File size: 11,422 Bytes
87f52e1
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
{
  "best_metric": 0.13810816407203674,
  "best_model_checkpoint": "beard detection/checkpoint-792",
  "epoch": 44.0,
  "eval_steps": 500,
  "global_step": 792,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 1.0,
      "eval_accuracy": 0.821522309711286,
      "eval_loss": 0.4623703360557556,
      "eval_runtime": 15.5872,
      "eval_samples_per_second": 48.886,
      "eval_steps_per_second": 3.079,
      "step": 18
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.8595800524934383,
      "eval_loss": 0.3484641909599304,
      "eval_runtime": 16.0868,
      "eval_samples_per_second": 47.368,
      "eval_steps_per_second": 2.984,
      "step": 36
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.8989501312335958,
      "eval_loss": 0.23234562575817108,
      "eval_runtime": 15.6679,
      "eval_samples_per_second": 48.635,
      "eval_steps_per_second": 3.064,
      "step": 54
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.9291338582677166,
      "eval_loss": 0.19474641978740692,
      "eval_runtime": 15.5907,
      "eval_samples_per_second": 48.875,
      "eval_steps_per_second": 3.079,
      "step": 72
    },
    {
      "epoch": 5.0,
      "eval_accuracy": 0.9330708661417323,
      "eval_loss": 0.17998209595680237,
      "eval_runtime": 15.6016,
      "eval_samples_per_second": 48.841,
      "eval_steps_per_second": 3.077,
      "step": 90
    },
    {
      "epoch": 6.0,
      "eval_accuracy": 0.937007874015748,
      "eval_loss": 0.17380793392658234,
      "eval_runtime": 15.5655,
      "eval_samples_per_second": 48.954,
      "eval_steps_per_second": 3.084,
      "step": 108
    },
    {
      "epoch": 7.0,
      "eval_accuracy": 0.9343832020997376,
      "eval_loss": 0.1779448390007019,
      "eval_runtime": 15.5371,
      "eval_samples_per_second": 49.044,
      "eval_steps_per_second": 3.089,
      "step": 126
    },
    {
      "epoch": 8.0,
      "eval_accuracy": 0.9409448818897638,
      "eval_loss": 0.17088069021701813,
      "eval_runtime": 15.4793,
      "eval_samples_per_second": 49.227,
      "eval_steps_per_second": 3.101,
      "step": 144
    },
    {
      "epoch": 9.0,
      "eval_accuracy": 0.9422572178477691,
      "eval_loss": 0.16723193228244781,
      "eval_runtime": 15.4321,
      "eval_samples_per_second": 49.378,
      "eval_steps_per_second": 3.11,
      "step": 162
    },
    {
      "epoch": 10.0,
      "eval_accuracy": 0.9422572178477691,
      "eval_loss": 0.16475225985050201,
      "eval_runtime": 15.6535,
      "eval_samples_per_second": 48.679,
      "eval_steps_per_second": 3.066,
      "step": 180
    },
    {
      "epoch": 11.0,
      "eval_accuracy": 0.9435695538057742,
      "eval_loss": 0.1620875746011734,
      "eval_runtime": 15.5668,
      "eval_samples_per_second": 48.95,
      "eval_steps_per_second": 3.083,
      "step": 198
    },
    {
      "epoch": 12.0,
      "eval_accuracy": 0.9435695538057742,
      "eval_loss": 0.16018643975257874,
      "eval_runtime": 15.6106,
      "eval_samples_per_second": 48.813,
      "eval_steps_per_second": 3.075,
      "step": 216
    },
    {
      "epoch": 13.0,
      "eval_accuracy": 0.9435695538057742,
      "eval_loss": 0.160698801279068,
      "eval_runtime": 15.3643,
      "eval_samples_per_second": 49.596,
      "eval_steps_per_second": 3.124,
      "step": 234
    },
    {
      "epoch": 14.0,
      "eval_accuracy": 0.9435695538057742,
      "eval_loss": 0.1587902307510376,
      "eval_runtime": 15.4701,
      "eval_samples_per_second": 49.256,
      "eval_steps_per_second": 3.103,
      "step": 252
    },
    {
      "epoch": 15.0,
      "eval_accuracy": 0.9435695538057742,
      "eval_loss": 0.1586388796567917,
      "eval_runtime": 15.979,
