lyunee commited on
Commit
ea2c7ea
·
verified ·
1 Parent(s): 6e6d9de

Upload continuous evaluation checkpoints, batch 38

Browse files
Files changed (50) hide show
  1. continuous/smollm2/mc2_m16_384/pretrain/mm_projector.bin +3 -0
  2. continuous/smollm2/mc2_m16_384/pretrain/trainer_state.json +421 -0
  3. continuous/smollm2/mc2_s16_224/finetune/chat_template.jinja +6 -0
  4. continuous/smollm2/mc2_s16_224/finetune/config.json +70 -0
  5. continuous/smollm2/mc2_s16_224/finetune/generation_config.json +9 -0
  6. continuous/smollm2/mc2_s16_224/finetune/merges.txt +0 -0
  7. continuous/smollm2/mc2_s16_224/finetune/model.safetensors +3 -0
  8. continuous/smollm2/mc2_s16_224/finetune/special_tokens_map.json +28 -0
  9. continuous/smollm2/mc2_s16_224/finetune/tokenizer.json +0 -0
  10. continuous/smollm2/mc2_s16_224/finetune/tokenizer_config.json +155 -0
  11. continuous/smollm2/mc2_s16_224/finetune/trainer_state.json +1856 -0
  12. continuous/smollm2/mc2_s16_224/finetune/training_args.bin +3 -0
  13. continuous/smollm2/mc2_s16_224/finetune/vocab.json +0 -0
  14. continuous/smollm2/mc2_s16_224/pretrain/config.json +70 -0
  15. continuous/smollm2/mc2_s16_224/pretrain/mm_projector.bin +3 -0
  16. continuous/smollm2/mc2_s16_224/pretrain/trainer_state.json +421 -0
  17. continuous/smollm2/mc2_s16_224_mt5/finetune/chat_template.jinja +6 -0
  18. continuous/smollm2/mc2_s16_224_mt5/finetune/config.json +70 -0
  19. continuous/smollm2/mc2_s16_224_mt5/finetune/generation_config.json +9 -0
  20. continuous/smollm2/mc2_s16_224_mt5/finetune/merges.txt +0 -0
  21. continuous/smollm2/mc2_s16_224_mt5/finetune/model.safetensors +3 -0
  22. continuous/smollm2/mc2_s16_224_mt5/finetune/special_tokens_map.json +28 -0
  23. continuous/smollm2/mc2_s16_224_mt5/finetune/tokenizer.json +0 -0
  24. continuous/smollm2/mc2_s16_224_mt5/finetune/tokenizer_config.json +155 -0
  25. continuous/smollm2/mc2_s16_224_mt5/finetune/trainer_state.json +1856 -0
  26. continuous/smollm2/mc2_s16_224_mt5/finetune/training_args.bin +3 -0
  27. continuous/smollm2/mc2_s16_224_mt5/finetune/vocab.json +0 -0
  28. continuous/smollm2/mc2_s16_224_mt5/pretrain/config.json +70 -0
  29. continuous/smollm2/mc2_s16_224_mt5/pretrain/mm_projector.bin +3 -0
  30. continuous/smollm2/mc2_s16_224_mt5/pretrain/trainer_state.json +421 -0
  31. continuous/smollm2/mc2_s16_384/finetune/chat_template.jinja +6 -0
  32. continuous/smollm2/mc2_s16_384/finetune/config.json +70 -0
  33. continuous/smollm2/mc2_s16_384/finetune/generation_config.json +9 -0
  34. continuous/smollm2/mc2_s16_384/finetune/merges.txt +0 -0
  35. continuous/smollm2/mc2_s16_384/finetune/model.safetensors +3 -0
  36. continuous/smollm2/mc2_s16_384/finetune/special_tokens_map.json +28 -0
  37. continuous/smollm2/mc2_s16_384/finetune/tokenizer.json +0 -0
  38. continuous/smollm2/mc2_s16_384/finetune/tokenizer_config.json +155 -0
  39. continuous/smollm2/mc2_s16_384/finetune/trainer_state.json +1856 -0
  40. continuous/smollm2/mc2_s16_384/finetune/training_args.bin +3 -0
  41. continuous/smollm2/mc2_s16_384/finetune/vocab.json +0 -0
  42. continuous/smollm2/mc2_s16_384/pretrain/config.json +70 -0
  43. continuous/smollm2/mc2_s16_384/pretrain/mm_projector.bin +3 -0
  44. continuous/smollm2/mc2_s16_384/pretrain/trainer_state.json +421 -0
  45. continuous/smollm2/pe_core_b16_224/finetune/chat_template.jinja +6 -0
  46. continuous/smollm2/pe_core_b16_224/finetune/config.json +70 -0
  47. continuous/smollm2/pe_core_b16_224/finetune/generation_config.json +9 -0
  48. continuous/smollm2/pe_core_b16_224/finetune/merges.txt +0 -0
  49. continuous/smollm2/pe_core_b16_224/finetune/model.safetensors +3 -0
  50. continuous/smollm2/pe_core_b16_224/finetune/special_tokens_map.json +28 -0
continuous/smollm2/mc2_m16_384/pretrain/mm_projector.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3777e57016b0f5a5b495d861894e3b7bd19850181663d5be0eab7af7d6bc5edd
3
+ size 20990008
continuous/smollm2/mc2_m16_384/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": 1.2900739908218384,
15
+ "learning_rate": 0.00032142857142857147,
16
+ "loss": 3.953,
17
+ "step": 10
18
+ },
19
+ {
20
+ "epoch": 0.03669724770642202,
21
+ "grad_norm": 0.09631309658288956,
22
+ "learning_rate": 0.0006785714285714287,
23
+ "loss": 2.9252,
24
+ "step": 20
25
+ },
26
+ {
27
+ "epoch": 0.05504587155963303,
28
+ "grad_norm": 0.05091613158583641,
29
+ "learning_rate": 0.0009999907688176173,
30
+ "loss": 2.7991,
31
+ "step": 30
32
+ },
33
+ {
34
+ "epoch": 0.07339449541284404,
35
+ "grad_norm": 0.04549172520637512,
36
+ "learning_rate": 0.0009988834393115766,
37
+ "loss": 2.745,
38
+ "step": 40
39
+ },
40
+ {
41
+ "epoch": 0.09174311926605505,
42
+ "grad_norm": 0.053090911358594894,
43
+ "learning_rate": 0.0009959345572940772,
44
+ "loss": 2.7163,
45
+ "step": 50
46
+ },
47
+ {
48
+ "epoch": 0.11009174311926606,
49
+ "grad_norm": 0.045806292444467545,
50
+ "learning_rate": 0.0009911550081155983,
51
+ "loss": 2.667,
52
+ "step": 60
53
+ },
54
+ {
55
+ "epoch": 0.12844036697247707,
56
+ "grad_norm": 0.049642547965049744,
57
+ "learning_rate": 0.0009845624347566433,
58
+ "loss": 2.6269,
59
+ "step": 70
60
+ },
61
+ {
62
+ "epoch": 0.14678899082568808,
63
+ "grad_norm": 0.051223669201135635,
64
+ "learning_rate": 0.0009761811727013547,
65
+ "loss": 2.588,
66
+ "step": 80
67
+ },
68
+ {
69
+ "epoch": 0.1651376146788991,
70
+ "grad_norm": 0.06799069046974182,
71
+ "learning_rate": 0.0009660421601067666,
72
+ "loss": 2.5566,
73
+ "step": 90
74
+ },
75
+ {
76
+ "epoch": 0.1834862385321101,
77
+ "grad_norm": 0.05987926945090294,
78
+ "learning_rate": 0.0009541828235992926,
79
+ "loss": 2.5309,
80
+ "step": 100
81
+ },
82
+ {
83
+ "epoch": 0.2018348623853211,
84
+ "grad_norm": 0.06214988976716995,
85
+ "learning_rate": 0.0009406469401200151,
86
+ "loss": 2.4986,
87
+ "step": 110
88
+ },
89
+ {
90
+ "epoch": 0.22018348623853212,
91
+ "grad_norm": 0.05301561951637268,
92
+ "learning_rate": 0.0009254844753287492,
93
+ "loss": 2.4817,
94
+ "step": 120
95
+ },
96
+ {
97
+ "epoch": 0.23853211009174313,
98
+ "grad_norm": 0.059582557529211044,
99
+ "learning_rate": 0.0009087513991633924,
100
+ "loss": 2.4531,
101
+ "step": 130
102
+ },
103
+ {
104
+ "epoch": 0.25688073394495414,
105
+ "grad_norm": 0.0917864516377449,
106
+ "learning_rate": 0.0008905094792353917,
107
+ "loss": 2.4336,
108
+ "step": 140
109
+ },
110
+ {
111
+ "epoch": 0.27522935779816515,
112
+ "grad_norm": 0.07606508582830429,
113
+ "learning_rate": 0.0008708260528239789,
114
+ "loss": 2.4262,
115
+ "step": 150
116
+ },
117
+ {
118
+ "epoch": 0.29357798165137616,
119
+ "grad_norm": 0.07369708269834518,
120
+ "learning_rate": 0.0008497737783108237,
121
+ "loss": 2.3934,
122
+ "step": 160
123
+ },
124
+ {
125
+ "epoch": 0.3119266055045872,
126
+ "grad_norm": 0.08848552405834198,
127
+ "learning_rate": 0.0008274303669726426,
128
+ "loss": 2.3705,
129
+ "step": 170
130
+ },
131
+ {
132
+ "epoch": 0.3302752293577982,
133
+ "grad_norm": 0.05717159062623978,
134
+ "learning_rate": 0.0008038782961218137,
135
+ "loss": 2.3454,
136
+ "step": 180
137
+ },
138
+ {
139
+ "epoch": 0.3486238532110092,
140
+ "grad_norm": 0.06355747580528259,
141
+ "learning_rate": 0.000779204504653894,
142
+ "loss": 2.326,
143
+ "step": 190
144
+ },
145
+ {
146
+ "epoch": 0.3669724770642202,
147
+ "grad_norm": 0.06845735013484955,
148
+ "learning_rate": 0.0007535000721258791,
149
+ "loss": 2.2958,
150
+ "step": 200
151
+ },
152
+ {
153
+ "epoch": 0.3853211009174312,
154
+ "grad_norm": 0.06252758949995041,
155
+ "learning_rate": 0.00072685988254984,
156
+ "loss": 2.2854,
157
+ "step": 210
158
+ },
159
+ {
160
+ "epoch": 0.4036697247706422,
161
+ "grad_norm": 0.07435296475887299,
162
+ "learning_rate": 0.0006993822741429906,
163
+ "loss": 2.287,
164
+ "step": 220
165
+ },
166
+ {
167
+ "epoch": 0.42201834862385323,
168
+ "grad_norm": 0.061630021780729294,
169
+ "learning_rate": 0.0006711686763270818,
170
+ "loss": 2.2748,
171
+ "step": 230
172
+ },
173
+ {
174
+ "epoch": 0.44036697247706424,
175
+ "grad_norm": 0.05692438408732414,
176
+ "learning_rate": 0.0006423232353170831,
177
+ "loss": 2.2635,
178
+ "step": 240
179
+ },
180
+ {
181
+ "epoch": 0.45871559633027525,
182
+ "grad_norm": 0.07057599723339081,
183
+ "learning_rate": 0.0006129524296812335,
184
+ "loss": 2.2618,
185
+ "step": 250
186
+ },
187
+ {
188
+ "epoch": 0.47706422018348627,
189
+ "grad_norm": 0.05470159649848938,
190
+ "learning_rate": 0.0005831646772915651,
191
+ "loss": 2.263,
192
+ "step": 260
193
+ },
194
+ {
195
+ "epoch": 0.4954128440366973,
196
+ "grad_norm": 0.06082005053758621,
197
+ "learning_rate": 0.0005530699351157809,
198
+ "loss": 2.2409,
199
+ "step": 270
200
+ },
201
+ {
202
+ "epoch": 0.5137614678899083,
203
+ "grad_norm": 0.07246402651071548,
204
+ "learning_rate": 0.0005227792933277943,
205
+ "loss": 2.246,
206
+ "step": 280
207
+ },
208
+ {
209
+ "epoch": 0.5321100917431193,
210
+ "grad_norm": 0.05749840289354324,
211
+ "learning_rate": 0.0004924045652352092,
212
+ "loss": 2.2299,
213
+ "step": 290
214
+ },
215
+ {
216
+ "epoch": 0.5504587155963303,
217
+ "grad_norm": 0.05300621688365936,
218
+ "learning_rate": 0.0004620578745374633,
219
+ "loss": 2.2308,
220
+ "step": 300
221
+ },
222
+ {
223
+ "epoch": 0.5688073394495413,
224
+ "grad_norm": 0.08042480051517487,
225
+ "learning_rate": 0.0004318512414382059,
226
+ "loss": 2.2354,
227
+ "step": 310
228
+ },
229
+ {
230
+ "epoch": 0.5871559633027523,
231
+ "grad_norm": 0.05874314159154892,
232
+ "learning_rate": 0.0004018961691397148,
233
+ "loss": 2.2333,
234
+ "step": 320
235
+ },
236
+ {
237
+ "epoch": 0.6055045871559633,
238
+ "grad_norm": 0.059549834579229355,
239
+ "learning_rate": 0.0003723032322457458,
240
+ "loss": 2.2199,
241
+ "step": 330
242
+ },
243
+ {
244
+ "epoch": 0.6238532110091743,
245
+ "grad_norm": 0.07185100764036179,
246
+ "learning_rate": 0.0003431816685921625,
247
+ "loss": 2.2209,
248
+ "step": 340
249
+ },
250
+ {
251
+ "epoch": 0.6422018348623854,
252
+ "grad_norm": 0.06011448800563812,
253
+ "learning_rate": 0.0003146389760120416,
254
+ "loss": 2.222,
255
+ "step": 350
256
+ },
257
+ {
258
+ "epoch": 0.6605504587155964,
259
+ "grad_norm": 0.05478578433394432,
260
+ "learning_rate": 0.00028678051552373485,
261
+ "loss": 2.2227,
262
+ "step": 360
263
+ },
264
+ {
265
+ "epoch": 0.6788990825688074,
266
+ "grad_norm": 0.050930339843034744,
267
+ "learning_rate": 0.0002597091224066581,
268
+ "loss": 2.2164,
269
+ "step": 370
270
+ },
271
+ {
272
+ "epoch": 0.6972477064220184,
273
+ "grad_norm": 0.05213402211666107,
274
+ "learning_rate": 0.0002335247266004629,
275
+ "loss": 2.2212,
276
+ "step": 380
277
+ },
278
+ {
279
+ "epoch": 0.7155963302752294,
280
+ "grad_norm": 0.05319588631391525,
281
+ "learning_rate": 0.000208323983828828,
282
+ "loss": 2.2121,
283
+ "step": 390
284
+ },
285
+ {
286
+ "epoch": 0.7339449541284404,
287
+ "grad_norm": 0.052796367555856705,
288
+ "learning_rate": 0.0001841999188095224,
289
+ "loss": 2.2051,
290
+ "step": 400
291
+ },
292
+ {
293
+ "epoch": 0.7522935779816514,
294
+ "grad_norm": 0.05130847916007042,
295
+ "learning_rate": 0.00016124158186777676,
296
+ "loss": 2.211,
297
+ "step": 410
298
+ },
299
+ {
300
+ "epoch": 0.7706422018348624,
301
+ "grad_norm": 0.051775671541690826,
302
+ "learning_rate": 0.0001395337202205211,
303
+ "loss": 2.2065,
304
+ "step": 420
305
+ },
306
+ {
307
+ "epoch": 0.7889908256880734,
308
+ "grad_norm": 0.048755284398794174,
309
+ "learning_rate": 0.00011915646514489292,
310
+ "loss": 2.2031,
311
+ "step": 430
312
+ },
313
+ {
314
+ "epoch": 0.8073394495412844,
315
+ "grad_norm": 0.05438404902815819,
316
+ "learning_rate": 0.00010018503618578818,
317
+ "loss": 2.2105,
318
+ "step": 440
319
+ },
320
+ {
321
+ "epoch": 0.8256880733944955,
322
+ "grad_norm": 0.04907800257205963,
323
+ "learning_rate": 8.268946349432583e-05,
324
+ "loss": 2.2053,
325
+ "step": 450
326
+ },
327
+ {
328
+ "epoch": 0.8440366972477065,
329
+ "grad_norm": 0.04880329594016075,
330
+ "learning_rate": 6.673432932217117e-05,
331
+ "loss": 2.1966,
332
+ "step": 460
333
+ },
334
+ {
335
+ "epoch": 0.8623853211009175,
336
+ "grad_norm": 0.052861426025629044,
337
+ "learning_rate": 5.2378529625954684e-05,
338
+ "loss": 2.1915,
339
+ "step": 470
340
+ },
341
+ {
342
+ "epoch": 0.8807339449541285,
343
+ "grad_norm": 0.04666865989565849,
344
+ "learning_rate": 3.9675056661785556e-05,
345
+ "loss": 2.1947,
346
+ "step": 480
347
+ },
348
+ {
349
+ "epoch": 0.8990825688073395,
350
+ "grad_norm": 0.045995619148015976,
351
+ "learning_rate": 2.8670803372379538e-05,
352
+ "loss": 2.2011,
353
+ "step": 490
354
+ },
355
+ {
356
+ "epoch": 0.9174311926605505,
357
+ "grad_norm": 0.04712270200252533,
358
+ "learning_rate": 1.9406390288876586e-05,
359
+ "loss": 2.2045,
360
+ "step": 500
361
+ },
362
+ {
363
+ "epoch": 0.9357798165137615,
364
+ "grad_norm": 0.04770253971219063,
365
+ "learning_rate": 1.191601558631461e-05,
366
+ "loss": 2.195,
367
+ "step": 510
368
+ },
369
+ {
370
+ "epoch": 0.9541284403669725,
371
+ "grad_norm": 0.04716595262289047,
372
+ "learning_rate": 6.2273288462559305e-06,
373
+ "loss": 2.1942,
374
+ "step": 520
375
+ },
376
+ {
377
+ "epoch": 0.9724770642201835,
378
+ "grad_norm": 0.04646565765142441,
379
+ "learning_rate": 2.361328992552314e-06,
380
+ "loss": 2.1968,
381
+ "step": 530
382
+ },
383
+ {
384
+ "epoch": 0.9908256880733946,
385
+ "grad_norm": 0.04808638244867325,
386
+ "learning_rate": 3.322867770044202e-07,
387
+ "loss": 2.1932,
388
+ "step": 540
389
+ },
390
+ {
391
+ "epoch": 1.0,
392
+ "step": 545,
393
+ "total_flos": 3.3020919725581926e+17,
394
+ "train_loss": 2.36384619266615,
395
+ "train_runtime": 2778.9028,
396
+ "train_samples_per_second": 200.845,
397
+ "train_steps_per_second": 0.196
398
+ }
399
+ ],
400
+ "logging_steps": 10,
401
+ "max_steps": 545,
402
+ "num_input_tokens_seen": 33258880,
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": 3.3020919725581926e+17,
418
+ "train_batch_size": 32,
419
+ "trial_name": null,
420
+ "trial_params": null
421
+ }
continuous/smollm2/mc2_s16_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/mc2_s16_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": 384,
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-S-16",
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/mc2/mc2_s16_224.pt",
69
+ "vocab_size": 49152
70
+ }
continuous/smollm2/mc2_s16_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/mc2_s16_224/finetune/merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
continuous/smollm2/mc2_s16_224/finetune/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0afd00f8c981fcc837af1c6c945e8a5ba393f5c43a93ec48bddca24ab068f031
3
+ size 3687693280
continuous/smollm2/mc2_s16_224/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/mc2_s16_224/finetune/tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
continuous/smollm2/mc2_s16_224/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/mc2_s16_224/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": 2.897378444671631,
15
+ "learning_rate": 1.153846153846154e-06,
16
+ "loss": 1.2468,
17
+ "step": 10
18
+ },
19
+ {
20
+ "epoch": 0.007701193685021178,
21
+ "grad_norm": 2.021413803100586,
22
+ "learning_rate": 2.435897435897436e-06,
23
+ "loss": 1.1199,
24
+ "step": 20
25
+ },
26
+ {
27
+ "epoch": 0.011551790527531768,
28
+ "grad_norm": 1.9770756959915161,
29
+ "learning_rate": 3.7179487179487184e-06,
30
+ "loss": 1.0119,
31
+ "step": 30
32
+ },
33
+ {
34
+ "epoch": 0.015402387370042356,
35
+ "grad_norm": 1.3865551948547363,
36
+ "learning_rate": 5e-06,
37
+ "loss": 0.9665,
38
+ "step": 40
39
+ },
40
+ {
41
+ "epoch": 0.019252984212552945,
42
+ "grad_norm": 1.3202922344207764,
43
+ "learning_rate": 6.282051282051282e-06,
44
+ "loss": 0.953,
45
+ "step": 50
46
+ },
47
+ {
48
+ "epoch": 0.023103581055063535,
49
+ "grad_norm": 0.30714863538742065,
50
+ "learning_rate": 7.564102564102564e-06,
51
+ "loss": 0.8836,
52
+ "step": 60
53
+ },
54
+ {
55
+ "epoch": 0.026954177897574125,
56
+ "grad_norm": 0.23797465860843658,
57
+ "learning_rate": 8.846153846153847e-06,
58
+ "loss": 0.8384,
59
+ "step": 70
60
+ },
61
+ {
62
+ "epoch": 0.030804774740084712,
63
+ "grad_norm": 0.24662268161773682,
64
+ "learning_rate": 9.999996111488723e-06,
65
+ "loss": 0.8522,
66
+ "step": 80
67
+ },
68
+ {
69
+ "epoch": 0.0346553715825953,
70
+ "grad_norm": 0.2344592958688736,
71
+ "learning_rate": 9.999529497453782e-06,
72
+ "loss": 0.8371,
73
+ "step": 90
74
+ },
75
+ {
76
+ "epoch": 0.03850596842510589,
77
+ "grad_norm": 0.22108261287212372,
78
+ "learning_rate": 9.998285264324193e-06,
79
+ "loss": 0.8077,
80
+ "step": 100
81
+ },
82
+ {
83
+ "epoch": 0.04235656526761648,
84
+ "grad_norm": 0.21222074329853058,
85
+ "learning_rate": 9.996263605626052e-06,
86
+ "loss": 0.7983,
87
+ "step": 110
88
+ },
89
+ {
90
+ "epoch": 0.04620716211012707,
91
+ "grad_norm": 0.21803833544254303,
92
+ "learning_rate": 9.99346483580503e-06,
93
+ "loss": 0.8164,
94
+ "step": 120
95
+ },
96
+ {
97
+ "epoch": 0.05005775895263766,
98
+ "grad_norm": 0.20341046154499054,
99
+ "learning_rate": 9.989889390177467e-06,
100
+ "loss": 0.7937,
101
+ "step": 130
102
+ },
103
+ {
104
+ "epoch": 0.05390835579514825,
105
+ "grad_norm": 0.2209150493144989,
106
+ "learning_rate": 9.985537824862647e-06,
107
+ "loss": 0.8071,
108
+ "step": 140
109
+ },
110
+ {
111
+ "epoch": 0.05775895263765884,
112
+ "grad_norm": 0.2328816056251526,
113
+ "learning_rate": 9.980410816696317e-06,
114
+ "loss": 0.7846,
115
+ "step": 150
116
+ },
117
+ {
118
+ "epoch": 0.061609549480169425,
119
+ "grad_norm": 0.20764225721359253,
120
+ "learning_rate": 9.97450916312541e-06,
121
+ "loss": 0.7908,
122
+ "step": 160
123
+ },
124
+ {
125
+ "epoch": 0.06546014632268002,
126
+ "grad_norm": 0.19526121020317078,
127
+ "learning_rate": 9.967833782084004e-06,
128
+ "loss": 0.7907,
129
+ "step": 170
130
+ },
131
+ {
132
+ "epoch": 0.0693107431651906,
133
+ "grad_norm": 0.20182456076145172,
134
+ "learning_rate": 9.960385711850554e-06,
135
+ "loss": 0.8227,
136
+ "step": 180
137
+ },
138
+ {
139
+ "epoch": 0.07316134000770119,
140
+ "grad_norm": 0.21280643343925476,
141
+ "learning_rate": 9.952166110886394e-06,
142
+ "loss": 0.8095,
143
+ "step": 190
144
+ },
145
+ {
146
+ "epoch": 0.07701193685021178,
147
+ "grad_norm": 0.20703664422035217,
148
+ "learning_rate": 9.943176257655567e-06,
149
+ "loss": 0.8078,
150
+ "step": 200
151
+ },
152
+ {
153
+ "epoch": 0.08086253369272237,
154
+ "grad_norm": 0.20541533827781677,
155
+ "learning_rate": 9.933417550425952e-06,
156
+ "loss": 0.7964,
157
+ "step": 210
158
+ },
159
+ {
160
+ "epoch": 0.08471313053523297,
161
+ "grad_norm": 0.1937870979309082,
162
+ "learning_rate": 9.9228915070518e-06,
163
+ "loss": 0.7861,
164
+ "step": 220
165
+ },
166
+ {
167
+ "epoch": 0.08856372737774355,
168
+ "grad_norm": 0.19562752544879913,
169
+ "learning_rate": 9.911599764737632e-06,
170
+ "loss": 0.7818,
171
+ "step": 230
172
+ },
173
+ {
174
+ "epoch": 0.09241432422025414,
175
+ "grad_norm": 0.19090865552425385,
176
+ "learning_rate": 9.899544079783606e-06,
177
+ "loss": 0.7754,
178
+ "step": 240
179
+ },
180
+ {
181
+ "epoch": 0.09626492106276473,
182
+ "grad_norm": 0.20747371017932892,
183
+ "learning_rate": 9.886726327312338e-06,
184
+ "loss": 0.7933,
185
+ "step": 250
186
+ },
187
+ {
188
+ "epoch": 0.10011551790527531,
189
+ "grad_norm": 0.18085235357284546,
190
+ "learning_rate": 9.87314850097724e-06,
191
+ "loss": 0.7905,
192
+ "step": 260
193
+ },
194
+ {
195
+ "epoch": 0.1039661147477859,
196
+ "grad_norm": 0.1962186098098755,
197
+ "learning_rate": 9.858812712652452e-06,
198
+ "loss": 0.774,
199
+ "step": 270
200
+ },
201
+ {
202
+ "epoch": 0.1078167115902965,
203
+ "grad_norm": 0.17672090232372284,
204
+ "learning_rate": 9.843721192104341e-06,
205
+ "loss": 0.7712,
206
+ "step": 280
207
+ },
208
+ {
209
+ "epoch": 0.11166730843280709,
210
+ "grad_norm": 0.2069922685623169,
211
+ "learning_rate": 9.827876286644698e-06,
212
+ "loss": 0.8032,
213
+ "step": 290
214
+ },
215
+ {
216
+ "epoch": 0.11551790527531768,
217
+ "grad_norm": 0.16967450082302094,
218
+ "learning_rate": 9.811280460765643e-06,
219
+ "loss": 0.7622,
220
+ "step": 300
221
+ },
222
+ {
223
+ "epoch": 0.11936850211782826,
224
+ "grad_norm": 0.19258879125118256,
225
+ "learning_rate": 9.793936295756292e-06,
226
+ "loss": 0.7665,
227
+ "step": 310
228
+ },
229
+ {
230
+ "epoch": 0.12321909896033885,
231
+ "grad_norm": 0.20791630446910858,
232
+ "learning_rate": 9.775846489301279e-06,
233
+ "loss": 0.7749,
234
+ "step": 320
235
+ },
236
+ {
237
+ "epoch": 0.12706969580284944,
238
+ "grad_norm": 0.18911762535572052,
239
+ "learning_rate": 9.757013855061157e-06,
240
+ "loss": 0.7775,
241
+ "step": 330
242
+ },
243
+ {
244
+ "epoch": 0.13092029264536004,
245
+ "grad_norm": 0.1877070814371109,
246
+ "learning_rate": 9.737441322234758e-06,
247
+ "loss": 0.7798,
248
+ "step": 340
249
+ },
250
+ {
251
+ "epoch": 0.1347708894878706,
252
+ "grad_norm": 0.21309338510036469,
253
+ "learning_rate": 9.717131935103605e-06,
254
+ "loss": 0.7868,
255
+ "step": 350
256
+ },
257
+ {
258
+ "epoch": 0.1386214863303812,
259
+ "grad_norm": 0.20477625727653503,
260
+ "learning_rate": 9.696088852558398e-06,
261
+ "loss": 0.7676,
262
+ "step": 360
263
+ },
264
+ {
265
+ "epoch": 0.1424720831728918,
266
+ "grad_norm": 0.20703339576721191,
267
+ "learning_rate": 9.674315347607686e-06,
268
+ "loss": 0.7952,
269
+ "step": 370
270
+ },
271
+ {
272
+ "epoch": 0.14632268001540238,
273
+ "grad_norm": 0.18270087242126465,
274
+ "learning_rate": 9.651814806868796e-06,
275
+ "loss": 0.7608,
276
+ "step": 380
277
+ },
278
+ {
279
+ "epoch": 0.15017327685791299,
280
+ "grad_norm": 0.21647334098815918,
281
+ "learning_rate": 9.62859073004107e-06,
282
+ "loss": 0.763,
283
+ "step": 390
284
+ },
285
+ {
286
+ "epoch": 0.15402387370042356,
287
+ "grad_norm": 0.1775861233472824,
288
+ "learning_rate": 9.604646729361547e-06,
289
+ "loss": 0.7704,
290
+ "step": 400
291
+ },
292
+ {
293
+ "epoch": 0.15787447054293416,
294
+ "grad_norm": 0.20231442153453827,
295
+ "learning_rate": 9.579986529043099e-06,
296
+ "loss": 0.7662,
297
+ "step": 410
298
+ },
299
+ {
300
+ "epoch": 0.16172506738544473,
301
+ "grad_norm": 0.18820548057556152,
302
+ "learning_rate": 9.554613964695189e-06,
303
+ "loss": 0.7822,
304
+ "step": 420
305
+ },
306
+ {
307
+ "epoch": 0.16557566422795533,
308
+ "grad_norm": 0.1936754435300827,
309
+ "learning_rate": 9.528532982727281e-06,
310
+ "loss": 0.7631,
311
+ "step": 430
312
+ },
313
+ {
314
+ "epoch": 0.16942626107046593,
315
+ "grad_norm": 0.18175743520259857,
316
+ "learning_rate": 9.501747639735018e-06,
317
+ "loss": 0.7702,
318
+ "step": 440
319
+ },
320
+ {
321
+ "epoch": 0.1732768579129765,
322
+ "grad_norm": 0.18801192939281464,
323
+ "learning_rate": 9.474262101869272e-06,
324
+ "loss": 0.7544,
325
+ "step": 450
326
+ },
327
+ {
328
+ "epoch": 0.1771274547554871,
329
+ "grad_norm": 0.20450633764266968,
330
+ "learning_rate": 9.446080644188141e-06,
331
+ "loss": 0.7643,
332
+ "step": 460
333
+ },
334
+ {
335
+ "epoch": 0.18097805159799768,
336
+ "grad_norm": 0.17731226980686188,
337
+ "learning_rate": 9.417207649992017e-06,
338
+ "loss": 0.7656,
339
+ "step": 470
340
+ },
341
+ {
342
+ "epoch": 0.18482864844050828,
343
+ "grad_norm": 0.19389881193637848,
344
+ "learning_rate": 9.387647610141816e-06,
345
+ "loss": 0.7659,
346
+ "step": 480
347
+ },
348
+ {
349
+ "epoch": 0.18867924528301888,
350
+ "grad_norm": 0.17711210250854492,
351
+ "learning_rate": 9.35740512236047e-06,
352
+ "loss": 0.7587,
353
+ "step": 490
354
+ },
355
+ {
356
+ "epoch": 0.19252984212552945,
357
+ "grad_norm": 0.17504343390464783,
358
+ "learning_rate": 9.326484890517809e-06,
359
+ "loss": 0.7627,
360
+ "step": 500
361
+ },
362
+ {
363
+ "epoch": 0.19638043896804006,
364
+ "grad_norm": 0.18653810024261475,
365
+ "learning_rate": 9.294891723898926e-06,
366
+ "loss": 0.752,
367
+ "step": 510
368
+ },
369
+ {
370
+ "epoch": 0.20023103581055063,
371
+ "grad_norm": 0.18990440666675568,
372
+ "learning_rate": 9.262630536456153e-06,
