_rate": 1.1229839215686294e-06,
1444
+ "loss": 0.765,
1445
+ "step": 2050
1446
+ },
1447
+ {
1448
+ "epoch": 0.7932229495571813,
1449
+ "grad_norm": 0.17156368494033813,
1450
+ "learning_rate": 1.0839095136509188e-06,
1451
+ "loss": 0.7524,
1452
+ "step": 2060
1453
+ },
1454
+ {
1455
+ "epoch": 0.797073546399692,
1456
+ "grad_norm": 0.19748583436012268,
1457
+ "learning_rate": 1.045444208397791e-06,
1458
+ "loss": 0.7697,
1459
+ "step": 2070
1460
+ },
1461
+ {
1462
+ "epoch": 0.8009241432422025,
1463
+ "grad_norm": 0.17417699098587036,
1464
+ "learning_rate": 1.007593988643402e-06,
1465
+ "loss": 0.7436,
1466
+ "step": 2080
1467
+ },
1468
+ {
1469
+ "epoch": 0.8047747400847132,
1470
+ "grad_norm": 0.17897431552410126,
1471
+ "learning_rate": 9.703647415524613e-07,
1472
+ "loss": 0.7704,
1473
+ "step": 2090
1474
+ },
1475
+ {
1476
+ "epoch": 0.8086253369272237,
1477
+ "grad_norm": 0.18004955351352692,
1478
+ "learning_rate": 9.337622577045485e-07,
1479
+ "loss": 0.7633,
1480
+ "step": 2100
1481
+ },
1482
+ {
1483
+ "epoch": 0.8124759337697343,
1484
+ "grad_norm": 0.18383781611919403,
1485
+ "learning_rate": 8.977922301934588e-07,
1486
+ "loss": 0.764,
1487
+ "step": 2110
1488
+ },
1489
+ {
1490
+ "epoch": 0.8163265306122449,
1491
+ "grad_norm": 0.20230449736118317,
1492
+ "learning_rate": 8.624602537417009e-07,
1493
+ "loss": 0.7787,
1494
+ "step": 2120
1495
+ },
1496
+ {
1497
+ "epoch": 0.8201771274547555,
1498
+ "grad_norm": 0.19194047152996063,
1499
+ "learning_rate": 8.277718238303123e-07,
1500
+ "loss": 0.7615,
1501
+ "step": 2130
1502
+ },
1503
+ {
1504
+ "epoch": 0.8240277242972661,
1505
+ "grad_norm": 0.18799102306365967,
1506
+ "learning_rate": 7.937323358440935e-07,
1507
+ "loss": 0.763,
1508
+ "step": 2140
1509
+ },
1510
+ {
1511
+ "epoch": 0.8278783211397767,
1512
+ "grad_norm": 0.1836172342300415,
1513
+ "learning_rate": 7.603470842324223e-07,
1514
+ "loss": 0.7534,
1515
+ "step": 2150
1516
+ },
1517
+ {
1518
+ "epoch": 0.8317289179822872,
1519
+ "grad_norm": 0.18224826455116272,
1520
+ "learning_rate": 7.276212616857575e-07,
1521
+ "loss": 0.7735,
1522
+ "step": 2160
1523
+ },
1524
+ {
1525
+ "epoch": 0.8355795148247979,
1526
+ "grad_norm": 0.18953169882297516,
1527
+ "learning_rate": 6.955599583279837e-07,
1528
+ "loss": 0.7683,
1529
+ "step": 2170
1530
+ },
1531
+ {
1532
+ "epoch": 0.8394301116673084,
1533
+ "grad_norm": 0.17477282881736755,
1534
+ "learning_rate": 6.641681609246981e-07,
1535
+ "loss": 0.7625,
1536
+ "step": 2180
1537
+ },
1538
+ {
1539
+ "epoch": 0.8432807085098191,
1540
+ "grad_norm": 0.1886344999074936,
1541
+ "learning_rate": 6.334507521075711e-07,
1542
+ "loss": 0.765,
1543
+ "step": 2190
1544
+ },
1545
+ {
1546
+ "epoch": 0.8471313053523296,
1547
+ "grad_norm": 0.19694039225578308,
1548
+ "learning_rate": 6.034125096149179e-07,
1549
+ "loss": 0.7659,
1550
+ "step": 2200
1551
+ },
1552
+ {
1553
+ "epoch": 0.8509819021948402,
1554
+ "grad_norm": 0.18048350512981415,
1555
+ "learning_rate": 5.740581055485722e-07,
1556
+ "loss": 0.7377,
1557
+ "step": 2210
1558
+ },
1559
+ {
1560
+ "epoch": 0.8548324990373508,
1561
+ "grad_norm": 0.17724964022636414,
1562
+ "learning_rate": 5.453921056471961e-07,
1563
+ "loss": 0.7709,
1564
+ "step": 2220
1565
+ },
1566
+ {
1567
+ "epoch": 0.8586830958798614,
1568
+ "grad_norm": 0.19817298650741577,
1569
+ "learning_rate": 5.174189685761288e-07,
1570
+ "loss": 0.7634,
1571
+ "step": 2230
1572
+ },
1573
+ {