      "eval_samples_per_second": 47.688,
      "eval_steps_per_second": 3.004,
      "step": 270
    },
    {
      "epoch": 16.0,
      "eval_accuracy": 0.9448818897637795,
      "eval_loss": 0.15598240494728088,
      "eval_runtime": 15.4614,
      "eval_samples_per_second": 49.284,
      "eval_steps_per_second": 3.105,
      "step": 288
    },
    {
      "epoch": 17.0,
      "eval_accuracy": 0.9448818897637795,
      "eval_loss": 0.15293540060520172,
      "eval_runtime": 15.5549,
      "eval_samples_per_second": 48.988,
      "eval_steps_per_second": 3.086,
      "step": 306
    },
    {
      "epoch": 18.0,
      "eval_accuracy": 0.9461942257217848,
      "eval_loss": 0.1483953446149826,
      "eval_runtime": 15.5258,
      "eval_samples_per_second": 49.08,
      "eval_steps_per_second": 3.092,
      "step": 324
    },
    {
      "epoch": 19.0,
      "eval_accuracy": 0.9448818897637795,
      "eval_loss": 0.14892004430294037,
      "eval_runtime": 15.383,
      "eval_samples_per_second": 49.535,
      "eval_steps_per_second": 3.12,
      "step": 342
    },
    {
      "epoch": 20.0,
      "eval_accuracy": 0.9448818897637795,
      "eval_loss": 0.14962303638458252,
      "eval_runtime": 15.5979,
      "eval_samples_per_second": 48.853,
      "eval_steps_per_second": 3.077,
      "step": 360
    },
    {
      "epoch": 21.0,
      "eval_accuracy": 0.9448818897637795,
      "eval_loss": 0.14834122359752655,
      "eval_runtime": 15.2733,
      "eval_samples_per_second": 49.891,
      "eval_steps_per_second": 3.143,
      "step": 378
    },
    {
      "epoch": 22.0,
      "eval_accuracy": 0.9488188976377953,
      "eval_loss": 0.1453154981136322,
      "eval_runtime": 15.5367,
      "eval_samples_per_second": 49.045,
      "eval_steps_per_second": 3.089,
      "step": 396
    },
    {
      "epoch": 23.0,
      "eval_accuracy": 0.94750656167979,
      "eval_loss": 0.14801156520843506,
      "eval_runtime": 15.2319,
      "eval_samples_per_second": 50.027,
      "eval_steps_per_second": 3.151,
      "step": 414
    },
    {
      "epoch": 24.0,
      "eval_accuracy": 0.9448818897637795,
      "eval_loss": 0.14965900778770447,
      "eval_runtime": 15.5253,
      "eval_samples_per_second": 49.081,
      "eval_steps_per_second": 3.092,
      "step": 432
    },
    {
      "epoch": 25.0,
      "eval_accuracy": 0.9461942257217848,
      "eval_loss": 0.14808818697929382,
      "eval_runtime": 15.4954,
      "eval_samples_per_second": 49.176,
      "eval_steps_per_second": 3.098,
      "step": 450
    },
    {
      "epoch": 26.0,
      "eval_accuracy": 0.9461942257217848,
      "eval_loss": 0.14772780239582062,
      "eval_runtime": 15.6303,
      "eval_samples_per_second": 48.751,
      "eval_steps_per_second": 3.071,
      "step": 468
    },
    {
      "epoch": 27.0,
      "eval_accuracy": 0.9488188976377953,
      "eval_loss": 0.14494165778160095,
      "eval_runtime": 15.3557,
      "eval_samples_per_second": 49.623,
      "eval_steps_per_second": 3.126,
      "step": 486
    },
    {
      "epoch": 27.77777777777778,
      "grad_norm": 1.454528570175171,
      "learning_rate": 4.705882352941176e-07,
      "loss": 0.2091,
      "step": 500
    },
    {
      "epoch": 28.0,
      "eval_accuracy": 0.9461942257217848,
      "eval_loss": 0.14676755666732788,
      "eval_runtime": 15.271,
      "eval_samples_per_second": 49.899,
      "eval_steps_per_second": 3.143,
      "step": 504
    },
    {
      "epoch": 29.0,
      "eval_accuracy": 0.9488188976377953,
      "eval_loss": 0.14510495960712433,
      "eval_runtime": 15.5258,
      "eval_samples_per_second": 49.079,
      "eval_steps_per_second": 3.092,
      "step": 522
    },
    {
      "epoch": 30.0,
      "eval_accuracy": 0.9514435695538058,
      "eval_loss": 0.14374305307865143,