373
+ "loss": 0.7759,
374
+ "step": 520
375
+ },
376
+ {
377
+ "epoch": 0.20408163265306123,
378
+ "grad_norm": 0.19121888279914856,
379
+ "learning_rate": 9.229706346044749e-06,
380
+ "loss": 0.7586,
381
+ "step": 530
382
+ },
383
+ {
384
+ "epoch": 0.2079322294955718,
385
+ "grad_norm": 0.19628790020942688,
386
+ "learning_rate": 9.196124273642422e-06,
387
+ "loss": 0.7691,
388
+ "step": 540
389
+ },
390
+ {
391
+ "epoch": 0.2117828263380824,
392
+ "grad_norm": 0.17666754126548767,
393
+ "learning_rate": 9.161889542552842e-06,
394
+ "loss": 0.7748,
395
+ "step": 550
396
+ },
397
+ {
398
+ "epoch": 0.215633423180593,
399
+ "grad_norm": 0.18438437581062317,
400
+ "learning_rate": 9.127007477593193e-06,
401
+ "loss": 0.7767,
402
+ "step": 560
403
+ },
404
+ {
405
+ "epoch": 0.21948402002310358,
406
+ "grad_norm": 0.2065315544605255,
407
+ "learning_rate": 9.091483504265974e-06,
408
+ "loss": 0.7914,
409
+ "step": 570
410
+ },
411
+ {
412
+ "epoch": 0.22333461686561418,
413
+ "grad_norm": 0.1951829493045807,
414
+ "learning_rate": 9.055323147915116e-06,
415
+ "loss": 0.7589,
416
+ "step": 580
417
+ },
418
+ {
419
+ "epoch": 0.22718521370812475,
420
+ "grad_norm": 0.1826021671295166,
421
+ "learning_rate": 9.018532032866585e-06,
422
+ "loss": 0.7745,
423
+ "step": 590
424
+ },
425
+ {
426
+ "epoch": 0.23103581055063535,
427
+ "grad_norm": 0.17143858969211578,
428
+ "learning_rate": 8.981115881553579e-06,
429
+ "loss": 0.7722,
430
+ "step": 600
431
+ },
432
+ {
433
+ "epoch": 0.23488640739314592,
434
+ "grad_norm": 0.19163697957992554,
435
+ "learning_rate": 8.943080513626476e-06,
436
+ "loss": 0.7909,
437
+ "step": 610
438
+ },
439
+ {
440
+ "epoch": 0.23873700423565652,
441
+ "grad_norm": 0.18011702597141266,
442
+ "learning_rate": 8.904431845047641e-06,
443
+ "loss": 0.7685,
444
+ "step": 620
445
+ },
446
+ {
447
+ "epoch": 0.24258760107816713,
448
+ "grad_norm": 0.19449572265148163,
449
+ "learning_rate": 8.86517588717128e-06,
450
+ "loss": 0.7805,
451
+ "step": 630
452
+ },
453
+ {
454
+ "epoch": 0.2464381979206777,
455
+ "grad_norm": 0.19222308695316315,
456
+ "learning_rate": 8.82531874580844e-06,
457
+ "loss": 0.7786,
458
+ "step": 640
459
+ },
460
+ {
461
+ "epoch": 0.25028879476318827,
462
+ "grad_norm": 0.18096216022968292,
463
+ "learning_rate": 8.784866620277314e-06,
464
+ "loss": 0.739,
465
+ "step": 650
466
+ },
467
+ {
468
+ "epoch": 0.25413939160569887,
469
+ "grad_norm": 0.19530104100704193,
470
+ "learning_rate": 8.743825802439018e-06,
471
+ "loss": 0.7652,
472
+ "step": 660
473
+ },
474
+ {
475
+ "epoch": 0.2579899884482095,
476
+ "grad_norm": 0.19192297756671906,
477
+ "learning_rate": 8.702202675718956e-06,
478
+ "loss": 0.7744,
479
+ "step": 670
480
+ },
481
+ {
482
+ "epoch": 0.2618405852907201,
483
+ "grad_norm": 0.17266108095645905,
484
+ "learning_rate": 8.660003714113959e-06,
485
+ "loss": 0.756,
486
+ "step": 680
487
+ },
488
+ {
489
+ "epoch": 0.2656911821332307,
490
+ "grad_norm": 0.18394631147384644,
491
+ "learning_rate": 8.617235481185323e-06,
492
+ "loss": 0.7649,
493
+ "step": 690
494
+ },
495
+ {
496
+ "epoch": 0.2695417789757412,
497
+ "grad_norm": 0.19017495214939117,
498
+ "learning_rate": 8.573904629037931e-06,
499
+ "loss": 0.7775,
500
+ "step": 700
501
+ },
502
+ {
503
+ "epoch": 0.2733923758182518,
504
+ "grad_norm": 0.1712351143360138,
505
+ "learning_rate": 8.530017897285585e-06,
506
+ "loss": 0.7588,
507
+ "step": 710
508
+ },
509
+ {
510
+ "epoch": 0.2772429726607624,
511
+ "grad_norm": 0.1833966225385666,
512
+ "learning_rate": 8.485582112002746e-06,
513
+ "loss": 0.7608,
514
+ "step": 720
515
+ },
516
+ {
517
+ "epoch": 0.281093569503273,
518
+ "grad_norm": 0.1793607622385025,
519
+ "learning_rate": 8.440604184662811e-06,
520
+ "loss": 0.7703,
521
+ "step": 730
522
+ },
523
+ {
524
+ "epoch": 0.2849441663457836,
525
+ "grad_norm": 0.17937877774238586,
526
+ "learning_rate": 8.395091111063118e-06,
527
+ "loss": 0.7558,
528
+ "step": 740
529
+ },
530
+ {
531
+ "epoch": 0.28879476318829417,
532
+ "grad_norm": 0.16060440242290497,
533
+ "learning_rate": 8.349049970236822e-06,
534
+ "loss": 0.7516,
535
+ "step": 750
536
+ },
537
+ {
538
+ "epoch": 0.29264536003080477,
539
+ "grad_norm": 0.17624805867671967,
540
+ "learning_rate": 8.302487923351842e-06,
541
+ "loss": 0.7496,
542
+ "step": 760
543
+ },
544
+ {
545
+ "epoch": 0.29649595687331537,
546
+ "grad_norm": 0.17266446352005005,
547
+ "learning_rate": 8.255412212597021e-06,
548
+ "loss": 0.768,
549
+ "step": 770
550
+ },
551
+ {
552
+ "epoch": 0.30034655371582597,
553
+ "grad_norm": 0.19012396037578583,
554
+ "learning_rate": 8.207830160055688e-06,
555
+ "loss": 0.7638,
556
+ "step": 780
557
+ },
558
+ {
559
+ "epoch": 0.3041971505583365,
560
+ "grad_norm": 0.18068645894527435,
561
+ "learning_rate": 8.159749166566786e-06,
562
+ "loss": 0.7463,
563
+ "step": 790
564
+ },
565
+ {
566
+ "epoch": 0.3080477474008471,
567
+ "grad_norm": 0.19084520637989044,
568
+ "learning_rate": 8.11117671057377e-06,
569
+ "loss": 0.7691,
570
+ "step": 800
571
+ },
572
+ {
573
+ "epoch": 0.3118983442433577,
574
+ "grad_norm": 0.17382676899433136,
575
+ "learning_rate": 8.062120346961404e-06,
576
+ "loss": 0.7671,
577
+ "step": 810
578
+ },
579
+ {
580
+ "epoch": 0.3157489410858683,
581
+ "grad_norm": 0.17271341383457184,
582
+ "learning_rate": 8.012587705880705e-06,
583
+ "loss": 0.7642,
584
+ "step": 820
585
+ },
586
+ {
587
+ "epoch": 0.3195995379283789,
588
+ "grad_norm": 0.17965982854366302,
589
+ "learning_rate": 7.962586491562146e-06,
590
+ "loss": 0.7503,
591
+ "step": 830
592
+ },
593
+ {
594
+ "epoch": 0.32345013477088946,
595
+ "grad_norm": 0.1808134913444519,
596
+ "learning_rate": 7.912124481117357e-06,
597
+ "loss": 0.7501,
598
+ "step": 840
599
+ },
600
+ {
601
+ "epoch": 0.32730073161340006,
602
+ "grad_norm": 0.17655493319034576,
603
+ "learning_rate": 7.861209523329494e-06,
604
+ "loss": 0.7596,
605
+ "step": 850
606
+ },
607
+ {
608
+ "epoch": 0.33115132845591067,
609
+ "grad_norm": 0.18723857402801514,
610
+ "learning_rate": 7.809849537432432e-06,
611
+ "loss": 0.7524,
612
+ "step": 860
613
+ },
614
+ {
615
+ "epoch": 0.33500192529842127,
616
+ "grad_norm": 0.17348243296146393,
617
+ "learning_rate": 7.758052511879035e-06,
618
+ "loss": 0.7557,
619
+ "step": 870
620
+ },
621
+ {
622
+ "epoch": 0.33885252214093187,
623
+ "grad_norm": 0.17332826554775238,
624
+ "learning_rate": 7.705826503098642e-06,
625
+ "loss": 0.7586,
626
+ "step": 880
627
+ },
628
+ {
629
+ "epoch": 0.3427031189834424,
630
+ "grad_norm": 0.18102993071079254,
631
+ "learning_rate": 7.653179634243979e-06,
632
+ "loss": 0.7523,
633
+ "step": 890
634
+ },
635
+ {
636
+ "epoch": 0.346553715825953,
637
+ "grad_norm": 0.17080943286418915,
638
+ "learning_rate": 7.600120093927696e-06,
639
+ "loss": 0.7549,
640
+ "step": 900
641
+ },
642
+ {
643
+ "epoch": 0.3504043126684636,
644
+ "grad_norm": 0.20477108657360077,
645
+ "learning_rate": 7.546656134948729e-06,
646
+ "loss": 0.7442,
647
+ "step": 910
648
+ },
649
+ {
650
+ "epoch": 0.3542549095109742,
651
+ "grad_norm": 0.1656145304441452,
652
+ "learning_rate": 7.492796073008661e-06,
653
+ "loss": 0.7521,
654
+ "step": 920
655
+ },
656
+ {
657
+ "epoch": 0.3581055063534848,
658
+ "grad_norm": 0.196430504322052,
659
+ "learning_rate": 7.438548285418326e-06,
660
+ "loss": 0.7337,
661
+ "step": 930
662
+ },
663
+ {
664
+ "epoch": 0.36195610319599536,
665
+ "grad_norm": 0.1876182109117508,
666
+ "learning_rate": 7.3839212097948e-06,
667
+ "loss": 0.7644,
668
+ "step": 940
669
+ },
670
+ {
671
+ "epoch": 0.36580670003850596,
672
+ "grad_norm": 0.19746306538581848,
673
+ "learning_rate": 7.328923342749039e-06,
674
+ "loss": 0.7811,
675
+ "step": 950
676
+ },
677
+ {
678
+ "epoch": 0.36965729688101656,
679
+ "grad_norm": 0.18115413188934326,
680
+ "learning_rate": 7.273563238564319e-06,
681
+ "loss": 0.7762,
682
+ "step": 960
683
+ },
684
+ {
685
+ "epoch": 0.37350789372352716,
686
+ "grad_norm": 0.17461282014846802,
687
+ "learning_rate": 7.217849507865724e-06,
688
+ "loss": 0.7455,
689
+ "step": 970
690
+ },
691
+ {
692
+ "epoch": 0.37735849056603776,
693
+ "grad_norm": 0.17383672297000885,
694
+ "learning_rate": 7.161790816280858e-06,
695
+ "loss": 0.7545,
696
+ "step": 980
697
+ },
698
+ {
699
+ "epoch": 0.3812090874085483,
700
+ "grad_norm": 0.1805609166622162,
701
+ "learning_rate": 7.1053958830920125e-06,
702
+ "loss": 0.7414,
703
+ "step": 990
704
+ },
705
+ {
706
+ "epoch": 0.3850596842510589,
707
+ "grad_norm": 0.17985285818576813,
708
+ "learning_rate": 7.0486734798799715e-06,
709
+ "loss": 0.7537,
710
+ "step": 1000
711
+ },
712
+ {
713
+ "epoch": 0.3889102810935695,
714
+ "grad_norm": 0.17370900511741638,
715
+ "learning_rate": 6.991632429159708e-06,
716
+ "loss": 0.773,
717
+ "step": 1010
718
+ },
719
+ {
720
+ "epoch": 0.3927608779360801,
721
+ "grad_norm": 0.19227539002895355,
722
+ "learning_rate": 6.934281603008132e-06,
723
+ "loss": 0.772,
724
+ "step": 1020
725
+ },
726
+ {
727
+ "epoch": 0.39661147477859066,
728
+ "grad_norm": 0.1683957874774933,
729
+ "learning_rate": 6.876629921684143e-06,
730
+ "loss": 0.7674,
731
+ "step": 1030
732
+ },
733
+ {
734
+ "epoch": 0.40046207162110126,
735
+ "grad_norm": 0.18705366551876068,
736
+ "learning_rate": 6.818686352241199e-06,
737
+ "loss": 0.7552,
738
+ "step": 1040
739
+ },
740
+ {
741
+ "epoch": 0.40431266846361186,
742
+ "grad_norm": 0.16479066014289856,
743
+ "learning_rate": 6.760459907132573e-06,
744
+ "loss": 0.7508,
745
+ "step": 1050
746
+ },
747
+ {
748
+ "epoch": 0.40816326530612246,
749
+ "grad_norm": 0.1675880402326584,
750
+ "learning_rate": 6.701959642809589e-06,
751
+ "loss": 0.7573,
752
+ "step": 1060
753
+ },
754
+ {
755
+ "epoch": 0.41201386214863306,
756
+ "grad_norm": 0.18143683671951294,
757
+ "learning_rate": 6.643194658312987e-06,
758
+ "loss": 0.7491,
759
+ "step": 1070
760
+ },
761
+ {
762
+ "epoch": 0.4158644589911436,
763
+ "grad_norm": 0.16352786123752594,
764
+ "learning_rate": 6.584174093857676e-06,
765
+ "loss": 0.7734,
766
+ "step": 1080
767
+ },
768
+ {
769
+ "epoch": 0.4197150558336542,
770
+ "grad_norm": 0.19673390686511993,
771
+ "learning_rate": 6.5249071294110735e-06,
772
+ "loss": 0.7577,
773
+ "step": 1090
774
+ },
775
+ {
776
+ "epoch": 0.4235656526761648,
777
+ "grad_norm": 0.17905983328819275,
778
+ "learning_rate": 6.465402983265274e-06,
779
+ "loss": 0.7694,
780
+ "step": 1100
781
+ },
782
+ {
783
+ "epoch": 0.4274162495186754,
784
+ "grad_norm": 0.1898772120475769,
785
+ "learning_rate": 6.405670910603243e-06,
786
+ "loss": 0.7617,
787
+ "step": 1110
788
+ },
789
+ {
790
+ "epoch": 0.431266846361186,
791
+ "grad_norm": 0.19543962180614471,
792
+ "learning_rate": 6.345720202059291e-06,
793
+ "loss": 0.7587,
794
+ "step": 1120
795
+ },
796
+ {
797
+ "epoch": 0.43511744320369655,
798
+ "grad_norm": 0.19602128863334656,
799
+ "learning_rate": 6.285560182274008e-06,
800
+ "loss": 0.739,
801
+ "step": 1130
802
+ },
803
+ {
804
+ "epoch": 0.43896804004620715,
805
+ "grad_norm": 0.1928829848766327,
806
+ "learning_rate": 6.225200208443936e-06,
807
+ "loss": 0.7629,
808
+ "step": 1140
809
+ },
810
+ {
811
+ "epoch": 0.44281863688871775,
812
+ "grad_norm": 0.18365906178951263,
813
+ "learning_rate": 6.16464966886616e-06,
814
+ "loss": 0.7483,
815
+ "step": 1150
816
+ },
817
+ {
818
+ "epoch": 0.44666923373122835,
819
+ "grad_norm": 0.2175450176000595,
820
+ "learning_rate": 6.103917981478065e-06,
821
+ "loss": 0.7783,
822
+ "step": 1160
823
+ },
824
+ {
825
+ "epoch": 0.45051983057373896,
826
+ "grad_norm": 0.16961634159088135,
827
+ "learning_rate": 6.043014592392489e-06,
828
+ "loss": 0.7847,
829
+ "step": 1170
830
+ },
831
+ {
832
+ "epoch": 0.4543704274162495,
833
+ "grad_norm": 0.1754491925239563,
834
+ "learning_rate": 5.981948974428485e-06,
835
+ "loss": 0.7644,
836
+ "step": 1180
837
+ },
838
+ {
839
+ "epoch": 0.4582210242587601,
840
+ "grad_norm": 0.17442011833190918,
841
+ "learning_rate": 5.920730625637934e-06,
842
+ "loss": 0.7413,
843
+ "step": 1190
844
+ },
845
+ {
846
+ "epoch": 0.4620716211012707,
847
+ "grad_norm": 0.18325604498386383,
848
+ "learning_rate": 5.8593690678282355e-06,
849
+ "loss": 0.7496,
850
+ "step": 1200
851
+ },
852
+ {
853
+ "epoch": 0.4659222179437813,
854
+ "grad_norm": 0.1785241663455963,
855
+ "learning_rate": 5.797873845081301e-06,
856
+ "loss": 0.7487,
857
+ "step": 1210
858
+ },
859
+ {
860
+ "epoch": 0.46977281478629185,
861
+ "grad_norm": 0.18753831088542938,
862
+ "learning_rate": 5.736254522269075e-06,
863
+ "loss": 0.7735,
864
+ "step": 1220
865
+ },
866
+ {
867
+ "epoch": 0.47362341162880245,
868
+ "grad_norm": 0.17363274097442627,
869
+ "learning_rate": 5.6745206835658386e-06,
870
+ "loss": 0.7696,
871
+ "step": 1230
872
+ },
873
+ {
874
+ "epoch": 0.47747400847131305,
875
+ "grad_norm": 0.1744495928287506,
876
+ "learning_rate": 5.612681930957495e-06,
877
+ "loss": 0.7479,
878
+ "step": 1240
879
+ },
880
+ {
881
+ "epoch": 0.48132460531382365,
882
+ "grad_norm": 0.1676625907421112,
883
+ "learning_rate": 5.550747882748095e-06,
884
+ "loss": 0.7416,
885
+ "step": 1250
886
+ },
887
+ {
888
+ "epoch": 0.48517520215633425,
889
+ "grad_norm": 0.19166749715805054,
890
+ "learning_rate": 5.4887281720638195e-06,
891
+ "loss": 0.7544,
892
+ "step": 1260
893
+ },
894
+ {
895
+ "epoch": 0.4890257989988448,
896
+ "grad_norm": 0.18624542653560638,
897
+ "learning_rate": 5.42663244535466e-06,
898
+ "loss": 0.7313,
899
+ "step": 1270
900
+ },
901
+ {
902
+ "epoch": 0.4928763958413554,
903
+ "grad_norm": 0.18978054821491241,
904
+ "learning_rate": 5.3644703608940205e-06,
905
+ "loss": 0.7477,
906
+ "step": 1280
907
+ },
908
+ {
909
+ "epoch": 0.496726992683866,
910
+ "grad_norm": 0.1702014058828354,
911
+ "learning_rate": 5.302251587276491e-06,
912
+ "loss": 0.7606,
913
+ "step": 1290
914
+ },
915
+ {
916
+ "epoch": 0.5005775895263765,
917
+ "grad_norm": 0.1691051870584488,
918
+ "learning_rate": 5.2399858019140005e-06,
919
+ "loss": 0.7502,
920
+ "step": 1300
921
+ },
922
+ {
923
+ "epoch": 0.5044281863688872,
924
+ "grad_norm": 0.18141791224479675,
925
+ "learning_rate": 5.177682689530615e-06,
926
+ "loss": 0.769,
927
+ "step": 1310
928
+ },
929
+ {
930
+ "epoch": 0.5082787832113977,
931
+ "grad_norm": 0.18980136513710022,
932
+ "learning_rate": 5.11535194065619e-06,
933
+ "loss": 0.7402,
934
+ "step": 1320
935
+ },
936
+ {
937
+ "epoch": 0.5121293800539084,
938
+ "grad_norm": 0.18845374882221222,
939
+ "learning_rate": 5.053003250119113e-06,
940
+ "loss": 0.7489,
941
+ "step": 1330
942
+ },
943
+ {
944
+ "epoch": 0.515979976896419,
945
+ "grad_norm": 0.1715012639760971,
946
+ "learning_rate": 4.9906463155383925e-06,
947
+ "loss": 0.7537,
948
+ "step": 1340
949
+ },
950
+ {
951
+ "epoch": 0.5198305737389295,
952
+ "grad_norm": 0.1746325045824051,
953
+ "learning_rate": 4.9282908358153046e-06,
954
+ "loss": 0.7514,
955
+ "step": 1350
956
+ },
957
+ {
958
+ "epoch": 0.5236811705814401,
959
+ "grad_norm": 0.1899954229593277,
960
+ "learning_rate": 4.8659465096248345e-06,
961
+ "loss": 0.7675,
962
+ "step": 1360
963
+ },
964
+ {
965
+ "epoch": 0.5275317674239507,
966
+ "grad_norm": 0.1937057077884674,
967
+ "learning_rate": 4.803623033907169e-06,
968
+ "loss": 0.7605,
969
+ "step": 1370
970
+ },
971
+ {
972
+ "epoch": 0.5313823642664613,
973
+ "grad_norm": 0.17395003139972687,
974
+ "learning_rate": 4.741330102359441e-06,
975
+ "loss": 0.7733,
976
+ "step": 1380
977
+ },
978
+ {
979
+ "epoch": 0.5352329611089719,
980
+ "grad_norm": 0.18103450536727905,
981
+ "learning_rate": 4.679077403927996e-06,
982
+ "loss": 0.7495,
983
+ "step": 1390
984
+ },
985
+ {
986
+ "epoch": 0.5390835579514824,
987
+ "grad_norm": 0.17956452071666718,
988
+ "learning_rate": 4.616874621301373e-06,
989
+ "loss": 0.7505,
990
+ "step": 1400
991
+ },
992
+ {
993
+ "epoch": 0.5429341547939931,
994
+ "grad_norm": 0.19326525926589966,
995
+ "learning_rate": 4.554731429404293e-06,
996
+ "loss": 0.7671,
997
+ "step": 1410
998
+ },
999
+ {
1000
+ "epoch": 0.5467847516365036,
1001
+ "grad_norm": 0.19136084616184235,
1002
+ "learning_rate": 4.492657493892822e-06,
1003
+ "loss": 0.751,
1004
+ "step": 1420
1005
+ },
1006
+ {
1007
+ "epoch": 0.5506353484790143,
1008
+ "grad_norm": 0.18546146154403687,
1009
+ "learning_rate": 4.430662469650999e-06,
1010
+ "loss": 0.7645,
1011
+ "step": 1430
1012
+ },
1013
+ {
1014
+ "epoch": 0.5544859453215248,
1015
+ "grad_norm": 0.1921004354953766,
1016
+ "learning_rate": 4.368755999289118e-06,
1017
+ "loss": 0.7642,
1018
+ "step": 1440
1019
+ },
1020
+ {
1021
+ "epoch": 0.5583365421640354,
1022
+ "grad_norm": 0.18836651742458344,
1023
+ "learning_rate": 4.306947711643949e-06,
1024
+ "loss": 0.7489,
1025
+ "step": 1450
1026
+ },
1027
+ {
1028
+ "epoch": 0.562187139006546,
1029
+ "grad_norm": 0.17771585285663605,
1030
+ "learning_rate": 4.245247220281068e-06,
1031
+ "loss": 0.754,
1032
+ "step": 1460
1033
+ },
1034
+ {
1035
+ "epoch": 0.5660377358490566,
1036
+ "grad_norm": 0.1799655705690384,
1037
+ "learning_rate": 4.183664121999587e-06,
1038
+ "loss": 0.7505,
1039
+ "step": 1470
1040
+ },
1041
+ {
1042
+ "epoch": 0.5698883326915672,
1043
+ "grad_norm": 0.18300896883010864,
1044
+ "learning_rate": 4.122207995339474e-06,
1045
+ "loss": 0.7434,
1046
+ "step": 1480
1047
+ },
1048
+ {
1049
+ "epoch": 0.5737389295340778,
1050
+ "grad_norm": 0.17588919401168823,
1051
+ "learning_rate": 4.060888399091734e-06,
1052
+ "loss": 0.753,
1053
+ "step": 1490
1054
+ },
1055
+ {
1056
+ "epoch": 0.5775895263765883,
1057
+ "grad_norm": 0.17849931120872498,
1058
+ "learning_rate": 3.999714870811639e-06,
1059
+ "loss": 0.7638,
1060
+ "step": 1500
1061
+ },
1062
+ {
1063
+ "epoch": 0.581440123219099,
1064
+ "grad_norm": 0.17256751656532288,
1065
+ "learning_rate": 3.938696925335275e-06,
1066
+ "loss": 0.7573,
1067
+ "step": 1510
1068
+ },
1069
+ {
1070
+ "epoch": 0.5852907200616095,
1071
+ "grad_norm": 0.18579092621803284,
1072
+ "learning_rate": 3.87784405329962e-06,
1073
+ "loss": 0.7654,
1074
+ "step": 1520
1075
+ },
1076
+ {
1077
+ "epoch": 0.5891413169041202,
1078
+ "grad_norm": 0.16675898432731628,
1079
+ "learning_rate": 3.817165719666382e-06,
1080
+ "loss": 0.7647,
1081
+ "step": 1530
1082
+ },
1083
+ {
1084
+ "epoch": 0.5929919137466307,
1085
+ "grad_norm": 0.18350937962532043,
1086
+ "learning_rate": 3.756671362249841e-06,
1087
+ "loss": 0.7667,
1088
+ "step": 1540
1089
+ },
1090
+ {
1091
+ "epoch": 0.5968425105891413,
1092
+ "grad_norm": 0.17450663447380066,
1093
+ "learning_rate": 3.6963703902488907e-06,
1094
+ "loss": 0.7537,
1095
+ "step": 1550
1096
+ },
1097
+ {
1098
+ "epoch": 0.6006931074316519,
1099
+ "grad_norm": 0.1688166707754135,
1100
+ "learning_rate": 3.6362721827835655e-06,
1101
+ "loss": 0.767,
1102
+ "step": 1560
1103
+ },
1104
+ {
1105
+ "epoch": 0.6045437042741625,
1106
+ "grad_norm": 0.188558429479599,
1107
+ "learning_rate": 3.576386087436212e-06,
1108
+ "loss": 0.7708,
1109
+ "step": 1570
1110
+ },
1111
+ {
1112
+ "epoch": 0.608394301116673,
1113
+ "grad_norm": 0.19062143564224243,
1114
+ "learning_rate": 3.5167214187975913e-06,
1115
+ "loss": 0.7635,
1116
+ "step": 1580
1117
+ },
1118
+ {
1119
+ "epoch": 0.6122448979591837,
1120
+ "grad_norm": 0.1638304740190506,
1121
+ "learning_rate": 3.457287457018086e-06,
1122
+ "loss": 0.7597,
1123
+ "step": 1590
1124
+ },
1125
+ {
1126
+ "epoch": 0.6160954948016942,
1127
+ "grad_norm": 0.17249764502048492,
1128
+ "learning_rate": 3.3980934463643003e-06,
1129
+ "loss": 0.7545,
1130
+ "step": 1600
1131
+ },
1132
+ {
1133
+ "epoch": 0.6199460916442049,
1134
+ "grad_norm": 0.15984077751636505,
1135
+ "learning_rate": 3.3391485937812053e-06,
1136
+ "loss": 0.7327,
1137
+ "step": 1610
1138
+ },
1139
+ {
1140
+ "epoch": 0.6237966884867154,
1141
+ "grad_norm": 0.17644712328910828,
1142
+ "learning_rate": 3.280462067460115e-06,
1143
+ "loss": 0.7336,
1144
+ "step": 1620
1145
+ },
1146
+ {
1147
+ "epoch": 0.627647285329226,
1148
+ "grad_norm": 0.17418861389160156,
1149
+ "learning_rate": 3.222042995412669e-06,
1150
+ "loss": 0.7594,
1151
+ "step": 1630
1152
+ },
1153
+ {
1154
+ "epoch": 0.6314978821717366,
1155
+ "grad_norm": 0.16347767412662506,
1156
+ "learning_rate": 3.163900464051089e-06,
1157
+ "loss": 0.7509,
1158
+ "step": 1640
1159
+ },
1160
+ {
1161
+ "epoch": 0.6353484790142472,
1162
+ "grad_norm": 0.18578943610191345,
1163
+ "learning_rate": 3.1060435167748826e-06,
1164
+ "loss": 0.7659,
1165
+ "step": 1650
1166
+ },
1167
+ {
1168
+ "epoch": 0.6391990758567578,
1169
+ "grad_norm": 0.17990849912166595,
1170
+ "learning_rate": 3.048481152564253e-06,
1171
+ "loss": 0.7423,
1172
+ "step": 1660
1173
+ },
1174
+ {
1175
+ "epoch": 0.6430496726992684,
1176
+ "grad_norm": 0.19623976945877075,
1177
+ "learning_rate": 2.9912223245804017e-06,
1178
+ "loss": 0.7603,
1179
+ "step": 1670
1180
+ },
1181
+ {
1182
+ "epoch": 0.6469002695417789,
1183
+ "grad_norm": 0.18042437732219696,
1184
+ "learning_rate": 2.934275938772981e-06,
1185
+ "loss": 0.7532,
1186
+ "step": 1680
1187
+ },
1188
+ {
1189
+ "epoch": 0.6507508663842896,
1190
+ "grad_norm": 0.19027398526668549,
1191
+ "learning_rate": 2.8776508524948676e-06,
1192
+ "loss": 0.7483,
1193
+ "step": 1690
1194
+ },
1195
+ {
1196
+ "epoch": 0.6546014632268001,
1197
+ "grad_norm": 0.17514239251613617,
1198
+ "learning_rate": 2.821355873124503e-06,
1199
+ "loss": 0.7504,
1200
+ "step": 1700
1201
+ },
1202
+ {
1203
+ "epoch": 0.6584520600693108,
1204
+ "grad_norm": 0.19439485669136047,
1205
+ "learning_rate": 2.7653997566960144e-06,
1206
+ "loss": 0.7557,
1207
+ "step": 1710
1208
+ },
1209
+ {
1210
+ "epoch": 0.6623026569118213,
1211
+ "grad_norm": 0.1931449919939041,
1212
+ "learning_rate": 2.709791206537309e-06,
1213
+ "loss": 0.7476,
1214
+ "step": 1720
1215
+ },
1216
+ {
1217
+ "epoch": 0.6661532537543319,
1218
+ "grad_norm": 0.19229690730571747,
1219
+ "learning_rate": 2.6545388719163747e-06,
1220
+ "loss": 0.7553,
1221
+ "step": 1730
1222
+ },
1223
+ {
1224
+ "epoch": 0.6700038505968425,
1225
+ "grad_norm": 0.17981812357902527,
1226
+ "learning_rate": 2.599651346695979e-06,
1227
+ "loss": 0.7627,
1228
+ "step": 1740
1229
+ },
1230
+ {
1231
+ "epoch": 0.6738544474393531,
1232
+ "grad_norm": 0.16985270380973816,
1233
+ "learning_rate": 2.545137167997007e-06,
1234
+ "loss": 0.7554,
1235
+ "step": 1750
1236
+ },
1237
+ {
1238
+ "epoch": 0.6777050442818637,
1239
+ "grad_norm": 0.1761035919189453,
1240
+ "learning_rate": 2.4910048148705972e-06,
1241
+ "loss": 0.7492,
1242
+ "step": 1760
1243
+ },
1244
+ {
1245
+ "epoch": 0.6815556411243743,
1246
+ "grad_norm": 0.1851026713848114,
1247
+ "learning_rate": 2.4372627069793327e-06,
1248
+ "loss": 0.7835,
1249
+ "step": 1770
1250
+ },
1251
+ {
1252
+ "epoch": 0.6854062379668848,
1253
+ "grad_norm": 0.17383883893489838,
1254
+ "learning_rate": 2.3839192032876486e-06,
1255
+ "loss": 0.7605,
1256
+ "step": 1780
1257
+ },
1258
+ {
1259
+ "epoch": 0.6892568348093955,
1260
+ "grad_norm": 0.18686991930007935,
1261
+ "learning_rate": 2.3309826007617047e-06,
1262
+ "loss": 0.7768,
1263
+ "step": 1790
1264
+ },
1265
+ {
1266
+ "epoch": 0.693107431651906,
1267
+ "grad_norm": 0.17830029129981995,
1268
+ "learning_rate": 2.278461133078881e-06,
1269
+ "loss": 0.7452,
1270
+ "step": 1800
1271
+ },
1272
+ {
1273
+ "epoch": 0.6969580284944167,
1274
+ "grad_norm": 0.17917726933956146,
1275
+ "learning_rate": 2.2263629693471258e-06,
1276
+ "loss": 0.7394,
1277
+ "step": 1810
1278
+ },
1279
+ {
1280
+ "epoch": 0.7008086253369272,
1281
+ "grad_norm": 0.17048080265522003,
1282
+ "learning_rate": 2.1746962128343414e-06,
1283
+ "loss": 0.7619,
1284
+ "step": 1820
1285
+ },
1286
+ {
1287
+ "epoch": 0.7046592221794378,
1288
+ "grad_norm": 0.1804504096508026,
1289
+ "learning_rate": 2.1234688997080183e-06,
1290
+ "loss": 0.7452,
1291
+ "step": 1830
1292
+ },
1293
+ {
1294
+ "epoch": 0.7085098190219484,
1295
+ "grad_norm": 0.1778019219636917,
1296
+ "learning_rate": 2.0726889977853053e-06,
1297
+ "loss": 0.7507,
1298
+ "step": 1840
1299
+ },
1300
+ {
1301
+ "epoch": 0.712360415864459,
1302
+ "grad_norm": 0.1936429738998413,