1574
+ "epoch": 0.862533692722372,
1575
+ "grad_norm": 0.17997999489307404,
1576
+ "learning_rate": 4.901430452338979e-07,
1577
+ "loss": 0.7743,
1578
+ "step": 2240
1579
+ },
1580
+ {
1581
+ "epoch": 0.8663842895648826,
1582
+ "grad_norm": 0.18770642578601837,
1583
+ "learning_rate": 4.6356857807548286e-07,
1584
+ "loss": 0.7633,
1585
+ "step": 2250
1586
+ },
1587
+ {
1588
+ "epoch": 0.8702348864073931,
1589
+ "grad_norm": 0.20914067327976227,
1590
+ "learning_rate": 4.376997004524541e-07,
1591
+ "loss": 0.7454,
1592
+ "step": 2260
1593
+ },
1594
+ {
1595
+ "epoch": 0.8740854832499038,
1596
+ "grad_norm": 0.17826581001281738,
1597
+ "learning_rate": 4.12540435970073e-07,
1598
+ "loss": 0.7652,
1599
+ "step": 2270
1600
+ },
1601
+ {
1602
+ "epoch": 0.8779360800924143,
1603
+ "grad_norm": 0.18321843445301056,
1604
+ "learning_rate": 3.880946978614703e-07,
1605
+ "loss": 0.7681,
1606
+ "step": 2280
1607
+ },
1608
+ {
1609
+ "epoch": 0.881786676934925,
1610
+ "grad_norm": 0.18512724339962006,
1611
+ "learning_rate": 3.643662883789878e-07,
1612
+ "loss": 0.7739,
1613
+ "step": 2290
1614
+ },
1615
+ {
1616
+ "epoch": 0.8856372737774355,
1617
+ "grad_norm": 0.17816029489040375,
1618
+ "learning_rate": 3.41358898202781e-07,
1619
+ "loss": 0.7545,
1620
+ "step": 2300
1621
+ },
1622
+ {
1623
+ "epoch": 0.889487870619946,
1624
+ "grad_norm": 0.17799048125743866,
1625
+ "learning_rate": 3.190761058667741e-07,
1626
+ "loss": 0.7657,
1627
+ "step": 2310
1628
+ },
1629
+ {
1630
+ "epoch": 0.8933384674624567,
1631
+ "grad_norm": 0.17347338795661926,
1632
+ "learning_rate": 2.9752137720206463e-07,
1633
+ "loss": 0.769,
1634
+ "step": 2320
1635
+ },
1636
+ {
1637
+ "epoch": 0.8971890643049673,
1638
+ "grad_norm": 0.19920596480369568,
1639
+ "learning_rate": 2.7669806479785067e-07,
1640
+ "loss": 0.7784,
1641
+ "step": 2330
1642
+ },
1643
+ {
1644
+ "epoch": 0.9010396611474779,
1645
+ "grad_norm": 0.17966783046722412,
1646
+ "learning_rate": 2.566094074799763e-07,
1647
+ "loss": 0.7703,
1648
+ "step": 2340
1649
+ },
1650
+ {
1651
+ "epoch": 0.9048902579899885,
1652
+ "grad_norm": 0.18455131351947784,
1653
+ "learning_rate": 2.3725852980716557e-07,
1654
+ "loss": 0.7496,
1655
+ "step": 2350
1656
+ },
1657
+ {
1658
+ "epoch": 0.908740854832499,
1659
+ "grad_norm": 0.17503368854522705,
1660
+ "learning_rate": 2.1864844158503983e-07,
1661
+ "loss": 0.7649,
1662
+ "step": 2360
1663
+ },
1664
+ {
1665
+ "epoch": 0.9125914516750097,
1666
+ "grad_norm": 0.20010168850421906,
1667
+ "learning_rate": 2.007820373979702e-07,
1668
+ "loss": 0.7576,
1669
+ "step": 2370
1670
+ },
1671
+ {
1672
+ "epoch": 0.9164420485175202,
1673
+ "grad_norm": 0.17816033959388733,
1674
+ "learning_rate": 1.8366209615886532e-07,
1675
+ "loss": 0.7678,
1676
+ "step": 2380
1677
+ },
1678
+ {
1679
+ "epoch": 0.9202926453600309,
1680
+ "grad_norm": 0.17879845201969147,
1681
+ "learning_rate": 1.6729128067693613e-07,
1682
+ "loss": 0.7782,
1683
+ "step": 2390
1684
+ },
1685
+ {
1686
+ "epoch": 0.9241432422025414,
1687
+ "grad_norm": 0.2007186859846115,
1688
+ "learning_rate": 1.5167213724353426e-07,
1689
+ "loss": 0.7734,
1690
+ "step": 2400
1691
+ },
1692
+ {
1693
+ "epoch": 0.927993839045052,
1694
+ "grad_norm": 0.17965149879455566,
1695
+ "learning_rate": 1.3680709523610058e-07,
1696
+ "loss": 0.7512,
1697
+ "step": 2410
1698
+ },
1699
+ {
1700
+ "epoch": 0.9318444358875626,
1701
+ "grad_norm": 0.17808306217193604,
1702
