dkqjrm commited on
Commit
8474255
1 Parent(s): 56b49b2

End of training

Browse files
Files changed (3) hide show
  1. all_results.json +7 -0
  2. train_results.json +7 -0
  3. trainer_state.json +1033 -0
all_results.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 60.0,
3
+ "train_loss": 0.012766934969486334,
4
+ "train_runtime": 3693.8313,
5
+ "train_samples_per_second": 40.446,
6
+ "train_steps_per_second": 2.534
7
+ }
train_results.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 60.0,
3
+ "train_loss": 0.012766934969486334,
4
+ "train_runtime": 3693.8313,
5
+ "train_samples_per_second": 40.446,
6
+ "train_steps_per_second": 2.534
7
+ }
trainer_state.json ADDED
@@ -0,0 +1,1033 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 60.0,
5
+ "global_step": 9360,
6
+ "is_hyper_param_search": false,
7
+ "is_local_process_zero": true,
8
+ "is_world_process_zero": true,
9
+ "log_history": [
10
+ {
11
+ "epoch": 1.0,
12
+ "eval_accuracy": 0.51985559566787,
13
+ "eval_loss": 0.00757412426173687,
14
+ "eval_runtime": 4.16,
15
+ "eval_samples_per_second": 66.586,
16
+ "eval_steps_per_second": 8.413,
17
+ "step": 156
18
+ },
19
+ {
20
+ "best_epoch": 0,
21
+ "best_eval_accuracy": 0.51985559566787,
22
+ "epoch": 1.0,
23
+ "step": 156
24
+ },
25
+ {
26
+ "epoch": 2.0,
27
+ "eval_accuracy": 0.5342960288808665,
28
+ "eval_loss": 0.04179096594452858,
29
+ "eval_runtime": 4.2511,
30
+ "eval_samples_per_second": 65.159,
31
+ "eval_steps_per_second": 8.233,
32
+ "step": 312
33
+ },
34
+ {
35
+ "best_epoch": 1,
36
+ "best_eval_accuracy": 0.5342960288808665,
37
+ "epoch": 2.0,
38
+ "step": 312
39
+ },
40
+ {
41
+ "epoch": 3.0,
42
+ "eval_accuracy": 0.5054151624548736,
43
+ "eval_loss": 0.004435110837221146,
44
+ "eval_runtime": 4.2687,
45
+ "eval_samples_per_second": 64.891,
46
+ "eval_steps_per_second": 8.199,
47
+ "step": 468
48
+ },
49
+ {
50
+ "best_epoch": 1,
51
+ "best_eval_accuracy": 0.5342960288808665,
52
+ "epoch": 3.0,
53
+ "step": 468
54
+ },
55
+ {
56
+ "epoch": 3.21,
57
+ "learning_rate": 0.0028397435897435895,
58
+ "loss": 0.0669,
59
+ "step": 500
60
+ },
61
+ {
62
+ "epoch": 4.0,
63
+ "eval_accuracy": 0.4693140794223827,
64
+ "eval_loss": 0.01173881534487009,
65
+ "eval_runtime": 4.2726,
66
+ "eval_samples_per_second": 64.832,
67
+ "eval_steps_per_second": 8.192,
68
+ "step": 624
69
+ },
70
+ {
71
+ "best_epoch": 1,
72
+ "best_eval_accuracy": 0.5342960288808665,
73
+ "epoch": 4.0,
74
+ "step": 624
75
+ },
76
+ {
77
+ "epoch": 5.0,
78
+ "eval_accuracy": 0.4729241877256318,
79
+ "eval_loss": 0.033335305750370026,
80
+ "eval_runtime": 4.2774,
81
+ "eval_samples_per_second": 64.758,
82
+ "eval_steps_per_second": 8.182,
83
+ "step": 780
84
