gsmyrnis commited on
Commit
62fcca6
·
verified ·
1 Parent(s): e8bbd40

End of training

Browse files
README.md CHANGED
@@ -4,6 +4,7 @@ license: apache-2.0
4
  base_model: mistralai/Mistral-7B-v0.3
5
  tags:
6
  - llama-factory
 
7
  - generated_from_trainer
8
  model-index:
9
  - name: mistral_7b_0-3_oh-dcft-v3.1-qwen-2.5-72b
@@ -15,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
15
 
16
  # mistral_7b_0-3_oh-dcft-v3.1-qwen-2.5-72b
17
 
18
- This model is a fine-tuned version of [mistralai/Mistral-7B-v0.3](https://huggingface.co/mistralai/Mistral-7B-v0.3) on an unknown dataset.
19
  It achieves the following results on the evaluation set:
20
  - Loss: 0.3581
21
 
 
4
  base_model: mistralai/Mistral-7B-v0.3
5
  tags:
6
  - llama-factory
7
+ - full
8
  - generated_from_trainer
9
  model-index:
10
  - name: mistral_7b_0-3_oh-dcft-v3.1-qwen-2.5-72b
 
16
 
17
  # mistral_7b_0-3_oh-dcft-v3.1-qwen-2.5-72b
18
 
19
+ This model is a fine-tuned version of [mistralai/Mistral-7B-v0.3](https://huggingface.co/mistralai/Mistral-7B-v0.3) on the mlfoundations-dev/oh-dcft-v3.1-qwen-2.5-72b dataset.
20
  It achieves the following results on the evaluation set:
21
  - Loss: 0.3581
22
 
all_results.json ADDED
@@ -0,0 +1,12 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 3.0,
3
+ "eval_loss": 0.3581169545650482,
4
+ "eval_runtime": 55.9349,
5
+ "eval_samples_per_second": 257.049,
6
+ "eval_steps_per_second": 1.019,
7
+ "total_flos": 2683409667194880.0,
8
+ "train_loss": 0.2738360005445992,
9
+ "train_runtime": 9858.4557,
10
+ "train_samples_per_second": 83.126,
11
+ "train_steps_per_second": 0.163
12
+ }
eval_results.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 3.0,
3
+ "eval_loss": 0.3581169545650482,
4
+ "eval_runtime": 55.9349,
5
+ "eval_samples_per_second": 257.049,
6
+ "eval_steps_per_second": 1.019
7
+ }
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 3.0,
3
+ "total_flos": 2683409667194880.0,
4
+ "train_loss": 0.2738360005445992,
5
+ "train_runtime": 9858.4557,
6
+ "train_samples_per_second": 83.126,
7
+ "train_steps_per_second": 0.163
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,1186 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 3.0,
5
+ "eval_steps": 500,
6
+ "global_step": 1602,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.018726591760299626,
13
+ "grad_norm": 6.9583668884714545,
14
+ "learning_rate": 6.17283950617284e-07,
15
+ "loss": 0.5853,
16
+ "step": 10
17
+ },
18
+ {
19
+ "epoch": 0.03745318352059925,
20
+ "grad_norm": 2.459747968301057,
21
+ "learning_rate": 1.234567901234568e-06,
22
+ "loss": 0.4956,
23
+ "step": 20
24
+ },
25
+ {
26
+ "epoch": 0.056179775280898875,
27
+ "grad_norm": 1.5518874081248877,
28
+ "learning_rate": 1.8518518518518519e-06,
29
+ "loss": 0.4511,
30
+ "step": 30
31
+ },
32
+ {
33
+ "epoch": 0.0749063670411985,
34
+ "grad_norm": 1.327079400917728,
35
+ "learning_rate": 2.469135802469136e-06,
36
+ "loss": 0.4242,
37
+ "step": 40
38
+ },
39
+ {
40
+ "epoch": 0.09363295880149813,
41
+ "grad_norm": 1.6052721933898932,
42
+ "learning_rate": 3.08641975308642e-06,
43
+ "loss": 0.4112,
44
+ "step": 50
45
+ },
46
+ {
47
+ "epoch": 0.11235955056179775,
48
+ "grad_norm": 2.1363218656503236,
49
+ "learning_rate": 3.7037037037037037e-06,
50
+ "loss": 0.4056,
51
+ "step": 60
52
+ },
53
+ {
54
+ "epoch": 0.13108614232209737,
55
+ "grad_norm": 2.5025301508678246,
56
+ "learning_rate": 4.3209876543209875e-06,
57
+ "loss": 0.3934,
58
+ "step": 70
59
+ },
60
+ {
61
+ "epoch": 0.149812734082397,
62
+ "grad_norm": 1.6968039665700831,
63
+ "learning_rate": 4.938271604938272e-06,
64
+ "loss": 0.3931,
65
+ "step": 80
66
+ },
67
+ {
68
+ "epoch": 0.16853932584269662,
69
+ "grad_norm": 1.710626024878931,
70
+ "learning_rate": 4.999611253625062e-06,
71
+ "loss": 0.3854,
72
+ "step": 90
73
+ },
74
+ {
75
+ "epoch": 0.18726591760299627,
76
+ "grad_norm": 2.229340351997921,
77
+ "learning_rate": 4.99826761145702e-06,
78
+ "loss": 0.388,
79
+ "step": 100
80
+ },
81
+ {
82
+ "epoch": 0.20599250936329588,
83