1303
+ "learning_rate": 2.022364405293703e-06,
1304
+ "loss": 0.7655,
1305
+ "step": 1850
1306
+ },
1307
+ {
1308
+ "epoch": 0.7162110127069696,
1309
+ "grad_norm": 0.17548587918281555,
1310
+ "learning_rate": 1.9725029496425814e-06,
1311
+ "loss": 0.7626,
1312
+ "step": 1860
1313
+ },
1314
+ {
1315
+ "epoch": 0.7200616095494802,
1316
+ "grad_norm": 0.172990620136261,
1317
+ "learning_rate": 1.923112386205727e-06,
1318
+ "loss": 0.7526,
1319
+ "step": 1870
1320
+ },
1321
+ {
1322
+ "epoch": 0.7239122063919907,
1323
+ "grad_norm": 0.17536665499210358,
1324
+ "learning_rate": 1.874200397115079e-06,
1325
+ "loss": 0.7639,
1326
+ "step": 1880
1327
+ },
1328
+ {
1329
+ "epoch": 0.7277628032345014,
1330
+ "grad_norm": 0.1824454516172409,
1331
+ "learning_rate": 1.825774590065857e-06,
1332
+ "loss": 0.7493,
1333
+ "step": 1890
1334
+ },
1335
+ {
1336
+ "epoch": 0.7316134000770119,
1337
+ "grad_norm": 0.18500660359859467,
1338
+ "learning_rate": 1.7778424971332813e-06,
1339
+ "loss": 0.7605,
1340
+ "step": 1900
1341
+ },
1342
+ {
1343
+ "epoch": 0.7354639969195226,
1344
+ "grad_norm": 0.17587782442569733,
1345
+ "learning_rate": 1.7304115736010407e-06,
1346
+ "loss": 0.7576,
1347
+ "step": 1910
1348
+ },
1349
+ {
1350
+ "epoch": 0.7393145937620331,
1351
+ "grad_norm": 0.17936934530735016,
1352
+ "learning_rate": 1.6834891968017108e-06,
1353
+ "loss": 0.7475,
1354
+ "step": 1920
1355
+ },
1356
+ {
1357
+ "epoch": 0.7431651906045437,
1358
+ "grad_norm": 0.187777578830719,
1359
+ "learning_rate": 1.6370826649692884e-06,
1360
+ "loss": 0.7666,
1361
+ "step": 1930
1362
+ },
1363
+ {
1364
+ "epoch": 0.7470157874470543,
1365
+ "grad_norm": 0.17362777888774872,
1366
+ "learning_rate": 1.5911991961040463e-06,
1367
+ "loss": 0.7637,
1368
+ "step": 1940
1369
+ },
1370
+ {
1371
+ "epoch": 0.7508663842895649,
1372
+ "grad_norm": 0.17964965105056763,
1373
+ "learning_rate": 1.545845926849851e-06,
1374
+ "loss": 0.7465,
1375
+ "step": 1950
1376
+ },
1377
+ {
1378
+ "epoch": 0.7547169811320755,
1379
+ "grad_norm": 0.1888580173254013,
1380
+ "learning_rate": 1.5010299113841397e-06,
1381
+ "loss": 0.7725,
1382
+ "step": 1960
1383
+ },
1384
+ {
1385
+ "epoch": 0.7585675779745861,
1386
+ "grad_norm": 0.18564380705356598,
1387
+ "learning_rate": 1.4567581203207238e-06,
1388
+ "loss": 0.7632,
1389
+ "step": 1970
1390
+ },
1391
+ {
1392
+ "epoch": 0.7624181748170966,
1393
+ "grad_norm": 0.1886736899614334,
1394
+ "learning_rate": 1.413037439625593e-06,
1395
+ "loss": 0.7615,
1396
+ "step": 1980
1397
+ },
1398
+ {
1399
+ "epoch": 0.7662687716596073,
1400
+ "grad_norm": 0.20028401911258698,
1401
+ "learning_rate": 1.3698746695458847e-06,
1402
+ "loss": 0.7498,
1403
+ "step": 1990
1404
+ },
1405
+ {
1406
+ "epoch": 0.7701193685021178,
1407
+ "grad_norm": 0.17617711424827576,
1408
+ "learning_rate": 1.3272765235521745e-06,
1409
+ "loss": 0.7526,
1410
+ "step": 2000
1411
+ },
1412
+ {
1413
+ "epoch": 0.7739699653446284,
1414
+ "grad_norm": 0.1668679416179657,
1415
+ "learning_rate": 1.2852496272942877e-06,
1416
+ "loss": 0.7576,
1417
+ "step": 2010
1418
+ },
1419
+ {
1420
+ "epoch": 0.777820562187139,
1421
+ "grad_norm": 0.1698932945728302,
1422
+ "learning_rate": 1.2438005175707396e-06,
1423
+ "loss": 0.7406,
1424
+ "step": 2020
1425
+ },
1426
+ {
1427
+ "epoch": 0.7816711590296496,
1428
+ "grad_norm": 0.17694905400276184,
1429
+ "learning_rate": 1.2029356413120297e-06,
1430
+ "loss": 0.7345,
1431
+ "step": 2030
1432
+ },
1433
+ {
1434
+ "epoch": 0.7855217558721602,
1435
+ "grad_norm": 0.18086999654769897,
1436
+ "learning_rate": 1.1626613545778786e-06,
1437
+ "loss": 0.7504,
1438
+ "step": 2040
1439
+ },
1440
+ {
1441
+ "epoch": 0.7893723527146708,
1442
+ "grad_norm": 0.1709999144077301,
1443
+ "learning_rate": 1.1229839215686294e-06,
1444
+ "loss": 0.7531,
1445
+ "step": 2050
1446
+ },
1447
+ {
1448
+ "epoch": 0.7932229495571813,
1449
+ "grad_norm": 0.1679164618253708,
1450
+ "learning_rate": 1.0839095136509188e-06,
1451
+ "loss": 0.7377,
1452
+ "step": 2060
1453
+ },
1454
+ {
1455
+ "epoch": 0.797073546399692,
1456
+ "grad_norm": 0.18239666521549225,
1457
+ "learning_rate": 1.045444208397791e-06,
1458
+ "loss": 0.7549,
1459
+ "step": 2070
1460
+ },
1461
+ {
1462
+ "epoch": 0.8009241432422025,
1463
+ "grad_norm": 0.16451692581176758,
1464
+ "learning_rate": 1.007593988643402e-06,
1465
+ "loss": 0.7322,
1466
+ "step": 2080
1467
+ },
1468
+ {
1469
+ "epoch": 0.8047747400847132,
1470
+ "grad_norm": 0.16594333946704865,
1471
+ "learning_rate": 9.703647415524613e-07,
1472
+ "loss": 0.7586,
1473
+ "step": 2090
1474
+ },
1475
+ {
1476
+ "epoch": 0.8086253369272237,
1477
+ "grad_norm": 0.17118953168392181,
1478
+ "learning_rate": 9.337622577045485e-07,
1479
+ "loss": 0.7509,
1480
+ "step": 2100
1481
+ },
1482
+ {
1483
+ "epoch": 0.8124759337697343,
1484
+ "grad_norm": 0.1756354570388794,
1485
+ "learning_rate": 8.977922301934588e-07,
1486
+ "loss": 0.7537,
1487
+ "step": 2110
1488
+ },
1489
+ {
1490
+ "epoch": 0.8163265306122449,
1491
+ "grad_norm": 0.18676461279392242,
1492
+ "learning_rate": 8.624602537417009e-07,
1493
+ "loss": 0.7677,
1494
+ "step": 2120
1495
+ },
1496
+ {
1497
+ "epoch": 0.8201771274547555,
1498
+ "grad_norm": 0.1765369176864624,
1499
+ "learning_rate": 8.277718238303123e-07,
1500
+ "loss": 0.7493,
1501
+ "step": 2130
1502
+ },
1503
+ {
1504
+ "epoch": 0.8240277242972661,
1505
+ "grad_norm": 0.18006673455238342,
1506
+ "learning_rate": 7.937323358440935e-07,
1507
+ "loss": 0.752,
1508
+ "step": 2140
1509
+ },
1510
+ {
1511
+ "epoch": 0.8278783211397767,
1512
+ "grad_norm": 0.17502741515636444,
1513
+ "learning_rate": 7.603470842324223e-07,
1514
+ "loss": 0.7408,
1515
+ "step": 2150
1516
+ },
1517
+ {
1518
+ "epoch": 0.8317289179822872,
1519
+ "grad_norm": 0.17139089107513428,
1520
+ "learning_rate": 7.276212616857575e-07,
1521
+ "loss": 0.762,
1522
+ "step": 2160
1523
+ },
1524
+ {
1525
+ "epoch": 0.8355795148247979,
1526
+ "grad_norm": 0.17566995322704315,
1527
+ "learning_rate": 6.955599583279837e-07,
1528
+ "loss": 0.7556,
1529
+ "step": 2170
1530
+ },
1531
+ {
1532
+ "epoch": 0.8394301116673084,
1533
+ "grad_norm": 0.17328403890132904,
1534
+ "learning_rate": 6.641681609246981e-07,
1535
+ "loss": 0.7509,
1536
+ "step": 2180
1537
+ },
1538
+ {
1539
+ "epoch": 0.8432807085098191,
1540
+ "grad_norm": 0.18636570870876312,
1541
+ "learning_rate": 6.334507521075711e-07,
1542
+ "loss": 0.7511,
1543
+ "step": 2190
1544
+ },
1545
+ {
1546
+ "epoch": 0.8471313053523296,
1547
+ "grad_norm": 0.18551261723041534,
1548
+ "learning_rate": 6.034125096149179e-07,
1549
+ "loss": 0.7534,
1550
+ "step": 2200
1551
+ },
1552
+ {
1553
+ "epoch": 0.8509819021948402,
1554
+ "grad_norm": 0.17033065855503082,
1555
+ "learning_rate": 5.740581055485722e-07,
1556
+ "loss": 0.7259,
1557
+ "step": 2210
1558
+ },
1559
+ {
1560
+ "epoch": 0.8548324990373508,
1561
+ "grad_norm": 0.16508474946022034,
1562
+ "learning_rate": 5.453921056471961e-07,
1563
+ "loss": 0.7589,
1564
+ "step": 2220
1565
+ },
1566
+ {
1567
+ "epoch": 0.8586830958798614,
1568
+ "grad_norm": 0.18522781133651733,
1569
+ "learning_rate": 5.174189685761288e-07,
1570
+ "loss": 0.7517,
1571
+ "step": 2230
1572
+ },
1573
+ {
1574
+ "epoch": 0.862533692722372,
1575
+ "grad_norm": 0.17790642380714417,
1576
+ "learning_rate": 4.901430452338979e-07,
1577
+ "loss": 0.762,
1578
+ "step": 2240
1579
+ },
1580
+ {
1581
+ "epoch": 0.8663842895648826,
1582
+ "grad_norm": 0.17928239703178406,
1583
+ "learning_rate": 4.6356857807548286e-07,
1584
+ "loss": 0.7508,
1585
+ "step": 2250
1586
+ },
1587
+ {
1588
+ "epoch": 0.8702348864073931,
1589
+ "grad_norm": 0.20531749725341797,
1590
+ "learning_rate": 4.376997004524541e-07,
1591
+ "loss": 0.7327,
1592
+ "step": 2260
1593
+ },
1594
+ {
1595
+ "epoch": 0.8740854832499038,
1596
+ "grad_norm": 0.17030031979084015,
1597
+ "learning_rate": 4.12540435970073e-07,
1598
+ "loss": 0.7519,
1599
+ "step": 2270
1600
+ },
1601
+ {
1602
+ "epoch": 0.8779360800924143,
1603
+ "grad_norm": 0.17137210071086884,
1604
+ "learning_rate": 3.880946978614703e-07,
1605
+ "loss": 0.7578,
1606
+ "step": 2280
1607
+ },
1608
+ {
1609
+ "epoch": 0.881786676934925,
1610
+ "grad_norm": 0.1773299127817154,
1611
+ "learning_rate": 3.643662883789878e-07,
1612
+ "loss": 0.7609,
1613
+ "step": 2290
1614
+ },
1615
+ {
1616
+ "epoch": 0.8856372737774355,
1617
+ "grad_norm": 0.17004545032978058,
1618
+ "learning_rate": 3.41358898202781e-07,
1619
+ "loss": 0.742,
1620
+ "step": 2300
1621
+ },
1622
+ {
1623
+ "epoch": 0.889487870619946,
1624
+ "grad_norm": 0.16686105728149414,
1625
+ "learning_rate": 3.190761058667741e-07,
1626
+ "loss": 0.7532,
1627
+ "step": 2310
1628
+ },
1629
+ {
1630
+ "epoch": 0.8933384674624567,
1631
+ "grad_norm": 0.1688443273305893,
1632
+ "learning_rate": 2.9752137720206463e-07,
1633
+ "loss": 0.7552,
1634
+ "step": 2320
1635
+ },
1636
+ {
1637
+ "epoch": 0.8971890643049673,
1638
+ "grad_norm": 0.18723958730697632,
1639
+ "learning_rate": 2.7669806479785067e-07,
1640
+ "loss": 0.7651,
1641
+ "step": 2330
1642
+ },
1643
+ {
1644
+ "epoch": 0.9010396611474779,
1645
+ "grad_norm": 0.16943126916885376,
1646
+ "learning_rate": 2.566094074799763e-07,
1647
+ "loss": 0.7564,
1648
+ "step": 2340
1649
+ },
1650
+ {
1651
+ "epoch": 0.9048902579899885,
1652
+ "grad_norm": 0.17619098722934723,
1653
+ "learning_rate": 2.3725852980716557e-07,
1654
+ "loss": 0.7368,
1655
+ "step": 2350
1656
+ },
1657
+ {
1658
+ "epoch": 0.908740854832499,
1659
+ "grad_norm": 0.16992603242397308,
1660
+ "learning_rate": 2.1864844158503983e-07,
1661
+ "loss": 0.7529,
1662
+ "step": 2360
1663
+ },
1664
+ {
1665
+ "epoch": 0.9125914516750097,
1666
+ "grad_norm": 0.19074392318725586,
1667
+ "learning_rate": 2.007820373979702e-07,
1668
+ "loss": 0.7462,
1669
+ "step": 2370
1670
+ },
1671
+ {
1672
+ "epoch": 0.9164420485175202,
1673
+ "grad_norm": 0.16872762143611908,
1674
+ "learning_rate": 1.8366209615886532e-07,
1675
+ "loss": 0.7555,
1676
+ "step": 2380
1677
+ },
1678
+ {
1679
+ "epoch": 0.9202926453600309,
1680
+ "grad_norm": 0.17569130659103394,
1681
+ "learning_rate": 1.6729128067693613e-07,
1682
+ "loss": 0.7686,
1683
+ "step": 2390
1684
+ },
1685
+ {
1686
+ "epoch": 0.9241432422025414,
1687
+ "grad_norm": 0.19139139354228973,
1688
+ "learning_rate": 1.5167213724353426e-07,
1689
+ "loss": 0.7614,
1690
+ "step": 2400
1691
+ },
1692
+ {
1693
+ "epoch": 0.927993839045052,
1694
+ "grad_norm": 0.17088989913463593,
1695
+ "learning_rate": 1.3680709523610058e-07,
1696
+ "loss": 0.7399,
1697
+ "step": 2410
1698
+ },
1699
+ {
1700
+ "epoch": 0.9318444358875626,
1701
+ "grad_norm": 0.17103758454322815,
1702
+ "learning_rate": 1.2269846674030418e-07,
1703
+ "loss": 0.7706,
1704
+ "step": 2420
1705
+ },
1706
+ {
1707
+ "epoch": 0.9356950327300732,
1708
+ "grad_norm": 0.17876964807510376,
1709
+ "learning_rate": 1.0934844619042595e-07,
1710
+ "loss": 0.7628,
1711
+ "step": 2430
1712
+ },
1713
+ {
1714
+ "epoch": 0.9395456295725837,
1715
+ "grad_norm": 0.17868508398532867,
1716
+ "learning_rate": 9.675911002803961e-08,
1717
+ "loss": 0.7534,
1718
+ "step": 2440
1719
+ },
1720
+ {
1721
+ "epoch": 0.9433962264150944,
1722
+ "grad_norm": 0.18381300568580627,
1723
+ "learning_rate": 8.493241637904381e-08,
1724
+ "loss": 0.7405,
1725
+ "step": 2450
1726
+ },
1727
+ {
1728
+ "epoch": 0.9472468232576049,
1729
+ "grad_norm": 0.1946459859609604,
1730
+ "learning_rate": 7.387020474909689e-08,
1731
+ "loss": 0.7686,
1732
+ "step": 2460
1733
+ },
1734
+ {
1735
+ "epoch": 0.9510974201001156,
1736
+ "grad_norm": 0.18634933233261108,
1737
+ "learning_rate": 6.357419573750856e-08,
1738
+ "loss": 0.7628,
1739
+ "step": 2470
1740
+ },
1741
+ {
1742
+ "epoch": 0.9549480169426261,
1743
+ "grad_norm": 0.17596927285194397,
1744
+ "learning_rate": 5.4045990769613365e-08,
1745
+ "loss": 0.7496,
1746
+ "step": 2480
1747
+ },
1748
+ {
1749
+ "epoch": 0.9587986137851366,
1750
+ "grad_norm": 0.17036496102809906,
1751
+ "learning_rate": 4.5287071847694434e-08,
1752
+ "loss": 0.7504,
1753
+ "step": 2490
1754
+ },
1755
+ {
1756
+ "epoch": 0.9626492106276473,
1757
+ "grad_norm": 0.17237189412117004,
1758
+ "learning_rate": 3.7298801320467817e-08,
1759
+ "loss": 0.7522,
1760
+ "step": 2500
1761
+ },
1762
+ {
1763
+ "epoch": 0.9664998074701578,
1764
+ "grad_norm": 0.16476574540138245,
1765
+ "learning_rate": 3.0082421671192576e-08,
1766
+ "loss": 0.7513,
1767
+ "step": 2510
1768
+ },
1769
+ {
1770
+ "epoch": 0.9703504043126685,
1771
+ "grad_norm": 0.1790538877248764,
1772
+ "learning_rate": 2.3639055324410355e-08,
1773
+ "loss": 0.7657,
1774
+ "step": 2520
1775
+ },
1776
+ {
1777
+ "epoch": 0.974201001155179,
1778
+ "grad_norm": 0.1770903617143631,
1779
+ "learning_rate": 1.7969704471369477e-08,
1780
+ "loss": 0.7463,
1781
+ "step": 2530
1782
+ },
1783
+ {
1784
+ "epoch": 0.9780515979976896,
1785
+ "grad_norm": 0.17102988064289093,
1786
+ "learning_rate": 1.3075250914142413e-08,
1787
+ "loss": 0.7459,
1788
+ "step": 2540
1789
+ },
1790
+ {
1791
+ "epoch": 0.9819021948402002,
1792
+ "grad_norm": 0.16480931639671326,
1793
+ "learning_rate": 8.956455928476049e-09,
1794
+ "loss": 0.7615,
1795
+ "step": 2550
1796
+ },
1797
+ {
1798
+ "epoch": 0.9857527916827108,
1799
+ "grad_norm": 0.16913387179374695,
1800
+ "learning_rate": 5.6139601453786275e-09,
1801
+ "loss": 0.7467,
1802
+ "step": 2560
1803
+ },
1804
+ {
1805
+ "epoch": 0.9896033885252215,
1806
+ "grad_norm": 0.17273816466331482,
1807
+ "learning_rate": 3.0482834514805602e-09,
1808
+ "loss": 0.7434,
1809
+ "step": 2570
1810
+ },
1811
+ {
1812
+ "epoch": 0.993453985367732,
1813
+ "grad_norm": 0.16892074048519135,
1814
+ "learning_rate": 1.2598249081713366e-09,
1815
+ "loss": 0.7343,
1816
+ "step": 2580
1817
+ },
1818
+ {
1819
+ "epoch": 0.9973045822102425,
1820
+ "grad_norm": 0.17840047180652618,
1821
+ "learning_rate": 2.488626895302826e-10,
1822
+ "loss": 0.7662,
1823
+ "step": 2590
1824
+ },
1825
+ {
1826
+ "epoch": 1.0,
1827
+ "step": 2597,
1828
+ "total_flos": 5.740955908008051e+18,
1829
+ "train_loss": 0.7679269160497266,
1830
+ "train_runtime": 14648.2628,
1831
+ "train_samples_per_second": 45.391,
1832
+ "train_steps_per_second": 0.177
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": 5.740955908008051e+18,
1853
+ "train_batch_size": 16,
1854
+ "trial_name": null,
1855
+ "trial_params": null
1856
+ }
continuous/smollm2/mc2_s16_224/finetune/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5550e87528e1a15eebae6cb72aabfb50c56f2bb0a03ccd3417f4d2a8c050f54d
3
+ size 6264
continuous/smollm2/mc2_s16_224/finetune/vocab.json ADDED
The diff for this file is too large to render. See raw diff
 
continuous/smollm2/mc2_s16_224/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": 384,
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": -2,
38
+ "mm_vision_tower": "open_clip_hub:ViT-S-16",
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/mc2/mc2_s16_224.pt",
69
+ "vocab_size": 49152
70
+ }
continuous/smollm2/mc2_s16_224/pretrain/mm_projector.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0022beecd76433b3a5ac5683d24f6bc6dc674fdcb2c56f4b3d6ff9cd514f27bb
3
+ size 19941432
continuous/smollm2/mc2_s16_224/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": 0.8104348182678223,
15
+ "learning_rate": 0.00032142857142857147,
16
+ "loss": 3.6584,
17
+ "step": 10
18
+ },
19
+ {
20
+ "epoch": 0.03669724770642202,
21
+ "grad_norm": 0.18623095750808716,
22
+ "learning_rate": 0.0006785714285714287,
23
+ "loss": 2.9004,
24
+ "step": 20
25
+ },
26
+ {
27
+ "epoch": 0.05504587155963303,
28
+ "grad_norm": 0.09673366695642471,
29
+ "learning_rate": 0.0009999907688176173,
30
+ "loss": 2.768,
31
+ "step": 30
32
+ },
33
+ {
34
+ "epoch": 0.07339449541284404,
35
+ "grad_norm": 0.0940399095416069,
36
+ "learning_rate": 0.0009988834393115766,
37
+ "loss": 2.6803,
38
+ "step": 40
39
+ },
40
+ {
41
+ "epoch": 0.09174311926605505,
42
+ "grad_norm": 0.09001102298498154,
43
+ "learning_rate": 0.0009959345572940772,
44
+ "loss": 2.6408,
45
+ "step": 50
46
+ },
47
+ {
48
+ "epoch": 0.11009174311926606,
49
+ "grad_norm": 0.10121631622314453,
50
+ "learning_rate": 0.0009911550081155983,
51
+ "loss": 2.5961,
52
+ "step": 60
53
+ },
54
+ {
55
+ "epoch": 0.12844036697247707,
56
+ "grad_norm": 0.10346267372369766,
57
+ "learning_rate": 0.0009845624347566433,
58
+ "loss": 2.5647,
59
+ "step": 70
60
+ },
61
+ {
62
+ "epoch": 0.14678899082568808,
63
+ "grad_norm": 0.10935957729816437,
64
+ "learning_rate": 0.0009761811727013547,
65
+ "loss": 2.5371,
66
+ "step": 80
67
+ },
68
+ {
69
+ "epoch": 0.1651376146788991,
70
+ "grad_norm": 0.10484384745359421,
71
+ "learning_rate": 0.0009660421601067666,
72
+ "loss": 2.5161,
73
+ "step": 90
74
+ },
75
+ {
76
+ "epoch": 0.1834862385321101,
77
+ "grad_norm": 0.11571884900331497,
78
+ "learning_rate": 0.0009541828235992926,
79
+ "loss": 2.5022,
80
+ "step": 100
81
+ },
82
+ {
83
+ "epoch": 0.2018348623853211,
84
+ "grad_norm": 0.10674455761909485,
85
+ "learning_rate": 0.0009406469401200151,
86
+ "loss": 2.4788,
87
+ "step": 110
88
+ },
89
+ {
90
+ "epoch": 0.22018348623853212,
91
+ "grad_norm": 0.11135444790124893,
92
+ "learning_rate": 0.0009254844753287492,
93
+ "loss": 2.4674,
94
+ "step": 120
95
+ },
96
+ {
97
+ "epoch": 0.23853211009174313,
98
+ "grad_norm": 0.11348560452461243,
99
+ "learning_rate": 0.0009087513991633924,
100
+ "loss": 2.4376,
101
+ "step": 130
102
+ },
103
+ {
104
+ "epoch": 0.25688073394495414,
105
+ "grad_norm": 0.11167125403881073,
106
+ "learning_rate": 0.0008905094792353917,
107
+ "loss": 2.4149,
108
+ "step": 140
109
+ },
110
+ {
111
+ "epoch": 0.27522935779816515,
112
+ "grad_norm": 0.10143952816724777,
113
+ "learning_rate": 0.0008708260528239789,
114
+ "loss": 2.4111,
115
+ "step": 150
116
+ },
117
+ {
118
+ "epoch": 0.29357798165137616,
119
+ "grad_norm": 0.10321270674467087,
120
+ "learning_rate": 0.0008497737783108237,
121
+ "loss": 2.3863,
122
+ "step": 160
123
+ },
124
+ {
125
+ "epoch": 0.3119266055045872,
126
+ "grad_norm": 0.09816189855337143,
127
+ "learning_rate": 0.0008274303669726426,
128
+ "loss": 2.3754,
129
+ "step": 170
130
+ },
131
+ {
132
+ "epoch": 0.3302752293577982,
133
+ "grad_norm": 0.13637927174568176,
134
+ "learning_rate": 0.0008038782961218137,
135
+ "loss": 2.3608,
136
+ "step": 180
137
+ },
138
+ {
139
+ "epoch": 0.3486238532110092,
140
+ "grad_norm": 0.12092267721891403,
141
+ "learning_rate": 0.000779204504653894,
142
+ "loss": 2.3531,
143
+ "step": 190
144
+ },
145
+ {
146
+ "epoch": 0.3669724770642202,
147
+ "grad_norm": 0.10395198315382004,
148
+ "learning_rate": 0.0007535000721258791,
149
+ "loss": 2.3269,
150
+ "step": 200
151
+ },
152
+ {
153
+ "epoch": 0.3853211009174312,
154
+ "grad_norm": 0.1271607130765915,
155
+ "learning_rate": 0.00072685988254984,
156
+ "loss": 2.3253,
157
+ "step": 210
158
+ },
159
+ {
160
+ "epoch": 0.4036697247706422,
161
+ "grad_norm": 0.09762624651193619,
162
+ "learning_rate": 0.0006993822741429906,
163
+ "loss": 2.331,
164
+ "step": 220
165
+ },
166
+ {
167
+ "epoch": 0.42201834862385323,
168
+ "grad_norm": 0.11271347850561142,
169
+ "learning_rate": 0.0006711686763270818,
170
+ "loss": 2.3207,
171
+ "step": 230
172
+ },
173
+ {
174
+ "epoch": 0.44036697247706424,
175
+ "grad_norm": 0.09513234347105026,
176
+ "learning_rate": 0.0006423232353170831,
177
+ "loss": 2.3126,
178
+ "step": 240
179
+ },
180
+ {
181
+ "epoch": 0.45871559633027525,
182
+ "grad_norm": 0.13796111941337585,
183
+ "learning_rate": 0.0006129524296812335,
184
+ "loss": 2.31,
185
+ "step": 250
186
+ },
187
+ {
188
+ "epoch": 0.47706422018348627,
189
+ "grad_norm": 0.09911558777093887,
190
+ "learning_rate": 0.0005831646772915651,
191
+ "loss": 2.3152,
192
+ "step": 260
193
+ },
194
+ {
195
+ "epoch": 0.4954128440366973,
196
+ "grad_norm": 0.12078234553337097,
197
+ "learning_rate": 0.0005530699351157809,
198
+ "loss": 2.2922,
199
+ "step": 270
200
+ },
201
+ {
202
+ "epoch": 0.5137614678899083,
203
+ "grad_norm": 0.09738811105489731,
204
+ "learning_rate": 0.0005227792933277943,
205
+ "loss": 2.2987,
206
+ "step": 280
207
+ },
208
+ {
209
+ "epoch": 0.5321100917431193,
210
+ "grad_norm": 0.10454349964857101,
211
+ "learning_rate": 0.0004924045652352092,
212
+ "loss": 2.2846,
213
+ "step": 290
214
+ },
215
+ {
216
+ "epoch": 0.5504587155963303,
217
+ "grad_norm": 0.08465027809143066,
218
+ "learning_rate": 0.0004620578745374633,
219
+ "loss": 2.2851,
220
+ "step": 300
221
+ },
222
+ {
223
+ "epoch": 0.5688073394495413,
224
+ "grad_norm": 0.09426629543304443,
225
+ "learning_rate": 0.0004318512414382059,
226
+ "loss": 2.291,
227
+ "step": 310
228
+ },
229
+ {
230
+ "epoch": 0.5871559633027523,
231
+ "grad_norm": 0.09029823541641235,
232
+ "learning_rate": 0.0004018961691397148,
233
+ "loss": 2.2884,
234
+ "step": 320
235
+ },
236
+ {
237
+ "epoch": 0.6055045871559633,
238
+ "grad_norm": 0.08632921427488327,
239
+ "learning_rate": 0.0003723032322457458,
240
+ "loss": 2.2769,
241
+ "step": 330
242
+ },
243
+ {
244
+ "epoch": 0.6238532110091743,
245
+ "grad_norm": 0.1282574087381363,
246
+ "learning_rate": 0.0003431816685921625,
247
+ "loss": 2.2782,
248
+ "step": 340
249
+ },
250
+ {
251
+ "epoch": 0.6422018348623854,
252
+ "grad_norm": 0.09599511325359344,
253
+ "learning_rate": 0.0003146389760120416,
254
+ "loss": 2.2802,
255
+ "step": 350
256
+ },
257
+ {
258
+ "epoch": 0.6605504587155964,
259
+ "grad_norm": 0.10009565949440002,
260
+ "learning_rate": 0.00028678051552373485,
261
+ "loss": 2.2805,
262
+ "step": 360
263
+ },
264
+ {
265
+ "epoch": 0.6788990825688074,
266
+ "grad_norm": 0.10089796781539917,
267
+ "learning_rate": 0.0002597091224066581,
268
+ "loss": 2.2767,
269
+ "step": 370
270
+ },
271
+ {
272
+ "epoch": 0.6972477064220184,
273
+ "grad_norm": 0.07849918305873871,
274
+ "learning_rate": 0.0002335247266004629,
275
+ "loss": 2.2802,
276
+ "step": 380
277
+ },
278
+ {
279
+ "epoch": 0.7155963302752294,
280
+ "grad_norm": 0.08338628709316254,
281
+ "learning_rate": 0.000208323983828828,
282
+ "loss": 2.2699,
283
+ "step": 390
284
+ },
285
+ {
286
+ "epoch": 0.7339449541284404,
287
+ "grad_norm": 0.08370406180620193,
288
+ "learning_rate": 0.0001841999188095224,
289
+ "loss": 2.2636,
290
+ "step": 400
291
+ },
292
+ {
293
+ "epoch": 0.7522935779816514,
294
+ "grad_norm": 0.07809025049209595,
295
+ "learning_rate": 0.00016124158186777676,
296
+ "loss": 2.2681,
297
+ "step": 410
298
+ },
299
+ {
300
+ "epoch": 0.7706422018348624,
301
+ "grad_norm": 0.08996189385652542,
302
+ "learning_rate": 0.0001395337202205211,
303
+ "loss": 2.2647,
304
+ "step": 420
305
+ },
306
+ {
307
+ "epoch": 0.7889908256880734,
308
+ "grad_norm": 0.08842233568429947,
309
+ "learning_rate": 0.00011915646514489292,
310
+ "loss": 2.2626,
311
+ "step": 430
312
+ },
313
+ {
314
+ "epoch": 0.8073394495412844,
315
+ "grad_norm": 0.09334389120340347,
316
+ "learning_rate": 0.00010018503618578818,
317
+ "loss": 2.2704,
318
+ "step": 440
319
+ },
320
+ {
321
+ "epoch": 0.8256880733944955,
322
+ "grad_norm": 0.08699481189250946,
323
+ "learning_rate": 8.268946349432583e-05,
324
+ "loss": 2.2655,
325
+ "step": 450
326
+ },
327
+ {
328
+ "epoch": 0.8440366972477065,
329
+ "grad_norm": 0.08530820906162262,
330
+ "learning_rate": 6.673432932217117e-05,
331
+ "loss": 2.2571,
332
+ "step": 460
333
+ },
334
+ {
335
+ "epoch": 0.8623853211009175,
336
+ "grad_norm": 0.07903815805912018,
337
+ "learning_rate": 5.2378529625954684e-05,
338
+ "loss": 2.2496,
339
+ "step": 470
340
+ },
341
+ {
342
+ "epoch": 0.8807339449541285,
343
+ "grad_norm": 0.07870271056890488,
344
+ "learning_rate": 3.9675056661785556e-05,
345
+ "loss": 2.2557,
346
+ "step": 480
347
+ },
348
+ {
349
+ "epoch": 0.8990825688073395,
350
+ "grad_norm": 0.07663509249687195,
351
+ "learning_rate": 2.8670803372379538e-05,
352
+ "loss": 2.2607,
353
+ "step": 490
354
+ },
355
+ {
356
+ "epoch": 0.9174311926605505,
357
+ "grad_norm": 0.07885198295116425,
358
+ "learning_rate": 1.9406390288876586e-05,
359
+ "loss": 2.2651,
360
+ "step": 500
361
+ },
362
+ {
363
+ "epoch": 0.9357798165137615,
364
+ "grad_norm": 0.07889024913311005,
365