+ },
85
+ {
86
+ "best_epoch": 1,
87
+ "best_eval_accuracy": 0.5342960288808665,
88
+ "epoch": 5.0,
89
+ "step": 780
90
+ },
91
+ {
92
+ "epoch": 6.0,
93
+ "eval_accuracy": 0.4693140794223827,
94
+ "eval_loss": 0.0013900818303227425,
95
+ "eval_runtime": 4.2808,
96
+ "eval_samples_per_second": 64.708,
97
+ "eval_steps_per_second": 8.176,
98
+ "step": 936
99
+ },
100
+ {
101
+ "best_epoch": 1,
102
+ "best_eval_accuracy": 0.5342960288808665,
103
+ "epoch": 6.0,
104
+ "step": 936
105
+ },
106
+ {
107
+ "epoch": 6.41,
108
+ "learning_rate": 0.00267948717948718,
109
+ "loss": 0.0209,
110
+ "step": 1000
111
+ },
112
+ {
113
+ "epoch": 7.0,
114
+ "eval_accuracy": 0.4729241877256318,
115
+ "eval_loss": 0.0007993517792783678,
116
+ "eval_runtime": 4.3048,
117
+ "eval_samples_per_second": 64.346,
118
+ "eval_steps_per_second": 8.13,
119
+ "step": 1092
120
+ },
121
+ {
122
+ "best_epoch": 1,
123
+ "best_eval_accuracy": 0.5342960288808665,
124
+ "epoch": 7.0,
125
+ "step": 1092
126
+ },
127
+ {
128
+ "epoch": 8.0,
129
+ "eval_accuracy": 0.4729241877256318,
130
+ "eval_loss": 0.0030970817897468805,
131
+ "eval_runtime": 4.2737,
132
+ "eval_samples_per_second": 64.815,
133
+ "eval_steps_per_second": 8.19,
134
+ "step": 1248
135
+ },
136
+ {
137
+ "best_epoch": 1,
138
+ "best_eval_accuracy": 0.5342960288808665,
139
+ "epoch": 8.0,
140
+ "step": 1248
141
+ },
142
+ {
143
+ "epoch": 9.0,
144
+ "eval_accuracy": 0.4981949458483754,
145
+ "eval_loss": 0.004927648231387138,
146
+ "eval_runtime": 4.2737,
147
+ "eval_samples_per_second": 64.815,
148
+ "eval_steps_per_second": 8.19,
149
+ "step": 1404
150
+ },
151
+ {
152
+ "best_epoch": 1,
153
+ "best_eval_accuracy": 0.5342960288808665,
154
+ "epoch": 9.0,
155
+ "step": 1404
156
+ },
157
+ {
158
+ "epoch": 9.62,
159
+ "learning_rate": 0.0025192307692307693,
160
+ "loss": 0.0144,
161
+ "step": 1500
162
+ },
163
+ {
164
+ "epoch": 10.0,
165
+ "eval_accuracy": 0.4729241877256318,
166
+ "eval_loss": 0.0006902324385009706,
167
+ "eval_runtime": 4.2727,
168
+ "eval_samples_per_second": 64.83,
169
+ "eval_steps_per_second": 8.192,
170
+ "step": 1560
171
+ },
172
+ {
173
+ "best_epoch": 1,
174
+ "best_eval_accuracy": 0.5342960288808665,
175
+ "epoch": 10.0,
176
+ "step": 1560
177
+ },
178
+ {
179
+ "epoch": 11.0,
180
+ "eval_accuracy": 0.4693140794223827,
181
+ "eval_loss": 0.001355065149255097,
182
+ "eval_runtime": 4.3031,
183
+ "eval_samples_per_second": 64.372,
184
+ "eval_steps_per_second": 8.134,
185
+ "step": 1716
186
+ },
187
+ {
188
+ "best_epoch": 1,
189
+ "best_eval_accuracy": 0.5342960288808665,
190
+ "epoch": 11.0,
191
+ "step": 1716
192
+ },
193
+ {
194
+ "epoch": 12.0,
195
+ "eval_accuracy": 0.5054151624548736,