+ "grad_norm": 1.6554235103974217,
84
+ "learning_rate": 4.995964847225794e-06,
85
+ "loss": 0.3798,
86
+ "step": 110
87
+ },
88
+ {
89
+ "epoch": 0.2247191011235955,
90
+ "grad_norm": 1.5390529564927018,
91
+ "learning_rate": 4.992703943301973e-06,
92
+ "loss": 0.3788,
93
+ "step": 120
94
+ },
95
+ {
96
+ "epoch": 0.24344569288389514,
97
+ "grad_norm": 1.686640147089175,
98
+ "learning_rate": 4.988486290803271e-06,
99
+ "loss": 0.3724,
100
+ "step": 130
101
+ },
102
+ {
103
+ "epoch": 0.26217228464419473,
104
+ "grad_norm": 1.4586531417129365,
105
+ "learning_rate": 4.983313689001068e-06,
106
+ "loss": 0.3737,
107
+ "step": 140
108
+ },
109
+ {
110
+ "epoch": 0.2808988764044944,
111
+ "grad_norm": 1.383788345325366,
112
+ "learning_rate": 4.977188344552831e-06,
113
+ "loss": 0.3708,
114
+ "step": 150
115
+ },
116
+ {
117
+ "epoch": 0.299625468164794,
118
+ "grad_norm": 2.344749126006063,
119
+ "learning_rate": 4.970112870560744e-06,
120
+ "loss": 0.3705,
121
+ "step": 160
122
+ },
123
+ {
124
+ "epoch": 0.31835205992509363,
125
+ "grad_norm": 1.333313085188304,
126
+ "learning_rate": 4.962090285456943e-06,
127
+ "loss": 0.3726,
128
+ "step": 170
129
+ },
130
+ {
131
+ "epoch": 0.33707865168539325,
132
+ "grad_norm": 1.2767396164379259,
133
+ "learning_rate": 4.953124011715844e-06,
134
+ "loss": 0.368,
135
+ "step": 180
136
+ },
137
+ {
138
+ "epoch": 0.35580524344569286,
139
+ "grad_norm": 1.8939736466696433,
140
+ "learning_rate": 4.943217874394092e-06,
141
+ "loss": 0.3673,
142
+ "step": 190
143
+ },
144
+ {
145
+ "epoch": 0.37453183520599254,
146
+ "grad_norm": 1.4076191572126282,
147
+ "learning_rate": 4.932376099498779e-06,
148
+ "loss": 0.3592,
149
+ "step": 200
150
+ },
151
+ {
152
+ "epoch": 0.39325842696629215,
153
+ "grad_norm": 1.2393424297302382,
154
+ "learning_rate": 4.920603312184602e-06,
155
+ "loss": 0.3646,
156
+ "step": 210
157
+ },
158
+ {
159
+ "epoch": 0.41198501872659177,
160
+ "grad_norm": 1.6712067045257082,
161
+ "learning_rate": 4.907904534780752e-06,
162
+ "loss": 0.3567,
163
+ "step": 220
164
+ },
165
+ {
166
+ "epoch": 0.4307116104868914,
167
+ "grad_norm": 1.612702425647588,
168
+ "learning_rate": 4.894285184648369e-06,
169
+ "loss": 0.3585,
170
+ "step": 230
171
+ },
172
+ {
173
+ "epoch": 0.449438202247191,
174
+ "grad_norm": 2.4813858906223834,
175
+ "learning_rate": 4.879751071869461e-06,
176
+ "loss": 0.3623,
177
+ "step": 240
178
+ },
179
+ {
180
+ "epoch": 0.4681647940074906,
181
+ "grad_norm": 2.163116509485285,
182
+ "learning_rate": 4.864308396768294e-06,
183
+ "loss": 0.3586,
184
+ "step": 250
185
+ },
186
+ {
187
+ "epoch": 0.4868913857677903,
188
+ "grad_norm": 1.7525497737806786,
189
+ "learning_rate": 4.847963747266312e-06,
190
+ "loss": 0.3547,
191
+ "step": 260
192
+ },
193
+ {
194
+ "epoch": 0.5056179775280899,
195
+ "grad_norm": 1.3534898789991496,
196
+ "learning_rate": 4.83072409607169e-06,
197
+ "loss": 0.3534,
198
+ "step": 270
199
+ },
200
+ {
201
+ "epoch": 0.5243445692883895,
202
+ "grad_norm": 1.6829737229447668,
203
+ "learning_rate": 4.81259679770474e-06,
204
+ "loss": 0.3519,
205
+ "step": 280
206
+ },
207
+ {
208
+ "epoch": 0.5430711610486891,
209
+ "grad_norm": 1.3735075038975693,
210
+ "learning_rate": 4.7935895853604455e-06,
211
+ "loss": 0.353,
212
+ "step": 290
213
+ },
214
+ {
215
+ "epoch": 0.5617977528089888,
216
+ "grad_norm": 1.9414583619507375,
217
+ "learning_rate": 4.773710567609436e-06,
218
+ "loss": 0.3547,
219
+ "step": 300
220
+ },
221
+ {
222
+ "epoch": 0.5805243445692884,
223
+ "grad_norm": 1.4766636724732591,
224
+ "learning_rate": 4.7529682249388284e-06,
225
+ "loss": 0.3515,
226
+ "step": 310
227
+ },
228
+ {
229
+ "epoch": 0.599250936329588,
230
+ "grad_norm": 1.420170786947651,
231
+ "learning_rate": 4.7313714061344165e-06,
232
+ "loss": 0.3559,
233
+ "step": 320
234
+ },
235
+ {
236
+ "epoch": 0.6179775280898876,
237
+ "grad_norm": 1.585688048778078,
238
+ "learning_rate": 4.708929324505729e-06,
239
+ "loss": 0.3474,
240
+ "step": 330
241
+ },
242
+ {
243