+ "learning_rate": 1.2269846674030418e-07,
1703
+ "loss": 0.7819,
1704
+ "step": 2420
1705
+ },
1706
+ {
1707
+ "epoch": 0.9356950327300732,
1708
+ "grad_norm": 0.18156029284000397,
1709
+ "learning_rate": 1.0934844619042595e-07,
1710
+ "loss": 0.7748,
1711
+ "step": 2430
1712
+ },
1713
+ {
1714
+ "epoch": 0.9395456295725837,
1715
+ "grad_norm": 0.18175268173217773,
1716
+ "learning_rate": 9.675911002803961e-08,
1717
+ "loss": 0.7655,
1718
+ "step": 2440
1719
+ },
1720
+ {
1721
+ "epoch": 0.9433962264150944,
1722
+ "grad_norm": 0.1946512907743454,
1723
+ "learning_rate": 8.493241637904381e-08,
1724
+ "loss": 0.7539,
1725
+ "step": 2450
1726
+ },
1727
+ {
1728
+ "epoch": 0.9472468232576049,
1729
+ "grad_norm": 0.20408418774604797,
1730
+ "learning_rate": 7.387020474909689e-08,
1731
+ "loss": 0.7802,
1732
+ "step": 2460
1733
+ },
1734
+ {
1735
+ "epoch": 0.9510974201001156,
1736
+ "grad_norm": 0.19330565631389618,
1737
+ "learning_rate": 6.357419573750856e-08,
1738
+ "loss": 0.7775,
1739
+ "step": 2470
1740
+ },
1741
+ {
1742
+ "epoch": 0.9549480169426261,
1743
+ "grad_norm": 0.18118876218795776,
1744
+ "learning_rate": 5.4045990769613365e-08,
1745
+ "loss": 0.7624,
1746
+ "step": 2480
1747
+ },
1748
+ {
1749
+ "epoch": 0.9587986137851366,
1750
+ "grad_norm": 0.17869797348976135,
1751
+ "learning_rate": 4.5287071847694434e-08,
1752
+ "loss": 0.7636,
1753
+ "step": 2490
1754
+ },
1755
+ {
1756
+ "epoch": 0.9626492106276473,
1757
+ "grad_norm": 0.18040619790554047,
1758
+ "learning_rate": 3.7298801320467817e-08,
1759
+ "loss": 0.764,
1760
+ "step": 2500
1761
+ },
1762
+ {
1763
+ "epoch": 0.9664998074701578,
1764
+ "grad_norm": 0.18110719323158264,
1765
+ "learning_rate": 3.0082421671192576e-08,
1766
+ "loss": 0.7629,
1767
+ "step": 2510
1768
+ },
1769
+ {
1770
+ "epoch": 0.9703504043126685,
1771
+ "grad_norm": 0.18856775760650635,
1772
+ "learning_rate": 2.3639055324410355e-08,
1773
+ "loss": 0.7767,
1774
+ "step": 2520
1775
+ },
1776
+ {
1777
+ "epoch": 0.974201001155179,
1778
+ "grad_norm": 0.18076908588409424,
1779
+ "learning_rate": 1.7969704471369477e-08,
1780
+ "loss": 0.7584,
1781
+ "step": 2530
1782
+ },
1783
+ {
1784
+ "epoch": 0.9780515979976896,
1785
+ "grad_norm": 0.17530177533626556,
1786
+ "learning_rate": 1.3075250914142413e-08,
1787
+ "loss": 0.7578,
1788
+ "step": 2540
1789
+ },
1790
+ {
1791
+ "epoch": 0.9819021948402002,
1792
+ "grad_norm": 0.1742597222328186,
1793
+ "learning_rate": 8.956455928476049e-09,
1794
+ "loss": 0.7745,
1795
+ "step": 2550
1796
+ },
1797
+ {
1798
+ "epoch": 0.9857527916827108,
1799
+ "grad_norm": 0.17465904355049133,
1800
+ "learning_rate": 5.6139601453786275e-09,
1801
+ "loss": 0.76,
1802
+ "step": 2560
1803
+ },
1804
+ {
1805
+ "epoch": 0.9896033885252215,
1806
+ "grad_norm": 0.1830637902021408,
1807
+ "learning_rate": 3.0482834514805602e-09,
1808
+ "loss": 0.7557,
1809
+ "step": 2570
1810
+ },
1811
+ {
1812
+ "epoch": 0.993453985367732,
1813
+ "grad_norm": 0.17476512491703033,
1814
+ "learning_rate": 1.2598249081713366e-09,
1815
+ "loss": 0.7462,
1816
+ "step": 2580
1817
+ },
1818
+ {
1819
+ "epoch": 0.9973045822102425,
1820
+ "grad_norm": 0.18902213871479034,
1821
+ "learning_rate": 2.488626895302826e-10,
1822
+ "loss": 0.7772,
1823
+ "step": 2590
1824
+ },
1825
+ {
1826
+ "epoch": 1.0,
1827
+ "step": 2597,
1828
+ "total_flos": 6.731897062184452e+18,
1829
+ "train_loss": 0.7811027935573033,
1830
+ "train_runtime": 14929.3917,
1831