196
+ "eval_loss": 0.002226953860372305,
197
+ "eval_runtime": 4.3156,
198
+ "eval_samples_per_second": 64.186,
199
+ "eval_steps_per_second": 8.11,
200
+ "step": 1872
201
+ },
202
+ {
203
+ "best_epoch": 1,
204
+ "best_eval_accuracy": 0.5342960288808665,
205
+ "epoch": 12.0,
206
+ "step": 1872
207
+ },
208
+ {
209
+ "epoch": 12.82,
210
+ "learning_rate": 0.002358974358974359,
211
+ "loss": 0.0094,
212
+ "step": 2000
213
+ },
214
+ {
215
+ "epoch": 13.0,
216
+ "eval_accuracy": 0.4729241877256318,
217
+ "eval_loss": 0.0007688578334636986,
218
+ "eval_runtime": 4.2786,
219
+ "eval_samples_per_second": 64.74,
220
+ "eval_steps_per_second": 8.18,
221
+ "step": 2028
222
+ },
223
+ {
224
+ "best_epoch": 1,
225
+ "best_eval_accuracy": 0.5342960288808665,
226
+ "epoch": 13.0,
227
+ "step": 2028
228
+ },
229
+ {
230
+ "epoch": 14.0,
231
+ "eval_accuracy": 0.4729241877256318,
232
+ "eval_loss": 0.0011682923650369048,
233
+ "eval_runtime": 4.3112,
234
+ "eval_samples_per_second": 64.252,
235
+ "eval_steps_per_second": 8.118,
236
+ "step": 2184
237
+ },
238
+ {
239
+ "best_epoch": 1,
240
+ "best_eval_accuracy": 0.5342960288808665,
241
+ "epoch": 14.0,
242
+ "step": 2184
243
+ },
244
+ {
245
+ "epoch": 15.0,
246
+ "eval_accuracy": 0.4729241877256318,
247
+ "eval_loss": 0.0018351555336266756,
248
+ "eval_runtime": 4.3007,
249
+ "eval_samples_per_second": 64.409,
250
+ "eval_steps_per_second": 8.138,
251
+ "step": 2340
252
+ },
253
+ {
254
+ "best_epoch": 1,
255
+ "best_eval_accuracy": 0.5342960288808665,
256
+ "epoch": 15.0,
257
+ "step": 2340
258
+ },
259
+ {
260
+ "epoch": 16.0,
261
+ "eval_accuracy": 0.4729241877256318,
262
+ "eval_loss": 0.0007866995292715728,
263
+ "eval_runtime": 4.2927,
264
+ "eval_samples_per_second": 64.529,
265
+ "eval_steps_per_second": 8.153,
266
+ "step": 2496
267
+ },
268
+ {
269
+ "best_epoch": 1,
270
+ "best_eval_accuracy": 0.5342960288808665,
271
+ "epoch": 16.0,
272
+ "step": 2496
273
+ },
274
+ {
275
+ "epoch": 16.03,
276
+ "learning_rate": 0.0021987179487179486,
277
+ "loss": 0.0087,
278
+ "step": 2500
279
+ },
280
+ {
281
+ "epoch": 17.0,
282
+ "eval_accuracy": 0.4729241877256318,
283
+ "eval_loss": 0.001059322850778699,
284
+ "eval_runtime": 4.2897,
285
+ "eval_samples_per_second": 64.573,
286
+ "eval_steps_per_second": 8.159,
287
+ "step": 2652
288
+ },
289
+ {
290
+ "best_epoch": 1,
291
+ "best_eval_accuracy": 0.5342960288808665,
292
+ "epoch": 17.0,
293
+ "step": 2652
294
+ },
295
+ {
296
+ "epoch": 18.0,
297
+ "eval_accuracy": 0.4729241877256318,
298
+ "eval_loss": 0.0008964231819845736,
299
+ "eval_runtime": 4.2913,
300
+ "eval_samples_per_second": 64.549,
301
+ "eval_steps_per_second": 8.156,
302
+ "step": 2808