+ "epoch": 0.6367041198501873,
244
+ "grad_norm": 1.4660422960583963,
245
+ "learning_rate": 4.685651553955589e-06,
246
+ "loss": 0.3478,
247
+ "step": 340
248
+ },
249
+ {
250
+ "epoch": 0.6554307116104869,
251
+ "grad_norm": 1.729952760499875,
252
+ "learning_rate": 4.661548024895843e-06,
253
+ "loss": 0.3502,
254
+ "step": 350
255
+ },
256
+ {
257
+ "epoch": 0.6741573033707865,
258
+ "grad_norm": 1.5477887192577897,
259
+ "learning_rate": 4.636629020010989e-06,
260
+ "loss": 0.3462,
261
+ "step": 360
262
+ },
263
+ {
264
+ "epoch": 0.6928838951310862,
265
+ "grad_norm": 1.3822726826009006,
266
+ "learning_rate": 4.6109051698715425e-06,
267
+ "loss": 0.3447,
268
+ "step": 370
269
+ },
270
+ {
271
+ "epoch": 0.7116104868913857,
272
+ "grad_norm": 1.4151446110625596,
273
+ "learning_rate": 4.5843874483989744e-06,
274
+ "loss": 0.3452,
275
+ "step": 380
276
+ },
277
+ {
278
+ "epoch": 0.7303370786516854,
279
+ "grad_norm": 1.213585225271953,
280
+ "learning_rate": 4.5570871681841915e-06,
281
+ "loss": 0.3525,
282
+ "step": 390
283
+ },
284
+ {
285
+ "epoch": 0.7490636704119851,
286
+ "grad_norm": 1.2153292815838297,
287
+ "learning_rate": 4.529015975661518e-06,
288
+ "loss": 0.3497,
289
+ "step": 400
290
+ },
291
+ {
292
+ "epoch": 0.7677902621722846,
293
+ "grad_norm": 1.0767956653910644,
294
+ "learning_rate": 4.5001858461402765e-06,
295
+ "loss": 0.3469,
296
+ "step": 410
297
+ },
298
+ {
299
+ "epoch": 0.7865168539325843,
300
+ "grad_norm": 1.0725016047427482,
301
+ "learning_rate": 4.470609078696062e-06,
302
+ "loss": 0.3459,
303
+ "step": 420
304
+ },
305
+ {
306
+ "epoch": 0.8052434456928839,
307
+ "grad_norm": 1.14757314560185,
308
+ "learning_rate": 4.440298290923893e-06,
309
+ "loss": 0.3446,
310
+ "step": 430
311
+ },
312
+ {
313
+ "epoch": 0.8239700374531835,
314
+ "grad_norm": 1.435028611591542,
315
+ "learning_rate": 4.409266413555481e-06,
316
+ "loss": 0.3468,
317
+ "step": 440
318
+ },
319
+ {
320
+ "epoch": 0.8426966292134831,
321
+ "grad_norm": 1.3563421475894943,
322
+ "learning_rate": 4.3775266849429245e-06,
323
+ "loss": 0.3471,
324
+ "step": 450
325
+ },
326
+ {
327
+ "epoch": 0.8614232209737828,
328
+ "grad_norm": 1.272968934220072,
329
+ "learning_rate": 4.345092645411154e-06,
330
+ "loss": 0.3459,
331
+ "step": 460
332
+ },
333
+ {
334
+ "epoch": 0.8801498127340824,
335
+ "grad_norm": 1.1988760260435716,
336
+ "learning_rate": 4.311978131481565e-06,
337
+ "loss": 0.3439,
338
+ "step": 470
339
+ },
340
+ {
341
+ "epoch": 0.898876404494382,
342
+ "grad_norm": 1.2157009389799966,
343
+ "learning_rate": 4.2781972699692955e-06,
344
+ "loss": 0.341,
345
+ "step": 480
346
+ },
347
+ {
348
+ "epoch": 0.9176029962546817,
349
+ "grad_norm": 1.2302691306481766,
350
+ "learning_rate": 4.243764471956648e-06,
351
+ "loss": 0.3436,
352
+ "step": 490
353
+ },
354
+ {
355
+ "epoch": 0.9363295880149812,
356
+ "grad_norm": 1.1395524537917356,
357
+ "learning_rate": 4.208694426645257e-06,
358
+ "loss": 0.3442,
359
+ "step": 500
360
+ },
361
+ {
362
+ "epoch": 0.9550561797752809,
363
+ "grad_norm": 1.0502686640912897,
364
+ "learning_rate": 4.1730020950895985e-06,
365
+ "loss": 0.3406,
366
+ "step": 510
367
+ },
368
+ {
369
+ "epoch": 0.9737827715355806,
370
+ "grad_norm": 1.1788715508510565,
371
+ "learning_rate": 4.136702703814536e-06,
372
+ "loss": 0.3399,
373
+ "step": 520
374
+ },
375
+ {
376
+ "epoch": 0.9925093632958801,
377
+ "grad_norm": 0.9961303841798358,
378
+ "learning_rate": 4.0998117383196035e-06,
379
+ "loss": 0.3426,
380
+ "step": 530
381
+ },
382
+ {
383
+ "epoch": 1.0,
384
+ "eval_loss": 0.3397010564804077,
385
+ "eval_runtime": 49.3629,
386
+ "eval_samples_per_second": 291.271,
387
+ "eval_steps_per_second": 1.155,
388
+ "step": 534
389
+ },
390
+ {
391
+ "epoch": 1.0112359550561798,
392
+ "grad_norm": 1.5016330309741552,
393
+ "learning_rate": 4.062344936472819e-06,
394
+ "loss": 0.3041,
395
+ "step": 540
396
+ },
397
+ {
398
+ "epoch": 1.0299625468164795,
399
+ "grad_norm": 1.4105174151178423,
400
+ "learning_rate": 4.024318281796832e-06,
