File size: 9,356 Bytes
f118752
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
{
  "best_metric": 0.8734126984126984,
  "best_model_checkpoint": "21BAI1229/checkpoint-474",
  "epoch": 19.746835443037973,
  "eval_steps": 500,
  "global_step": 780,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.9873417721518988,
      "grad_norm": 11.754476547241211,
      "learning_rate": 2.5e-05,
      "loss": 2.6034,
      "step": 39
    },
    {
      "epoch": 0.9873417721518988,
      "eval_accuracy": 0.451984126984127,
      "eval_loss": 2.054410696029663,
      "eval_runtime": 36.1954,
      "eval_samples_per_second": 69.622,
      "eval_steps_per_second": 1.105,
      "step": 39
    },
    {
      "epoch": 2.0,
      "grad_norm": 7.275434970855713,
      "learning_rate": 4.992877492877493e-05,
      "loss": 1.4429,
      "step": 79
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.7849206349206349,
      "eval_loss": 0.7735527157783508,
      "eval_runtime": 35.4184,
      "eval_samples_per_second": 71.149,
      "eval_steps_per_second": 1.129,
      "step": 79
    },
    {
      "epoch": 2.9873417721518987,
      "grad_norm": 7.623991012573242,
      "learning_rate": 4.7150997150997157e-05,
      "loss": 0.8307,
      "step": 118
    },
    {
      "epoch": 2.9873417721518987,
      "eval_accuracy": 0.8412698412698413,
      "eval_loss": 0.5455929636955261,
      "eval_runtime": 35.3707,
      "eval_samples_per_second": 71.245,
      "eval_steps_per_second": 1.131,
      "step": 118
    },
    {
      "epoch": 4.0,
      "grad_norm": 8.973851203918457,
      "learning_rate": 4.4301994301994304e-05,
      "loss": 0.6814,
      "step": 158
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.8515873015873016,
      "eval_loss": 0.48805657029151917,
      "eval_runtime": 35.4085,
      "eval_samples_per_second": 71.169,
      "eval_steps_per_second": 1.13,
      "step": 158
    },
    {
      "epoch": 4.987341772151899,
      "grad_norm": 8.185949325561523,
      "learning_rate": 4.152421652421652e-05,
      "loss": 0.6199,
      "step": 197
    },
    {
      "epoch": 4.987341772151899,
      "eval_accuracy": 0.8527777777777777,
      "eval_loss": 0.46135592460632324,
      "eval_runtime": 35.2536,
      "eval_samples_per_second": 71.482,
      "eval_steps_per_second": 1.135,
      "step": 197
    },
    {
      "epoch": 6.0,
      "grad_norm": 11.136569023132324,
      "learning_rate": 3.867521367521368e-05,
      "loss": 0.5578,
      "step": 237
    },
    {
      "epoch": 6.0,
      "eval_accuracy": 0.8615079365079366,
      "eval_loss": 0.44191327691078186,
      "eval_runtime": 35.2038,
      "eval_samples_per_second": 71.583,
      "eval_steps_per_second": 1.136,
      "step": 237
    },
    {
      "epoch": 6.987341772151899,
      "grad_norm": 6.935160160064697,
      "learning_rate": 3.58974358974359e-05,
      "loss": 0.5198,
      "step": 276
    },
    {
      "epoch": 6.987341772151899,
      "eval_accuracy": 0.8603174603174604,
      "eval_loss": 0.4485108256340027,
      "eval_runtime": 35.2921,
      "eval_samples_per_second": 71.404,
      "eval_steps_per_second": 1.133,
      "step": 276
    },
    {
      "epoch": 8.0,
      "grad_norm": 7.163381576538086,
      "learning_rate": 3.304843304843305e-05,
      "loss": 0.4811,
      "step": 316
    },
    {
      "epoch": 8.0,
      "eval_accuracy": 0.8658730158730159,
      "eval_loss": 0.4355041980743408,
      "eval_runtime": 35.4396,
      "eval_samples_per_second": 71.107,
      "eval_steps_per_second": 1.129,
      "step": 316
    },
    {
      "epoch": 8.987341772151899,
      "grad_norm": 7.22255277633667,
      "learning_rate": 3.0270655270655275e-05,
      "loss": 0.4568,
      "step": 355
    },
    {
      "epoch": 8.987341772151899,
      "eval_accuracy": 0.8650793650793651,
      "eval_loss": 0.4182125926017761,
      "eval_runtime": 35.5074,
      "eval_samples_per_second": 70.971,
      "eval_steps_per_second": 1.127,
      "step": 355
    },
    {
      "epoch": 10.0,
      "grad_norm": 7.7428879737854,
      "learning_rate": 2.7421652421652423e-05,
      "loss": 0.4268,
      "step": 395
    },
    {
      "epoch": 10.0,
      "eval_accuracy": 0.8702380952380953,
      "eval_loss": 0.4093915522098541,
      "eval_runtime": 35.1709,
      "eval_samples_per_second": 71.65,
      "eval_steps_per_second": 1.137,
      "step": 395
    },
    {
      "epoch": 10.987341772151899,
      "grad_norm": 8.56812572479248,
      "learning_rate": 2.4643874643874645e-05,
      "loss": 0.4281,
      "step": 434
    },
    {
      "epoch": 10.987341772151899,
      "eval_accuracy": 0.8706349206349207,