303
+ },
304
+ {
305
+ "best_epoch": 1,
306
+ "best_eval_accuracy": 0.5342960288808665,
307
+ "epoch": 18.0,
308
+ "step": 2808
309
+ },
310
+ {
311
+ "epoch": 19.0,
312
+ "eval_accuracy": 0.4729241877256318,
313
+ "eval_loss": 0.0009917899733409286,
314
+ "eval_runtime": 4.2906,
315
+ "eval_samples_per_second": 64.56,
316
+ "eval_steps_per_second": 8.157,
317
+ "step": 2964
318
+ },
319
+ {
320
+ "best_epoch": 1,
321
+ "best_eval_accuracy": 0.5342960288808665,
322
+ "epoch": 19.0,
323
+ "step": 2964
324
+ },
325
+ {
326
+ "epoch": 19.23,
327
+ "learning_rate": 0.0020384615384615385,
328
+ "loss": 0.0091,
329
+ "step": 3000
330
+ },
331
+ {
332
+ "epoch": 20.0,
333
+ "eval_accuracy": 0.4584837545126354,
334
+ "eval_loss": 0.002107406733557582,
335
+ "eval_runtime": 4.2956,
336
+ "eval_samples_per_second": 64.485,
337
+ "eval_steps_per_second": 8.148,
338
+ "step": 3120
339
+ },
340
+ {
341
+ "best_epoch": 1,
342
+ "best_eval_accuracy": 0.5342960288808665,
343
+ "epoch": 20.0,
344
+ "step": 3120
345
+ },
346
+ {
347
+ "epoch": 21.0,
348
+ "eval_accuracy": 0.4729241877256318,
349
+ "eval_loss": 0.0008094427757896483,
350
+ "eval_runtime": 4.3018,
351
+ "eval_samples_per_second": 64.392,
352
+ "eval_steps_per_second": 8.136,
353
+ "step": 3276
354
+ },
355
+ {
356
+ "best_epoch": 1,
357
+ "best_eval_accuracy": 0.5342960288808665,
358
+ "epoch": 21.0,
359
+ "step": 3276
360
+ },
361
+ {
362
+ "epoch": 22.0,
363
+ "eval_accuracy": 0.4729241877256318,
364
+ "eval_loss": 0.0010112057207152247,
365
+ "eval_runtime": 4.2947,
366
+ "eval_samples_per_second": 64.498,
367
+ "eval_steps_per_second": 8.15,
368
+ "step": 3432
369
+ },
370
+ {
371
+ "best_epoch": 1,
372
+ "best_eval_accuracy": 0.5342960288808665,
373
+ "epoch": 22.0,
374
+ "step": 3432
375
+ },
376
+ {
377
+ "epoch": 22.44,
378
+ "learning_rate": 0.0018782051282051281,
379
+ "loss": 0.0087,
380
+ "step": 3500
381
+ },
382
+ {
383
+ "epoch": 23.0,
384
+ "eval_accuracy": 0.4729241877256318,
385
+ "eval_loss": 0.0007026080274954438,
386
+ "eval_runtime": 4.2959,
387
+ "eval_samples_per_second": 64.48,
388
+ "eval_steps_per_second": 8.147,
389
+ "step": 3588
390
+ },
391
+ {
392
+ "best_epoch": 1,
393
+ "best_eval_accuracy": 0.5342960288808665,
394
+ "epoch": 23.0,
395
+ "step": 3588
396
+ },
397
+ {
398
+ "epoch": 24.0,
399
+ "eval_accuracy": 0.47653429602888087,
400
+ "eval_loss": 0.0012016486143693328,
401
+ "eval_runtime": 4.2934,
402
+ "eval_samples_per_second": 64.518,
403
+ "eval_steps_per_second": 8.152,
404
+ "step": 3744
405
+ },
406
+ {
407
+ "best_epoch": 1,
408
+ "best_eval_accuracy": 0.5342960288808665,
409
+ "epoch": 24.0,
410
+ "step": 3744
411
+ },
412
+ {
413
+ "epoch": 25.0,