401
+ "loss": 0.2653,
402
+ "step": 550
403
+ },
404
+ {
405
+ "epoch": 1.048689138576779,
406
+ "grad_norm": 1.1267842205009497,
407
+ "learning_rate": 3.985747996650271e-06,
408
+ "loss": 0.2635,
409
+ "step": 560
410
+ },
411
+ {
412
+ "epoch": 1.0674157303370786,
413
+ "grad_norm": 1.4577741522220231,
414
+ "learning_rate": 3.94665053530721e-06,
415
+ "loss": 0.2661,
416
+ "step": 570
417
+ },
418
+ {
419
+ "epoch": 1.0861423220973783,
420
+ "grad_norm": 1.1743755144218508,
421
+ "learning_rate": 3.907042576937689e-06,
422
+ "loss": 0.2614,
423
+ "step": 580
424
+ },
425
+ {
426
+ "epoch": 1.104868913857678,
427
+ "grad_norm": 1.1077587707464613,
428
+ "learning_rate": 3.8669410184923e-06,
429
+ "loss": 0.2638,
430
+ "step": 590
431
+ },
432
+ {
433
+ "epoch": 1.1235955056179776,
434
+ "grad_norm": 1.499213012424364,
435
+ "learning_rate": 3.826362967493867e-06,
436
+ "loss": 0.2649,
437
+ "step": 600
438
+ },
439
+ {
440
+ "epoch": 1.142322097378277,
441
+ "grad_norm": 1.2186830879218926,
442
+ "learning_rate": 3.7853257347392865e-06,
443
+ "loss": 0.2664,
444
+ "step": 610
445
+ },
446
+ {
447
+ "epoch": 1.1610486891385767,
448
+ "grad_norm": 1.5365523984386804,
449
+ "learning_rate": 3.74384682691466e-06,
450
+ "loss": 0.2656,
451
+ "step": 620
452
+ },
453
+ {
454
+ "epoch": 1.1797752808988764,
455
+ "grad_norm": 1.2824215690021454,
456
+ "learning_rate": 3.701943939126856e-06,
457
+ "loss": 0.264,
458
+ "step": 630
459
+ },
460
+ {
461
+ "epoch": 1.198501872659176,
462
+ "grad_norm": 1.1855864127248261,
463
+ "learning_rate": 3.659634947354686e-06,
464
+ "loss": 0.2612,
465
+ "step": 640
466
+ },
467
+ {
468
+ "epoch": 1.2172284644194757,
469
+ "grad_norm": 1.0357586593608685,
470
+ "learning_rate": 3.61693790082293e-06,
471
+ "loss": 0.2609,
472
+ "step": 650
473
+ },
474
+ {
475
+ "epoch": 1.2359550561797752,
476
+ "grad_norm": 1.2298112784157318,
477
+ "learning_rate": 3.5738710143024406e-06,
478
+ "loss": 0.2648,
479
+ "step": 660
480
+ },
481
+ {
482
+ "epoch": 1.2546816479400749,
483
+ "grad_norm": 1.1873771143182965,
484
+ "learning_rate": 3.530452660339638e-06,
485
+ "loss": 0.2648,
486
+ "step": 670
487
+ },
488
+ {
489
+ "epoch": 1.2734082397003745,
490
+ "grad_norm": 1.1104387940773652,
491
+ "learning_rate": 3.486701361418686e-06,
492
+ "loss": 0.2669,
493
+ "step": 680
494
+ },
495
+ {
496
+ "epoch": 1.2921348314606742,
497
+ "grad_norm": 1.0981466202062755,
498
+ "learning_rate": 3.4426357820597144e-06,
499
+ "loss": 0.2656,
500
+ "step": 690
501
+ },
502
+ {
503
+ "epoch": 1.3108614232209739,
504
+ "grad_norm": 1.0622356793414978,
505
+ "learning_rate": 3.3982747208564383e-06,
506
+ "loss": 0.2684,
507
+ "step": 700
508
+ },
509
+ {
510
+ "epoch": 1.3295880149812733,
511
+ "grad_norm": 1.1204181746461044,
512
+ "learning_rate": 3.353637102456585e-06,
513
+ "loss": 0.2632,
514
+ "step": 710
515
+ },
516
+ {
517
+ "epoch": 1.348314606741573,
518
+ "grad_norm": 1.1561988340566498,
519
+ "learning_rate": 3.30874196948855e-06,
520
+ "loss": 0.2655,
521
+ "step": 720
522
+ },
523
+ {
524
+ "epoch": 1.3670411985018727,
525
+ "grad_norm": 1.1634759808618433,
526
+ "learning_rate": 3.2636084744377123e-06,
527
+ "loss": 0.2662,
528
+ "step": 730
529
+ },
530
+ {
531
+ "epoch": 1.3857677902621723,
532
+ "grad_norm": 1.183622746360506,
533
+ "learning_rate": 3.218255871475894e-06,
534
+ "loss": 0.2665,
535
+ "step": 740
536
+ },
537
+ {
538
+ "epoch": 1.404494382022472,
539
+ "grad_norm": 1.3035644321187594,
540
+ "learning_rate": 3.172703508247433e-06,
541
+ "loss": 0.2641,
542
+ "step": 750
543
+ },
544
+ {
545
+ "epoch": 1.4232209737827715,
546
+ "grad_norm": 1.2520080394828148,
547
+ "learning_rate": 3.126970817615384e-06,
548
+ "loss": 0.2641,
549
+ "step": 760
550
+ },
551
+ {
552
+ "epoch": 1.4419475655430711,
553
+ "grad_norm": 1.1658528659149325,
554
+ "learning_rate": 3.0810773093713615e-06,
555
+ "loss": 0.2672,
556
+ "step": 770
557
+ },
558
+ {
559
+ "epoch": 1.4606741573033708,
560
+ "grad_norm": 1.1183168156658745,
561