+ "train_samples_per_second": 44.537,
1832
+ "train_steps_per_second": 0.174
1833
+ }
1834
+ ],
1835
+ "logging_steps": 10,
1836
+ "max_steps": 2597,
1837
+ "num_input_tokens_seen": 584317136,
1838
+ "num_train_epochs": 1,
1839
+ "save_steps": 500,
1840
+ "stateful_callbacks": {
1841
+ "TrainerControl": {
1842
+ "args": {
1843
+ "should_epoch_stop": false,
1844
+ "should_evaluate": false,
1845
+ "should_log": false,
1846
+ "should_save": true,
1847
+ "should_training_stop": true
1848
+ },
1849
+ "attributes": {}
1850
+ }
1851
+ },
1852
+ "total_flos": 6.731897062184452e+18,
1853
+ "train_batch_size": 16,
1854
+ "trial_name": null,
1855
+ "trial_params": null
1856
+ }
continuous/smollm2/raev2_dinov3l_k7/finetune/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:aed51c98ea513b92dd31e4ebf0bc96c23a39c49ca5c2e422e30f4bea698bdcda
3
+ size 6264
continuous/smollm2/raev2_dinov3l_k7/finetune/vocab.json ADDED
The diff for this file is too large to render. See raw diff
 
continuous/smollm2/raev2_dinov3l_k7/pretrain/config.json ADDED
@@ -0,0 +1,70 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_faster_video": false,
3
+ "add_time_instruction": false,
4
+ "architectures": [
5
+ "LlamaForCausalLM"
6
+ ],
7
+ "attention_bias": false,
8
+ "attention_dropout": 0.0,
9
+ "bos_token_id": 1,
10
+ "dtype": "bfloat16",
11
+ "eos_token_id": 2,
12
+ "faster_token_stride": 10,
13
+ "force_sample": false,
14
+ "head_dim": 64,
15
+ "hidden_act": "silu",
16
+ "hidden_size": 2048,
17
+ "image_aspect_ratio": "square",
18
+ "image_crop_resolution": null,
19
+ "image_grid_pinpoints": null,
20
+ "image_split_resolution": null,
21
+ "initializer_range": 0.02,
22
+ "intermediate_size": 8192,
23
+ "max_position_embeddings": 8192,
24
+ "mlp_bias": false,
25
+ "mm_hidden_size": 1024,
26
+ "mm_newline_position": "grid",
27
+ "mm_patch_merge_type": "flat",
28
+ "mm_projector_lr": null,
29
+ "mm_projector_type": "mlp2x_gelu",
30
+ "mm_resampler_type": null,
31
+ "mm_spatial_pool_mode": "bilinear",
32
+ "mm_spatial_pool_stride": null,
33
+ "mm_tunable_parts": "mm_mlp_adapter",
34
+ "mm_use_im_patch_token": false,
35
+ "mm_use_im_start_end": false,
36
+ "mm_vision_select_feature": "patch",
37
+ "mm_vision_select_layer": -1,
38
+ "mm_vision_tower": "vtb_ssl:raev2",
39
+ "mm_vision_tower_lr": null,
40
+ "model_type": "llama",
41
+ "num_attention_heads": 32,
42
+ "num_hidden_layers": 24,
43
+ "num_key_value_heads": 32,
44
+ "pad_token_id": 0,
45
+ "pos_skipping_range": 4096,
46
+ "pretraining_tp": 1,
47
+ "rms_norm_eps": 1e-05,
48
+ "rope_scaling": null,
49
+ "rope_theta": 130000,
50
+ "tie_word_embeddings": true,
51
+ "tokenizer_model_max_length": 8192,
52
+ "tokenizer_padding_side": "right",
53
+ "transformers.js_config": {
54
+ "dtype": "q4",
55
+ "kv_cache_dtype": {
56
+ "fp16": "float16",
57
+ "q4f16": "float16"
58
+ },
59
+ "use_external_data_format": {
60
+ "model.onnx": true,
61
+ "model_fp16.onnx": true
62
+ }
63
+ },
64
+ "transformers_version": "4.57.6",
65
+ "use_cache": true,
66
+ "use_mm_proj": true,
67
+ "use_pos_skipping": false,
68
+ "vision_tower_pretrained": "/cache/ckpt/download/tokenizer/continuous/dinov3/dinov3_vitl16_pretrain_lvd1689m-8aa4cbdd.pth",
69
+ "vocab_size": 49152
70
+ }
continuous/smollm2/raev2_dinov3l_k7/pretrain/mm_projector.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3cd52456e13308514d7bed125c5690c197609201cbe7b05dbe013bb73270edf9
3
+ size 25184312