      "eval_loss": 0.41577932238578796,
      "eval_runtime": 35.2893,
      "eval_samples_per_second": 71.41,
      "eval_steps_per_second": 1.133,
      "step": 434
    },
    {
      "epoch": 12.0,
      "grad_norm": 9.711762428283691,
      "learning_rate": 2.1794871794871795e-05,
      "loss": 0.4143,
      "step": 474
    },
    {
      "epoch": 12.0,
      "eval_accuracy": 0.8734126984126984,
      "eval_loss": 0.40782999992370605,
      "eval_runtime": 35.0211,
      "eval_samples_per_second": 71.957,
      "eval_steps_per_second": 1.142,
      "step": 474
    },
    {
      "epoch": 12.987341772151899,
      "grad_norm": 7.874723434448242,
      "learning_rate": 1.9017094017094017e-05,
      "loss": 0.4009,
      "step": 513
    },
    {
      "epoch": 12.987341772151899,
      "eval_accuracy": 0.8714285714285714,
      "eval_loss": 0.4066493511199951,
      "eval_runtime": 35.2449,
      "eval_samples_per_second": 71.5,
      "eval_steps_per_second": 1.135,
      "step": 513
    },
    {
      "epoch": 14.0,
      "grad_norm": 8.416353225708008,
      "learning_rate": 1.6168091168091168e-05,
      "loss": 0.3642,
      "step": 553
    },
    {
      "epoch": 14.0,
      "eval_accuracy": 0.8682539682539683,
      "eval_loss": 0.4131360352039337,
      "eval_runtime": 35.3914,
      "eval_samples_per_second": 71.204,
      "eval_steps_per_second": 1.13,
      "step": 553
    },
    {
      "epoch": 14.987341772151899,
      "grad_norm": 8.845190048217773,
      "learning_rate": 1.3390313390313392e-05,
      "loss": 0.3659,
      "step": 592
    },
    {
      "epoch": 14.987341772151899,
      "eval_accuracy": 0.8726190476190476,
      "eval_loss": 0.40469926595687866,
      "eval_runtime": 35.2434,
      "eval_samples_per_second": 71.503,
      "eval_steps_per_second": 1.135,
      "step": 592
    },
    {
      "epoch": 16.0,
      "grad_norm": 7.056828022003174,
      "learning_rate": 1.0541310541310543e-05,
      "loss": 0.3487,
      "step": 632
    },
    {
      "epoch": 16.0,
      "eval_accuracy": 0.871031746031746,
      "eval_loss": 0.4053677022457123,
      "eval_runtime": 35.2106,
      "eval_samples_per_second": 71.569,
      "eval_steps_per_second": 1.136,
      "step": 632
    },
    {
      "epoch": 16.9873417721519,
      "grad_norm": 7.8862199783325195,
      "learning_rate": 7.763532763532765e-06,
      "loss": 0.35,
      "step": 671
    },
    {
      "epoch": 16.9873417721519,
      "eval_accuracy": 0.8722222222222222,
      "eval_loss": 0.41073036193847656,
      "eval_runtime": 35.125,
      "eval_samples_per_second": 71.744,
      "eval_steps_per_second": 1.139,
      "step": 671
    },
    {
      "epoch": 18.0,
      "grad_norm": 9.344978332519531,
      "learning_rate": 4.914529914529915e-06,
      "loss": 0.3291,
      "step": 711
    },
    {
      "epoch": 18.0,
      "eval_accuracy": 0.8698412698412699,
      "eval_loss": 0.40985915064811707,
      "eval_runtime": 35.2658,
      "eval_samples_per_second": 71.457,
      "eval_steps_per_second": 1.134,
      "step": 711
    },
    {
      "epoch": 18.9873417721519,
      "grad_norm": 6.548698902130127,
      "learning_rate": 2.136752136752137e-06,
      "loss": 0.338,
      "step": 750
    },
    {
      "epoch": 18.9873417721519,
      "eval_accuracy": 0.8718253968253968,
      "eval_loss": 0.40625905990600586,
      "eval_runtime": 35.4023,
      "eval_samples_per_second": 71.182,
      "eval_steps_per_second": 1.13,
      "step": 750
    },
    {
      "epoch": 19.746835443037973,
      "grad_norm": 6.30403470993042,
      "learning_rate": 0.0,
      "loss": 0.3419,
      "step": 780
    },
    {
      "epoch": 19.746835443037973,
      "eval_accuracy": 0.8702380952380953,
      "eval_loss": 0.4066447913646698,
      "eval_runtime": 35.3364,
      "eval_samples_per_second": 71.315,
      "eval_steps_per_second": 1.132,
      "step": 780
    },
    {
      "epoch": 19.746835443037973,
      "step": 780,
      "total_flos": 1.5428282771770638e+19,
      "train_loss": 0.6176073722350292,
      "train_runtime": 7965.5555,
      "train_samples_per_second": 25.309,
      "train_steps_per_second": 0.098
    }
  ],
  "logging_steps": 500,
  "max_steps": 780,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 20,
  "save_steps": 500,
  "stateful_callbacks": {
    "TrainerControl": {
      "args": {
        "should_epoch_stop": false,
        "should_evaluate": false,
        "should_log": false,
        "should_save": true,
        "should_training_stop": true
      },
      "attributes": {}
    }
  },
  "total_flos": 1.5428282771770638e+19,
  "train_batch_size": 64,
  "trial_name": null,
  "trial_params": null
}