+ "learning_rate": 3.0350425619125678e-06,
562
+ "loss": 0.2679,
563
+ "step": 780
564
+ },
565
+ {
566
+ "epoch": 1.4794007490636705,
567
+ "grad_norm": 1.2572209531909289,
568
+ "learning_rate": 2.988886213889551e-06,
569
+ "loss": 0.2673,
570
+ "step": 790
571
+ },
572
+ {
573
+ "epoch": 1.4981273408239701,
574
+ "grad_norm": 1.1500933028632634,
575
+ "learning_rate": 2.9426279558282617e-06,
576
+ "loss": 0.2661,
577
+ "step": 800
578
+ },
579
+ {
580
+ "epoch": 1.5168539325842696,
581
+ "grad_norm": 1.090606866883075,
582
+ "learning_rate": 2.896287521729974e-06,
583
+ "loss": 0.2616,
584
+ "step": 810
585
+ },
586
+ {
587
+ "epoch": 1.5355805243445693,
588
+ "grad_norm": 1.1320316226013576,
589
+ "learning_rate": 2.849884680652666e-06,
590
+ "loss": 0.27,
591
+ "step": 820
592
+ },
593
+ {
594
+ "epoch": 1.554307116104869,
595
+ "grad_norm": 1.103244276726941,
596
+ "learning_rate": 2.8034392282774415e-06,
597
+ "loss": 0.2635,
598
+ "step": 830
599
+ },
600
+ {
601
+ "epoch": 1.5730337078651684,
602
+ "grad_norm": 1.099593203599622,
603
+ "learning_rate": 2.7569709784635934e-06,
604
+ "loss": 0.2619,
605
+ "step": 840
606
+ },
607
+ {
608
+ "epoch": 1.5917602996254683,
609
+ "grad_norm": 1.0707708462874654,
610
+ "learning_rate": 2.710499754795916e-06,
611
+ "loss": 0.2636,
612
+ "step": 850
613
+ },
614
+ {
615
+ "epoch": 1.6104868913857677,
616
+ "grad_norm": 1.1077681383186893,
617
+ "learning_rate": 2.664045382127863e-06,
618
+ "loss": 0.2635,
619
+ "step": 860
620
+ },
621
+ {
622
+ "epoch": 1.6292134831460674,
623
+ "grad_norm": 1.0523839107618693,
624
+ "learning_rate": 2.6176276781241695e-06,
625
+ "loss": 0.2671,
626
+ "step": 870
627
+ },
628
+ {
629
+ "epoch": 1.647940074906367,
630
+ "grad_norm": 1.1453676425960706,
631
+ "learning_rate": 2.571266444806535e-06,
632
+ "loss": 0.2636,
633
+ "step": 880
634
+ },
635
+ {
636
+ "epoch": 1.6666666666666665,
637
+ "grad_norm": 1.0877845955489727,
638
+ "learning_rate": 2.5249814601059897e-06,
639
+ "loss": 0.2622,
640
+ "step": 890
641
+ },
642
+ {
643
+ "epoch": 1.6853932584269664,
644
+ "grad_norm": 1.109206643426623,
645
+ "learning_rate": 2.4787924694255235e-06,
646
+ "loss": 0.2674,
647
+ "step": 900
648
+ },
649
+ {
650
+ "epoch": 1.7041198501872659,
651
+ "grad_norm": 1.148003058058869,
652
+ "learning_rate": 2.4327191772166046e-06,
653
+ "loss": 0.2666,
654
+ "step": 910
655
+ },
656
+ {
657
+ "epoch": 1.7228464419475655,
658
+ "grad_norm": 1.0373837405536894,
659
+ "learning_rate": 2.3867812385731627e-06,
660
+ "loss": 0.2624,
661
+ "step": 920
662
+ },
663
+ {
664
+ "epoch": 1.7415730337078652,
665
+ "grad_norm": 1.0452119354423188,
666
+ "learning_rate": 2.340998250846629e-06,
667
+ "loss": 0.2672,
668
+ "step": 930
669
+ },
670
+ {
671
+ "epoch": 1.7602996254681647,
672
+ "grad_norm": 1.0839517512429684,
673
+ "learning_rate": 2.2953897452856035e-06,
674
+ "loss": 0.2627,
675
+ "step": 940
676
+ },
677
+ {
678
+ "epoch": 1.7790262172284645,
679
+ "grad_norm": 1.1357572847216206,
680
+ "learning_rate": 2.2499751787037404e-06,
681
+ "loss": 0.2658,
682
+ "step": 950
683
+ },
684
+ {
685
+ "epoch": 1.797752808988764,
686
+ "grad_norm": 1.049597976731673,
687
+ "learning_rate": 2.2047739251793624e-06,
688
+ "loss": 0.2634,
689
+ "step": 960
690
+ },
691
+ {
692
+ "epoch": 1.8164794007490637,
693
+ "grad_norm": 1.1411990916035244,
694
+ "learning_rate": 2.1598052677903904e-06,
695
+ "loss": 0.261,
696
+ "step": 970
697
+ },
698
+ {
699
+ "epoch": 1.8352059925093633,
700
+ "grad_norm": 1.1008798760396603,
701
+ "learning_rate": 2.1150883903880863e-06,
702
+ "loss": 0.2622,
703
+ "step": 980
704
+ },
705
+ {
706
+ "epoch": 1.8539325842696628,
707
+ "grad_norm": 1.0556909678728987,
708
+ "learning_rate": 2.0706423694131246e-06,
709
+ "loss": 0.2589,
710
+ "step": 990
711
+ },
712
+ {
713
+ "epoch": 1.8726591760299627,
714
+ "grad_norm": 1.01122078883521,
715
+ "learning_rate": 2.0264861657574936e-06,
716
+ "loss": 0.2602,
717
+ "step": 1000
718
+ },
719
+ {
720
+ "epoch": 1.8913857677902621,