continuous/smollm2/raev2_dinov3l_k7/pretrain/trainer_state.json ADDED
@@ -0,0 +1,421 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": null,
3
+ "best_metric": null,
4
+ "best_model_checkpoint": null,
5
+ "epoch": 1.0,
6
+ "eval_steps": 500,
7
+ "global_step": 545,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "epoch": 0.01834862385321101,
14
+ "grad_norm": 5.693593978881836,
15
+ "learning_rate": 0.00032142857142857147,
16
+ "loss": 3.7521,
17
+ "step": 10
18
+ },
19
+ {
20
+ "epoch": 0.03669724770642202,
21
+ "grad_norm": 0.2666964828968048,
22
+ "learning_rate": 0.0006785714285714287,
23
+ "loss": 2.9773,
24
+ "step": 20
25
+ },
26
+ {
27
+ "epoch": 0.05504587155963303,
28
+ "grad_norm": 0.41621774435043335,
29
+ "learning_rate": 0.0009999907688176173,
30
+ "loss": 2.8339,
31
+ "step": 30
32
+ },
33
+ {
34
+ "epoch": 0.07339449541284404,
35
+ "grad_norm": 0.1207210049033165,
36
+ "learning_rate": 0.0009988834393115766,
37
+ "loss": 2.7738,
38
+ "step": 40
39
+ },
40
+ {
41
+ "epoch": 0.09174311926605505,
42
+ "grad_norm": 0.12617912888526917,
43
+ "learning_rate": 0.0009959345572940772,
44
+ "loss": 2.7137,
45
+ "step": 50
46
+ },
47
+ {
48
+ "epoch": 0.11009174311926606,
49
+ "grad_norm": 0.1969917267560959,
50
+ "learning_rate": 0.0009911550081155983,
51
+ "loss": 2.6569,
52
+ "step": 60
53
+ },
54
+ {
55
+ "epoch": 0.12844036697247707,
56
+ "grad_norm": 0.20506985485553741,
57
+ "learning_rate": 0.0009845624347566433,
58
+ "loss": 2.6238,
59
+ "step": 70
60
+ },
61
+ {
62
+ "epoch": 0.14678899082568808,
63
+ "grad_norm": 0.2739271819591522,
64
+ "learning_rate": 0.0009761811727013547,
65
+ "loss": 2.5954,
66
+ "step": 80
67
+ },
68
+ {
69
+ "epoch": 0.1651376146788991,
70
+ "grad_norm": 0.26826032996177673,
71
+ "learning_rate": 0.0009660421601067666,
72
+ "loss": 2.5726,
73
+ "step": 90
74
+ },
75
+ {
76
+ "epoch": 0.1834862385321101,
77
+ "grad_norm": 0.20084306597709656,
78
+ "learning_rate": 0.0009541828235992926,
79
+ "loss": 2.559,
80
+ "step": 100
81
+ },
82
+ {
83
+ "epoch": 0.2018348623853211,
84
+ "grad_norm": 0.2024606317281723,
85
+ "learning_rate": 0.0009406469401200151,
86
+ "loss": 2.5362,
87
+ "step": 110
88
+ },
89
+ {
90
+ "epoch": 0.22018348623853212,
91
+ "grad_norm": 0.1806565225124359,
92
+ "learning_rate": 0.0009254844753287492,
93
+ "loss": 2.5266,
94
+ "step": 120
95
+ },
96
+ {
97
+ "epoch": 0.23853211009174313,
98
+ "grad_norm": 0.15091325342655182,
99
+ "learning_rate": 0.0009087513991633924,
100
+ "loss": 2.5035,
101
+ "step": 130
102
+ },
103
+ {
104
+ "epoch": 0.25688073394495414,
105
+ "grad_norm": 0.15375249087810516,
106
+ "learning_rate": 0.0008905094792353917,
107
+ "loss": 2.4918,
108
+ "step": 140
109
+ },
110
+ {
111
+ "epoch": 0.27522935779816515,
112
+ "grad_norm": 0.19798453152179718,
113
+ "learning_rate": 0.0008708260528239789,
114
+ "loss": 2.4978,
115
+ "step": 150
116
+ },
117
+ {
118
+ "epoch": 0.29357798165137616,
119
+ "grad_norm": 0.20471195876598358,
120
+ "learning_rate": 0.0008497737783108237,
121
+ "loss": 2.4845,
122
+ "step": 160
123
+ },
124
+ {
125
+ "epoch": 0.3119266055045872,
126
+ "grad_norm": 0.15809103846549988,
127
+ "learning_rate": 0.0008274303669726426,
128
+ "loss": 2.4805,
129
+ "step": 170
130
+ },
131
+ {
132
+ "epoch": 0.3302752293577982,
133
+ "grad_norm": 0.1559891253709793,
134
+ "learning_rate": 0.0008038782961218137,
135
+ "loss": 2.4666,
136
+ "step": 180
137
+ },
138
+ {
139
+ "epoch": 0.3486238532110092,