+ "learning_rate": 1.191601558631461e-05,
366
+ "loss": 2.2567,
367
+ "step": 510
368
+ },
369
+ {
370
+ "epoch": 0.9541284403669725,
371
+ "grad_norm": 0.07857148349285126,
372
+ "learning_rate": 6.2273288462559305e-06,
373
+ "loss": 2.2549,
374
+ "step": 520
375
+ },
376
+ {
377
+ "epoch": 0.9724770642201835,
378
+ "grad_norm": 0.08122778683900833,
379
+ "learning_rate": 2.361328992552314e-06,
380
+ "loss": 2.2571,
381
+ "step": 530
382
+ },
383
+ {
384
+ "epoch": 0.9908256880733946,
385
+ "grad_norm": 0.08001090586185455,
386
+ "learning_rate": 3.322867770044202e-07,
387
+ "loss": 2.2526,
388
+ "step": 540
389
+ },
390
+ {
391
+ "epoch": 1.0,
392
+ "step": 545,
393
+ "total_flos": 3.405189529856901e+17,
394
+ "train_loss": 2.385732972731284,
395
+ "train_runtime": 1367.7805,
396
+ "train_samples_per_second": 408.054,
397
+ "train_steps_per_second": 0.398
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": 3.405189529856901e+17,
418
+ "train_batch_size": 64,
419
+ "trial_name": null,
420
+ "trial_params": null
421
+ }
continuous/smollm2/mc2_s16_224_mt5/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/mc2_s16_224_mt5/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": 384,
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-S-16",
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/mc2/mc2_s16_224_mt5.pt",
69
+ "vocab_size": 49152
70
+ }
continuous/smollm2/mc2_s16_224_mt5/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/mc2_s16_224_mt5/finetune/merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
continuous/smollm2/mc2_s16_224_mt5/finetune/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f9afdc21d9030af3c70477fb2c7beafb59a2dd04d6e4c30c82718366b9a6e3f8
3
+ size 3687693280
continuous/smollm2/mc2_s16_224_mt5/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/mc2_s16_224_mt5/finetune/tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
continuous/smollm2/mc2_s16_224_mt5/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/mc2_s16_224_mt5/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": 2.732863187789917,
15
+ "learning_rate": 1.153846153846154e-06,
16
+ "loss": 1.2443,
17
+ "step": 10
18
+ },
19
+ {
20
+ "epoch": 0.007701193685021178,
21
+ "grad_norm": 2.18585467338562,
22
+ "learning_rate": 2.435897435897436e-06,
23
+ "loss": 1.1387,
24
+ "step": 20
25
+ },
26
+ {
27
+ "epoch": 0.011551790527531768,
28
+ "grad_norm": 2.129394292831421,
29
+ "learning_rate": 3.7179487179487184e-06,
30
+ "loss": 1.0254,
31
+ "step": 30
32
+ },
33
+ {
34
+ "epoch": 0.015402387370042356,
35
+ "grad_norm": 1.409480333328247,
36
+ "learning_rate": 5e-06,
37
+ "loss": 0.9812,
38
+ "step": 40
39
+ },
40
+ {
41
+ "epoch": 0.019252984212552945,
42
+ "grad_norm": 1.3310723304748535,
43
+ "learning_rate": 6.282051282051282e-06,
44
+ "loss": 0.9669,
45
+ "step": 50
46
+ },
47
+ {
48
+ "epoch": 0.023103581055063535,
49
+ "grad_norm": 0.31674519181251526,
50
+ "learning_rate": 7.564102564102564e-06,
51
+ "loss": 0.894,
52
+ "step": 60
53
+ },
54
+ {
55
+ "epoch": 0.026954177897574125,
56
+ "grad_norm": 0.250242680311203,
57
+ "learning_rate": 8.846153846153847e-06,
58
+ "loss": 0.848,
59
+ "step": 70
60
+ },
61
+ {
62
+ "epoch": 0.030804774740084712,
63
+ "grad_norm": 0.25467607378959656,
64
+ "learning_rate": 9.999996111488723e-06,
65
+ "loss": 0.8606,
66
+ "step": 80
67
+ },
68
+ {
69
+ "epoch": 0.0346553715825953,
70
+ "grad_norm": 0.24596171081066132,
71
+ "learning_rate": 9.999529497453782e-06,
72
+ "loss": 0.8452,
73
+ "step": 90
74
+ },
75
+ {
76
+ "epoch": 0.03850596842510589,
77
+ "grad_norm": 0.211098313331604,
78
+ "learning_rate": 9.998285264324193e-06,
79
+ "loss": 0.8147,
80
+ "step": 100
81
+ },
82
+ {
83
+ "epoch": 0.04235656526761648,
84
+ "grad_norm": 0.22122327983379364,
85
+ "learning_rate": 9.996263605626052e-06,
86
+ "loss": 0.8062,
87
+ "step": 110
88
+ },
89
+ {
90
+ "epoch": 0.04620716211012707,
91
+ "grad_norm": 0.21499501168727875,
92
+ "learning_rate": 9.99346483580503e-06,
93
+ "loss": 0.8244,
94
+ "step": 120
95
+ },
96
+ {
97
+ "epoch": 0.05005775895263766,
98
+ "grad_norm": 0.2106991410255432,
99
+ "learning_rate": 9.989889390177467e-06,
100
+ "loss": 0.8,
101
+ "step": 130
102
+ },
103
+ {
104
+ "epoch": 0.05390835579514825,
105
+ "grad_norm": 0.22066760063171387,
106
+ "learning_rate": 9.985537824862647e-06,
107
+ "loss": 0.8136,
108
+ "step": 140
109
+ },
110
+ {
111
+ "epoch": 0.05775895263765884,
112
+ "grad_norm": 0.21788877248764038,
113
+ "learning_rate": 9.980410816696317e-06,
114
+ "loss": 0.7903,
115
+ "step": 150
116
+ },
117
+ {
118
+ "epoch": 0.061609549480169425,
119
+ "grad_norm": 0.2039882242679596,
120
+ "learning_rate": 9.97450916312541e-06,
121
+ "loss": 0.7955,
122
+ "step": 160
123
+ },
124
+ {
125
+ "epoch": 0.06546014632268002,
126
+ "grad_norm": 0.18081314861774445,
127
+ "learning_rate": 9.967833782084004e-06,
128
+ "loss": 0.7961,
129
+ "step": 170
130
+ },
131
+ {
132
+ "epoch": 0.0693107431651906,
133
+ "grad_norm": 0.20104117691516876,
134
+ "learning_rate": 9.960385711850554e-06,
135
+ "loss": 0.8266,
136
+ "step": 180
137
+ },
138
+ {
139
+ "epoch": 0.07316134000770119,
140
+ "grad_norm": 0.21064278483390808,
141
+ "learning_rate": 9.952166110886394e-06,
142
+ "loss": 0.8138,
143
+ "step": 190
144
+ },
145
+ {
146
+ "epoch": 0.07701193685021178,
147
+ "grad_norm": 0.20740441977977753,
148
+ "learning_rate": 9.943176257655567e-06,
149
+ "loss": 0.8111,
150
+ "step": 200
151
+ },
152
+ {
153
+ "epoch": 0.08086253369272237,
154
+ "grad_norm": 0.19845609366893768,
155
+ "learning_rate": 9.933417550425952e-06,
156
+ "loss": 0.7987,
157
+ "step": 210
158
+ },
159
+ {
160
+ "epoch": 0.08471313053523297,
161
+ "grad_norm": 0.19700652360916138,
162
+ "learning_rate": 9.9228915070518e-06,
163
+ "loss": 0.7887,
164
+ "step": 220
165
+ },
166
+ {
167
+ "epoch": 0.08856372737774355,
168
+ "grad_norm": 0.1901414692401886,
169
+ "learning_rate": 9.911599764737632e-06,
170
+ "loss": 0.7837,
171
+ "step": 230
172
+ },
173
+ {
174
+ "epoch": 0.09241432422025414,
175
+ "grad_norm": 0.18478883802890778,
176
+ "learning_rate": 9.899544079783606e-06,
177
+ "loss": 0.7774,
178
+ "step": 240
179
+ },
180
+ {
181
+ "epoch": 0.09626492106276473,
182
+ "grad_norm": 0.19433818757534027,
183
+ "learning_rate": 9.886726327312338e-06,
184
+ "loss": 0.7956,
185
+ "step": 250
186
+ },
187
+ {
188
+ "epoch": 0.10011551790527531,
189
+ "grad_norm": 0.17080511152744293,
190
+ "learning_rate": 9.87314850097724e-06,
191
+ "loss": 0.7926,
192
+ "step": 260
193
+ },
194
+ {
195
+ "epoch": 0.1039661147477859,
196
+ "grad_norm": 0.18115687370300293,
197
+ "learning_rate": 9.858812712652452e-06,
198
+ "loss": 0.7748,
199
+ "step": 270
200
+ },
201
+ {
202
+ "epoch": 0.1078167115902965,
203
+ "grad_norm": 0.16904592514038086,
204
+ "learning_rate": 9.843721192104341e-06,
205
+ "loss": 0.7729,
206
+ "step": 280
207
+ },
208
+ {
209
+ "epoch": 0.11166730843280709,
210
+ "grad_norm": 0.1904953420162201,
211
+ "learning_rate": 9.827876286644698e-06,
212
+ "loss": 0.8038,
213
+ "step": 290
214
+ },
215
+ {
216
+ "epoch": 0.11551790527531768,
217
+ "grad_norm": 0.16907741129398346,
218
+ "learning_rate": 9.811280460765643e-06,
219
+ "loss": 0.7621,
220
+ "step": 300
221
+ },
222
+ {
223
+ "epoch": 0.11936850211782826,
224
+ "grad_norm": 0.17261673510074615,
225
+ "learning_rate": 9.793936295756292e-06,
226
+ "loss": 0.7672,
227
+ "step": 310
228
+ },
229
+ {
230
+ "epoch": 0.12321909896033885,
231
+ "grad_norm": 0.19663938879966736,
232
+ "learning_rate": 9.775846489301279e-06,
233
+ "loss": 0.7767,
234
+ "step": 320
235
+ },
236
+ {
237
+ "epoch": 0.12706969580284944,
238
+ "grad_norm": 0.19177833199501038,
239
+ "learning_rate": 9.757013855061157e-06,
240
+ "loss": 0.7781,
241
+ "step": 330
242
+ },
243
+ {
244
+ "epoch": 0.13092029264536004,
245
+ "grad_norm": 0.19121433794498444,
246
+ "learning_rate": 9.737441322234758e-06,
247
+ "loss": 0.7799,
248
+ "step": 340
249
+ },
250
+ {
251
+ "epoch": 0.1347708894878706,
252
+ "grad_norm": 0.20076416432857513,
253
+ "learning_rate": 9.717131935103605e-06,
254
+ "loss": 0.787,
255
+ "step": 350
256
+ },
257
+ {
258
+ "epoch": 0.1386214863303812,
259
+ "grad_norm": 0.1816406399011612,
260
+ "learning_rate": 9.696088852558398e-06,
261
+ "loss": 0.7678,
262
+ "step": 360
263
+ },
264
+ {
265
+ "epoch": 0.1424720831728918,
266
+ "grad_norm": 0.18339715898036957,
267
+ "learning_rate": 9.674315347607686e-06,
268
+ "loss": 0.7951,
269
+ "step": 370
270
+ },
271
+ {
272
+ "epoch": 0.14632268001540238,
273
+ "grad_norm": 0.17367927730083466,
274
+ "learning_rate": 9.651814806868796e-06,
275
+ "loss": 0.7602,
276
+ "step": 380
277
+ },
278
+ {
279
+ "epoch": 0.15017327685791299,
280
+ "grad_norm": 0.1778857409954071,
281
+ "learning_rate": 9.62859073004107e-06,
282
+ "loss": 0.7632,
283
+ "step": 390
284
+ },
285
+ {
286
+ "epoch": 0.15402387370042356,
287
+ "grad_norm": 0.16699014604091644,
288
+ "learning_rate": 9.604646729361547e-06,
289
+ "loss": 0.7703,
290
+ "step": 400
291
+ },
292
+ {
293
+ "epoch": 0.15787447054293416,
294
+ "grad_norm": 0.19238129258155823,
295
+ "learning_rate": 9.579986529043099e-06,
296
+ "loss": 0.7663,
297
+ "step": 410
298
+ },
299
+ {
300
+ "epoch": 0.16172506738544473,
301
+ "grad_norm": 0.1800781637430191,
302
+ "learning_rate": 9.554613964695189e-06,
303
+ "loss": 0.7818,
304
+ "step": 420
305
+ },
306
+ {
307
+ "epoch": 0.16557566422795533,
308
+ "grad_norm": 0.18056423962116241,
309
+ "learning_rate": 9.528532982727281e-06,
310
+ "loss": 0.7635,
311
+ "step": 430
312
+ },
313
+ {
314
+ "epoch": 0.16942626107046593,
315
+ "grad_norm": 0.1763221174478531,
316
+ "learning_rate": 9.501747639735018e-06,
317
+ "loss": 0.7704,
318
+ "step": 440
319
+ },
320
+ {
321
+ "epoch": 0.1732768579129765,
322
+ "grad_norm": 0.177101269364357,
323
+ "learning_rate": 9.474262101869272e-06,
324
+ "loss": 0.7554,
325
+ "step": 450
326
+ },
327
+ {
328
+ "epoch": 0.1771274547554871,
329
+ "grad_norm": 0.18695154786109924,
330
+ "learning_rate": 9.446080644188141e-06,
331
+ "loss": 0.7642,
332
+ "step": 460
333
+ },
334
+ {
335
+ "epoch": 0.18097805159799768,
336
+ "grad_norm": 0.17070254683494568,
337
+ "learning_rate": 9.417207649992017e-06,
338
+ "loss": 0.7663,
339
+ "step": 470
340
+ },
341
+ {
342
+ "epoch": 0.18482864844050828,
343
+ "grad_norm": 0.18068590760231018,
344
+ "learning_rate": 9.387647610141816e-06,
345
+ "loss": 0.7655,
346
+ "step": 480
347
+ },
348
+ {
349
+ "epoch": 0.18867924528301888,
350
+ "grad_norm": 0.17548005282878876,
351
+ "learning_rate": 9.35740512236047e-06,
352
+ "loss": 0.7592,
353
+ "step": 490
354
+ },
355
+ {
356
+ "epoch": 0.19252984212552945,
357
+ "grad_norm": 0.1683991402387619,
358
+ "learning_rate": 9.326484890517809e-06,
359
+ "loss": 0.7629,
360
+ "step": 500
361
+ },
362
+ {
363
+ "epoch": 0.19638043896804006,
364
+ "grad_norm": 0.18234139680862427,
365
+ "learning_rate": 9.294891723898926e-06,
366
+ "loss": 0.7524,
367
+ "step": 510
368
+ },
369
+ {
370
+ "epoch": 0.20023103581055063,
371
+ "grad_norm": 0.1797502040863037,
372
+ "learning_rate": 9.262630536456153e-06,
373
+ "loss": 0.7768,
374
+ "step": 520
375
+ },
376
+ {
377
+ "epoch": 0.20408163265306123,
378
+ "grad_norm": 0.17727257311344147,
379
+ "learning_rate": 9.229706346044749e-06,
380
+ "loss": 0.7591,
381
+ "step": 530
382
+ },
383
+ {
384
+ "epoch": 0.2079322294955718,
385
+ "grad_norm": 0.1810975968837738,
386
+ "learning_rate": 9.196124273642422e-06,
387
+ "loss": 0.7696,
388
+ "step": 540
389
+ },
390
+ {
391
+ "epoch": 0.2117828263380824,
392
+ "grad_norm": 0.17819049954414368,
393
+ "learning_rate": 9.161889542552842e-06,
394
+ "loss": 0.7755,
395
+ "step": 550
396
+ },
397
+ {
398
+ "epoch": 0.215633423180593,
399
+ "grad_norm": 0.173517107963562,
400
+ "learning_rate": 9.127007477593193e-06,
401
+ "loss": 0.7771,
402
+ "step": 560
403
+ },
404
+ {
405
+ "epoch": 0.21948402002310358,
406
+ "grad_norm": 0.18159988522529602,
407
+ "learning_rate": 9.091483504265974e-06,
408
+ "loss": 0.793,
409
+ "step": 570
410
+ },
411
+ {
412
+ "epoch": 0.22333461686561418,
413
+ "grad_norm": 0.19159753620624542,
414
+ "learning_rate": 9.055323147915116e-06,
415
+ "loss": 0.7593,
416
+ "step": 580
417
+ },
418
+ {
419
+ "epoch": 0.22718521370812475,
420
+ "grad_norm": 0.17225897312164307,
421
+ "learning_rate": 9.018532032866585e-06,
422
+ "loss": 0.7758,
423
+ "step": 590
424
+ },
425
+ {
426
+ "epoch": 0.23103581055063535,
427
+ "grad_norm": 0.16354767978191376,
428
+ "learning_rate": 8.981115881553579e-06,
429
+ "loss": 0.7731,
430
+ "step": 600
431
+ },
432
+ {
433
+ "epoch": 0.23488640739314592,
434
+ "grad_norm": 0.1862216293811798,
435
+ "learning_rate": 8.943080513626476e-06,
436
+ "loss": 0.791,
437
+ "step": 610
438
+ },
439
+ {
440
+ "epoch": 0.23873700423565652,
441
+ "grad_norm": 0.1683986783027649,
442
+ "learning_rate": 8.904431845047641e-06,
443
+ "loss": 0.7686,
444
+ "step": 620
445
+ },
446
+ {
447
+ "epoch": 0.24258760107816713,
448
+ "grad_norm": 0.17709015309810638,
449
+ "learning_rate": 8.86517588717128e-06,
450
+ "loss": 0.7808,
451
+ "step": 630
452
+ },
453
+ {
454
+ "epoch": 0.2464381979206777,
455
+ "grad_norm": 0.1819474846124649,
456
+ "learning_rate": 8.82531874580844e-06,
457
+ "loss": 0.7784,
458
+ "step": 640
459
+ },
460
+ {
461
+ "epoch": 0.25028879476318827,
462
+ "grad_norm": 0.16350103914737701,
463
+ "learning_rate": 8.784866620277314e-06,
464
+ "loss": 0.74,
465
+ "step": 650
466
+ },
467
+ {
468
+ "epoch": 0.25413939160569887,
469
+ "grad_norm": 0.18290556967258453,
470
+ "learning_rate": 8.743825802439018e-06,
471
+ "loss": 0.7659,
472
+ "step": 660
473
+ },
474
+ {
475
+ "epoch": 0.2579899884482095,
476
+ "grad_norm": 0.18089242279529572,
477
+ "learning_rate": 8.702202675718956e-06,
478
+ "loss": 0.7745,
479
+ "step": 670
480
+ },
481
+ {
482
+ "epoch": 0.2618405852907201,
483
+ "grad_norm": 0.16476638615131378,
484
+ "learning_rate": 8.660003714113959e-06,
485
+ "loss": 0.7562,
486
+ "step": 680
487
+ },
488
+ {
489
+ "epoch": 0.2656911821332307,
490
+ "grad_norm": 0.17158544063568115,
491
+ "learning_rate": 8.617235481185323e-06,
492
+ "loss": 0.7657,
493
+ "step": 690
494
+ },
495
+ {
496
+ "epoch": 0.2695417789757412,
497
+ "grad_norm": 0.1791495829820633,
498
+ "learning_rate": 8.573904629037931e-06,
499
+ "loss": 0.7783,
500
+ "step": 700
501
+ },
502
+ {
503
+ "epoch": 0.2733923758182518,
504
+ "grad_norm": 0.15949904918670654,
505
+ "learning_rate": 8.530017897285585e-06,
506
+ "loss": 0.7595,
507
+ "step": 710
508
+ },
509
+ {
510
+ "epoch": 0.2772429726607624,
511
+ "grad_norm": 0.17150580883026123,
512
+ "learning_rate": 8.485582112002746e-06,
513
+ "loss": 0.7605,
514
+ "step": 720
515
+ },
516
+ {
517
+ "epoch": 0.281093569503273,
518
+ "grad_norm": 0.1735263168811798,
519
+ "learning_rate": 8.440604184662811e-06,
520
+ "loss": 0.7704,
521
+ "step": 730
522
+ },
523
+ {
524
+ "epoch": 0.2849441663457836,
525
+ "grad_norm": 0.17391854524612427,
526
+ "learning_rate": 8.395091111063118e-06,
527
+ "loss": 0.7554,
528
+ "step": 740
529
+ },
530
+ {
531
+ "epoch": 0.28879476318829417,
532
+ "grad_norm": 0.15506766736507416,
533
+ "learning_rate": 8.349049970236822e-06,
534
+ "loss": 0.7521,
535
+ "step": 750
536
+ },
537
+ {
538
+ "epoch": 0.29264536003080477,
539
+ "grad_norm": 0.16928577423095703,
540
+ "learning_rate": 8.302487923351842e-06,
541
+ "loss": 0.7502,
542
+ "step": 760
543
+ },
544
+ {
545
+ "epoch": 0.29649595687331537,
546
+ "grad_norm": 0.1576623022556305,
547
+ "learning_rate": 8.255412212597021e-06,
548
+ "loss": 0.7684,
549
+ "step": 770
550
+ },
551
+ {
552
+ "epoch": 0.30034655371582597,
553
+ "grad_norm": 0.1811457872390747,
554
+ "learning_rate": 8.207830160055688e-06,
555
+ "loss": 0.7639,
556
+ "step": 780
557
+ },
558
+ {
559
+ "epoch": 0.3041971505583365,
560
+ "grad_norm": 0.17699675261974335,
561
+ "learning_rate": 8.159749166566786e-06,
562
+ "loss": 0.7468,
563
+ "step": 790
564
+ },
565
+ {
566
+ "epoch": 0.3080477474008471,
567
+ "grad_norm": 0.17699342966079712,
568
+ "learning_rate": 8.11117671057377e-06,
569
+ "loss": 0.769,
570
+ "step": 800
571
+ },
572
+ {
573
+ "epoch": 0.3118983442433577,
574
+ "grad_norm": 0.16238775849342346,
575
+ "learning_rate": 8.062120346961404e-06,
576
+ "loss": 0.7676,
577
+ "step": 810
578
+ },
579
+ {
580
+ "epoch": 0.3157489410858683,
581
+ "grad_norm": 0.16892461478710175,
582
+ "learning_rate": 8.012587705880705e-06,
583
+ "loss": 0.7647,
584
+ "step": 820
585
+ },
586
+ {
587
+ "epoch": 0.3195995379283789,
588
+ "grad_norm": 0.17176252603530884,
589
+ "learning_rate": 7.962586491562146e-06,
590
+ "loss": 0.7503,
591
+ "step": 830
592
+ },
593
+ {
594
+ "epoch": 0.32345013477088946,
595
+ "grad_norm": 0.17004582285881042,
596
+ "learning_rate": 7.912124481117357e-06,
597
+ "loss": 0.7506,
598
+ "step": 840
599
+ },
600
+ {
601
+ "epoch": 0.32730073161340006,
602
+ "grad_norm": 0.16334517300128937,
603
+ "learning_rate": 7.861209523329494e-06,
604
+ "loss": 0.7602,
605
+ "step": 850
606
+ },
607
+ {
608
+ "epoch": 0.33115132845591067,
609
+ "grad_norm": 0.17656828463077545,
610
+ "learning_rate": 7.809849537432432e-06,
611
+ "loss": 0.7523,
612
+ "step": 860
613
+ },
614
+ {
615
+ "epoch": 0.33500192529842127,
616
+ "grad_norm": 0.164926216006279,
617
+ "learning_rate": 7.758052511879035e-06,
618
+ "loss": 0.7557,
619
+ "step": 870
620
+ },
621
+ {
622
+ "epoch": 0.33885252214093187,
623
+ "grad_norm": 0.1700388640165329,
624
+ "learning_rate": 7.705826503098642e-06,
625
+ "loss": 0.7596,
626
+ "step": 880
627
+ },
628
+ {
629
+ "epoch": 0.3427031189834424,
630
+ "grad_norm": 0.17248782515525818,
631
+ "learning_rate": 7.653179634243979e-06,
632
+ "loss": 0.7522,
633
+ "step": 890
634
+ },
635
+ {
636
+ "epoch": 0.346553715825953,
637
+ "grad_norm": 0.1627664417028427,
638
+ "learning_rate": 7.600120093927696e-06,
639
+ "loss": 0.755,
640
+ "step": 900
641
+ },
642
+ {
643
+ "epoch": 0.3504043126684636,
644
+ "grad_norm": 0.1870342493057251,
645
+ "learning_rate": 7.546656134948729e-06,
646
+ "loss": 0.7446,
647
+ "step": 910
648
+ },
649
+ {
650
+ "epoch": 0.3542549095109742,
651
+ "grad_norm": 0.16426856815814972,
652
+ "learning_rate": 7.492796073008661e-06,
653
+ "loss": 0.7522,
654
+ "step": 920
655
+ },
656
+ {
657
+ "epoch": 0.3581055063534848,
658
+ "grad_norm": 0.19003963470458984,
659
+ "learning_rate": 7.438548285418326e-06,
660
+ "loss": 0.7339,
661
+ "step": 930
662
+ },
663
+ {
664
+ "epoch": 0.36195610319599536,
665
+ "grad_norm": 0.16997864842414856,
666
+ "learning_rate": 7.3839212097948e-06,
667
+ "loss": 0.7645,
668
+ "step": 940
669
+ },
670
+ {
671
+ "epoch": 0.36580670003850596,
672
+ "grad_norm": 0.17992152273654938,
673
+ "learning_rate": 7.328923342749039e-06,
674
+ "loss": 0.7805,
675
+ "step": 950
676
+ },
677
+ {
678
+ "epoch": 0.36965729688101656,
679
+ "grad_norm": 0.16681179404258728,
680
+ "learning_rate": 7.273563238564319e-06,
681
+ "loss": 0.7768,
682
+ "step": 960
683
+ },
684
+ {
685
+ "epoch": 0.37350789372352716,
686
+ "grad_norm": 0.18314865231513977,
687
+ "learning_rate": 7.217849507865724e-06,
688
+ "loss": 0.7469,
689
+ "step": 970
690
+ },
691
+ {
692
+ "epoch": 0.37735849056603776,
693
+ "grad_norm": 0.17132894694805145,
694
+ "learning_rate": 7.161790816280858e-06,
695
+ "loss": 0.7545,
696
+ "step": 980
697
+ },
698
+ {
699
+ "epoch": 0.3812090874085483,
700
+ "grad_norm": 0.17886114120483398,
701
+ "learning_rate": 7.1053958830920125e-06,
702
+ "loss": 0.742,
703
+ "step": 990
704
+ },
705
+ {
706
+ "epoch": 0.3850596842510589,
707
+ "grad_norm": 0.16778980195522308,
708
+ "learning_rate": 7.0486734798799715e-06,
709
+ "loss": 0.7539,
710
+ "step": 1000
711
+ },
712
+ {
713
+ "epoch": 0.3889102810935695,
714
+ "grad_norm": 0.16342517733573914,
715
+ "learning_rate": 6.991632429159708e-06,
716
+ "loss": 0.7733,
717
+ "step": 1010
718
+ },
719
+ {
720
+ "epoch": 0.3927608779360801,
721
+ "grad_norm": 0.18180525302886963,
722
+ "learning_rate": 6.934281603008132e-06,
723
+ "loss": 0.7723,
724
+ "step": 1020
725
+ },
726
+ {
727
+ "epoch": 0.39661147477859066,
728
+ "grad_norm": 0.15289640426635742,
729
+ "learning_rate": 6.876629921684143e-06,
730
+ "loss": 0.767,
731
+ "step": 1030
732
+ },
733
+ {
734
+ "epoch": 0.40046207162110126,
735
+ "grad_norm": 0.1785048097372055,
736
+ "learning_rate": 6.818686352241199e-06,
737
+ "loss": 0.756,
738
+ "step": 1040
739
+ },
740
+ {
741
+ "epoch": 0.40431266846361186,
742
+ "grad_norm": 0.15881462395191193,
743
+ "learning_rate": 6.760459907132573e-06,
744
+ "loss": 0.751,
745
+ "step": 1050
746
+ },
747
+ {
748
+ "epoch": 0.40816326530612246,
749
+ "grad_norm": 0.15239843726158142,
750
+ "learning_rate": 6.701959642809589e-06,
751
+ "loss": 0.7575,
752
+ "step": 1060
753
+ },
754
+ {
755
+ "epoch": 0.41201386214863306,
756
+ "grad_norm": 0.172011598944664,
757
+ "learning_rate": 6.643194658312987e-06,
758
+ "loss": 0.7493,
759
+ "step": 1070
760
+ },
761
+ {
762
+ "epoch": 0.4158644589911436,
763
+ "grad_norm": 0.15358500182628632,
764
+ "learning_rate": 6.584174093857676e-06,
765
+ "loss": 0.7737,
766
+ "step": 1080
767
+ },
768
+ {
769
+ "epoch": 0.4197150558336542,
770
+ "grad_norm": 0.17648057639598846,
771
+ "learning_rate": 6.5249071294110735e-06,
772
+ "loss": 0.757,
773
+ "step": 1090
774
+ },
775
+ {
776
+ "epoch": 0.4235656526761648,
777
+ "grad_norm": 0.17113760113716125,
778
+ "learning_rate": 6.465402983265274e-06,
779
+ "loss": 0.7686,
780
+ "step": 1100
781
+ },
782
+ {
783
+ "epoch": 0.4274162495186754,
784
+ "grad_norm": 0.17180213332176208,
785
+ "learning_rate": 6.405670910603243e-06,
786
+ "loss": 0.7628,
787
+ "step": 1110
788
+ },
789
+ {
790
+ "epoch": 0.431266846361186,
791
+ "grad_norm": 0.17528414726257324,
792
+ "learning_rate": 6.345720202059291e-06,
793
+ "loss": 0.7594,
794
+ "step": 1120
795
+ },
796
+ {
797
+ "epoch": 0.43511744320369655,
798
+ "grad_norm": 0.17425225675106049,
799
+ "learning_rate": 6.285560182274008e-06,
800
+ "loss": 0.7394,
801
+ "step": 1130
802
+ },
803
+ {
804
+ "epoch": 0.43896804004620715,
805
+ "grad_norm": 0.18231935799121857,
806
+ "learning_rate": 6.225200208443936e-06,
807
+ "loss": 0.7637,
808
+ "step": 1140
809
+ },
810
+ {
811
+ "epoch": 0.44281863688871775,
812
+ "grad_norm": 0.17000140249729156,
813
+ "learning_rate": 6.16464966886616e-06,
814
+ "loss": 0.7485,
815
+ "step": 1150
816
+ },
817
+ {
818
+ "epoch": 0.44666923373122835,
819
+ "grad_norm": 0.1922702193260193,
820
+ "learning_rate": 6.103917981478065e-06,
821
+ "loss": 0.778,
822
+ "step": 1160
823
+ },
824
+ {
825
+ "epoch": 0.45051983057373896,
826
+ "grad_norm": 0.15899726748466492,
827
+ "learning_rate": 6.043014592392489e-06,
828
+ "loss": 0.7843,
829
+ "step": 1170
830
+ },
831
+ {
832
+ "epoch": 0.4543704274162495,
833
+ "grad_norm": 0.16982319951057434,
834
+ "learning_rate": 5.981948974428485e-06,
835
+ "loss": 0.7649,
836
+ "step": 1180
837
+ },
838
+ {
839
+ "epoch": 0.4582210242587601,
840
+ "grad_norm": 0.16139854490756989,
841
+ "learning_rate": 5.920730625637934e-06,
842
+ "loss": 0.7413,
843
+ "step": 1190
844
+ },
845
+ {
846
+ "epoch": 0.4620716211012707,
847
+ "grad_norm": 0.17924393713474274,
848
+ "learning_rate": 5.8593690678282355e-06,
849
+ "loss": 0.7501,
850
+ "step": 1200
851
+ },
852
+ {
853
+ "epoch": 0.4659222179437813,
854
+ "grad_norm": 0.1710091382265091,
855
+ "learning_rate": 5.797873845081301e-06,
856
+ "loss": 0.7476,
857
+ "step": 1210
858
+ },
859
+ {
860
+ "epoch": 0.46977281478629185,
861
+ "grad_norm": 0.17103137075901031,
862
+ "learning_rate": 5.736254522269075e-06,
863
+ "loss": 0.7738,
864
+ "step": 1220
865
+ },
866
+ {
867
+ "epoch": 0.47362341162880245,
868
+ "grad_norm": 0.16473400592803955,
869
+ "learning_rate": 5.6745206835658386e-06,
870
+ "loss": 0.7691,
871
+ "step": 1230
872
+ },
873
+ {
874
+ "epoch": 0.47747400847131305,
875
+ "grad_norm": 0.16333292424678802,
876
+ "learning_rate": 5.612681930957495e-06,
877
+ "loss": 0.748,
878
+ "step": 1240
879
+ },
880
+ {
881
+ "epoch": 0.48132460531382365,