721
+ "grad_norm": 1.030111452172985,
722
+ "learning_rate": 1.9826386166756796e-06,
723
+ "loss": 0.2625,
724
+ "step": 1010
725
+ },
726
+ {
727
+ "epoch": 1.9101123595505618,
728
+ "grad_norm": 1.0304981637914168,
729
+ "learning_rate": 1.9391184277486046e-06,
730
+ "loss": 0.2616,
731
+ "step": 1020
732
+ },
733
+ {
734
+ "epoch": 1.9288389513108615,
735
+ "grad_norm": 1.1002315606948327,
736
+ "learning_rate": 1.8959441649037334e-06,
737
+ "loss": 0.2618,
738
+ "step": 1030
739
+ },
740
+ {
741
+ "epoch": 1.947565543071161,
742
+ "grad_norm": 1.0682674034690947,
743
+ "learning_rate": 1.8531342464947551e-06,
744
+ "loss": 0.2604,
745
+ "step": 1040
746
+ },
747
+ {
748
+ "epoch": 1.9662921348314608,
749
+ "grad_norm": 1.0285099387800412,
750
+ "learning_rate": 1.810706935444223e-06,
751
+ "loss": 0.2623,
752
+ "step": 1050
753
+ },
754
+ {
755
+ "epoch": 1.9850187265917603,
756
+ "grad_norm": 1.054687396839439,
757
+ "learning_rate": 1.7686803314525056e-06,
758
+ "loss": 0.264,
759
+ "step": 1060
760
+ },
761
+ {
762
+ "epoch": 2.0,
763
+ "eval_loss": 0.3330671787261963,
764
+ "eval_runtime": 50.16,
765
+ "eval_samples_per_second": 286.643,
766
+ "eval_steps_per_second": 1.136,
767
+ "step": 1068
768
+ },
769
+ {
770
+ "epoch": 2.0037453183520597,
771
+ "grad_norm": 1.7923902161169425,
772
+ "learning_rate": 1.7270723632763563e-06,
773
+ "loss": 0.2446,
774
+ "step": 1070
775
+ },
776
+ {
777
+ "epoch": 2.0224719101123596,
778
+ "grad_norm": 1.345237927622502,
779
+ "learning_rate": 1.685900781080428e-06,
780
+ "loss": 0.1907,
781
+ "step": 1080
782
+ },
783
+ {
784
+ "epoch": 2.041198501872659,
785
+ "grad_norm": 1.1496616768510104,
786
+ "learning_rate": 1.6451831488649562e-06,
787
+ "loss": 0.1874,
788
+ "step": 1090
789
+ },
790
+ {
791
+ "epoch": 2.059925093632959,
792
+ "grad_norm": 1.1107541934632752,
793
+ "learning_rate": 1.6049368369728748e-06,
794
+ "loss": 0.187,
795
+ "step": 1100
796
+ },
797
+ {
798
+ "epoch": 2.0786516853932584,
799
+ "grad_norm": 1.1294609243658884,
800
+ "learning_rate": 1.5651790146795434e-06,
801
+ "loss": 0.1861,
802
+ "step": 1110
803
+ },
804
+ {
805
+ "epoch": 2.097378277153558,
806
+ "grad_norm": 1.1064659786749327,
807
+ "learning_rate": 1.525926642868242e-06,
808
+ "loss": 0.188,
809
+ "step": 1120
810
+ },
811
+ {
812
+ "epoch": 2.1161048689138577,
813
+ "grad_norm": 1.1288942946219733,
814
+ "learning_rate": 1.4871964667945815e-06,
815
+ "loss": 0.1889,
816
+ "step": 1130
817
+ },
818
+ {
819
+ "epoch": 2.134831460674157,
820
+ "grad_norm": 1.1095107607344008,
821
+ "learning_rate": 1.4490050089428965e-06,
822
+ "loss": 0.1878,
823
+ "step": 1140
824
+ },
825
+ {
826
+ "epoch": 2.153558052434457,
827
+ "grad_norm": 1.1688843518004304,
828
+ "learning_rate": 1.411368561977662e-06,
829
+ "loss": 0.1873,
830
+ "step": 1150
831
+ },
832
+ {
833
+ "epoch": 2.1722846441947565,
834
+ "grad_norm": 1.1746086833216787,
835
+ "learning_rate": 1.3743031817929725e-06,
836
+ "loss": 0.1885,
837
+ "step": 1160
838
+ },
839
+ {
840
+ "epoch": 2.191011235955056,
841
+ "grad_norm": 1.0953314936943879,
842
+ "learning_rate": 1.337824680663016e-06,
843
+ "loss": 0.1918,
844
+ "step": 1170
845
+ },
846
+ {
847
+ "epoch": 2.209737827715356,
848
+ "grad_norm": 1.1591899466119513,
849
+ "learning_rate": 1.3019486204964737e-06,
850
+ "loss": 0.1883,
851
+ "step": 1180
852
+ },
853
+ {
854
+ "epoch": 2.2284644194756553,
855
+ "grad_norm": 1.1558485332053892,
856
+ "learning_rate": 1.2666903061977397e-06,
857
+ "loss": 0.1901,
858
+ "step": 1190
859
+ },
860
+ {
861
+ "epoch": 2.247191011235955,
862
+ "grad_norm": 1.2117954838055114,
863
+ "learning_rate": 1.2320647791377731e-06,
864
+ "loss": 0.1895,
865
+ "step": 1200
866
+ },
867
+ {
868
+ "epoch": 2.2659176029962547,
869
+ "grad_norm": 1.0645164422876823,
870
+ "learning_rate": 1.1980868107373687e-06,
871
+ "loss": 0.1863,
872
+ "step": 1210
873
+ },
874
+ {
875
+ "epoch": 2.284644194756554,
876
+ "grad_norm": 1.1541528576196018,
877
+ "learning_rate": 1.1647708961656036e-06,