140
+ "grad_norm": 0.16481006145477295,
141
+ "learning_rate": 0.000779204504653894,
142
+ "loss": 2.4659,
143
+ "step": 190
144
+ },
145
+ {
146
+ "epoch": 0.3669724770642202,
147
+ "grad_norm": 0.1623370349407196,
148
+ "learning_rate": 0.0007535000721258791,
149
+ "loss": 2.444,
150
+ "step": 200
151
+ },
152
+ {
153
+ "epoch": 0.3853211009174312,
154
+ "grad_norm": 0.1381223052740097,
155
+ "learning_rate": 0.00072685988254984,
156
+ "loss": 2.4424,
157
+ "step": 210
158
+ },
159
+ {
160
+ "epoch": 0.4036697247706422,
161
+ "grad_norm": 0.14203192293643951,
162
+ "learning_rate": 0.0006993822741429906,
163
+ "loss": 2.4491,
164
+ "step": 220
165
+ },
166
+ {
167
+ "epoch": 0.42201834862385323,
168
+ "grad_norm": 0.1370697170495987,
169
+ "learning_rate": 0.0006711686763270818,
170
+ "loss": 2.4432,
171
+ "step": 230
172
+ },
173
+ {
174
+ "epoch": 0.44036697247706424,
175
+ "grad_norm": 0.151462122797966,
176
+ "learning_rate": 0.0006423232353170831,
177
+ "loss": 2.434,
178
+ "step": 240
179
+ },
180
+ {
181
+ "epoch": 0.45871559633027525,
182
+ "grad_norm": 0.1481831818819046,
183
+ "learning_rate": 0.0006129524296812335,
184
+ "loss": 2.4253,
185
+ "step": 250
186
+ },
187
+ {
188
+ "epoch": 0.47706422018348627,
189
+ "grad_norm": 0.1342409998178482,
190
+ "learning_rate": 0.0005831646772915651,
191
+ "loss": 2.4332,
192
+ "step": 260
193
+ },
194
+ {
195
+ "epoch": 0.4954128440366973,
196
+ "grad_norm": 0.16158564388751984,
197
+ "learning_rate": 0.0005530699351157809,
198
+ "loss": 2.4123,
199
+ "step": 270
200
+ },
201
+ {
202
+ "epoch": 0.5137614678899083,
203
+ "grad_norm": 0.17262111604213715,
204
+ "learning_rate": 0.0005227792933277943,
205
+ "loss": 2.4186,
206
+ "step": 280
207
+ },
208
+ {
209
+ "epoch": 0.5321100917431193,
210
+ "grad_norm": 0.13029447197914124,
211
+ "learning_rate": 0.0004924045652352092,
212
+ "loss": 2.4006,
213
+ "step": 290
214
+ },
215
+ {
216
+ "epoch": 0.5504587155963303,
217
+ "grad_norm": 0.12744656205177307,
218
+ "learning_rate": 0.0004620578745374633,
219
+ "loss": 2.4029,
220
+ "step": 300
221
+ },
222
+ {
223
+ "epoch": 0.5688073394495413,
224
+ "grad_norm": 0.13044019043445587,
225
+ "learning_rate": 0.0004318512414382059,
226
+ "loss": 2.4071,
227
+ "step": 310
228
+ },
229
+ {
230
+ "epoch": 0.5871559633027523,
231
+ "grad_norm": 0.12274394929409027,
232
+ "learning_rate": 0.0004018961691397148,
233
+ "loss": 2.4084,
234
+ "step": 320
235
+ },
236
+ {
237
+ "epoch": 0.6055045871559633,
238
+ "grad_norm": 0.14367614686489105,
239
+ "learning_rate": 0.0003723032322457458,
240
+ "loss": 2.3904,
241
+ "step": 330
242
+ },
243
+ {
244
+ "epoch": 0.6238532110091743,
245
+ "grad_norm": 0.17121560871601105,
246
+ "learning_rate": 0.0003431816685921625,
247
+ "loss": 2.3964,
248
+ "step": 340
249
+ },
250
+ {
251
+ "epoch": 0.6422018348623854,
252
+ "grad_norm": 0.123627208173275,
253
+ "learning_rate": 0.0003146389760120416,
254
+ "loss": 2.3958,
255
+ "step": 350
256
+ },
257
+ {
258
+ "epoch": 0.6605504587155964,
259
+ "grad_norm": 0.11159710586071014,
260
+ "learning_rate": 0.00028678051552373485,
261
+ "loss": 2.3984,
262
+ "step": 360
263
+ },
264
+ {
265
+ "epoch": 0.6788990825688074,
266
+ "grad_norm": 0.12533099949359894,
267
+ "learning_rate": 0.0002597091224066581,
268
+ "loss": 2.3899,
269
+ "step": 370
270
+ },
271
+ {
272
+ "epoch": 0.6972477064220184,
273
+ "grad_norm": 0.11607573926448822,
274