882
+ "grad_norm": 0.1733519434928894,
883
+ "learning_rate": 5.550747882748095e-06,
884
+ "loss": 0.7405,
885
+ "step": 1250
886
+ },
887
+ {
888
+ "epoch": 0.48517520215633425,
889
+ "grad_norm": 0.17994815111160278,
890
+ "learning_rate": 5.4887281720638195e-06,
891
+ "loss": 0.7538,
892
+ "step": 1260
893
+ },
894
+ {
895
+ "epoch": 0.4890257989988448,
896
+ "grad_norm": 0.1802128553390503,
897
+ "learning_rate": 5.42663244535466e-06,
898
+ "loss": 0.7314,
899
+ "step": 1270
900
+ },
901
+ {
902
+ "epoch": 0.4928763958413554,
903
+ "grad_norm": 0.17771238088607788,
904
+ "learning_rate": 5.3644703608940205e-06,
905
+ "loss": 0.7475,
906
+ "step": 1280
907
+ },
908
+ {
909
+ "epoch": 0.496726992683866,
910
+ "grad_norm": 0.15697918832302094,
911
+ "learning_rate": 5.302251587276491e-06,
912
+ "loss": 0.7605,
913
+ "step": 1290
914
+ },
915
+ {
916
+ "epoch": 0.5005775895263765,
917
+ "grad_norm": 0.17042431235313416,
918
+ "learning_rate": 5.2399858019140005e-06,
919
+ "loss": 0.7505,
920
+ "step": 1300
921
+ },
922
+ {
923
+ "epoch": 0.5044281863688872,
924
+ "grad_norm": 0.16611766815185547,
925
+ "learning_rate": 5.177682689530615e-06,
926
+ "loss": 0.7691,
927
+ "step": 1310
928
+ },
929
+ {
930
+ "epoch": 0.5082787832113977,
931
+ "grad_norm": 0.17995406687259674,
932
+ "learning_rate": 5.11535194065619e-06,
933
+ "loss": 0.7402,
934
+ "step": 1320
935
+ },
936
+ {
937
+ "epoch": 0.5121293800539084,
938
+ "grad_norm": 0.1792985498905182,
939
+ "learning_rate": 5.053003250119113e-06,
940
+ "loss": 0.7488,
941
+ "step": 1330
942
+ },
943
+ {
944
+ "epoch": 0.515979976896419,
945
+ "grad_norm": 0.16486388444900513,
946
+ "learning_rate": 4.9906463155383925e-06,
947
+ "loss": 0.7545,
948
+ "step": 1340
949
+ },
950
+ {
951
+ "epoch": 0.5198305737389295,
952
+ "grad_norm": 0.1693301796913147,
953
+ "learning_rate": 4.9282908358153046e-06,
954
+ "loss": 0.7518,
955
+ "step": 1350
956
+ },
957
+ {
958
+ "epoch": 0.5236811705814401,
959
+ "grad_norm": 0.18523894250392914,
960
+ "learning_rate": 4.8659465096248345e-06,
961
+ "loss": 0.7674,
962
+ "step": 1360
963
+ },
964
+ {
965
+ "epoch": 0.5275317674239507,
966
+ "grad_norm": 0.1742369830608368,
967
+ "learning_rate": 4.803623033907169e-06,
968
+ "loss": 0.7596,
969
+ "step": 1370
970
+ },
971
+ {
972
+ "epoch": 0.5313823642664613,
973
+ "grad_norm": 0.1601194143295288,
974
+ "learning_rate": 4.741330102359441e-06,
975
+ "loss": 0.7734,
976
+ "step": 1380
977
+ },
978
+ {
979
+ "epoch": 0.5352329611089719,
980
+ "grad_norm": 0.1724666953086853,
981
+ "learning_rate": 4.679077403927996e-06,
982
+ "loss": 0.7488,
983
+ "step": 1390
984
+ },
985
+ {
986
+ "epoch": 0.5390835579514824,
987
+ "grad_norm": 0.1701231300830841,
988
+ "learning_rate": 4.616874621301373e-06,
989
+ "loss": 0.7501,
990
+ "step": 1400
991
+ },
992
+ {
993
+ "epoch": 0.5429341547939931,
994
+ "grad_norm": 0.17702195048332214,
995
+ "learning_rate": 4.554731429404293e-06,
996
+ "loss": 0.7675,
997
+ "step": 1410
998
+ },
999
+ {
1000
+ "epoch": 0.5467847516365036,
1001
+ "grad_norm": 0.1767258644104004,
1002
+ "learning_rate": 4.492657493892822e-06,
1003
+ "loss": 0.7511,
1004
+ "step": 1420
1005
+ },
1006
+ {
1007
+ "epoch": 0.5506353484790143,
1008
+ "grad_norm": 0.17665459215641022,
1009
+ "learning_rate": 4.430662469650999e-06,
1010
+ "loss": 0.7645,
1011
+ "step": 1430
1012
+ },
1013
+ {
1014
+ "epoch": 0.5544859453215248,
1015
+ "grad_norm": 0.18053121864795685,
1016
+ "learning_rate": 4.368755999289118e-06,
1017
+ "loss": 0.7645,
1018
+ "step": 1440
1019
+ },
1020
+ {
1021
+ "epoch": 0.5583365421640354,
1022
+ "grad_norm": 0.17404812574386597,
1023
+ "learning_rate": 4.306947711643949e-06,
1024
+ "loss": 0.7488,
1025
+ "step": 1450
1026
+ },
1027
+ {
1028
+ "epoch": 0.562187139006546,
1029
+ "grad_norm": 0.16825558245182037,
1030
+ "learning_rate": 4.245247220281068e-06,
1031
+ "loss": 0.7538,
1032
+ "step": 1460
1033
+ },
1034
+ {
1035
+ "epoch": 0.5660377358490566,
1036
+ "grad_norm": 0.16604121029376984,
1037
+ "learning_rate": 4.183664121999587e-06,
1038
+ "loss": 0.7513,
1039
+ "step": 1470
1040
+ },
1041
+ {
1042
+ "epoch": 0.5698883326915672,
1043
+ "grad_norm": 0.16900773346424103,
1044
+ "learning_rate": 4.122207995339474e-06,
1045
+ "loss": 0.7431,
1046
+ "step": 1480
1047
+ },
1048
+ {
1049
+ "epoch": 0.5737389295340778,
1050
+ "grad_norm": 0.16435302793979645,
1051
+ "learning_rate": 4.060888399091734e-06,
1052
+ "loss": 0.7525,
1053
+ "step": 1490
1054
+ },
1055
+ {
1056
+ "epoch": 0.5775895263765883,
1057
+ "grad_norm": 0.1679355502128601,
1058
+ "learning_rate": 3.999714870811639e-06,
1059
+ "loss": 0.7634,
1060
+ "step": 1500
1061
+ },
1062
+ {
1063
+ "epoch": 0.581440123219099,
1064
+ "grad_norm": 0.16757789254188538,
1065
+ "learning_rate": 3.938696925335275e-06,
1066
+ "loss": 0.7565,
1067
+ "step": 1510
1068
+ },
1069
+ {
1070
+ "epoch": 0.5852907200616095,
1071
+ "grad_norm": 0.17699502408504486,
1072
+ "learning_rate": 3.87784405329962e-06,
1073
+ "loss": 0.7649,
1074
+ "step": 1520
1075
+ },
1076
+ {
1077
+ "epoch": 0.5891413169041202,
1078
+ "grad_norm": 0.16305981576442719,
1079
+ "learning_rate": 3.817165719666382e-06,
1080
+ "loss": 0.7653,
1081
+ "step": 1530
1082
+ },
1083
+ {
1084
+ "epoch": 0.5929919137466307,
1085
+ "grad_norm": 0.17371152341365814,
1086
+ "learning_rate": 3.756671362249841e-06,
1087
+ "loss": 0.7673,
1088
+ "step": 1540
1089
+ },
1090
+ {
1091
+ "epoch": 0.5968425105891413,
1092
+ "grad_norm": 0.16282731294631958,
1093
+ "learning_rate": 3.6963703902488907e-06,
1094
+ "loss": 0.754,
1095
+ "step": 1550
1096
+ },
1097
+ {
1098
+ "epoch": 0.6006931074316519,
1099
+ "grad_norm": 0.159433513879776,
1100
+ "learning_rate": 3.6362721827835655e-06,
1101
+ "loss": 0.7669,
1102
+ "step": 1560
1103
+ },
1104
+ {
1105
+ "epoch": 0.6045437042741625,
1106
+ "grad_norm": 0.17963939905166626,
1107
+ "learning_rate": 3.576386087436212e-06,
1108
+ "loss": 0.7704,
1109
+ "step": 1570
1110
+ },
1111
+ {
1112
+ "epoch": 0.608394301116673,
1113
+ "grad_norm": 0.1846436709165573,
1114
+ "learning_rate": 3.5167214187975913e-06,
1115
+ "loss": 0.7637,
1116
+ "step": 1580
1117
+ },
1118
+ {
1119
+ "epoch": 0.6122448979591837,
1120
+ "grad_norm": 0.15222829580307007,
1121
+ "learning_rate": 3.457287457018086e-06,
1122
+ "loss": 0.7592,
1123
+ "step": 1590
1124
+ },
1125
+ {
1126
+ "epoch": 0.6160954948016942,
1127
+ "grad_norm": 0.16422952711582184,
1128
+ "learning_rate": 3.3980934463643003e-06,
1129
+ "loss": 0.7548,
1130
+ "step": 1600
1131
+ },
1132
+ {
1133
+ "epoch": 0.6199460916442049,
1134
+ "grad_norm": 0.15681308507919312,
1135
+ "learning_rate": 3.3391485937812053e-06,
1136
+ "loss": 0.7333,
1137
+ "step": 1610
1138
+ },
1139
+ {
1140
+ "epoch": 0.6237966884867154,
1141
+ "grad_norm": 0.1691669225692749,
1142
+ "learning_rate": 3.280462067460115e-06,
1143
+ "loss": 0.7337,
1144
+ "step": 1620
1145
+ },
1146
+ {
1147
+ "epoch": 0.627647285329226,
1148
+ "grad_norm": 0.16940999031066895,
1149
+ "learning_rate": 3.222042995412669e-06,
1150
+ "loss": 0.7596,
1151
+ "step": 1630
1152
+ },
1153
+ {
1154
+ "epoch": 0.6314978821717366,
1155
+ "grad_norm": 0.15819984674453735,
1156
+ "learning_rate": 3.163900464051089e-06,
1157
+ "loss": 0.7508,
1158
+ "step": 1640
1159
+ },
1160
+ {
1161
+ "epoch": 0.6353484790142472,
1162
+ "grad_norm": 0.17089788615703583,
1163
+ "learning_rate": 3.1060435167748826e-06,
1164
+ "loss": 0.7659,
1165
+ "step": 1650
1166
+ },
1167
+ {
1168
+ "epoch": 0.6391990758567578,
1169
+ "grad_norm": 0.16627146303653717,
1170
+ "learning_rate": 3.048481152564253e-06,
1171
+ "loss": 0.7418,
1172
+ "step": 1660
1173
+ },
1174
+ {
1175
+ "epoch": 0.6430496726992684,
1176
+ "grad_norm": 0.17718742787837982,
1177
+ "learning_rate": 2.9912223245804017e-06,
1178
+ "loss": 0.7597,
1179
+ "step": 1670
1180
+ },
1181
+ {
1182
+ "epoch": 0.6469002695417789,
1183
+ "grad_norm": 0.1705765575170517,
1184
+ "learning_rate": 2.934275938772981e-06,
1185
+ "loss": 0.7533,
1186
+ "step": 1680
1187
+ },
1188
+ {
1189
+ "epoch": 0.6507508663842896,
1190
+ "grad_norm": 0.16879284381866455,
1191
+ "learning_rate": 2.8776508524948676e-06,
1192
+ "loss": 0.7475,
1193
+ "step": 1690
1194
+ },
1195
+ {
1196
+ "epoch": 0.6546014632268001,
1197
+ "grad_norm": 0.16477319598197937,
1198
+ "learning_rate": 2.821355873124503e-06,
1199
+ "loss": 0.75,
1200
+ "step": 1700
1201
+ },
1202
+ {
1203
+ "epoch": 0.6584520600693108,
1204
+ "grad_norm": 0.1770005077123642,
1205
+ "learning_rate": 2.7653997566960144e-06,
1206
+ "loss": 0.7552,
1207
+ "step": 1710
1208
+ },
1209
+ {
1210
+ "epoch": 0.6623026569118213,
1211
+ "grad_norm": 0.1796955168247223,
1212
+ "learning_rate": 2.709791206537309e-06,
1213
+ "loss": 0.7475,
1214
+ "step": 1720
1215
+ },
1216
+ {
1217
+ "epoch": 0.6661532537543319,
1218
+ "grad_norm": 0.17984743416309357,
1219
+ "learning_rate": 2.6545388719163747e-06,
1220
+ "loss": 0.7549,
1221
+ "step": 1730
1222
+ },
1223
+ {
1224
+ "epoch": 0.6700038505968425,
1225
+ "grad_norm": 0.17378520965576172,
1226
+ "learning_rate": 2.599651346695979e-06,
1227
+ "loss": 0.7628,
1228
+ "step": 1740
1229
+ },
1230
+ {
1231
+ "epoch": 0.6738544474393531,
1232
+ "grad_norm": 0.16071583330631256,
1233
+ "learning_rate": 2.545137167997007e-06,
1234
+ "loss": 0.7552,
1235
+ "step": 1750
1236
+ },
1237
+ {
1238
+ "epoch": 0.6777050442818637,
1239
+ "grad_norm": 0.1679219901561737,
1240
+ "learning_rate": 2.4910048148705972e-06,
1241
+ "loss": 0.7492,
1242
+ "step": 1760
1243
+ },
1244
+ {
1245
+ "epoch": 0.6815556411243743,
1246
+ "grad_norm": 0.175960972905159,
1247
+ "learning_rate": 2.4372627069793327e-06,
1248
+ "loss": 0.7839,
1249
+ "step": 1770
1250
+ },
1251
+ {
1252
+ "epoch": 0.6854062379668848,
1253
+ "grad_norm": 0.16672104597091675,
1254
+ "learning_rate": 2.3839192032876486e-06,
1255
+ "loss": 0.7602,
1256
+ "step": 1780
1257
+ },
1258
+ {
1259
+ "epoch": 0.6892568348093955,
1260
+ "grad_norm": 0.17782466113567352,
1261
+ "learning_rate": 2.3309826007617047e-06,
1262
+ "loss": 0.7773,
1263
+ "step": 1790
1264
+ },
1265
+ {
1266
+ "epoch": 0.693107431651906,
1267
+ "grad_norm": 0.1657658964395523,
1268
+ "learning_rate": 2.278461133078881e-06,
1269
+ "loss": 0.7455,
1270
+ "step": 1800
1271
+ },
1272
+ {
1273
+ "epoch": 0.6969580284944167,
1274
+ "grad_norm": 0.16672468185424805,
1275
+ "learning_rate": 2.2263629693471258e-06,
1276
+ "loss": 0.7383,
1277
+ "step": 1810
1278
+ },
1279
+ {
1280
+ "epoch": 0.7008086253369272,
1281
+ "grad_norm": 0.15713216364383698,
1282
+ "learning_rate": 2.1746962128343414e-06,
1283
+ "loss": 0.7616,
1284
+ "step": 1820
1285
+ },
1286
+ {
1287
+ "epoch": 0.7046592221794378,
1288
+ "grad_norm": 0.1730462610721588,
1289
+ "learning_rate": 2.1234688997080183e-06,
1290
+ "loss": 0.7458,
1291
+ "step": 1830
1292
+ },
1293
+ {
1294
+ "epoch": 0.7085098190219484,
1295
+ "grad_norm": 0.1659398227930069,
1296
+ "learning_rate": 2.0726889977853053e-06,
1297
+ "loss": 0.7499,
1298
+ "step": 1840
1299
+ },
1300
+ {
1301
+ "epoch": 0.712360415864459,
1302
+ "grad_norm": 0.1710759848356247,
1303
+ "learning_rate": 2.022364405293703e-06,
1304
+ "loss": 0.7647,
1305
+ "step": 1850
1306
+ },
1307
+ {
1308
+ "epoch": 0.7162110127069696,
1309
+ "grad_norm": 0.16905103623867035,
1310
+ "learning_rate": 1.9725029496425814e-06,
1311
+ "loss": 0.7627,
1312
+ "step": 1860
1313
+ },
1314
+ {
1315
+ "epoch": 0.7200616095494802,
1316
+ "grad_norm": 0.17186874151229858,
1317
+ "learning_rate": 1.923112386205727e-06,
1318
+ "loss": 0.7522,
1319
+ "step": 1870
1320
+ },
1321
+ {
1322
+ "epoch": 0.7239122063919907,
1323
+ "grad_norm": 0.17047721147537231,
1324
+ "learning_rate": 1.874200397115079e-06,
1325
+ "loss": 0.7641,
1326
+ "step": 1880
1327
+ },
1328
+ {
1329
+ "epoch": 0.7277628032345014,
1330
+ "grad_norm": 0.17198698222637177,
1331
+ "learning_rate": 1.825774590065857e-06,
1332
+ "loss": 0.7494,
1333
+ "step": 1890
1334
+ },
1335
+ {
1336
+ "epoch": 0.7316134000770119,
1337
+ "grad_norm": 0.17532262206077576,
1338
+ "learning_rate": 1.7778424971332813e-06,
1339
+ "loss": 0.7611,
1340
+ "step": 1900
1341
+ },
1342
+ {
1343
+ "epoch": 0.7354639969195226,
1344
+ "grad_norm": 0.16330473124980927,
1345
+ "learning_rate": 1.7304115736010407e-06,
1346
+ "loss": 0.7581,
1347
+ "step": 1910
1348
+ },
1349
+ {
1350
+ "epoch": 0.7393145937620331,
1351
+ "grad_norm": 0.16662520170211792,
1352
+ "learning_rate": 1.6834891968017108e-06,
1353
+ "loss": 0.7476,
1354
+ "step": 1920
1355
+ },
1356
+ {
1357
+ "epoch": 0.7431651906045437,
1358
+ "grad_norm": 0.17917199432849884,
1359
+ "learning_rate": 1.6370826649692884e-06,
1360
+ "loss": 0.7675,
1361
+ "step": 1930
1362
+ },
1363
+ {
1364
+ "epoch": 0.7470157874470543,
1365
+ "grad_norm": 0.16850049793720245,
1366
+ "learning_rate": 1.5911991961040463e-06,
1367
+ "loss": 0.7635,
1368
+ "step": 1940
1369
+ },
1370
+ {
1371
+ "epoch": 0.7508663842895649,
1372
+ "grad_norm": 0.17321428656578064,
1373
+ "learning_rate": 1.545845926849851e-06,
1374
+ "loss": 0.7465,
1375
+ "step": 1950
1376
+ },
1377
+ {
1378
+ "epoch": 0.7547169811320755,
1379
+ "grad_norm": 0.18095824122428894,
1380
+ "learning_rate": 1.5010299113841397e-06,
1381
+ "loss": 0.7731,
1382
+ "step": 1960
1383
+ },
1384
+ {
1385
+ "epoch": 0.7585675779745861,
1386
+ "grad_norm": 0.1712910532951355,
1387
+ "learning_rate": 1.4567581203207238e-06,
1388
+ "loss": 0.7633,
1389
+ "step": 1970
1390
+ },
1391
+ {
1392
+ "epoch": 0.7624181748170966,
1393
+ "grad_norm": 0.18409541249275208,
1394
+ "learning_rate": 1.413037439625593e-06,
1395
+ "loss": 0.7611,
1396
+ "step": 1980
1397
+ },
1398
+ {
1399
+ "epoch": 0.7662687716596073,
1400
+ "grad_norm": 0.17721326649188995,
1401
+ "learning_rate": 1.3698746695458847e-06,
1402
+ "loss": 0.7504,
1403
+ "step": 1990
1404
+ },
1405
+ {
1406
+ "epoch": 0.7701193685021178,
1407
+ "grad_norm": 0.1690537929534912,
1408
+ "learning_rate": 1.3272765235521745e-06,
1409
+ "loss": 0.7522,
1410
+ "step": 2000
1411
+ },
1412
+ {
1413
+ "epoch": 0.7739699653446284,
1414
+ "grad_norm": 0.1638163924217224,
1415
+ "learning_rate": 1.2852496272942877e-06,
1416
+ "loss": 0.7581,
1417
+ "step": 2010
1418
+ },
1419
+ {
1420
+ "epoch": 0.777820562187139,
1421
+ "grad_norm": 0.16326020658016205,
1422
+ "learning_rate": 1.2438005175707396e-06,
1423
+ "loss": 0.7403,
1424
+ "step": 2020
1425
+ },
1426
+ {
1427
+ "epoch": 0.7816711590296496,
1428
+ "grad_norm": 0.16767634451389313,
1429
+ "learning_rate": 1.2029356413120297e-06,
1430
+ "loss": 0.7341,
1431
+ "step": 2030
1432
+ },
1433
+ {
1434
+ "epoch": 0.7855217558721602,
1435
+ "grad_norm": 0.16895434260368347,
1436
+ "learning_rate": 1.1626613545778786e-06,
1437
+ "loss": 0.7499,
1438
+ "step": 2040
1439
+ },
1440
+ {
1441
+ "epoch": 0.7893723527146708,
1442
+ "grad_norm": 0.1618742197751999,
1443
+ "learning_rate": 1.1229839215686294e-06,
1444
+ "loss": 0.7532,
1445
+ "step": 2050
1446
+ },
1447
+ {
1448
+ "epoch": 0.7932229495571813,
1449
+ "grad_norm": 0.16020986437797546,
1450
+ "learning_rate": 1.0839095136509188e-06,
1451
+ "loss": 0.7382,
1452
+ "step": 2060
1453
+ },
1454
+ {
1455
+ "epoch": 0.797073546399692,
1456
+ "grad_norm": 0.17196784913539886,
1457
+ "learning_rate": 1.045444208397791e-06,
1458
+ "loss": 0.7546,
1459
+ "step": 2070
1460
+ },
1461
+ {
1462
+ "epoch": 0.8009241432422025,
1463
+ "grad_norm": 0.15581756830215454,
1464
+ "learning_rate": 1.007593988643402e-06,
1465
+ "loss": 0.7319,
1466
+ "step": 2080
1467
+ },
1468
+ {
1469
+ "epoch": 0.8047747400847132,
1470
+ "grad_norm": 0.1547974944114685,
1471
+ "learning_rate": 9.703647415524613e-07,
1472
+ "loss": 0.7575,
1473
+ "step": 2090
1474
+ },
1475
+ {
1476
+ "epoch": 0.8086253369272237,
1477
+ "grad_norm": 0.16259057819843292,
1478
+ "learning_rate": 9.337622577045485e-07,
1479
+ "loss": 0.7505,
1480
+ "step": 2100
1481
+ },
1482
+ {
1483
+ "epoch": 0.8124759337697343,
1484
+ "grad_norm": 0.16553226113319397,
1485
+ "learning_rate": 8.977922301934588e-07,
1486
+ "loss": 0.7533,
1487
+ "step": 2110
1488
+ },
1489
+ {
1490
+ "epoch": 0.8163265306122449,
1491
+ "grad_norm": 0.17925797402858734,
1492
+ "learning_rate": 8.624602537417009e-07,
1493
+ "loss": 0.7679,
1494
+ "step": 2120
1495
+ },
1496
+ {
1497
+ "epoch": 0.8201771274547555,
1498
+ "grad_norm": 0.1662285029888153,
1499
+ "learning_rate": 8.277718238303123e-07,
1500
+ "loss": 0.7484,
1501
+ "step": 2130
1502
+ },
1503
+ {
1504
+ "epoch": 0.8240277242972661,
1505
+ "grad_norm": 0.17637494206428528,
1506
+ "learning_rate": 7.937323358440935e-07,
1507
+ "loss": 0.7525,
1508
+ "step": 2140
1509
+ },
1510
+ {
1511
+ "epoch": 0.8278783211397767,
1512
+ "grad_norm": 0.16472192108631134,
1513
+ "learning_rate": 7.603470842324223e-07,
1514
+ "loss": 0.7404,
1515
+ "step": 2150
1516
+ },
1517
+ {
1518
+ "epoch": 0.8317289179822872,
1519
+ "grad_norm": 0.16170620918273926,
1520
+ "learning_rate": 7.276212616857575e-07,
1521
+ "loss": 0.7614,
1522
+ "step": 2160
1523
+ },
1524
+ {
1525
+ "epoch": 0.8355795148247979,
1526
+ "grad_norm": 0.17338065803050995,
1527
+ "learning_rate": 6.955599583279837e-07,
1528
+ "loss": 0.7555,
1529
+ "step": 2170
1530
+ },
1531
+ {
1532
+ "epoch": 0.8394301116673084,
1533
+ "grad_norm": 0.16113600134849548,
1534
+ "learning_rate": 6.641681609246981e-07,
1535
+ "loss": 0.751,
1536
+ "step": 2180
1537
+ },
1538
+ {
1539
+ "epoch": 0.8432807085098191,
1540
+ "grad_norm": 0.16927273571491241,
1541
+ "learning_rate": 6.334507521075711e-07,
1542
+ "loss": 0.7513,
1543
+ "step": 2190
1544
+ },
1545
+ {
1546
+ "epoch": 0.8471313053523296,
1547
+ "grad_norm": 0.17721998691558838,
1548
+ "learning_rate": 6.034125096149179e-07,
1549
+ "loss": 0.7539,
1550
+ "step": 2200
1551
+ },
1552
+ {
1553
+ "epoch": 0.8509819021948402,
1554
+ "grad_norm": 0.16430328786373138,
1555
+ "learning_rate": 5.740581055485722e-07,
1556
+ "loss": 0.7262,
1557
+ "step": 2210
1558
+ },
1559
+ {
1560
+ "epoch": 0.8548324990373508,
1561
+ "grad_norm": 0.1663590967655182,
1562
+ "learning_rate": 5.453921056471961e-07,
1563
+ "loss": 0.7584,
1564
+ "step": 2220
1565
+ },
1566
+ {
1567
+ "epoch": 0.8586830958798614,
1568
+ "grad_norm": 0.1786895990371704,
1569
+ "learning_rate": 5.174189685761288e-07,
1570
+ "loss": 0.7516,
1571
+ "step": 2230
1572
+ },
1573
+ {
1574
+ "epoch": 0.862533692722372,
1575
+ "grad_norm": 0.16616761684417725,
1576
+ "learning_rate": 4.901430452338979e-07,
1577
+ "loss": 0.7625,
1578
+ "step": 2240
1579
+ },
1580
+ {
1581
+ "epoch": 0.8663842895648826,
1582
+ "grad_norm": 0.16502466797828674,
1583
+ "learning_rate": 4.6356857807548286e-07,
1584
+ "loss": 0.7508,
1585
+ "step": 2250
1586
+ },
1587
+ {
1588
+ "epoch": 0.8702348864073931,
1589
+ "grad_norm": 0.19431237876415253,
1590
+ "learning_rate": 4.376997004524541e-07,
1591
+ "loss": 0.7326,
1592
+ "step": 2260
1593
+ },
1594
+ {
1595
+ "epoch": 0.8740854832499038,
1596
+ "grad_norm": 0.16121257841587067,
1597
+ "learning_rate": 4.12540435970073e-07,
1598
+ "loss": 0.7515,
1599
+ "step": 2270
1600
+ },
1601
+ {
1602
+ "epoch": 0.8779360800924143,
1603
+ "grad_norm": 0.16017921268939972,
1604
+ "learning_rate": 3.880946978614703e-07,
1605
+ "loss": 0.7572,
1606
+ "step": 2280
1607
+ },
1608
+ {
1609
+ "epoch": 0.881786676934925,
1610
+ "grad_norm": 0.16513939201831818,
1611
+ "learning_rate": 3.643662883789878e-07,
1612
+ "loss": 0.7611,
1613
+ "step": 2290
1614
+ },
1615
+ {
1616
+ "epoch": 0.8856372737774355,
1617
+ "grad_norm": 0.1556750237941742,
1618
+ "learning_rate": 3.41358898202781e-07,
1619
+ "loss": 0.7426,
1620
+ "step": 2300
1621
+ },
1622
+ {
1623
+ "epoch": 0.889487870619946,
1624
+ "grad_norm": 0.16136522591114044,
1625
+ "learning_rate": 3.190761058667741e-07,
1626
+ "loss": 0.753,
1627
+ "step": 2310
1628
+ },
1629
+ {
1630
+ "epoch": 0.8933384674624567,
1631
+ "grad_norm": 0.15873263776302338,
1632
+ "learning_rate": 2.9752137720206463e-07,
1633
+ "loss": 0.7554,
1634
+ "step": 2320
1635
+ },
1636
+ {
1637
+ "epoch": 0.8971890643049673,
1638
+ "grad_norm": 0.168036550283432,
1639
+ "learning_rate": 2.7669806479785067e-07,
1640
+ "loss": 0.7654,
1641
+ "step": 2330
1642
+ },
1643
+ {
1644
+ "epoch": 0.9010396611474779,
1645
+ "grad_norm": 0.15915486216545105,
1646
+ "learning_rate": 2.566094074799763e-07,
1647
+ "loss": 0.7561,
1648
+ "step": 2340
1649
+ },
1650
+ {
1651
+ "epoch": 0.9048902579899885,
1652
+ "grad_norm": 0.16836591064929962,
1653
+ "learning_rate": 2.3725852980716557e-07,
1654
+ "loss": 0.7372,
1655
+ "step": 2350
1656
+ },
1657
+ {
1658
+ "epoch": 0.908740854832499,
1659
+ "grad_norm": 0.16148827970027924,
1660
+ "learning_rate": 2.1864844158503983e-07,
1661
+ "loss": 0.7525,
1662
+ "step": 2360
1663
+ },
1664
+ {
1665
+ "epoch": 0.9125914516750097,
1666
+ "grad_norm": 0.18608881533145905,
1667
+ "learning_rate": 2.007820373979702e-07,
1668
+ "loss": 0.7468,
1669
+ "step": 2370
1670
+ },
1671
+ {
1672
+ "epoch": 0.9164420485175202,
1673
+ "grad_norm": 0.15911951661109924,
1674
+ "learning_rate": 1.8366209615886532e-07,
1675
+ "loss": 0.7561,
1676
+ "step": 2380
1677
+ },
1678
+ {
1679
+ "epoch": 0.9202926453600309,
1680
+ "grad_norm": 0.16682128608226776,
1681
+ "learning_rate": 1.6729128067693613e-07,
1682
+ "loss": 0.7682,
1683
+ "step": 2390
1684
+ },
1685
+ {
1686
+ "epoch": 0.9241432422025414,
1687
+ "grad_norm": 0.18564137816429138,
1688
+ "learning_rate": 1.5167213724353426e-07,
1689
+ "loss": 0.7613,
1690
+ "step": 2400
1691
+ },
1692
+ {
1693
+ "epoch": 0.927993839045052,
1694
+ "grad_norm": 0.1643419712781906,
1695
+ "learning_rate": 1.3680709523610058e-07,
1696
+ "loss": 0.7401,
1697
+ "step": 2410
1698
+ },
1699
+ {
1700
+ "epoch": 0.9318444358875626,
1701
+ "grad_norm": 0.1593494564294815,
1702
+ "learning_rate": 1.2269846674030418e-07,
1703
+ "loss": 0.7705,
1704
+ "step": 2420
1705
+ },
1706
+ {
1707
+ "epoch": 0.9356950327300732,
1708
+ "grad_norm": 0.16343852877616882,
1709
+ "learning_rate": 1.0934844619042595e-07,
1710
+ "loss": 0.7625,
1711
+ "step": 2430
1712
+ },
1713
+ {
1714
+ "epoch": 0.9395456295725837,
1715
+ "grad_norm": 0.1676546037197113,
1716
+ "learning_rate": 9.675911002803961e-08,
1717
+ "loss": 0.7532,
1718
+ "step": 2440
1719
+ },
1720
+ {
1721
+ "epoch": 0.9433962264150944,
1722
+ "grad_norm": 0.17617088556289673,
1723
+ "learning_rate": 8.493241637904381e-08,
1724
+ "loss": 0.7413,
1725
+ "step": 2450
1726
+ },
1727
+ {
1728
+ "epoch": 0.9472468232576049,
1729
+ "grad_norm": 0.18216805160045624,
1730
+ "learning_rate": 7.387020474909689e-08,
1731
+ "loss": 0.769,
1732
+ "step": 2460
1733
+ },
1734
+ {
1735
+ "epoch": 0.9510974201001156,
1736
+ "grad_norm": 0.1769171953201294,
1737
+ "learning_rate": 6.357419573750856e-08,
1738
+ "loss": 0.7627,
1739
+ "step": 2470
1740
+ },
1741
+ {
1742
+ "epoch": 0.9549480169426261,
1743
+ "grad_norm": 0.1674850732088089,
1744
+ "learning_rate": 5.4045990769613365e-08,
1745
+ "loss": 0.7497,
1746
+ "step": 2480
1747
+ },
1748
+ {
1749
+ "epoch": 0.9587986137851366,
1750
+ "grad_norm": 0.16043511033058167,
1751
+ "learning_rate": 4.5287071847694434e-08,
1752
+ "loss": 0.7504,
1753
+ "step": 2490
1754
+ },
1755
+ {
1756
+ "epoch": 0.9626492106276473,
1757
+ "grad_norm": 0.16302524507045746,
1758
+ "learning_rate": 3.7298801320467817e-08,
1759
+ "loss": 0.7533,
1760
+ "step": 2500
1761
+ },
1762
+ {
1763
+ "epoch": 0.9664998074701578,
1764
+ "grad_norm": 0.16146576404571533,
1765
+ "learning_rate": 3.0082421671192576e-08,
1766
+ "loss": 0.7517,
1767
+ "step": 2510
1768
+ },
1769
+ {
1770
+ "epoch": 0.9703504043126685,
1771
+ "grad_norm": 0.16612739861011505,
1772
+ "learning_rate": 2.3639055324410355e-08,
1773
+ "loss": 0.7658,
1774
+ "step": 2520
1775
+ },
1776
+ {
1777
+ "epoch": 0.974201001155179,
1778
+ "grad_norm": 0.17083778977394104,
1779
+ "learning_rate": 1.7969704471369477e-08,
1780
+ "loss": 0.7464,
1781
+ "step": 2530
1782
+ },
1783
+ {
1784
+ "epoch": 0.9780515979976896,
1785
+ "grad_norm": 0.15930567681789398,
1786
+ "learning_rate": 1.3075250914142413e-08,
1787
+ "loss": 0.7464,
1788
+ "step": 2540
1789
+ },