878
+ "loss": 0.1901,
879
+ "step": 1220
880
+ },
881
+ {
882
+ "epoch": 2.303370786516854,
883
+ "grad_norm": 1.116106510953403,
884
+ "learning_rate": 1.1321312481561198e-06,
885
+ "loss": 0.1892,
886
+ "step": 1230
887
+ },
888
+ {
889
+ "epoch": 2.3220973782771535,
890
+ "grad_norm": 1.0597155426906926,
891
+ "learning_rate": 1.1001817909439065e-06,
892
+ "loss": 0.1894,
893
+ "step": 1240
894
+ },
895
+ {
896
+ "epoch": 2.3408239700374533,
897
+ "grad_norm": 1.1196874887948434,
898
+ "learning_rate": 1.0689361543251532e-06,
899
+ "loss": 0.1887,
900
+ "step": 1250
901
+ },
902
+ {
903
+ "epoch": 2.359550561797753,
904
+ "grad_norm": 1.1714322905126089,
905
+ "learning_rate": 1.038407667842705e-06,
906
+ "loss": 0.1864,
907
+ "step": 1260
908
+ },
909
+ {
910
+ "epoch": 2.3782771535580522,
911
+ "grad_norm": 1.0763451314249386,
912
+ "learning_rate": 1.008609355099621e-06,
913
+ "loss": 0.1864,
914
+ "step": 1270
915
+ },
916
+ {
917
+ "epoch": 2.397003745318352,
918
+ "grad_norm": 1.1473816461596407,
919
+ "learning_rate": 9.795539282032386e-07,
920
+ "loss": 0.1875,
921
+ "step": 1280
922
+ },
923
+ {
924
+ "epoch": 2.4157303370786516,
925
+ "grad_norm": 1.098908279814066,
926
+ "learning_rate": 9.512537823421229e-07,
927
+ "loss": 0.1864,
928
+ "step": 1290
929
+ },
930
+ {
931
+ "epoch": 2.4344569288389515,
932
+ "grad_norm": 1.1578303830285432,
933
+ "learning_rate": 9.237209904982213e-07,
934
+ "loss": 0.1904,
935
+ "step": 1300
936
+ },
937
+ {
938
+ "epoch": 2.453183520599251,
939
+ "grad_norm": 1.1404639700697865,
940
+ "learning_rate": 8.969672982964711e-07,
941
+ "loss": 0.1907,
942
+ "step": 1310
943
+ },
944
+ {
945
+ "epoch": 2.4719101123595504,
946
+ "grad_norm": 1.0825550585492165,
947
+ "learning_rate": 8.710041189940513e-07,
948
+ "loss": 0.1868,
949
+ "step": 1320
950
+ },
951
+ {
952
+ "epoch": 2.4906367041198503,
953
+ "grad_norm": 1.1503042083334585,
954
+ "learning_rate": 8.458425286114396e-07,
955
+ "loss": 0.189,
956
+ "step": 1330
957
+ },
958
+ {
959
+ "epoch": 2.5093632958801497,
960
+ "grad_norm": 1.1289267850787381,
961
+ "learning_rate": 8.214932612073207e-07,
962
+ "loss": 0.1891,
963
+ "step": 1340
964
+ },
965
+ {
966
+ "epoch": 2.5280898876404496,
967
+ "grad_norm": 1.0922707099906583,
968
+ "learning_rate": 7.979667042993847e-07,
969
+ "loss": 0.1882,
970
+ "step": 1350
971
+ },
972
+ {
973
+ "epoch": 2.546816479400749,
974
+ "grad_norm": 1.159472662881807,
975
+ "learning_rate": 7.752728944329658e-07,
976
+ "loss": 0.1884,
977
+ "step": 1360
978
+ },
979
+ {
980
+ "epoch": 2.5655430711610485,
981
+ "grad_norm": 1.096656880156706,
982
+ "learning_rate": 7.534215128993953e-07,
983
+ "loss": 0.1912,
984
+ "step": 1370
985
+ },
986
+ {
987
+ "epoch": 2.5842696629213484,
988
+ "grad_norm": 1.177067424925165,
989
+ "learning_rate": 7.324218816059202e-07,
990
+ "loss": 0.1869,
991
+ "step": 1380
992
+ },
993
+ {
994
+ "epoch": 2.602996254681648,
995
+ "grad_norm": 1.1433902131098264,
996
+ "learning_rate": 7.122829590989305e-07,
997
+ "loss": 0.1859,
998
+ "step": 1390
999
+ },
1000
+ {
1001
+ "epoch": 2.6217228464419478,
1002
+ "grad_norm": 1.0780282296557087,
1003
+ "learning_rate": 6.930133367421965e-07,
1004
+ "loss": 0.1903,
1005
+ "step": 1400
1006
+ },
1007
+ {
1008
+ "epoch": 2.640449438202247,
1009
+ "grad_norm": 1.1302075316778486,
1010
+ "learning_rate": 6.746212350517535e-07,
1011
+ "loss": 0.187,
1012
+ "step": 1410
1013
+ },
1014
+ {
1015
+ "epoch": 2.6591760299625467,
1016
+ "grad_norm": 1.1073095304447773,
1017
+ "learning_rate": 6.57114500188989e-07,
1018
+ "loss": 0.1886,
1019
+ "step": 1420
1020
+ },
1021
+ {
1022
+ "epoch": 2.6779026217228465,
1023
+ "grad_norm": 1.0420564202777807,
1024
+ "learning_rate": 6.405006006134285e-07,
1025
+ "loss": 0.1879,
1026
+ "step": 1430
1027
+ },
1028
+ {
1029
+ "epoch": 2.696629213483146,
1030
+ "grad_norm": 1.0777824438327903,
1031
+ "learning_rate": 6.247866238966579e-07,
1032
+ "loss": 0.1904,
1033
+ "step": 1440
1034
+ },
1035
+ {
1036