      "eval_runtime": 15.5529,
      "eval_samples_per_second": 48.994,
      "eval_steps_per_second": 3.086,
      "step": 540
    },
    {
      "epoch": 31.0,
      "eval_accuracy": 0.9501312335958005,
      "eval_loss": 0.14374108612537384,
      "eval_runtime": 15.2492,
      "eval_samples_per_second": 49.97,
      "eval_steps_per_second": 3.148,
      "step": 558
    },
    {
      "epoch": 32.0,
      "eval_accuracy": 0.9501312335958005,
      "eval_loss": 0.14367464184761047,
      "eval_runtime": 15.2728,
      "eval_samples_per_second": 49.893,
      "eval_steps_per_second": 3.143,
      "step": 576
    },
    {
      "epoch": 33.0,
      "eval_accuracy": 0.9501312335958005,
      "eval_loss": 0.14097823202610016,
      "eval_runtime": 15.4432,
      "eval_samples_per_second": 49.342,
      "eval_steps_per_second": 3.108,
      "step": 594
    },
    {
      "epoch": 34.0,
      "eval_accuracy": 0.9501312335958005,
      "eval_loss": 0.14191950857639313,
      "eval_runtime": 15.3388,
      "eval_samples_per_second": 49.678,
      "eval_steps_per_second": 3.129,
      "step": 612
    },
    {
      "epoch": 35.0,
      "eval_accuracy": 0.9501312335958005,
      "eval_loss": 0.1414215862751007,
      "eval_runtime": 15.9739,
      "eval_samples_per_second": 47.703,
      "eval_steps_per_second": 3.005,
      "step": 630
    },
    {
      "epoch": 36.0,
      "eval_accuracy": 0.9501312335958005,
      "eval_loss": 0.14236187934875488,
      "eval_runtime": 15.5397,
      "eval_samples_per_second": 49.036,
      "eval_steps_per_second": 3.089,
      "step": 648
    },
    {
      "epoch": 37.0,
      "eval_accuracy": 0.9501312335958005,
      "eval_loss": 0.14204008877277374,
      "eval_runtime": 15.3972,
      "eval_samples_per_second": 49.49,
      "eval_steps_per_second": 3.117,
      "step": 666
    },
    {
      "epoch": 38.0,
      "eval_accuracy": 0.9501312335958005,
      "eval_loss": 0.1410112977027893,
      "eval_runtime": 15.479,
      "eval_samples_per_second": 49.228,
      "eval_steps_per_second": 3.101,
      "step": 684
    },
    {
      "epoch": 39.0,
      "eval_accuracy": 0.9501312335958005,
      "eval_loss": 0.1409473717212677,
      "eval_runtime": 15.3208,
      "eval_samples_per_second": 49.736,
      "eval_steps_per_second": 3.133,
      "step": 702
    },
    {
      "epoch": 40.0,
      "eval_accuracy": 0.9514435695538058,
      "eval_loss": 0.13949158787727356,
      "eval_runtime": 15.5092,
      "eval_samples_per_second": 49.132,
      "eval_steps_per_second": 3.095,
      "step": 720
    },
    {
      "epoch": 41.0,
      "eval_accuracy": 0.952755905511811,
      "eval_loss": 0.13874106109142303,
      "eval_runtime": 15.6493,
      "eval_samples_per_second": 48.692,
      "eval_steps_per_second": 3.067,
      "step": 738
    },
    {
      "epoch": 42.0,
      "eval_accuracy": 0.952755905511811,
      "eval_loss": 0.13839222490787506,
      "eval_runtime": 15.5039,
      "eval_samples_per_second": 49.149,
      "eval_steps_per_second": 3.096,
      "step": 756
    },
    {
      "epoch": 43.0,
      "eval_accuracy": 0.9514435695538058,
      "eval_loss": 0.1389077603816986,
      "eval_runtime": 15.5822,
      "eval_samples_per_second": 48.902,
      "eval_steps_per_second": 3.08,
      "step": 774
    },
    {
      "epoch": 44.0,
      "eval_accuracy": 0.952755905511811,
      "eval_loss": 0.13810816407203674,
      "eval_runtime": 15.4669,
      "eval_samples_per_second": 49.267,
      "eval_steps_per_second": 3.103,
      "step": 792
    }
  ],
  "logging_steps": 500,
  "max_steps": 900,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 50,
  "save_steps": 500,
  "total_flos": 3.893817494154019e+18,
  "train_batch_size": 64,
  "trial_name": null,
  "trial_params": null
}