+ "learning_rate": 0.0002335247266004629,
275
+ "loss": 2.3988,
276
+ "step": 380
277
+ },
278
+ {
279
+ "epoch": 0.7155963302752294,
280
+ "grad_norm": 0.12388122081756592,
281
+ "learning_rate": 0.000208323983828828,
282
+ "loss": 2.3835,
283
+ "step": 390
284
+ },
285
+ {
286
+ "epoch": 0.7339449541284404,
287
+ "grad_norm": 0.12167981266975403,
288
+ "learning_rate": 0.0001841999188095224,
289
+ "loss": 2.3836,
290
+ "step": 400
291
+ },
292
+ {
293
+ "epoch": 0.7522935779816514,
294
+ "grad_norm": 0.12358813732862473,
295
+ "learning_rate": 0.00016124158186777676,
296
+ "loss": 2.3794,
297
+ "step": 410
298
+ },
299
+ {
300
+ "epoch": 0.7706422018348624,
301
+ "grad_norm": 0.12852197885513306,
302
+ "learning_rate": 0.0001395337202205211,
303
+ "loss": 2.3731,
304
+ "step": 420
305
+ },
306
+ {
307
+ "epoch": 0.7889908256880734,
308
+ "grad_norm": 0.13968129456043243,
309
+ "learning_rate": 0.00011915646514489292,
310
+ "loss": 2.3785,
311
+ "step": 430
312
+ },
313
+ {
314
+ "epoch": 0.8073394495412844,
315
+ "grad_norm": 0.13339859247207642,
316
+ "learning_rate": 0.00010018503618578818,
317
+ "loss": 2.3827,
318
+ "step": 440
319
+ },
320
+ {
321
+ "epoch": 0.8256880733944955,
322
+ "grad_norm": 0.11980486661195755,
323
+ "learning_rate": 8.268946349432583e-05,
324
+ "loss": 2.381,
325
+ "step": 450
326
+ },
327
+ {
328
+ "epoch": 0.8440366972477065,
329
+ "grad_norm": 0.11144254356622696,
330
+ "learning_rate": 6.673432932217117e-05,
331
+ "loss": 2.3687,
332
+ "step": 460
333
+ },
334
+ {
335
+ "epoch": 0.8623853211009175,
336
+ "grad_norm": 0.11573170125484467,
337
+ "learning_rate": 5.2378529625954684e-05,
338
+ "loss": 2.3642,
339
+ "step": 470
340
+ },
341
+ {
342
+ "epoch": 0.8807339449541285,
343
+ "grad_norm": 0.11045113950967789,
344
+ "learning_rate": 3.9675056661785556e-05,
345
+ "loss": 2.3694,
346
+ "step": 480
347
+ },
348
+ {
349
+ "epoch": 0.8990825688073395,
350
+ "grad_norm": 0.10652980953454971,
351
+ "learning_rate": 2.8670803372379538e-05,
352
+ "loss": 2.3735,
353
+ "step": 490
354
+ },
355
+ {
356
+ "epoch": 0.9174311926605505,
357
+ "grad_norm": 0.10687228292226791,
358
+ "learning_rate": 1.9406390288876586e-05,
359
+ "loss": 2.3779,
360
+ "step": 500
361
+ },
362
+ {
363
+ "epoch": 0.9357798165137615,
364
+ "grad_norm": 0.11329385638237,
365
+ "learning_rate": 1.191601558631461e-05,
366
+ "loss": 2.3663,
367
+ "step": 510
368
+ },
369
+ {
370
+ "epoch": 0.9541284403669725,
371
+ "grad_norm": 0.10240219533443451,
372
+ "learning_rate": 6.2273288462559305e-06,
373
+ "loss": 2.3627,
374
+ "step": 520
375
+ },
376
+ {
377
+ "epoch": 0.9724770642201835,
378
+ "grad_norm": 0.10394181311130524,
379
+ "learning_rate": 2.361328992552314e-06,
380
+ "loss": 2.3648,
381
+ "step": 530
382
+ },
383
+ {
384
+ "epoch": 0.9908256880733946,
385
+ "grad_norm": 0.11507761478424072,
386
+ "learning_rate": 3.322867770044202e-07,
387
+ "loss": 2.3652,
388
+ "step": 540
389
+ },
390
+ {
391
+ "epoch": 1.0,
392
+ "step": 545,
393
+ "total_flos": 3.9929562177051034e+17,
394
+ "train_loss": 2.4876806556631665,
395
+ "train_runtime": 1668.8993,
396
+ "train_samples_per_second": 334.429,
397
+ "train_steps_per_second": 0.327
398
+ }
399
+ ],
400
+ "logging_steps": 10,
401
+ "max_steps": 545,
402
+ "num_input_tokens_seen": 34658176,
403
+ "num_train_epochs": 1,
404
+ "save_steps": 500,
405
+ "stateful_callbacks": {
406
+ "TrainerControl": {
407
+ "args": {
408
+ "should_epoch_stop": false,