1790
+ {
1791
+ "epoch": 0.9819021948402002,
1792
+ "grad_norm": 0.15768849849700928,
1793
+ "learning_rate": 8.956455928476049e-09,
1794
+ "loss": 0.7615,
1795
+ "step": 2550
1796
+ },
1797
+ {
1798
+ "epoch": 0.9857527916827108,
1799
+ "grad_norm": 0.1561444252729416,
1800
+ "learning_rate": 5.6139601453786275e-09,
1801
+ "loss": 0.7468,
1802
+ "step": 2560
1803
+ },
1804
+ {
1805
+ "epoch": 0.9896033885252215,
1806
+ "grad_norm": 0.16302920877933502,
1807
+ "learning_rate": 3.0482834514805602e-09,
1808
+ "loss": 0.7432,
1809
+ "step": 2570
1810
+ },
1811
+ {
1812
+ "epoch": 0.993453985367732,
1813
+ "grad_norm": 0.16053883731365204,
1814
+ "learning_rate": 1.2598249081713366e-09,
1815
+ "loss": 0.7346,
1816
+ "step": 2580
1817
+ },
1818
+ {
1819
+ "epoch": 0.9973045822102425,
1820
+ "grad_norm": 0.1726328432559967,
1821
+ "learning_rate": 2.488626895302826e-10,
1822
+ "loss": 0.7663,
1823
+ "step": 2590
1824
+ },
1825
+ {
1826
+ "epoch": 1.0,
1827
+ "step": 2597,
1828
+ "total_flos": 5.740955908008051e+18,
1829
+ "train_loss": 0.7686854332375628,
1830
+ "train_runtime": 14640.2853,
1831
+ "train_samples_per_second": 45.416,
1832
+ "train_steps_per_second": 0.177
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": 5.740955908008051e+18,
1853
+ "train_batch_size": 16,
1854
+ "trial_name": null,
1855
+ "trial_params": null
1856
+ }
continuous/smollm2/mc2_s16_224_mt5/finetune/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:768b4c734196955dc17ec3b09523ea51c3fe759577418e7cd2d9efc212c5b213
3
+ size 6264
continuous/smollm2/mc2_s16_224_mt5/finetune/vocab.json ADDED
The diff for this file is too large to render. See raw diff
 
continuous/smollm2/mc2_s16_224_mt5/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": 384,
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": -2,
38
+ "mm_vision_tower": "open_clip_hub:ViT-S-16",
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/mc2/mc2_s16_224_mt5.pt",
69
+ "vocab_size": 49152
70
+ }
continuous/smollm2/mc2_s16_224_mt5/pretrain/mm_projector.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ed30bbbea6779fe7da5f3f172fb2be28bd376967e0990094eb670744298d5d12
3
+ size 19941432
continuous/smollm2/mc2_s16_224_mt5/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": 0.8074561357498169,
15
+ "learning_rate": 0.00032142857142857147,
16
+ "loss": 3.5465,
17
+ "step": 10
18
+ },
19
+ {
20
+ "epoch": 0.03669724770642202,
21
+ "grad_norm": 0.10593318939208984,
22
+ "learning_rate": 0.0006785714285714287,
23
+ "loss": 2.8557,
24
+ "step": 20
25
+ },
26
+ {
27
+ "epoch": 0.05504587155963303,
28
+ "grad_norm": 0.05761305242776871,
29
+ "learning_rate": 0.0009999907688176173,
30
+ "loss": 2.7726,
31
+ "step": 30
32
+ },
33
+ {
34
+ "epoch": 0.07339449541284404,
35
+ "grad_norm": 0.08941372483968735,
36
+ "learning_rate": 0.0009988834393115766,
37
+ "loss": 2.716,
38
+ "step": 40
39
+ },
40
+ {
41
+ "epoch": 0.09174311926605505,
42
+ "grad_norm": 0.10174373537302017,
43
+ "learning_rate": 0.0009959345572940772,
44
+ "loss": 2.6761,
45
+ "step": 50
46
+ },
47
+ {
48
+ "epoch": 0.11009174311926606,
49
+ "grad_norm": 0.08646225929260254,
50
+ "learning_rate": 0.0009911550081155983,
51
+ "loss": 2.6234,
52
+ "step": 60
53
+ },
54
+ {
55
+ "epoch": 0.12844036697247707,
56
+ "grad_norm": 0.0996006429195404,
57
+ "learning_rate": 0.0009845624347566433,
58
+ "loss": 2.5836,
59
+ "step": 70
60
+ },
61
+ {
62
+ "epoch": 0.14678899082568808,
63
+ "grad_norm": 0.14569056034088135,
64
+ "learning_rate": 0.0009761811727013547,
65
+ "loss": 2.5437,
66
+ "step": 80
67
+ },
68
+ {
69
+ "epoch": 0.1651376146788991,
70
+ "grad_norm": 0.11526815593242645,
71
+ "learning_rate": 0.0009660421601067666,
72
+ "loss": 2.5155,
73
+ "step": 90
74
+ },
75
+ {
76
+ "epoch": 0.1834862385321101,
77
+ "grad_norm": 0.091184601187706,
78
+ "learning_rate": 0.0009541828235992926,
79
+ "loss": 2.4966,
80
+ "step": 100
81
+ },
82
+ {
83
+ "epoch": 0.2018348623853211,
84
+ "grad_norm": 0.11677692830562592,
85
+ "learning_rate": 0.0009406469401200151,
86
+ "loss": 2.4717,
87
+ "step": 110
88
+ },
89
+ {
90
+ "epoch": 0.22018348623853212,
91
+ "grad_norm": 0.09781854599714279,
92
+ "learning_rate": 0.0009254844753287492,
93
+ "loss": 2.4607,
94
+ "step": 120
95
+ },
96
+ {
97
+ "epoch": 0.23853211009174313,
98
+ "grad_norm": 0.09337840974330902,
99
+ "learning_rate": 0.0009087513991633924,
100
+ "loss": 2.4354,
101
+ "step": 130
102
+ },
103
+ {
104
+ "epoch": 0.25688073394495414,
105
+ "grad_norm": 0.08634435385465622,
106
+ "learning_rate": 0.0008905094792353917,
107
+ "loss": 2.4193,
108
+ "step": 140
109
+ },
110
+ {
111
+ "epoch": 0.27522935779816515,
112
+ "grad_norm": 0.08597267419099808,
113
+ "learning_rate": 0.0008708260528239789,
114
+ "loss": 2.4211,
115
+ "step": 150
116
+ },
117
+ {
118
+ "epoch": 0.29357798165137616,
119
+ "grad_norm": 0.0897943526506424,
120
+ "learning_rate": 0.0008497737783108237,
121
+ "loss": 2.4064,
122
+ "step": 160
123
+ },
124
+ {
125
+ "epoch": 0.3119266055045872,
126
+ "grad_norm": 0.09695221483707428,
127
+ "learning_rate": 0.0008274303669726426,
128
+ "loss": 2.401,
129
+ "step": 170
130
+ },
131
+ {
132
+ "epoch": 0.3302752293577982,
133
+ "grad_norm": 0.10705643147230148,
134
+ "learning_rate": 0.0008038782961218137,
135
+ "loss": 2.384,
136
+ "step": 180
137
+ },
138
+ {
139
+ "epoch": 0.3486238532110092,
140
+ "grad_norm": 0.0952981561422348,
141
+ "learning_rate": 0.000779204504653894,
142
+ "loss": 2.3707,
143
+ "step": 190
144
+ },
145
+ {
146
+ "epoch": 0.3669724770642202,
147
+ "grad_norm": 0.09798302501440048,
148
+ "learning_rate": 0.0007535000721258791,
149
+ "loss": 2.3401,
150
+ "step": 200
151
+ },
152
+ {
153
+ "epoch": 0.3853211009174312,
154
+ "grad_norm": 0.10304620116949081,
155
+ "learning_rate": 0.00072685988254984,
156
+ "loss": 2.3314,
157
+ "step": 210
158
+ },
159
+ {
160
+ "epoch": 0.4036697247706422,
161
+ "grad_norm": 0.09255443513393402,
162
+ "learning_rate": 0.0006993822741429906,
163
+ "loss": 2.3293,
164
+ "step": 220
165
+ },
166
+ {
167
+ "epoch": 0.42201834862385323,
168
+ "grad_norm": 0.09354556351900101,
169
+ "learning_rate": 0.0006711686763270818,
170
+ "loss": 2.3168,
171
+ "step": 230
172
+ },
173
+ {
174
+ "epoch": 0.44036697247706424,
175
+ "grad_norm": 0.08961095660924911,
176
+ "learning_rate": 0.0006423232353170831,
177
+ "loss": 2.303,
178
+ "step": 240
179
+ },
180
+ {
181
+ "epoch": 0.45871559633027525,
182
+ "grad_norm": 0.1265297681093216,
183
+ "learning_rate": 0.0006129524296812335,
184
+ "loss": 2.2966,
185
+ "step": 250
186
+ },
187
+ {
188
+ "epoch": 0.47706422018348627,
189
+ "grad_norm": 0.09314541518688202,
190
+ "learning_rate": 0.0005831646772915651,
191
+ "loss": 2.2985,
192
+ "step": 260
193
+ },
194
+ {
195
+ "epoch": 0.4954128440366973,
196
+ "grad_norm": 0.0866723507642746,
197
+ "learning_rate": 0.0005530699351157809,
198
+ "loss": 2.2762,
199
+ "step": 270
200
+ },
201
+ {
202
+ "epoch": 0.5137614678899083,
203
+ "grad_norm": 0.09978239983320236,
204
+ "learning_rate": 0.0005227792933277943,
205
+ "loss": 2.2807,
206
+ "step": 280
207
+ },
208
+ {
209
+ "epoch": 0.5321100917431193,
210
+ "grad_norm": 0.08431777358055115,
211
+ "learning_rate": 0.0004924045652352092,
212
+ "loss": 2.2665,
213
+ "step": 290
214
+ },
215
+ {
216
+ "epoch": 0.5504587155963303,
217
+ "grad_norm": 0.08423244953155518,
218
+ "learning_rate": 0.0004620578745374633,
219
+ "loss": 2.2655,
220
+ "step": 300
221
+ },
222
+ {
223
+ "epoch": 0.5688073394495413,
224
+ "grad_norm": 0.11872367560863495,
225
+ "learning_rate": 0.0004318512414382059,
226
+ "loss": 2.2701,
227
+ "step": 310
228
+ },
229
+ {
230
+ "epoch": 0.5871559633027523,
231
+ "grad_norm": 0.09395363926887512,
232
+ "learning_rate": 0.0004018961691397148,
233
+ "loss": 2.27,
234
+ "step": 320
235
+ },
236
+ {
237
+ "epoch": 0.6055045871559633,
238
+ "grad_norm": 0.09062764793634415,
239
+ "learning_rate": 0.0003723032322457458,
240
+ "loss": 2.2564,
241
+ "step": 330
242
+ },
243
+ {
244
+ "epoch": 0.6238532110091743,
245
+ "grad_norm": 0.12591394782066345,
246
+ "learning_rate": 0.0003431816685921625,
247
+ "loss": 2.2567,
248
+ "step": 340
249
+ },
250
+ {
251
+ "epoch": 0.6422018348623854,
252
+ "grad_norm": 0.09067337960004807,
253
+ "learning_rate": 0.0003146389760120416,
254
+ "loss": 2.2575,
255
+ "step": 350
256
+ },
257
+ {
258
+ "epoch": 0.6605504587155964,
259
+ "grad_norm": 0.08680154383182526,
260
+ "learning_rate": 0.00028678051552373485,
261
+ "loss": 2.2576,
262
+ "step": 360
263
+ },
264
+ {
265
+ "epoch": 0.6788990825688074,
266
+ "grad_norm": 0.08219211548566818,
267
+ "learning_rate": 0.0002597091224066581,
268
+ "loss": 2.2517,
269
+ "step": 370
270
+ },
271
+ {
272
+ "epoch": 0.6972477064220184,
273
+ "grad_norm": 0.0800662487745285,
274
+ "learning_rate": 0.0002335247266004629,
275
+ "loss": 2.2579,
276
+ "step": 380
277
+ },
278
+ {
279
+ "epoch": 0.7155963302752294,
280
+ "grad_norm": 0.09260127693414688,
281
+ "learning_rate": 0.000208323983828828,
282
+ "loss": 2.2469,
283
+ "step": 390
284
+ },
285
+ {
286
+ "epoch": 0.7339449541284404,
287
+ "grad_norm": 0.08151302486658096,
288
+ "learning_rate": 0.0001841999188095224,
289
+ "loss": 2.244,
290
+ "step": 400
291
+ },
292
+ {
293
+ "epoch": 0.7522935779816514,
294
+ "grad_norm": 0.0882953628897667,
295
+ "learning_rate": 0.00016124158186777676,
296
+ "loss": 2.2449,
297
+ "step": 410
298
+ },
299
+ {
300
+ "epoch": 0.7706422018348624,
301
+ "grad_norm": 0.11026786267757416,
302
+ "learning_rate": 0.0001395337202205211,
303
+ "loss": 2.2423,
304
+ "step": 420
305
+ },
306
+ {
307
+ "epoch": 0.7889908256880734,
308
+ "grad_norm": 0.08668748289346695,
309
+ "learning_rate": 0.00011915646514489292,
310
+ "loss": 2.2408,
311
+ "step": 430
312
+ },
313
+ {
314
+ "epoch": 0.8073394495412844,
315
+ "grad_norm": 0.09062723815441132,
316
+ "learning_rate": 0.00010018503618578818,
317
+ "loss": 2.2477,
318
+ "step": 440
319
+ },
320
+ {
321
+ "epoch": 0.8256880733944955,
322
+ "grad_norm": 0.08052492141723633,
323
+ "learning_rate": 8.268946349432583e-05,
324
+ "loss": 2.2439,
325
+ "step": 450
326
+ },
327
+ {
328
+ "epoch": 0.8440366972477065,
329
+ "grad_norm": 0.08072051405906677,
330
+ "learning_rate": 6.673432932217117e-05,
331
+ "loss": 2.2354,
332
+ "step": 460
333
+ },
334
+ {
335
+ "epoch": 0.8623853211009175,
336
+ "grad_norm": 0.08910848945379257,
337
+ "learning_rate": 5.2378529625954684e-05,
338
+ "loss": 2.2276,
339
+ "step": 470
340
+ },
341
+ {
342
+ "epoch": 0.8807339449541285,
343
+ "grad_norm": 0.07477140426635742,
344
+ "learning_rate": 3.9675056661785556e-05,
345
+ "loss": 2.2312,
346
+ "step": 480
347
+ },
348
+ {
349
+ "epoch": 0.8990825688073395,
350
+ "grad_norm": 0.07241078466176987,
351
+ "learning_rate": 2.8670803372379538e-05,
352
+ "loss": 2.2383,
353
+ "step": 490
354
+ },
355
+ {
356
+ "epoch": 0.9174311926605505,
357
+ "grad_norm": 0.08252150565385818,
358
+ "learning_rate": 1.9406390288876586e-05,
359
+ "loss": 2.2432,
360
+ "step": 500
361
+ },
362
+ {
363
+ "epoch": 0.9357798165137615,
364
+ "grad_norm": 0.0743560642004013,
365
+ "learning_rate": 1.191601558631461e-05,
366
+ "loss": 2.2328,
367
+ "step": 510
368
+ },
369
+ {
370
+ "epoch": 0.9541284403669725,
371
+ "grad_norm": 0.07946345955133438,
372
+ "learning_rate": 6.2273288462559305e-06,
373
+ "loss": 2.231,
374
+ "step": 520
375
+ },
376
+ {
377
+ "epoch": 0.9724770642201835,
378
+ "grad_norm": 0.07064651697874069,
379
+ "learning_rate": 2.361328992552314e-06,
380
+ "loss": 2.2337,
381
+ "step": 530
382
+ },
383
+ {
384
+ "epoch": 0.9908256880733946,
385
+ "grad_norm": 0.07795900851488113,
386
+ "learning_rate": 3.322867770044202e-07,
387
+ "loss": 2.23,
388
+ "step": 540
389
+ },
390
+ {
391
+ "epoch": 1.0,
392
+ "step": 545,
393
+ "total_flos": 3.405189529856901e+17,
394
+ "train_loss": 2.3749171615740576,
395
+ "train_runtime": 1392.013,
396
+ "train_samples_per_second": 400.95,
397
+ "train_steps_per_second": 0.392
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": 3.405189529856901e+17,
418
+ "train_batch_size": 64,
419
+ "trial_name": null,
420
+ "trial_params": null
421
+ }
continuous/smollm2/mc2_s16_384/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/mc2_s16_384/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": 384,
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-S-16",
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/mc2/mc2_s16_384.pt",
69
+ "vocab_size": 49152
70
+ }
continuous/smollm2/mc2_s16_384/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/mc2_s16_384/finetune/merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
continuous/smollm2/mc2_s16_384/finetune/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c8bc91f690fa27dea333852ba0d19e59b4fc6af76459a00abf3b34a27e98447e
3
+ size 3687985120
continuous/smollm2/mc2_s16_384/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/mc2_s16_384/finetune/tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
continuous/smollm2/mc2_s16_384/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/mc2_s16_384/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": 3.2670440673828125,
15
+ "learning_rate": 1.153846153846154e-06,
16
+ "loss": 1.2676,
17
+ "step": 10
18
+ },
19
+ {
20
+ "epoch": 0.007701193685021178,
21
+ "grad_norm": 1.9041327238082886,
22
+ "learning_rate": 2.435897435897436e-06,
23
+ "loss": 1.1014,
24
+ "step": 20
25
+ },
26
+ {
27
+ "epoch": 0.011551790527531768,
28
+ "grad_norm": 1.9215290546417236,
29
+ "learning_rate": 3.7179487179487184e-06,
30
+ "loss": 0.9921,
31
+ "step": 30
32
+ },
33
+ {
34
+ "epoch": 0.015402387370042356,
35
+ "grad_norm": 1.3793749809265137,
36
+ "learning_rate": 5e-06,
37
+ "loss": 0.9532,
38
+ "step": 40
39
+ },
40
+ {
41
+ "epoch": 0.019252984212552945,
42
+ "grad_norm": 1.29578697681427,
43
+ "learning_rate": 6.282051282051282e-06,
44
+ "loss": 0.947,
45
+ "step": 50
46
+ },
47
+ {
48
+ "epoch": 0.023103581055063535,
49
+ "grad_norm": 0.29793959856033325,
50
+ "learning_rate": 7.564102564102564e-06,
51
+ "loss": 0.8799,
52
+ "step": 60
53
+ },
54
+ {
55
+ "epoch": 0.026954177897574125,
56
+ "grad_norm": 0.23559552431106567,
57
+ "learning_rate": 8.846153846153847e-06,
58
+ "loss": 0.8344,
59
+ "step": 70
60
+ },
61
+ {
62
+ "epoch": 0.030804774740084712,
63
+ "grad_norm": 0.2683620750904083,
64
+ "learning_rate": 9.999996111488723e-06,
65
+ "loss": 0.8489,
66
+ "step": 80
67
+ },
68
+ {
69
+ "epoch": 0.0346553715825953,
70
+ "grad_norm": 0.22361624240875244,
71
+ "learning_rate": 9.999529497453782e-06,
72
+ "loss": 0.8347,
73
+ "step": 90
74
+ },
75
+ {
76
+ "epoch": 0.03850596842510589,
77
+ "grad_norm": 0.2130550891160965,
78
+ "learning_rate": 9.998285264324193e-06,
79
+ "loss": 0.8043,
80
+ "step": 100
81
+ },
82
+ {
83
+ "epoch": 0.04235656526761648,
84
+ "grad_norm": 0.24251365661621094,
85
+ "learning_rate": 9.996263605626052e-06,
86
+ "loss": 0.7964,
87
+ "step": 110
88
+ },
89
+ {
90
+ "epoch": 0.04620716211012707,
91
+ "grad_norm": 0.2284625917673111,
92
+ "learning_rate": 9.99346483580503e-06,
93
+ "loss": 0.816,
94
+ "step": 120
95
+ },
96
+ {
97
+ "epoch": 0.05005775895263766,
98
+ "grad_norm": 0.25574854016304016,
99
+ "learning_rate": 9.989889390177467e-06,
100
+ "loss": 0.7923,
101
+ "step": 130
102
+ },
103
+ {
104
+ "epoch": 0.05390835579514825,
105
+ "grad_norm": 0.25151267647743225,
106
+ "learning_rate": 9.985537824862647e-06,
107
+ "loss": 0.8066,
108
+ "step": 140
109
+ },
110
+ {
111
+ "epoch": 0.05775895263765884,
112
+ "grad_norm": 0.2523132264614105,
113
+ "learning_rate": 9.980410816696317e-06,
114
+ "loss": 0.7844,
115
+ "step": 150
116
+ },
117
+ {
118
+ "epoch": 0.061609549480169425,
119
+ "grad_norm": 0.2112942934036255,
120
+ "learning_rate": 9.97450916312541e-06,
121
+ "loss": 0.7912,
122
+ "step": 160
123
+ },
124
+ {
125
+ "epoch": 0.06546014632268002,
126
+ "grad_norm": 0.18541964888572693,
127
+ "learning_rate": 9.967833782084004e-06,
128
+ "loss": 0.7917,
129
+ "step": 170
130
+ },
131
+ {
132
+ "epoch": 0.0693107431651906,
133
+ "grad_norm": 0.22196558117866516,
134
+ "learning_rate": 9.960385711850554e-06,
135
+ "loss": 0.8224,
136
+ "step": 180
137
+ },
138
+ {
139
+ "epoch": 0.07316134000770119,
140
+ "grad_norm": 0.2581624388694763,
141
+ "learning_rate": 9.952166110886394e-06,
142
+ "loss": 0.8106,
143
+ "step": 190
144
+ },
145
+ {
146
+ "epoch": 0.07701193685021178,
147
+ "grad_norm": 0.2108192890882492,
148
+ "learning_rate": 9.943176257655567e-06,
149
+ "loss": 0.8074,
150
+ "step": 200
151
+ },
152
+ {
153
+ "epoch": 0.08086253369272237,
154
+ "grad_norm": 0.20676755905151367,
155
+ "learning_rate": 9.933417550425952e-06,
156
+ "loss": 0.7963,
157
+ "step": 210
158
+ },
159
+ {
160
+ "epoch": 0.08471313053523297,
161
+ "grad_norm": 0.2035546749830246,
162
+ "learning_rate": 9.9228915070518e-06,
163
+ "loss": 0.785,
164
+ "step": 220
165
+ },
166
+ {
167
+ "epoch": 0.08856372737774355,
168
+ "grad_norm": 0.19551055133342743,
169
+ "learning_rate": 9.911599764737632e-06,
170
+ "loss": 0.7828,
171
+ "step": 230
172
+ },
173
+ {
174
+ "epoch": 0.09241432422025414,
175
+ "grad_norm": 0.19607412815093994,
176
+ "learning_rate": 9.899544079783606e-06,
177
+ "loss": 0.7751,
178
+ "step": 240
179
+ },
180
+ {
181
+ "epoch": 0.09626492106276473,
182
+ "grad_norm": 0.2088022083044052,
183
+ "learning_rate": 9.886726327312338e-06,
184
+ "loss": 0.794,
185
+ "step": 250
186
+ },
187
+ {
188
+ "epoch": 0.10011551790527531,
189
+ "grad_norm": 0.21688535809516907,
190
+ "learning_rate": 9.87314850097724e-06,
191
+ "loss": 0.7908,
192
+ "step": 260
193
+ },
194
+ {
195
+ "epoch": 0.1039661147477859,
196
+ "grad_norm": 0.2317962944507599,
197
+ "learning_rate": 9.858812712652452e-06,
198
+ "loss": 0.7746,
199
+ "step": 270
200
+ },
201
+ {
202
+ "epoch": 0.1078167115902965,
203
+ "grad_norm": 0.20330895483493805,
204
+ "learning_rate": 9.843721192104341e-06,
205
+ "loss": 0.7712,
206
+ "step": 280
207
+ },
208
+ {
209
+ "epoch": 0.11166730843280709,
210
+ "grad_norm": 0.20497579872608185,
211
+ "learning_rate": 9.827876286644698e-06,
212
+ "loss": 0.8033,
213
+ "step": 290
214
+ },
215
+ {
216
+ "epoch": 0.11551790527531768,
217
+ "grad_norm": 0.19107834994792938,
218
+ "learning_rate": 9.811280460765643e-06,
219
+ "loss": 0.761,
220
+ "step": 300
221
+ },
222
+ {
223
+ "epoch": 0.11936850211782826,
224
+ "grad_norm": 0.21274785697460175,
225
+ "learning_rate": 9.793936295756292e-06,
226
+ "loss": 0.7665,
227
+ "step": 310
228
+ },
229
+ {
230
+ "epoch": 0.12321909896033885,
231
+ "grad_norm": 0.1985083371400833,
232
+ "learning_rate": 9.775846489301279e-06,
233
+ "loss": 0.7752,
234
+ "step": 320
235
+ },
236
+ {
237
+ "epoch": 0.12706969580284944,
238
+ "grad_norm": 0.19835875928401947,
239
+ "learning_rate": 9.757013855061157e-06,
240
+ "loss": 0.7775,
241
+ "step": 330
242
+ },
243
+ {
244
+ "epoch": 0.13092029264536004,
245
+ "grad_norm": 0.20337261259555817,
246
+ "learning_rate": 9.737441322234758e-06,
247
+ "loss": 0.78,
248
+ "step": 340
249
+ },
250
+ {
251
+ "epoch": 0.1347708894878706,
252
+ "grad_norm": 0.22022078931331635,
253
+ "learning_rate": 9.717131935103605e-06,
254
+ "loss": 0.7866,
255
+ "step": 350
256
+ },
257
+ {
258
+ "epoch": 0.1386214863303812,
259
+ "grad_norm": 0.20011816918849945,
260
+ "learning_rate": 9.696088852558398e-06,
261
+ "loss": 0.7671,
262
+ "step": 360
263
+ },
264
+ {
265
+ "epoch": 0.1424720831728918,
266
+ "grad_norm": 0.21774990856647491,
267
+ "learning_rate": 9.674315347607686e-06,
268
+ "loss": 0.7962,
269
+ "step": 370
270
+ },
271
+ {
272
+ "epoch": 0.14632268001540238,
273
+ "grad_norm": 0.20136025547981262,
274
+ "learning_rate": 9.651814806868796e-06,
275
+ "loss": 0.7609,
276
+ "step": 380
277
+ },
278
+ {
279
+ "epoch": 0.15017327685791299,
280
+ "grad_norm": 0.20044922828674316,
281
+ "learning_rate": 9.62859073004107e-06,
282
+ "loss": 0.7631,
283
+ "step": 390
284
+ },
285
+ {
286
+ "epoch": 0.15402387370042356,
287
+ "grad_norm": 0.1821749359369278,
288
+ "learning_rate": 9.604646729361547e-06,
289
+ "loss": 0.77,
290
+ "step": 400
291
+ },
292
+ {
293
+ "epoch": 0.15787447054293416,
294
+ "grad_norm": 0.20754371583461761,
295
+ "learning_rate": 9.579986529043099e-06,
296
+ "loss": 0.766,
297
+ "step": 410
298
+ },
299
+ {
300
+ "epoch": 0.16172506738544473,
301
+ "grad_norm": 0.20541627705097198,
302
+ "learning_rate": 9.554613964695189e-06,
303
+ "loss": 0.7826,
304
+ "step": 420
305
+ },
306
+ {
307
+ "epoch": 0.16557566422795533,
308
+ "grad_norm": 0.19959838688373566,
309
+ "learning_rate": 9.528532982727281e-06,
310
+ "loss": 0.7626,
311
+ "step": 430
312
+ },
313
+ {
314
+ "epoch": 0.16942626107046593,
315
+ "grad_norm": 0.19353069365024567,
316
+ "learning_rate": 9.501747639735018e-06,
317
+ "loss": 0.7695,
318
+ "step": 440
319
+ },
320
+ {
321
+ "epoch": 0.1732768579129765,
322
+ "grad_norm": 0.1881004124879837,
323
+ "learning_rate": 9.474262101869272e-06,
324
+ "loss": 0.7548,
325
+ "step": 450
326
+ },
327
+ {
328
+ "epoch": 0.1771274547554871,
329
+ "grad_norm": 0.2130943089723587,
330
+ "learning_rate": 9.446080644188141e-06,
331
+ "loss": 0.7637,
332
+ "step": 460
333
+ },
334
+ {
335
+ "epoch": 0.18097805159799768,
336
+ "grad_norm": 0.19342376291751862,
337
+ "learning_rate": 9.417207649992017e-06,
338
+ "loss": 0.7653,
339
+ "step": 470
340
+ },
341
+ {
342
+ "epoch": 0.18482864844050828,
343
+ "grad_norm": 0.1954622119665146,
344
+ "learning_rate": 9.387647610141816e-06,
345
+ "loss": 0.765,
346
+ "step": 480
347
+ },
348
+ {
349
+ "epoch": 0.18867924528301888,
350
+ "grad_norm": 0.1897650808095932,
351
+ "learning_rate": 9.35740512236047e-06,
352
+ "loss": 0.7586,
353
+ "step": 490
354
+ },
355
+ {
356
+ "epoch": 0.19252984212552945,
357
+ "grad_norm": 0.1747424453496933,
358
+ "learning_rate": 9.326484890517809e-06,
359
+ "loss": 0.7631,
360
+ "step": 500
361
+ },
362
+ {
363
+ "epoch": 0.19638043896804006,
364
+ "grad_norm": 0.19954320788383484,
365
+ "learning_rate": 9.294891723898926e-06,
366
+ "loss": 0.7528,
367
+ "step": 510
368
+ },
369
+ {
370
+ "epoch": 0.20023103581055063,
371
+ "grad_norm": 0.1907779574394226,
372
+ "learning_rate": 9.262630536456153e-06,
373
+ "loss": 0.7763,
374
+ "step": 520
375
+ },
376
+ {
377
+ "epoch": 0.20408163265306123,
378
+ "grad_norm": 0.19348673522472382,
379
+ "learning_rate": 9.229706346044749e-06,
380
+ "loss": 0.7583,
381
+ "step": 530
382
+ },
383
+ {
384
+ "epoch": 0.2079322294955718,
385
+ "grad_norm": 0.19744668900966644,
386
+ "learning_rate": 9.196124273642422e-06,
387
+ "loss": 0.7688,
388
+ "step": 540
389
+ },
390
+ {
391
+ "epoch": 0.2117828263380824,
392
+ "grad_norm": 0.1791299432516098,
393
+ "learning_rate": 9.161889542552842e-06,
394
+ "loss": 0.776,
395
+ "step": 550
396
+ },
397
+ {
398
+ "epoch": 0.215633423180593,
399
+ "grad_norm": 0.1902577131986618,
400
+ "learning_rate": 9.127007477593193e-06,
401
+ "loss": 0.7774,
402
+ "step": 560
403
+ },
404
+ {
405
+ "epoch": 0.21948402002310358,
406
+ "grad_norm": 0.19655388593673706,
407
+ "learning_rate": 9.091483504265974e-06,
408
+ "loss": 0.7912,
409
+ "step": 570
410
+ },
411
+ {
412
+ "epoch": 0.22333461686561418,
413
+ "grad_norm": 0.21032097935676575,
414
+ "learning_rate": 9.055323147915116e-06,
415
+ "loss": 0.7588,
416
+ "step": 580
417
+ },
418
+ {
419
+ "epoch": 0.22718521370812475,
420
+ "grad_norm": 0.20316103100776672,
421
+ "learning_rate": 9.018532032866585e-06,
422
+ "loss": 0.775,
423
+ "step": 590
424
+ },
425
+ {
426
+ "epoch": 0.23103581055063535,
427
+ "grad_norm": 0.18139831721782684,
428
+ "learning_rate": 8.981115881553579e-06,
429
+ "loss": 0.772,
430
+ "step": 600
431
+ },
432
+ {
433
+ "epoch": 0.23488640739314592,
434
+ "grad_norm": 0.20576432347297668,
435
+ "learning_rate": 8.943080513626476e-06,
436
+ "loss": 0.7914,
437
+ "step": 610
438
+ },
439
+ {
440
+ "epoch": 0.23873700423565652,
441
+ "grad_norm": 0.17943163216114044,
442
+ "learning_rate": 8.904431845047641e-06,
443
+ "loss": 0.7679,
444
+ "step": 620
445
+ },
446
+ {
447
+ "epoch": 0.24258760107816713,