+ "epoch": 2.715355805243446,
1037
+ "grad_norm": 1.1121227385024828,
1038
+ "learning_rate": 6.099792736987272e-07,
1039
+ "loss": 0.1873,
1040
+ "step": 1450
1041
+ },
1042
+ {
1043
+ "epoch": 2.7340823970037453,
1044
+ "grad_norm": 1.109347730952044,
1045
+ "learning_rate": 5.96084866908337e-07,
1046
+ "loss": 0.1897,
1047
+ "step": 1460
1048
+ },
1049
+ {
1050
+ "epoch": 2.752808988764045,
1051
+ "grad_norm": 1.131219956309559,
1052
+ "learning_rate": 5.831093309480244e-07,
1053
+ "loss": 0.1848,
1054
+ "step": 1470
1055
+ },
1056
+ {
1057
+ "epoch": 2.7715355805243447,
1058
+ "grad_norm": 1.0563106661530495,
1059
+ "learning_rate": 5.710582012454928e-07,
1060
+ "loss": 0.1862,
1061
+ "step": 1480
1062
+ },
1063
+ {
1064
+ "epoch": 2.790262172284644,
1065
+ "grad_norm": 1.1800848608197825,
1066
+ "learning_rate": 5.599366188721713e-07,
1067
+ "loss": 0.1878,
1068
+ "step": 1490
1069
+ },
1070
+ {
1071
+ "epoch": 2.808988764044944,
1072
+ "grad_norm": 1.1143488700250004,
1073
+ "learning_rate": 5.497493283500105e-07,
1074
+ "loss": 0.1875,
1075
+ "step": 1500
1076
+ },
1077
+ {
1078
+ "epoch": 2.8277153558052435,
1079
+ "grad_norm": 1.0433720861256908,
1080
+ "learning_rate": 5.405006756274435e-07,
1081
+ "loss": 0.1872,
1082
+ "step": 1510
1083
+ },
1084
+ {
1085
+ "epoch": 2.846441947565543,
1086
+ "grad_norm": 1.1343560438226763,
1087
+ "learning_rate": 5.321946062253841e-07,
1088
+ "loss": 0.1894,
1089
+ "step": 1520
1090
+ },
1091
+ {
1092
+ "epoch": 2.865168539325843,
1093
+ "grad_norm": 1.1296113946372626,
1094
+ "learning_rate": 5.248346635540485e-07,
1095
+ "loss": 0.1864,
1096
+ "step": 1530
1097
+ },
1098
+ {
1099
+ "epoch": 2.8838951310861423,
1100
+ "grad_norm": 1.1286259876244906,
1101
+ "learning_rate": 5.184239874013167e-07,
1102
+ "loss": 0.1893,
1103
+ "step": 1540
1104
+ },
1105
+ {
1106
+ "epoch": 2.902621722846442,
1107
+ "grad_norm": 1.079795528012858,
1108
+ "learning_rate": 5.129653125932872e-07,
1109
+ "loss": 0.1867,
1110
+ "step": 1550
1111
+ },
1112
+ {
1113
+ "epoch": 2.9213483146067416,
1114
+ "grad_norm": 1.1367094539661884,
1115
+ "learning_rate": 5.084609678275833e-07,
1116
+ "loss": 0.1913,
1117
+ "step": 1560
1118
+ },
1119
+ {
1120
+ "epoch": 2.940074906367041,
1121
+ "grad_norm": 1.1317799697421957,
1122
+ "learning_rate": 5.049128746799206e-07,
1123
+ "loss": 0.1874,
1124
+ "step": 1570
1125
+ },
1126
+ {
1127
+ "epoch": 2.958801498127341,
1128
+ "grad_norm": 1.0575396751944557,
1129
+ "learning_rate": 5.023225467843537e-07,
1130
+ "loss": 0.1868,
1131
+ "step": 1580
1132
+ },
1133
+ {
1134
+ "epoch": 2.9775280898876404,
1135
+ "grad_norm": 1.0774002831939866,
1136
+ "learning_rate": 5.006910891875522e-07,
1137
+ "loss": 0.1875,
1138
+ "step": 1590
1139
+ },
1140
+ {
1141
+ "epoch": 2.9962546816479403,
1142
+ "grad_norm": 1.0987879465354378,
1143
+ "learning_rate": 5.00019197877381e-07,
1144
+ "loss": 0.1874,
1145
+ "step": 1600
1146
+ },
1147
+ {
1148
+ "epoch": 3.0,
1149
+ "eval_loss": 0.3581169545650482,
1150
+ "eval_runtime": 55.9282,
1151
+ "eval_samples_per_second": 257.08,
1152
+ "eval_steps_per_second": 1.019,
1153
+ "step": 1602
1154
+ },
1155
+ {
1156
+ "epoch": 3.0,
1157
+ "step": 1602,
1158
+ "total_flos": 2683409667194880.0,
1159
+ "train_loss": 0.2738360005445992,
1160
+ "train_runtime": 9858.4557,
1161
+ "train_samples_per_second": 83.126,
1162
+ "train_steps_per_second": 0.163
1163
+ }
1164
+ ],
1165
+ "logging_steps": 10,
1166
+ "max_steps": 1602,
1167
+ "num_input_tokens_seen": 0,
1168
+ "num_train_epochs": 3,
1169
+ "save_steps": 500,
1170
+ "stateful_callbacks": {
1171
+ "TrainerControl": {
1172
+ "args": {
1173
+ "should_epoch_stop": false,
1174
+ "should_evaluate": false,
1175
+ "should_log": false,
1176
+ "should_save": true,
1177
+ "should_training_stop": true
1178
+ },
1179
+ "attributes": {}
1180
+ }
1181
+ },
1182
+ "total_flos": 2683409667194880.0,
1183
+ "train_batch_size": 16,
1184
+ "trial_name": null,
1185
+ "trial_params": null
1186
+ }
training_eval_loss.png ADDED
training_loss.png ADDED