409
+ "should_evaluate": false,
410
+ "should_log": false,
411
+ "should_save": false,
412
+ "should_training_stop": false
413
+ },
414
+ "attributes": {}
415
+ }
416
+ },
417
+ "total_flos": 3.9929562177051034e+17,
418
+ "train_batch_size": 64,
419
+ "trial_name": null,
420
+ "trial_params": null
421
+ }
continuous/smollm2/siglip2_b16_224/finetune/chat_template.jinja ADDED
@@ -0,0 +1,6 @@
 
 
 
 
 
 
 
1
+ {% for message in messages %}{% if loop.first and messages[0]['role'] != 'system' %}{{ '<|im_start|>system
2
+ You are a helpful AI assistant named SmolLM, trained by Hugging Face<|im_end|>
3
+ ' }}{% endif %}{{'<|im_start|>' + message['role'] + '
4
+ ' + message['content'] + '<|im_end|>' + '
5
+ '}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant
6
+ ' }}{% endif %}
continuous/smollm2/siglip2_b16_224/finetune/config.json ADDED
@@ -0,0 +1,70 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_faster_video": false,
3
+ "add_time_instruction": false,
4
+ "architectures": [
5
+ "LlavaLlamaForCausalLM"
6
+ ],
7
+ "attention_bias": false,
8
+ "attention_dropout": 0.0,
9
+ "bos_token_id": 1,
10
+ "dtype": "bfloat16",
11
+ "eos_token_id": 2,
12
+ "faster_token_stride": 10,
13
+ "force_sample": false,
14
+ "head_dim": 64,
15
+ "hidden_act": "silu",
16
+ "hidden_size": 2048,
17
+ "image_aspect_ratio": "square",
18
+ "image_crop_resolution": null,
19
+ "image_grid_pinpoints": null,
20
+ "image_split_resolution": null,
21
+ "initializer_range": 0.02,
22
+ "intermediate_size": 8192,
23
+ "max_position_embeddings": 8192,
24
+ "mlp_bias": false,
25
+ "mm_hidden_size": 768,
26
+ "mm_newline_position": "grid",
27
+ "mm_patch_merge_type": "flat",
28
+ "mm_projector_lr": 0.0001,
29
+ "mm_projector_type": "mlp2x_gelu",
30
+ "mm_resampler_type": null,
31
+ "mm_spatial_pool_mode": "bilinear",
32
+ "mm_spatial_pool_stride": null,
33
+ "mm_tunable_parts": "mm_mlp_adapter,mm_language_model",
34
+ "mm_use_im_patch_token": false,
35
+ "mm_use_im_start_end": false,
36
+ "mm_vision_select_feature": "patch",
37
+ "mm_vision_select_layer": -2,
38
+ "mm_vision_tower": "open_clip_hub:ViT-B-16-SigLIP2",
39
+ "mm_vision_tower_lr": null,
40
+ "model_type": "llama",
41
+ "num_attention_heads": 32,
42
+ "num_hidden_layers": 24,
43
+ "num_key_value_heads": 32,
44
+ "pad_token_id": 0,
45
+ "pos_skipping_range": 4096,
46
+ "pretraining_tp": 1,
47
+ "rms_norm_eps": 1e-05,
48
+ "rope_scaling": null,
49
+ "rope_theta": 130000,
50
+ "tie_word_embeddings": true,
51
+ "tokenizer_model_max_length": 8192,
52
+ "tokenizer_padding_side": "right",
53
+ "transformers.js_config": {
54
+ "dtype": "q4",
55
+ "kv_cache_dtype": {
56
+ "fp16": "float16",
57
+ "q4f16": "float16"
58
+ },
59
+ "use_external_data_format": {
60
+ "model.onnx": true,
61
+ "model_fp16.onnx": true
62
+ }
63
+ },
64
+ "transformers_version": "4.57.6",
65
+ "use_cache": true,
66
+ "use_mm_proj": true,
67
+ "use_pos_skipping": false,
68
+ "vision_tower_pretrained": "/cache/ckpt/download/tokenizer/continuous/siglip2/siglip2_b16_224.npz",
69
+ "vocab_size": 49152
70
+ }
continuous/smollm2/siglip2_b16_224/finetune/generation_config.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_from_model_config": true,
3
+ "bos_token_id": 1,
4
+ "eos_token_id": [
5
+ 2
6
+ ],
7
+ "pad_token_id": 0,
8
+ "transformers_version": "4.57.6"
9
+ }
continuous/smollm2/siglip2_b16_224/finetune/merges.txt ADDED
The diff for this file is too large to render. See raw diff