448
+ "grad_norm": 0.20057226717472076,
449
+ "learning_rate": 8.86517588717128e-06,
450
+ "loss": 0.781,
451
+ "step": 630
452
+ },
453
+ {
454
+ "epoch": 0.2464381979206777,
455
+ "grad_norm": 0.21204552054405212,
456
+ "learning_rate": 8.82531874580844e-06,
457
+ "loss": 0.7784,
458
+ "step": 640
459
+ },
460
+ {
461
+ "epoch": 0.25028879476318827,
462
+ "grad_norm": 0.1762523651123047,
463
+ "learning_rate": 8.784866620277314e-06,
464
+ "loss": 0.7392,
465
+ "step": 650
466
+ },
467
+ {
468
+ "epoch": 0.25413939160569887,
469
+ "grad_norm": 0.20773184299468994,
470
+ "learning_rate": 8.743825802439018e-06,
471
+ "loss": 0.7642,
472
+ "step": 660
473
+ },
474
+ {
475
+ "epoch": 0.2579899884482095,
476
+ "grad_norm": 0.18517641723155975,
477
+ "learning_rate": 8.702202675718956e-06,
478
+ "loss": 0.7745,
479
+ "step": 670
480
+ },
481
+ {
482
+ "epoch": 0.2618405852907201,
483
+ "grad_norm": 0.17828911542892456,
484
+ "learning_rate": 8.660003714113959e-06,
485
+ "loss": 0.7556,
486
+ "step": 680
487
+ },
488
+ {
489
+ "epoch": 0.2656911821332307,
490
+ "grad_norm": 0.18816450238227844,
491
+ "learning_rate": 8.617235481185323e-06,
492
+ "loss": 0.7646,
493
+ "step": 690
494
+ },
495
+ {
496
+ "epoch": 0.2695417789757412,
497
+ "grad_norm": 0.19375507533550262,
498
+ "learning_rate": 8.573904629037931e-06,
499
+ "loss": 0.7773,
500
+ "step": 700
501
+ },
502
+ {
503
+ "epoch": 0.2733923758182518,
504
+ "grad_norm": 0.17637118697166443,
505
+ "learning_rate": 8.530017897285585e-06,
506
+ "loss": 0.7584,
507
+ "step": 710
508
+ },
509
+ {
510
+ "epoch": 0.2772429726607624,
511
+ "grad_norm": 0.18272647261619568,
512
+ "learning_rate": 8.485582112002746e-06,
513
+ "loss": 0.7597,
514
+ "step": 720
515
+ },
516
+ {
517
+ "epoch": 0.281093569503273,
518
+ "grad_norm": 0.18955564498901367,
519
+ "learning_rate": 8.440604184662811e-06,
520
+ "loss": 0.7695,
521
+ "step": 730
522
+ },
523
+ {
524
+ "epoch": 0.2849441663457836,
525
+ "grad_norm": 0.19002021849155426,
526
+ "learning_rate": 8.395091111063118e-06,
527
+ "loss": 0.7545,
528
+ "step": 740
529
+ },
530
+ {
531
+ "epoch": 0.28879476318829417,
532
+ "grad_norm": 0.1811351329088211,
533
+ "learning_rate": 8.349049970236822e-06,
534
+ "loss": 0.7519,
535
+ "step": 750
536
+ },
537
+ {
538
+ "epoch": 0.29264536003080477,
539
+ "grad_norm": 0.19154292345046997,
540
+ "learning_rate": 8.302487923351842e-06,
541
+ "loss": 0.7489,
542
+ "step": 760
543
+ },
544
+ {
545
+ "epoch": 0.29649595687331537,
546
+ "grad_norm": 0.18192511796951294,
547
+ "learning_rate": 8.255412212597021e-06,
548
+ "loss": 0.7668,
549
+ "step": 770
550
+ },
551
+ {
552
+ "epoch": 0.30034655371582597,
553
+ "grad_norm": 0.19325612485408783,
554
+ "learning_rate": 8.207830160055688e-06,
555
+ "loss": 0.7626,
556
+ "step": 780
557
+ },
558
+ {
559
+ "epoch": 0.3041971505583365,
560
+ "grad_norm": 0.17700767517089844,
561
+ "learning_rate": 8.159749166566786e-06,
562
+ "loss": 0.7463,
563
+ "step": 790
564
+ },
565
+ {
566
+ "epoch": 0.3080477474008471,
567
+ "grad_norm": 0.19188588857650757,
568
+ "learning_rate": 8.11117671057377e-06,
569
+ "loss": 0.7679,
570
+ "step": 800
571
+ },
572
+ {
573
+ "epoch": 0.3118983442433577,
574
+ "grad_norm": 0.18453684449195862,
575
+ "learning_rate": 8.062120346961404e-06,
576
+ "loss": 0.7664,
577
+ "step": 810
578
+ },
579
+ {
580
+ "epoch": 0.3157489410858683,
581
+ "grad_norm": 0.18260885775089264,
582
+ "learning_rate": 8.012587705880705e-06,
583
+ "loss": 0.7637,
584
+ "step": 820
585
+ },
586
+ {
587
+ "epoch": 0.3195995379283789,
588
+ "grad_norm": 0.18788263201713562,
589
+ "learning_rate": 7.962586491562146e-06,
590
+ "loss": 0.7492,
591
+ "step": 830
592
+ },
593
+ {
594
+ "epoch": 0.32345013477088946,
595
+ "grad_norm": 0.19703735411167145,
596
+ "learning_rate": 7.912124481117357e-06,
597
+ "loss": 0.7495,
598
+ "step": 840
599
+ },
600
+ {
601
+ "epoch": 0.32730073161340006,
602
+ "grad_norm": 0.1803080439567566,
603
+ "learning_rate": 7.861209523329494e-06,
604
+ "loss": 0.7595,
605
+ "step": 850
606
+ },
607
+ {
608
+ "epoch": 0.33115132845591067,
609
+ "grad_norm": 0.19268886744976044,
610
+ "learning_rate": 7.809849537432432e-06,
611
+ "loss": 0.751,
612
+ "step": 860
613
+ },
614
+ {
615
+ "epoch": 0.33500192529842127,
616
+ "grad_norm": 0.19183482229709625,
617
+ "learning_rate": 7.758052511879035e-06,
618
+ "loss": 0.7548,
619
+ "step": 870
620
+ },
621
+ {
622
+ "epoch": 0.33885252214093187,
623
+ "grad_norm": 0.1800510585308075,
624
+ "learning_rate": 7.705826503098642e-06,
625
+ "loss": 0.7579,
626
+ "step": 880
627
+ },
628
+ {
629
+ "epoch": 0.3427031189834424,
630
+ "grad_norm": 0.185862198472023,
631
+ "learning_rate": 7.653179634243979e-06,
632
+ "loss": 0.7519,
633
+ "step": 890
634
+ },
635
+ {
636
+ "epoch": 0.346553715825953,
637
+ "grad_norm": 0.17430837452411652,
638
+ "learning_rate": 7.600120093927696e-06,
639
+ "loss": 0.7532,
640
+ "step": 900
641
+ },
642
+ {
643
+ "epoch": 0.3504043126684636,
644
+ "grad_norm": 0.2105831652879715,
645
+ "learning_rate": 7.546656134948729e-06,
646
+ "loss": 0.7423,
647
+ "step": 910
648
+ },
649
+ {
650
+ "epoch": 0.3542549095109742,
651
+ "grad_norm": 0.1726113259792328,
652
+ "learning_rate": 7.492796073008661e-06,
653
+ "loss": 0.7514,
654
+ "step": 920
655
+ },
656
+ {
657
+ "epoch": 0.3581055063534848,
658
+ "grad_norm": 0.20430290699005127,
659
+ "learning_rate": 7.438548285418326e-06,
660
+ "loss": 0.7323,
661
+ "step": 930
662
+ },
663
+ {
664
+ "epoch": 0.36195610319599536,
665
+ "grad_norm": 0.20576231181621552,
666
+ "learning_rate": 7.3839212097948e-06,
667
+ "loss": 0.764,
668
+ "step": 940
669
+ },
670
+ {
671
+ "epoch": 0.36580670003850596,
672
+ "grad_norm": 0.19318842887878418,
673
+ "learning_rate": 7.328923342749039e-06,
674
+ "loss": 0.7797,
675
+ "step": 950
676
+ },
677
+ {
678
+ "epoch": 0.36965729688101656,
679
+ "grad_norm": 0.1794402003288269,
680
+ "learning_rate": 7.273563238564319e-06,
681
+ "loss": 0.7752,
682
+ "step": 960
683
+ },
684
+ {
685
+ "epoch": 0.37350789372352716,
686
+ "grad_norm": 0.19998949766159058,
687
+ "learning_rate": 7.217849507865724e-06,
688
+ "loss": 0.7446,
689
+ "step": 970
690
+ },
691
+ {
692
+ "epoch": 0.37735849056603776,
693
+ "grad_norm": 0.17357321083545685,
694
+ "learning_rate": 7.161790816280858e-06,
695
+ "loss": 0.754,
696
+ "step": 980
697
+ },
698
+ {
699
+ "epoch": 0.3812090874085483,
700
+ "grad_norm": 0.1865464746952057,
701
+ "learning_rate": 7.1053958830920125e-06,
702
+ "loss": 0.7404,
703
+ "step": 990
704
+ },
705
+ {
706
+ "epoch": 0.3850596842510589,
707
+ "grad_norm": 0.18941693007946014,
708
+ "learning_rate": 7.0486734798799715e-06,
709
+ "loss": 0.7527,
710
+ "step": 1000
711
+ },
712
+ {
713
+ "epoch": 0.3889102810935695,
714
+ "grad_norm": 0.17799365520477295,
715
+ "learning_rate": 6.991632429159708e-06,
716
+ "loss": 0.7715,
717
+ "step": 1010
718
+ },
719
+ {
720
+ "epoch": 0.3927608779360801,
721
+ "grad_norm": 0.19848152995109558,
722
+ "learning_rate": 6.934281603008132e-06,
723
+ "loss": 0.7712,
724
+ "step": 1020
725
+ },
726
+ {
727
+ "epoch": 0.39661147477859066,
728
+ "grad_norm": 0.16912391781806946,
729
+ "learning_rate": 6.876629921684143e-06,
730
+ "loss": 0.7671,
731
+ "step": 1030
732
+ },
733
+ {
734
+ "epoch": 0.40046207162110126,
735
+ "grad_norm": 0.1886753886938095,
736
+ "learning_rate": 6.818686352241199e-06,
737
+ "loss": 0.7554,
738
+ "step": 1040
739
+ },
740
+ {
741
+ "epoch": 0.40431266846361186,
742
+ "grad_norm": 0.1760212779045105,
743
+ "learning_rate": 6.760459907132573e-06,
744
+ "loss": 0.7506,
745
+ "step": 1050
746
+ },
747
+ {
748
+ "epoch": 0.40816326530612246,
749
+ "grad_norm": 0.1781136393547058,
750
+ "learning_rate": 6.701959642809589e-06,
751
+ "loss": 0.7558,
752
+ "step": 1060
753
+ },
754
+ {
755
+ "epoch": 0.41201386214863306,
756
+ "grad_norm": 0.18173792958259583,
757
+ "learning_rate": 6.643194658312987e-06,
758
+ "loss": 0.7474,
759
+ "step": 1070
760
+ },
761
+ {
762
+ "epoch": 0.4158644589911436,
763
+ "grad_norm": 0.16994084417819977,
764
+ "learning_rate": 6.584174093857676e-06,
765
+ "loss": 0.7726,
766
+ "step": 1080
767
+ },
768
+ {
769
+ "epoch": 0.4197150558336542,
770
+ "grad_norm": 0.20023730397224426,
771
+ "learning_rate": 6.5249071294110735e-06,
772
+ "loss": 0.7562,
773
+ "step": 1090
774
+ },
775
+ {
776
+ "epoch": 0.4235656526761648,
777
+ "grad_norm": 0.1892489194869995,
778
+ "learning_rate": 6.465402983265274e-06,
779
+ "loss": 0.7679,
780
+ "step": 1100
781
+ },
782
+ {
783
+ "epoch": 0.4274162495186754,
784
+ "grad_norm": 0.18558354675769806,
785
+ "learning_rate": 6.405670910603243e-06,
786
+ "loss": 0.7606,
787
+ "step": 1110
788
+ },
789
+ {
790
+ "epoch": 0.431266846361186,
791
+ "grad_norm": 0.1960008442401886,
792
+ "learning_rate": 6.345720202059291e-06,
793
+ "loss": 0.7572,
794
+ "step": 1120
795
+ },
796
+ {
797
+ "epoch": 0.43511744320369655,
798
+ "grad_norm": 0.20147228240966797,
799
+ "learning_rate": 6.285560182274008e-06,
800
+ "loss": 0.7383,
801
+ "step": 1130
802
+ },
803
+ {
804
+ "epoch": 0.43896804004620715,
805
+ "grad_norm": 0.19582295417785645,
806
+ "learning_rate": 6.225200208443936e-06,
807
+ "loss": 0.7625,
808
+ "step": 1140
809
+ },
810
+ {
811
+ "epoch": 0.44281863688871775,
812
+ "grad_norm": 0.18803337216377258,
813
+ "learning_rate": 6.16464966886616e-06,
814
+ "loss": 0.7471,
815
+ "step": 1150
816
+ },
817
+ {
818
+ "epoch": 0.44666923373122835,
819
+ "grad_norm": 0.2087479680776596,
820
+ "learning_rate": 6.103917981478065e-06,
821
+ "loss": 0.7774,
822
+ "step": 1160
823
+ },
824
+ {
825
+ "epoch": 0.45051983057373896,
826
+ "grad_norm": 0.18385891616344452,
827
+ "learning_rate": 6.043014592392489e-06,
828
+ "loss": 0.7832,
829
+ "step": 1170
830
+ },
831
+ {
832
+ "epoch": 0.4543704274162495,
833
+ "grad_norm": 0.1811874806880951,
834
+ "learning_rate": 5.981948974428485e-06,
835
+ "loss": 0.7633,
836
+ "step": 1180
837
+ },
838
+ {
839
+ "epoch": 0.4582210242587601,
840
+ "grad_norm": 0.176566943526268,
841
+ "learning_rate": 5.920730625637934e-06,
842
+ "loss": 0.7398,
843
+ "step": 1190
844
+ },
845
+ {
846
+ "epoch": 0.4620716211012707,
847
+ "grad_norm": 0.18928752839565277,
848
+ "learning_rate": 5.8593690678282355e-06,
849
+ "loss": 0.748,
850
+ "step": 1200
851
+ },
852
+ {
853
+ "epoch": 0.4659222179437813,
854
+ "grad_norm": 0.19067159295082092,
855
+ "learning_rate": 5.797873845081301e-06,
856
+ "loss": 0.747,
857
+ "step": 1210
858
+ },
859
+ {
860
+ "epoch": 0.46977281478629185,
861
+ "grad_norm": 0.1941257119178772,
862
+ "learning_rate": 5.736254522269075e-06,
863
+ "loss": 0.7724,
864
+ "step": 1220
865
+ },
866
+ {
867
+ "epoch": 0.47362341162880245,
868
+ "grad_norm": 0.1804884672164917,
869
+ "learning_rate": 5.6745206835658386e-06,
870
+ "loss": 0.768,
871
+ "step": 1230
872
+ },
873
+ {
874
+ "epoch": 0.47747400847131305,
875
+ "grad_norm": 0.1723550260066986,
876
+ "learning_rate": 5.612681930957495e-06,
877
+ "loss": 0.747,
878
+ "step": 1240
879
+ },
880
+ {
881
+ "epoch": 0.48132460531382365,
882
+ "grad_norm": 0.17932477593421936,
883
+ "learning_rate": 5.550747882748095e-06,
884
+ "loss": 0.7396,
885
+ "step": 1250
886
+ },
887
+ {
888
+ "epoch": 0.48517520215633425,
889
+ "grad_norm": 0.19819322228431702,
890
+ "learning_rate": 5.4887281720638195e-06,
891
+ "loss": 0.7531,
892
+ "step": 1260
893
+ },
894
+ {
895
+ "epoch": 0.4890257989988448,
896
+ "grad_norm": 0.19972290098667145,
897
+ "learning_rate": 5.42663244535466e-06,
898
+ "loss": 0.7292,
899
+ "step": 1270
900
+ },
901
+ {
902
+ "epoch": 0.4928763958413554,
903
+ "grad_norm": 0.18704994022846222,
904
+ "learning_rate": 5.3644703608940205e-06,
905
+ "loss": 0.7467,
906
+ "step": 1280
907
+ },
908
+ {
909
+ "epoch": 0.496726992683866,
910
+ "grad_norm": 0.18587154150009155,
911
+ "learning_rate": 5.302251587276491e-06,
912
+ "loss": 0.7592,
913
+ "step": 1290
914
+ },
915
+ {
916
+ "epoch": 0.5005775895263765,
917
+ "grad_norm": 0.18996387720108032,
918
+ "learning_rate": 5.2399858019140005e-06,
919
+ "loss": 0.749,
920
+ "step": 1300
921
+ },
922
+ {
923
+ "epoch": 0.5044281863688872,
924
+ "grad_norm": 0.18588174879550934,
925
+ "learning_rate": 5.177682689530615e-06,
926
+ "loss": 0.7674,
927
+ "step": 1310
928
+ },
929
+ {
930
+ "epoch": 0.5082787832113977,
931
+ "grad_norm": 0.20801319181919098,
932
+ "learning_rate": 5.11535194065619e-06,
933
+ "loss": 0.738,
934
+ "step": 1320
935
+ },
936
+ {
937
+ "epoch": 0.5121293800539084,
938
+ "grad_norm": 0.19332502782344818,
939
+ "learning_rate": 5.053003250119113e-06,
940
+ "loss": 0.747,
941
+ "step": 1330
942
+ },
943
+ {
944
+ "epoch": 0.515979976896419,
945
+ "grad_norm": 0.1939854472875595,
946
+ "learning_rate": 4.9906463155383925e-06,
947
+ "loss": 0.7528,
948
+ "step": 1340
949
+ },
950
+ {
951
+ "epoch": 0.5198305737389295,
952
+ "grad_norm": 0.17906975746154785,
953
+ "learning_rate": 4.9282908358153046e-06,
954
+ "loss": 0.751,
955
+ "step": 1350
956
+ },
957
+ {
958
+ "epoch": 0.5236811705814401,
959
+ "grad_norm": 0.19666828215122223,
960
+ "learning_rate": 4.8659465096248345e-06,
961
+ "loss": 0.7658,
962
+ "step": 1360
963
+ },
964
+ {
965
+ "epoch": 0.5275317674239507,
966
+ "grad_norm": 0.19176791608333588,
967
+ "learning_rate": 4.803623033907169e-06,
968
+ "loss": 0.7578,
969
+ "step": 1370
970
+ },
971
+ {
972
+ "epoch": 0.5313823642664613,
973
+ "grad_norm": 0.17520959675312042,
974
+ "learning_rate": 4.741330102359441e-06,
975
+ "loss": 0.7715,
976
+ "step": 1380
977
+ },
978
+ {
979
+ "epoch": 0.5352329611089719,
980
+ "grad_norm": 0.19216406345367432,
981
+ "learning_rate": 4.679077403927996e-06,
982
+ "loss": 0.7466,
983
+ "step": 1390
984
+ },
985
+ {
986
+ "epoch": 0.5390835579514824,
987
+ "grad_norm": 0.1860879510641098,
988
+ "learning_rate": 4.616874621301373e-06,
989
+ "loss": 0.7479,
990
+ "step": 1400
991
+ },
992
+ {
993
+ "epoch": 0.5429341547939931,
994
+ "grad_norm": 0.19924187660217285,
995
+ "learning_rate": 4.554731429404293e-06,
996
+ "loss": 0.7672,
997
+ "step": 1410
998
+ },
999
+ {
1000
+ "epoch": 0.5467847516365036,
1001
+ "grad_norm": 0.20584066212177277,
1002
+ "learning_rate": 4.492657493892822e-06,
1003
+ "loss": 0.7488,
1004
+ "step": 1420
1005
+ },
1006
+ {
1007
+ "epoch": 0.5506353484790143,
1008
+ "grad_norm": 0.19195492565631866,
1009
+ "learning_rate": 4.430662469650999e-06,
1010
+ "loss": 0.7628,
1011
+ "step": 1430
1012
+ },
1013
+ {
1014
+ "epoch": 0.5544859453215248,
1015
+ "grad_norm": 0.1959046870470047,
1016
+ "learning_rate": 4.368755999289118e-06,
1017
+ "loss": 0.7629,
1018
+ "step": 1440
1019
+ },
1020
+ {
1021
+ "epoch": 0.5583365421640354,
1022
+ "grad_norm": 0.19324089586734772,
1023
+ "learning_rate": 4.306947711643949e-06,
1024
+ "loss": 0.7468,
1025
+ "step": 1450
1026
+ },
1027
+ {
1028
+ "epoch": 0.562187139006546,
1029
+ "grad_norm": 0.18477880954742432,
1030
+ "learning_rate": 4.245247220281068e-06,
1031
+ "loss": 0.752,
1032
+ "step": 1460
1033
+ },
1034
+ {
1035
+ "epoch": 0.5660377358490566,
1036
+ "grad_norm": 0.18052339553833008,
1037
+ "learning_rate": 4.183664121999587e-06,
1038
+ "loss": 0.749,
1039
+ "step": 1470
1040
+ },
1041
+ {
1042
+ "epoch": 0.5698883326915672,
1043
+ "grad_norm": 0.18406559526920319,
1044
+ "learning_rate": 4.122207995339474e-06,
1045
+ "loss": 0.7422,
1046
+ "step": 1480
1047
+ },
1048
+ {
1049
+ "epoch": 0.5737389295340778,
1050
+ "grad_norm": 0.18416725099086761,
1051
+ "learning_rate": 4.060888399091734e-06,
1052
+ "loss": 0.7505,
1053
+ "step": 1490
1054
+ },
1055
+ {
1056
+ "epoch": 0.5775895263765883,
1057
+ "grad_norm": 0.1864284873008728,
1058
+ "learning_rate": 3.999714870811639e-06,
1059
+ "loss": 0.7635,
1060
+ "step": 1500
1061
+ },
1062
+ {
1063
+ "epoch": 0.581440123219099,
1064
+ "grad_norm": 0.18450364470481873,
1065
+ "learning_rate": 3.938696925335275e-06,
1066
+ "loss": 0.7552,
1067
+ "step": 1510
1068
+ },
1069
+ {
1070
+ "epoch": 0.5852907200616095,
1071
+ "grad_norm": 0.19174382090568542,
1072
+ "learning_rate": 3.87784405329962e-06,
1073
+ "loss": 0.7634,
1074
+ "step": 1520
1075
+ },
1076
+ {
1077
+ "epoch": 0.5891413169041202,
1078
+ "grad_norm": 0.18043896555900574,
1079
+ "learning_rate": 3.817165719666382e-06,
1080
+ "loss": 0.7625,
1081
+ "step": 1530
1082
+ },
1083
+ {
1084
+ "epoch": 0.5929919137466307,
1085
+ "grad_norm": 0.18165697157382965,
1086
+ "learning_rate": 3.756671362249841e-06,
1087
+ "loss": 0.7656,
1088
+ "step": 1540
1089
+ },
1090
+ {
1091
+ "epoch": 0.5968425105891413,
1092
+ "grad_norm": 0.1777704656124115,
1093
+ "learning_rate": 3.6963703902488907e-06,
1094
+ "loss": 0.7533,
1095
+ "step": 1550
1096
+ },
1097
+ {
1098
+ "epoch": 0.6006931074316519,
1099
+ "grad_norm": 0.17601270973682404,
1100
+ "learning_rate": 3.6362721827835655e-06,
1101
+ "loss": 0.7644,
1102
+ "step": 1560
1103
+ },
1104
+ {
1105
+ "epoch": 0.6045437042741625,
1106
+ "grad_norm": 0.192590594291687,
1107
+ "learning_rate": 3.576386087436212e-06,
1108
+ "loss": 0.7688,
1109
+ "step": 1570
1110
+ },
1111
+ {
1112
+ "epoch": 0.608394301116673,
1113
+ "grad_norm": 0.20214581489562988,
1114
+ "learning_rate": 3.5167214187975913e-06,
1115
+ "loss": 0.7618,
1116
+ "step": 1580
1117
+ },
1118
+ {
1119
+ "epoch": 0.6122448979591837,
1120
+ "grad_norm": 0.17007282376289368,
1121
+ "learning_rate": 3.457287457018086e-06,
1122
+ "loss": 0.758,
1123
+ "step": 1590
1124
+ },
1125
+ {
1126
+ "epoch": 0.6160954948016942,
1127
+ "grad_norm": 0.18449732661247253,
1128
+ "learning_rate": 3.3980934463643003e-06,
1129
+ "loss": 0.753,
1130
+ "step": 1600
1131
+ },
1132
+ {
1133
+ "epoch": 0.6199460916442049,
1134
+ "grad_norm": 0.16693714261054993,
1135
+ "learning_rate": 3.3391485937812053e-06,
1136
+ "loss": 0.7311,
1137
+ "step": 1610
1138
+ },
1139
+ {
1140
+ "epoch": 0.6237966884867154,
1141
+ "grad_norm": 0.18661107122898102,
1142
+ "learning_rate": 3.280462067460115e-06,
1143
+ "loss": 0.7316,
1144
+ "step": 1620
1145
+ },
1146
+ {
1147
+ "epoch": 0.627647285329226,
1148
+ "grad_norm": 0.1824241429567337,
1149
+ "learning_rate": 3.222042995412669e-06,
1150
+ "loss": 0.7576,
1151
+ "step": 1630
1152
+ },
1153
+ {
1154
+ "epoch": 0.6314978821717366,
1155
+ "grad_norm": 0.16803359985351562,
1156
+ "learning_rate": 3.163900464051089e-06,
1157
+ "loss": 0.7495,
1158
+ "step": 1640
1159
+ },
1160
+ {
1161
+ "epoch": 0.6353484790142472,
1162
+ "grad_norm": 0.19083498418331146,
1163
+ "learning_rate": 3.1060435167748826e-06,
1164
+ "loss": 0.7643,
1165
+ "step": 1650
1166
+ },
1167
+ {
1168
+ "epoch": 0.6391990758567578,
1169
+ "grad_norm": 0.18704336881637573,
1170
+ "learning_rate": 3.048481152564253e-06,
1171
+ "loss": 0.7406,
1172
+ "step": 1660
1173
+ },
1174
+ {
1175
+ "epoch": 0.6430496726992684,
1176
+ "grad_norm": 0.1935492306947708,
1177
+ "learning_rate": 2.9912223245804017e-06,
1178
+ "loss": 0.7579,
1179
+ "step": 1670
1180
+ },
1181
+ {
1182
+ "epoch": 0.6469002695417789,
1183
+ "grad_norm": 0.18974845111370087,
1184
+ "learning_rate": 2.934275938772981e-06,
1185
+ "loss": 0.7513,
1186
+ "step": 1680
1187
+ },
1188
+ {
1189
+ "epoch": 0.6507508663842896,
1190
+ "grad_norm": 0.19919830560684204,
1191
+ "learning_rate": 2.8776508524948676e-06,
1192
+ "loss": 0.7459,
1193
+ "step": 1690
1194
+ },
1195
+ {
1196
+ "epoch": 0.6546014632268001,
1197
+ "grad_norm": 0.17299962043762207,
1198
+ "learning_rate": 2.821355873124503e-06,
1199
+ "loss": 0.7486,
1200
+ "step": 1700
1201
+ },
1202
+ {
1203
+ "epoch": 0.6584520600693108,
1204
+ "grad_norm": 0.19705136120319366,
1205
+ "learning_rate": 2.7653997566960144e-06,
1206
+ "loss": 0.7531,
1207
+ "step": 1710
1208
+ },
1209
+ {
1210
+ "epoch": 0.6623026569118213,
1211
+ "grad_norm": 0.19517959654331207,
1212
+ "learning_rate": 2.709791206537309e-06,
1213
+ "loss": 0.7456,
1214
+ "step": 1720
1215
+ },
1216
+ {
1217
+ "epoch": 0.6661532537543319,
1218
+ "grad_norm": 0.1973930299282074,
1219
+ "learning_rate": 2.6545388719163747e-06,
1220
+ "loss": 0.752,
1221
+ "step": 1730
1222
+ },
1223
+ {
1224
+ "epoch": 0.6700038505968425,
1225
+ "grad_norm": 0.18798504769802094,
1226
+ "learning_rate": 2.599651346695979e-06,
1227
+ "loss": 0.7603,
1228
+ "step": 1740
1229
+ },
1230
+ {
1231
+ "epoch": 0.6738544474393531,
1232
+ "grad_norm": 0.1749255210161209,
1233
+ "learning_rate": 2.545137167997007e-06,
1234
+ "loss": 0.7534,
1235
+ "step": 1750
1236
+ },
1237
+ {
1238
+ "epoch": 0.6777050442818637,
1239
+ "grad_norm": 0.18403726816177368,
1240
+ "learning_rate": 2.4910048148705972e-06,
1241
+ "loss": 0.7471,
1242
+ "step": 1760
1243
+ },
1244
+ {
1245
+ "epoch": 0.6815556411243743,
1246
+ "grad_norm": 0.19778071343898773,
1247
+ "learning_rate": 2.4372627069793327e-06,
1248
+ "loss": 0.7828,
1249
+ "step": 1770
1250
+ },
1251
+ {
1252
+ "epoch": 0.6854062379668848,
1253
+ "grad_norm": 0.1836496889591217,
1254
+ "learning_rate": 2.3839192032876486e-06,
1255
+ "loss": 0.7586,
1256
+ "step": 1780
1257
+ },
1258
+ {
1259
+ "epoch": 0.6892568348093955,
1260
+ "grad_norm": 0.18893113732337952,
1261
+ "learning_rate": 2.3309826007617047e-06,
1262
+ "loss": 0.7741,
1263
+ "step": 1790
1264
+ },
1265
+ {
1266
+ "epoch": 0.693107431651906,
1267
+ "grad_norm": 0.17619682848453522,
1268
+ "learning_rate": 2.278461133078881e-06,
1269
+ "loss": 0.7434,
1270
+ "step": 1800
1271
+ },
1272
+ {
1273
+ "epoch": 0.6969580284944167,
1274
+ "grad_norm": 0.19304104149341583,
1275
+ "learning_rate": 2.2263629693471258e-06,
1276
+ "loss": 0.737,
1277
+ "step": 1810
1278
+ },
1279
+ {
1280
+ "epoch": 0.7008086253369272,
1281
+ "grad_norm": 0.18281012773513794,
1282
+ "learning_rate": 2.1746962128343414e-06,
1283
+ "loss": 0.7594,
1284
+ "step": 1820
1285
+ },
1286
+ {
1287
+ "epoch": 0.7046592221794378,
1288
+ "grad_norm": 0.188145712018013,
1289
+ "learning_rate": 2.1234688997080183e-06,
1290
+ "loss": 0.743,
1291
+ "step": 1830
1292
+ },
1293
+ {
1294
+ "epoch": 0.7085098190219484,
1295
+ "grad_norm": 0.18760056793689728,
1296
+ "learning_rate": 2.0726889977853053e-06,
1297
+ "loss": 0.7482,
1298
+ "step": 1840
1299
+ },
1300
+ {
1301
+ "epoch": 0.712360415864459,
1302
+ "grad_norm": 0.19218339025974274,
1303
+ "learning_rate": 2.022364405293703e-06,
1304
+ "loss": 0.7627,
1305
+ "step": 1850
1306
+ },
1307
+ {
1308
+ "epoch": 0.7162110127069696,
1309
+ "grad_norm": 0.1761385202407837,
1310
+ "learning_rate": 1.9725029496425814e-06,
1311
+ "loss": 0.761,
1312
+ "step": 1860
1313
+ },
1314
+ {
1315
+ "epoch": 0.7200616095494802,
1316
+ "grad_norm": 0.18349558115005493,
1317
+ "learning_rate": 1.923112386205727e-06,
1318
+ "loss": 0.7506,
1319
+ "step": 1870
1320
+ },
1321
+ {
1322
+ "epoch": 0.7239122063919907,
1323
+ "grad_norm": 0.1792827844619751,
1324
+ "learning_rate": 1.874200397115079e-06,
1325
+ "loss": 0.7624,
1326
+ "step": 1880
1327
+ },
1328
+ {
1329
+ "epoch": 0.7277628032345014,
1330
+ "grad_norm": 0.1884361356496811,
1331
+ "learning_rate": 1.825774590065857e-06,
1332
+ "loss": 0.7482,
1333
+ "step": 1890
1334
+ },
1335
+ {
1336
+ "epoch": 0.7316134000770119,
1337
+ "grad_norm": 0.20151539146900177,
1338
+ "learning_rate": 1.7778424971332813e-06,
1339
+ "loss": 0.7594,
1340
+ "step": 1900
1341
+ },
1342
+ {
1343
+ "epoch": 0.7354639969195226,
1344
+ "grad_norm": 0.17288555204868317,
1345
+ "learning_rate": 1.7304115736010407e-06,
1346
+ "loss": 0.7557,
1347
+ "step": 1910
1348
+ },
1349
+ {
1350
+ "epoch": 0.7393145937620331,
1351
+ "grad_norm": 0.18524526059627533,
1352
+ "learning_rate": 1.6834891968017108e-06,
1353
+ "loss": 0.7459,
1354
+ "step": 1920
1355
+ },
1356
+ {
1357
+ "epoch": 0.7431651906045437,
1358
+ "grad_norm": 0.19306187331676483,
1359
+ "learning_rate": 1.6370826649692884e-06,
1360
+ "loss": 0.7642,
1361
+ "step": 1930
1362
+ },
1363
+ {
1364
+ "epoch": 0.7470157874470543,
1365
+ "grad_norm": 0.18120728433132172,
1366
+ "learning_rate": 1.5911991961040463e-06,
1367
+ "loss": 0.7618,
1368
+ "step": 1940
1369
+ },
1370
+ {
1371
+ "epoch": 0.7508663842895649,
1372
+ "grad_norm": 0.18166451156139374,
1373
+ "learning_rate": 1.545845926849851e-06,
1374
+ "loss": 0.7448,
1375
+ "step": 1950
1376
+ },
1377
+ {
1378
+ "epoch": 0.7547169811320755,
1379
+ "grad_norm": 0.19548921287059784,
1380
+ "learning_rate": 1.5010299113841397e-06,
1381
+ "loss": 0.7703,
1382
+ "step": 1960
1383
+ },
1384
+ {
1385
+ "epoch": 0.7585675779745861,
1386
+ "grad_norm": 0.19574137032032013,
1387
+ "learning_rate": 1.4567581203207238e-06,
1388
+ "loss": 0.7613,
1389
+ "step": 1970
1390
+ },
1391
+ {
1392
+ "epoch": 0.7624181748170966,
1393
+ "grad_norm": 0.20201927423477173,
1394
+ "learning_rate": 1.413037439625593e-06,
1395
+ "loss": 0.7598,
1396
+ "step": 1980
1397
+ },
1398
+ {
1399
+ "epoch": 0.7662687716596073,
1400
+ "grad_norm": 0.19898688793182373,
1401
+ "learning_rate": 1.3698746695458847e-06,
1402
+ "loss": 0.7478,
1403
+ "step": 1990
1404
+ },
1405
+ {
1406
+ "epoch": 0.7701193685021178,
1407
+ "grad_norm": 0.17992781102657318,
1408
+ "learning_rate": 1.3272765235521745e-06,
1409
+ "loss": 0.7505,
1410
+ "step": 2000
1411
+ },
1412
+ {
1413
+ "epoch": 0.7739699653446284,
1414
+ "grad_norm": 0.18187129497528076,
1415
+ "learning_rate": 1.2852496272942877e-06,
1416
+ "loss": 0.7574,
1417
+ "step": 2010
1418
+ },
1419
+ {
1420
+ "epoch": 0.777820562187139,
1421
+ "grad_norm": 0.18098337948322296,
1422
+ "learning_rate": 1.2438005175707396e-06,
1423
+ "loss": 0.7392,
1424
+ "step": 2020
1425
+ },
1426
+ {
1427
+ "epoch": 0.7816711590296496,
1428
+ "grad_norm": 0.18007029592990875,
1429
+ "learning_rate": 1.2029356413120297e-06,
1430
+ "loss": 0.7319,
1431
+ "step": 2030
1432
+ },
1433
+ {
1434
+ "epoch": 0.7855217558721602,
1435
+ "grad_norm": 0.1882052719593048,
1436
+ "learning_rate": 1.1626613545778786e-06,
1437
+ "loss": 0.7483,
1438
+ "step": 2040
1439
+ },
1440
+ {
1441
+ "epoch": 0.7893723527146708,
1442
+ "grad_norm": 0.18210925161838531,
1443
+ "learning_rate": 1.1229839215686294e-06,
1444
+ "loss": 0.751,
1445
+ "step": 2050
1446
+ },
1447
+ {
1448
+ "epoch": 0.7932229495571813,
1449
+ "grad_norm": 0.16682910919189453,
1450
+ "learning_rate": 1.0839095136509188e-06,
1451
+ "loss": 0.7361,
1452
+ "step": 2060
1453
+ },
1454
+ {
1455
+ "epoch": 0.797073546399692,
1456
+ "grad_norm": 0.19328643381595612,
1457
+ "learning_rate": 1.045444208397791e-06,
1458
+ "loss": 0.7529,
1459
+ "step": 2070
1460
+ },
1461
+ {
1462
+ "epoch": 0.8009241432422025,
1463
+ "grad_norm": 0.17302291095256805,
1464
+ "learning_rate": 1.007593988643402e-06,
1465
+ "loss": 0.73,
1466
+ "step": 2080
1467
+ },
1468
+ {
1469
+ "epoch": 0.8047747400847132,
1470
+ "grad_norm": 0.1802995204925537,
1471
+ "learning_rate": 9.703647415524613e-07,
1472
+ "loss": 0.7565,
1473
+ "step": 2090
1474
+ },
1475
+ {
1476
+ "epoch": 0.8086253369272237,
1477
+ "grad_norm": 0.19100819528102875,
1478
+ "learning_rate": 9.337622577045485e-07,
1479
+ "loss": 0.7491,
1480
+ "step": 2100
1481
+ },
1482
+ {
1483
+ "epoch": 0.8124759337697343,
1484
+ "grad_norm": 0.18217673897743225,
1485
+ "learning_rate": 8.977922301934588e-07,
1486
+ "loss": 0.7518,
1487
+ "step": 2110
1488
+ },
1489
+ {
1490
+ "epoch": 0.8163265306122449,
1491
+ "grad_norm": 0.1965804547071457,
1492
+ "learning_rate": 8.624602537417009e-07,
1493
+ "loss": 0.7665,
1494
+ "step": 2120
1495
+ },
1496
+ {
1497
+ "epoch": 0.8201771274547555,
1498
+ "grad_norm": 0.18795649707317352,
1499
+ "learning_rate": 8.277718238303123e-07,
1500
+ "loss": 0.7471,
1501
+ "step": 2130
1502
+ },
1503
+ {
1504
+ "epoch": 0.8240277242972661,
1505
+ "grad_norm": 0.18098022043704987,
1506
+ "learning_rate": 7.937323358440935e-07,
1507
+ "loss": 0.7497,
1508
+ "step": 2140
1509
+ },
1510
+ {
1511
+ "epoch": 0.8278783211397767,
1512
+ "grad_norm": 0.17944489419460297,
1513
+ "learning_rate": 7.603470842324223e-07,
1514
+ "loss": 0.7377,
1515
+ "step": 2150
1516
+ },
1517
+ {
1518
+ "epoch": 0.8317289179822872,
1519
+ "grad_norm": 0.17640596628189087,
1520
+ "learning_rate": 7.276212616857575e-07,
1521
+ "loss": 0.7598,
1522
+ "step": 2160
1523
+ },
1524
+ {
1525
+ "epoch": 0.8355795148247979,
1526
+ "grad_norm": 0.18239271640777588,
1527
+ "learning_rate": 6.955599583279837e-07,
1528
+ "loss": 0.7534,
1529
+ "step": 2170
1530
+ },
1531
+ {
1532
+ "epoch": 0.8394301116673084,
1533
+ "grad_norm": 0.17852254211902618,
1534
+ "learning_rate": 6.641681609246981e-07,
1535
+ "loss": 0.749,
1536
+ "step": 2180
1537
+ },
1538
+ {
1539
+ "epoch": 0.8432807085098191,
1540
+ "grad_norm": 0.18857477605342865,
1541
+ "learning_rate": 6.334507521075711e-07,
1542
+ "loss": 0.749,
1543
+ "step": 2190
1544
+ },
1545
+ {
1546
+ "epoch": 0.8471313053523296,
1547
+ "grad_norm": 0.1909913867712021,
1548
+ "learning_rate": 6.034125096149179e-07,
1549
+ "loss": 0.752,
1550
+ "step": 2200
1551
+ },
1552
+ {
1553
+ "epoch": 0.8509819021948402,
1554
+ "grad_norm": 0.17751678824424744,
1555
+ "learning_rate": 5.740581055485722e-07,
1556
+ "loss": 0.7236,
1557
+ "step": 2210
1558
+ },
1559
+ {
1560
+ "epoch": 0.8548324990373508,
1561
+ "grad_norm": 0.17221172153949738,
1562
+ "learning_rate": 5.453921056471961e-07,
1563
+ "loss": 0.7567,
1564
+ "step": 2220
1565
+ },
1566
+ {
1567
+ "epoch": 0.8586830958798614,
1568
+ "grad_norm": 0.19478552043437958,
1569
+ "learning_rate": 5.174189685761288e-07,
1570
+ "loss": 0.7494,
1571
+ "step": 2230
1572
+ },
1573
+ {
1574
+ "epoch": 0.862533692722372,
1575
+ "grad_norm": 0.17980894446372986,
1576
+ "learning_rate": 4.901430452338979e-07,
1577
+ "loss": 0.7602,
1578
+ "step": 2240
1579
+ },
1580
+ {
1581
+ "epoch": 0.8663842895648826,
1582
+ "grad_norm": 0.18006440997123718,
1583
+ "learning_rate": 4.6356857807548286e-07,
1584
+ "loss": 0.7483,
1585
+ "step": 2250
1586
+ },
1587
+ {
1588
+ "epoch": 0.8702348864073931,
1589
+ "grad_norm": 0.20627303421497345,
1590
+ "learning_rate": 4.376997004524541e-07,
1591
+ "loss": 0.7314,
1592
+ "step": 2260
1593
+ },
1594
+ {
1595
+ "epoch": 0.8740854832499038,
1596
+ "grad_norm": 0.17854416370391846,
1597
+ "learning_rate": 4.12540435970073e-07,
1598
+ "loss": 0.7493,
1599
+ "step": 2270
1600
+ },
1601
+ {
1602
+ "epoch": 0.8779360800924143,
1603
+ "grad_norm": 0.1774718016386032,
1604
+ "learning_rate": 3.880946978614703e-07,
1605
+ "loss": 0.7552,
1606
+ "step": 2280
1607
+ },
1608
+ {
1609
+ "epoch": 0.881786676934925,
1610
+ "grad_norm": 0.1814238578081131,
1611
+ "learning_rate": 3.643662883789878e-07,
1612
+ "loss": 0.7588,
1613
+ "step": 2290
1614
+ },
1615
+ {
1616
+ "epoch": 0.8856372737774355,
1617
+ "grad_norm": 0.1750503033399582,
1618
+ "learning_rate": 3.41358898202781e-07,
1619
+ "loss": 0.7406,
1620
+ "step": 2300
1621
+ },
1622
+ {
1623
+ "epoch": 0.889487870619946,
1624
+ "grad_norm": 0.17340315878391266,
1625
+ "learning_rate": 3.190761058667741e-07,
1626
+ "loss": 0.7508,
1627
+ "step": 2310
1628
+ },
1629
+ {
1630
+ "epoch": 0.8933384674624567,
1631
+ "grad_norm": 0.1728571206331253,
1632
+ "learning_rate": 2.9752137720206463e-07,
1633
+ "loss": 0.7529,
1634
+ "step": 2320
1635
+ },
1636
+ {
1637
+ "epoch": 0.8971890643049673,
1638
+ "grad_norm": 0.18585100769996643,
1639
+ "learning_rate": 2.7669806479785067e-07,
1640
+ "loss": 0.7633,
1641
+ "step": 2330
1642
+ },
1643
+ {
1644
+ "epoch": 0.9010396611474779,
1645
+ "grad_norm": 0.1766921877861023,
1646
+ "learning_rate": 2.566094074799763e-07,
1647
+ "loss": 0.7538,
1648
+ "step": 2340
1649
+ },
1650
+ {
1651
+ "epoch": 0.9048902579899885,
1652
+ "grad_norm": 0.18660154938697815,
1653
+ "learning_rate": 2.3725852980716557e-07,
1654
+ "loss": 0.7348,
1655
+ "step": 2350
1656
+ },
1657
+ {
1658
+ "epoch": 0.908740854832499,
1659
+ "grad_norm": 0.17113812267780304,
1660
+ "learning_rate": 2.1864844158503983e-07,
1661
+ "loss": 0.7504,
1662
+ "step": 2360
1663
+ },
1664
+ {
1665
+ "epoch": 0.9125914516750097,
1666
+ "grad_norm": 0.2016417384147644,
1667
+ "learning_rate": 2.007820373979702e-07,
1668
+ "loss": 0.7447,
1669
+ "step": 2370
1670
+ },
1671
+ {
1672
+ "epoch": 0.9164420485175202,
1673
+ "grad_norm": 0.1814277321100235,
1674
+ "learning_rate": 1.8366209615886532e-07,
1675
+ "loss": 0.7535,
1676
+ "step": 2380
1677
+ },
1678
+ {
1679
+ "epoch": 0.9202926453600309,
1680
+ "grad_norm": 0.17668315768241882,
1681
+ "learning_rate": 1.6729128067693613e-07,
1682
+ "loss": 0.7664,
1683
+ "step": 2390
1684
+ },
1685
+ {
1686
+ "epoch": 0.9241432422025414,
1687
+ "grad_norm": 0.19883039593696594,
1688
+ "learning_rate": 1.5167213724353426e-07,
1689
+ "loss": 0.7604,
1690
+ "step": 2400
1691
+ },
1692
+ {
1693
+ "epoch": 0.927993839045052,
1694
+ "grad_norm": 0.17813172936439514,
1695
+ "learning_rate": 1.3680709523610058e-07,
1696
+ "loss": 0.7387,
1697
+ "step": 2410
1698
+ },
1699
+ {
1700
+ "epoch": 0.9318444358875626,
1701
+ "grad_norm": 0.17420779168605804,
1702
+ "learning_rate": 1.2269846674030418e-07,
1703
+ "loss": 0.769,
1704
+ "step": 2420
1705
+ },
1706
+ {
1707
+ "epoch": 0.9356950327300732,
1708
+ "grad_norm": 0.17640961706638336,
1709
+ "learning_rate": 1.0934844619042595e-07,
1710
+ "loss": 0.7605,
1711
+ "step": 2430
1712
+ },
1713
+ {
1714
+ "epoch": 0.9395456295725837,
1715
+ "grad_norm": 0.1814141720533371,
1716
+ "learning_rate": 9.675911002803961e-08,
1717
+ "loss": 0.7519,
1718
+ "step": 2440
1719
+ },
1720
+ {
1721
+ "epoch": 0.9433962264150944,
1722
+ "grad_norm": 0.19198033213615417,
1723
+ "learning_rate": 8.493241637904381e-08,
1724
+ "loss": 0.739,
1725
+ "step": 2450
1726
+ },
1727
+ {
1728
+ "epoch": 0.9472468232576049,
1729
+ "grad_norm": 0.19710645079612732,
1730
+ "learning_rate": 7.387020474909689e-08,
1731
+ "loss": 0.7661,
1732
+ "step": 2460
1733
+ },
1734
+ {
1735
+ "epoch": 0.9510974201001156,
1736
+ "grad_norm": 0.18783946335315704,
1737
+ "learning_rate": 6.357419573750856e-08,
1738
+ "loss": 0.7608,
1739
+ "step": 2470
1740
+ },
1741
+ {
1742
+ "epoch": 0.9549480169426261,
1743
+ "grad_norm": 0.1804378777742386,
1744
+ "learning_rate": 5.4045990769613365e-08,
1745
+ "loss": 0.7474,
1746
+ "step": 2480
1747
+ },
1748
+ {
1749
+ "epoch": 0.9587986137851366,
1750
+ "grad_norm": 0.18054747581481934,
1751
+ "learning_rate": 4.5287071847694434e-08,
1752
+ "loss": 0.7493,
1753
+ "step": 2490
1754
+ },
1755
+ {
1756
+ "epoch": 0.9626492106276473,
1757
+ "grad_norm": 0.17885228991508484,
1758
+ "learning_rate": 3.7298801320467817e-08,
1759
+ "loss": 0.751,
1760
+ "step": 2500
1761
+ },
1762
+ {
1763
+ "epoch": 0.9664998074701578,
1764
+ "grad_norm": 0.17810337245464325,
1765
+ "learning_rate": 3.0082421671192576e-08,
1766
+ "loss": 0.7498,
1767
+ "step": 2510
1768
+ },
1769
+ {
1770
+ "epoch": 0.9703504043126685,
1771
+ "grad_norm": 0.18479911983013153,
1772
+ "learning_rate": 2.3639055324410355e-08,
1773
+ "loss": 0.7635,
1774
+ "step": 2520
1775
+ },
1776
+ {
1777
+ "epoch": 0.974201001155179,
1778
+ "grad_norm": 0.18725886940956116,
1779
+ "learning_rate": 1.7969704471369477e-08,
1780
+ "loss": 0.7442,
1781
+ "step": 2530
1782
+ },
1783
+ {
1784
+ "epoch": 0.9780515979976896,
1785
+ "grad_norm": 0.17360681295394897,
1786
+ "learning_rate": 1.3075250914142413e-08,
1787
+ "loss": 0.7437,
1788
+ "step": 2540
1789
+ },
1790
+ {
1791
+ "epoch": 0.9819021948402002,
1792
+ "grad_norm": 0.1748112440109253,
1793
+ "learning_rate": 8.956455928476049e-09,
1794
+ "loss": 0.7596,
1795
+ "step": 2550
1796
+ },
1797
+ {
1798
+ "epoch": 0.9857527916827108,
1799
+ "grad_norm": 0.1696716845035553,
1800
+ "learning_rate": 5.6139601453786275e-09,
1801
+ "loss": 0.7445,
1802
+ "step": 2560
1803
+ },
1804
+ {
1805
+ "epoch": 0.9896033885252215,
1806
+ "grad_norm": 0.1839035004377365,
1807
+ "learning_rate": 3.0482834514805602e-09,
1808
+ "loss": 0.7409,
1809
+ "step": 2570
1810
+ },
1811
+ {
1812
+ "epoch": 0.993453985367732,
1813
+ "grad_norm": 0.17121848464012146,
1814
+ "learning_rate": 1.2598249081713366e-09,
1815
+ "loss": 0.7321,
1816
+ "step": 2580
1817
+ },
1818
+ {
1819
+ "epoch": 0.9973045822102425,
1820
+ "grad_norm": 0.189528226852417,
1821
+ "learning_rate": 2.488626895302826e-10,
1822
+ "loss": 0.7643,
1823
+ "step": 2590
1824
+ },
1825
+ {
1826
+ "epoch": 1.0,
1827
+ "step": 2597,
1828
+ "total_flos": 5.741467482636419e+18,
1829
+ "train_loss": 0.7665196801774264,
1830
+ "train_runtime": 15804.0854,
1831
+ "train_samples_per_second": 42.072,
1832
+ "train_steps_per_second": 0.164
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": 5.741467482636419e+18,
1853
+ "train_batch_size": 16,
1854
+ "trial_name": null,
1855
+ "trial_params": null
1856
+ }
continuous/smollm2/mc2_s16_384/finetune/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8160187ce3758c0bc175cc1155573ea422b802437739158d87b85c4a5fc7d0ab
3
+ size 6264
continuous/smollm2/mc2_s16_384/finetune/vocab.json ADDED
The diff for this file is too large to render. See raw diff
 
continuous/smollm2/mc2_s16_384/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": 384,
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": -2,
38
+ "mm_vision_tower": "open_clip_hub:ViT-S-16",
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/mc2/mc2_s16_384.pt",
69
+ "vocab_size": 49152
70
+ }
continuous/smollm2/mc2_s16_384/pretrain/mm_projector.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2cabbb33f794452f783fbecad5df7190884a1b973282a7d0f14c43ae7a0d4be6
3
+ size 19941432
continuous/smollm2/mc2_s16_384/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": 0.661046028137207,
15
+ "learning_rate": 0.00032142857142857147,
16
+ "loss": 3.9849,
17
+ "step": 10
18
+ },
19
+ {
20
+ "epoch": 0.03669724770642202,
21
+ "grad_norm": 0.07172026485204697,
22
+ "learning_rate": 0.0006785714285714287,
23
+ "loss": 2.941,
24
+ "step": 20
25
+ },
26
+ {
27
+ "epoch": 0.05504587155963303,
28
+ "grad_norm": 0.04554223641753197,
29
+ "learning_rate": 0.0009999907688176173,
30
+ "loss": 2.8077,
31
+ "step": 30
32
+ },
33
+ {
34
+ "epoch": 0.07339449541284404,
35
+ "grad_norm": 0.056808583438396454,
36
+ "learning_rate": 0.0009988834393115766,
37
+ "loss": 2.7464,
38
+ "step": 40
39
+ },
40
+ {
41
+ "epoch": 0.09174311926605505,
42
+ "grad_norm": 0.05608977749943733,
43
+ "learning_rate": 0.0009959345572940772,
44
+ "loss": 2.7062,
45
+ "step": 50
46
+ },
47
+ {
48
+ "epoch": 0.11009174311926606,
49
+ "grad_norm": 0.05264130234718323,
50
+ "learning_rate": 0.0009911550081155983,
51
+ "loss": 2.6593,
52
+ "step": 60
53
+ },
54
+ {
55
+ "epoch": 0.12844036697247707,
56
+ "grad_norm": 0.06252788752317429,
57
+ "learning_rate": 0.0009845624347566433,
58
+ "loss": 2.6221,
59
+ "step": 70
60
+ },
61
+ {
62
+ "epoch": 0.14678899082568808,
63
+ "grad_norm": 0.06343302130699158,
64
+ "learning_rate": 0.0009761811727013547,
65
+ "loss": 2.5907,
66
+ "step": 80
67
+ },
68
+ {
69
+ "epoch": 0.1651376146788991,
70
+ "grad_norm": 0.05407633259892464,
71
+ "learning_rate": 0.0009660421601067666,
72
+ "loss": 2.5641,
73
+ "step": 90
74
+ },
75
+ {
76
+ "epoch": 0.1834862385321101,
77
+ "grad_norm": 0.05160100758075714,
78
+ "learning_rate": 0.0009541828235992926,
79
+ "loss": 2.548,
80
+ "step": 100
81
+ },
82
+ {
83
+ "epoch": 0.2018348623853211,
84
+ "grad_norm": 0.06831538677215576,
85
+ "learning_rate": 0.0009406469401200151,
86
+ "loss": 2.5208,
87
+ "step": 110
88
+ },
89
+ {
90
+ "epoch": 0.22018348623853212,
91
+ "grad_norm": 0.05678124725818634,
92
+ "learning_rate": 0.0009254844753287492,
93
+ "loss": 2.5089,
94
+ "step": 120
95
+ },
96
+ {
97
+ "epoch": 0.23853211009174313,
98
+ "grad_norm": 0.06141580268740654,
99
+ "learning_rate": 0.0009087513991633924,
100
+ "loss": 2.4871,
101
+ "step": 130
102
+ },
103
+ {
104
+ "epoch": 0.25688073394495414,
105
+ "grad_norm": 0.054289236664772034,
106
+ "learning_rate": 0.0008905094792353917,
107
+ "loss": 2.4724,
108
+ "step": 140
109
+ },
110
+ {
111
+ "epoch": 0.27522935779816515,
112
+ "grad_norm": 0.06257763504981995,
113
+ "learning_rate": 0.0008708260528239789,
114
+ "loss": 2.4771,
115
+ "step": 150
116
+ },
117
+ {
118
+ "epoch": 0.29357798165137616,
119
+ "grad_norm": 0.06464827805757523,
120
+ "learning_rate": 0.0008497737783108237,
121
+ "loss": 2.4631,
122
+ "step": 160
123
+ },
124
+ {
125
+ "epoch": 0.3119266055045872,
126
+ "grad_norm": 0.05711657553911209,
127
+ "learning_rate": 0.0008274303669726426,
128
+ "loss": 2.4578,
129
+ "step": 170
130
+ },
131
+ {
132
+ "epoch": 0.3302752293577982,
133
+ "grad_norm": 0.0526086650788784,
134
+ "learning_rate": 0.0008038782961218137,
135
+ "loss": 2.4425,
136
+ "step": 180
137
+ },
138
+ {
139
+ "epoch": 0.3486238532110092,
140
+ "grad_norm": 0.05428371950984001,
141
+ "learning_rate": 0.000779204504653894,
142
+ "loss": 2.4367,
143
+ "step": 190
144
+ },
145
+ {
146
+ "epoch": 0.3669724770642202,
147
+ "grad_norm": 0.051636531949043274,
148
+ "learning_rate": 0.0007535000721258791,
149
+ "loss": 2.4115,
150
+ "step": 200
151
+ },
152
+ {
153
+ "epoch": 0.3853211009174312,
154
+ "grad_norm": 0.06202740967273712,
155
+ "learning_rate": 0.00072685988254984,
156
+ "loss": 2.4058,
157
+ "step": 210
158
+ },
159
+ {
160
+ "epoch": 0.4036697247706422,
161
+ "grad_norm": 0.06554454565048218,
162
+ "learning_rate": 0.0006993822741429906,
163
+ "loss": 2.4036,
164
+ "step": 220
165
+ },
166
+ {
167
+ "epoch": 0.42201834862385323,
168
+ "grad_norm": 0.05529190972447395,
169
+ "learning_rate": 0.0006711686763270818,
170
+ "loss": 2.3869,
171
+ "step": 230
172
+ },
173
+ {
174
+ "epoch": 0.44036697247706424,
175
+ "grad_norm": 0.05099738761782646,
176
+ "learning_rate": 0.0006423232353170831,
177
+ "loss": 2.3689,
178
+ "step": 240
179
+ },
180
+ {
181
+ "epoch": 0.45871559633027525,
182
+ "grad_norm": 0.06488394737243652,
183
+ "learning_rate": 0.0006129524296812335,
184
+ "loss": 2.3604,
185
+ "step": 250
186
+ },
187
+ {
188
+ "epoch": 0.47706422018348627,
189
+ "grad_norm": 0.05717618018388748,
190
+ "learning_rate": 0.0005831646772915651,
191
+ "loss": 2.3579,
192
+ "step": 260
193
+ },
194
+ {
195
+ "epoch": 0.4954128440366973,
196
+ "grad_norm": 0.07191640138626099,
197
+ "learning_rate": 0.0005530699351157809,
198
+ "loss": 2.331,
199
+ "step": 270
200
+ },
201
+ {
202
+ "epoch": 0.5137614678899083,
203
+ "grad_norm": 0.054891619831323624,
204
+ "learning_rate": 0.0005227792933277943,
205
+ "loss": 2.3311,
206
+ "step": 280
207
+ },
208
+ {
209
+ "epoch": 0.5321100917431193,
210
+ "grad_norm": 0.05518456548452377,
211
+ "learning_rate": 0.0004924045652352092,
212
+ "loss": 2.3134,
213
+ "step": 290
214
+ },
215
+ {
216
+ "epoch": 0.5504587155963303,
217
+ "grad_norm": 0.06362739205360413,
218
+ "learning_rate": 0.0004620578745374633,
219
+ "loss": 2.3114,
220
+ "step": 300
221
+ },
222
+ {
223
+ "epoch": 0.5688073394495413,
224
+ "grad_norm": 0.06554791331291199,
225
+ "learning_rate": 0.0004318512414382059,
226
+ "loss": 2.3136,
227
+ "step": 310
228
+ },
229
+ {
230
+ "epoch": 0.5871559633027523,
231
+ "grad_norm": 0.05382547900080681,
232
+ "learning_rate": 0.0004018961691397148,
233
+ "loss": 2.3099,
234
+ "step": 320
235
+ },
236
+ {
237
+ "epoch": 0.6055045871559633,
238
+ "grad_norm": 0.05207272246479988,
239
+ "learning_rate": 0.0003723032322457458,
240
+ "loss": 2.2947,
241
+ "step": 330
242
+ },
243
+ {
244
+ "epoch": 0.6238532110091743,
245
+ "grad_norm": 0.08183359354734421,
246
+ "learning_rate": 0.0003431816685921625,
247
+ "loss": 2.2968,
248
+ "step": 340
249
+ },
250
+ {
251
+ "epoch": 0.6422018348623854,
252
+ "grad_norm": 0.06510964035987854,
253
+ "learning_rate": 0.0003146389760120416,
254
+ "loss": 2.2946,
255
+ "step": 350
256
+ },
257
+ {
258
+ "epoch": 0.6605504587155964,
259
+ "grad_norm": 0.06027234345674515,
260
+ "learning_rate": 0.00028678051552373485,
261
+ "loss": 2.2953,
262
+ "step": 360
263
+ },
264
+ {
265
+ "epoch": 0.6788990825688074,
266
+ "grad_norm": 0.05233234167098999,
267
+ "learning_rate": 0.0002597091224066581,
268
+ "loss": 2.2882,
269
+ "step": 370
270
+ },
271
+ {
272
+ "epoch": 0.6972477064220184,
273
+ "grad_norm": 0.0568583644926548,
274
+ "learning_rate": 0.0002335247266004629,
275
+ "loss": 2.2934,
276
+ "step": 380
277
+ },
278
+ {
279
+ "epoch": 0.7155963302752294,
280
+ "grad_norm": 0.05176272615790367,
281
+ "learning_rate": 0.000208323983828828,
282
+ "loss": 2.2817,
283
+ "step": 390
284
+ },
285
+ {
286
+ "epoch": 0.7339449541284404,
287
+ "grad_norm": 0.05056929215788841,
288
+ "learning_rate": 0.0001841999188095224,
289
+ "loss": 2.2745,
290
+ "step": 400
291
+ },
292
+ {
293
+ "epoch": 0.7522935779816514,
294
+ "grad_norm": 0.046528927981853485,
295
+ "learning_rate": 0.00016124158186777676,
296
+ "loss": 2.2794,
297
+ "step": 410
298
+ },
299
+ {
300
+ "epoch": 0.7706422018348624,
301
+ "grad_norm": 0.05586559697985649,
302
+ "learning_rate": 0.0001395337202205211,
303
+ "loss": 2.2727,
304
+ "step": 420
305
+ },
306
+ {
307
+ "epoch": 0.7889908256880734,
308
+ "grad_norm": 0.05037286877632141,
309
+ "learning_rate": 0.00011915646514489292,
310
+ "loss": 2.2707,
311
+ "step": 430
312
+ },
313
+ {
314
+ "epoch": 0.8073394495412844,
315
+ "grad_norm": 0.056546345353126526,
316
+ "learning_rate": 0.00010018503618578818,
317
+ "loss": 2.2783,
318
+ "step": 440
319
+ },
320
+ {
321
+ "epoch": 0.8256880733944955,
322
+ "grad_norm": 0.05377654358744621,
323
+ "learning_rate": 8.268946349432583e-05,
324
+ "loss": 2.2723,
325
+ "step": 450
326
+ },
327
+ {
328
+ "epoch": 0.8440366972477065,
329
+ "grad_norm": 0.04794884845614433,
330
+ "learning_rate": 6.673432932217117e-05,
331
+ "loss": 2.2626,
332
+ "step": 460
333
+ },
334
+ {
335
+ "epoch": 0.8623853211009175,
336
+ "grad_norm": 0.04736407846212387,
337
+ "learning_rate": 5.2378529625954684e-05,
338
+ "loss": 2.2596,
339
+ "step": 470
340
+ },
341
+ {
342
+ "epoch": 0.8807339449541285,
343
+ "grad_norm": 0.04478994384407997,
344
+ "learning_rate": 3.9675056661785556e-05,
345
+ "loss": 2.2612,
346
+ "step": 480
347
+ },
348
+ {
349
+ "epoch": 0.8990825688073395,
350
+ "grad_norm": 0.04703110456466675,
351
+ "learning_rate": 2.8670803372379538e-05,
352
+ "loss": 2.2682,
353
+ "step": 490
354
+ },
355
+ {
356
+ "epoch": 0.9174311926605505,
357
+ "grad_norm": 0.0462707057595253,
358
+ "learning_rate": 1.9406390288876586e-05,
359
+ "loss": 2.2709,
360
+ "step": 500
361
+ },
362
+ {
363
+ "epoch": 0.9357798165137615,
364
+ "grad_norm": 0.04543345794081688,
365
+ "learning_rate": 1.191601558631461e-05,
366
+ "loss": 2.2633,
367
+ "step": 510
368
+ },
369
+ {
370
+ "epoch": 0.9541284403669725,
371
+ "grad_norm": 0.045798640698194504,
372
+ "learning_rate": 6.2273288462559305e-06,
373
+ "loss": 2.2607,
374
+ "step": 520
375
+ },
376
+ {
377
+ "epoch": 0.9724770642201835,
378
+ "grad_norm": 0.046834927052259445,
379
+ "learning_rate": 2.361328992552314e-06,
380
+ "loss": 2.264,
381
+ "step": 530
382
+ },
383
+ {
384
+ "epoch": 0.9908256880733946,
385
+ "grad_norm": 0.046137817203998566,
386
+ "learning_rate": 3.322867770044202e-07,
387
+ "loss": 2.2592,
388
+ "step": 540
389
+ },
390
+ {
391
+ "epoch": 1.0,
392
+ "step": 545,
393
+ "total_flos": 3.267998935553147e+17,
394
+ "train_loss": 2.426347207585606,
395
+ "train_runtime": 2761.9941,
396
+ "train_samples_per_second": 202.074,
397
+ "train_steps_per_second": 0.197
398
+ }
399
+ ],
400
+ "logging_steps": 10,
401
+ "max_steps": 545,
402
+ "num_input_tokens_seen": 33258880,
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": 3.267998935553147e+17,
418
+ "train_batch_size": 32,
419
+ "trial_name": null,
420
+ "trial_params": null
421
+ }
continuous/smollm2/pe_core_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/pe_core_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": -1,
38
+ "mm_vision_tower": "vtb_ssl:pe",
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/pe/PE-Core-B16-224/PE-Core-B16-224.pt",
69
+ "vocab_size": 49152
70
+ }
continuous/smollm2/pe_core_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/pe_core_b16_224/finetune/merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
continuous/smollm2/pe_core_b16_224/finetune/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a5dd08c454bd41102cf363e8a383dfbbbbc6bf9234ef802ea3d30fb59b616e72
3
+ size 3834559376
continuous/smollm2/pe_core_b16_224/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
+ }