414
+ "eval_accuracy": 0.4729241877256318,
415
+ "eval_loss": 0.0013125467812642455,
416
+ "eval_runtime": 4.2925,
417
+ "eval_samples_per_second": 64.531,
418
+ "eval_steps_per_second": 8.154,
419
+ "step": 3900
420
+ },
421
+ {
422
+ "best_epoch": 1,
423
+ "best_eval_accuracy": 0.5342960288808665,
424
+ "epoch": 25.0,
425
+ "step": 3900
426
+ },
427
+ {
428
+ "epoch": 25.64,
429
+ "learning_rate": 0.0017179487179487178,
430
+ "loss": 0.0088,
431
+ "step": 4000
432
+ },
433
+ {
434
+ "epoch": 26.0,
435
+ "eval_accuracy": 0.49097472924187724,
436
+ "eval_loss": 0.000969512271694839,
437
+ "eval_runtime": 4.2949,
438
+ "eval_samples_per_second": 64.495,
439
+ "eval_steps_per_second": 8.149,
440
+ "step": 4056
441
+ },
442
+ {
443
+ "best_epoch": 1,
444
+ "best_eval_accuracy": 0.5342960288808665,
445
+ "epoch": 26.0,
446
+ "step": 4056
447
+ },
448
+ {
449
+ "epoch": 27.0,
450
+ "eval_accuracy": 0.47653429602888087,
451
+ "eval_loss": 0.001213469309732318,
452
+ "eval_runtime": 4.2909,
453
+ "eval_samples_per_second": 64.556,
454
+ "eval_steps_per_second": 8.157,
455
+ "step": 4212
456
+ },
457
+ {
458
+ "best_epoch": 1,
459
+ "best_eval_accuracy": 0.5342960288808665,
460
+ "epoch": 27.0,
461
+ "step": 4212
462
+ },
463
+ {
464
+ "epoch": 28.0,
465
+ "eval_accuracy": 0.4729241877256318,
466
+ "eval_loss": 0.0011853750329464674,
467
+ "eval_runtime": 4.293,
468
+ "eval_samples_per_second": 64.524,
469
+ "eval_steps_per_second": 8.153,
470
+ "step": 4368
471
+ },
472
+ {
473
+ "best_epoch": 1,
474
+ "best_eval_accuracy": 0.5342960288808665,
475
+ "epoch": 28.0,
476
+ "step": 4368
477
+ },
478
+ {
479
+ "epoch": 28.85,
480
+ "learning_rate": 0.0015576923076923079,
481
+ "loss": 0.0087,
482
+ "step": 4500
483
+ },
484
+ {
485
+ "epoch": 29.0,
486
+ "eval_accuracy": 0.49097472924187724,
487
+ "eval_loss": 0.0012697704369202256,
488
+ "eval_runtime": 4.2941,
489
+ "eval_samples_per_second": 64.507,
490
+ "eval_steps_per_second": 8.151,
491
+ "step": 4524
492
+ },
493
+ {
494
+ "best_epoch": 1,
495
+ "best_eval_accuracy": 0.5342960288808665,
496
+ "epoch": 29.0,
497
+ "step": 4524
498
+ },
499
+ {
500
+ "epoch": 30.0,
501
+ "eval_accuracy": 0.4729241877256318,
502
+ "eval_loss": 0.0008673242991790175,
503
+ "eval_runtime": 4.2937,
504
+ "eval_samples_per_second": 64.513,
505
+ "eval_steps_per_second": 8.151,
506
+ "step": 4680
507
+ },
508
+ {
509
+ "best_epoch": 1,
510
+ "best_eval_accuracy": 0.5342960288808665,
511
+ "epoch": 30.0,
512
+ "step": 4680
513
+ },
514
+ {
515
+ "epoch": 31.0,
516
+ "eval_accuracy": 0.4729241877256318,
517
+ "eval_loss": 0.001185604021884501,
518
+ "eval_runtime": 4.2957,
519
+ "eval_samples_per_second": 64.484,
520
+ "eval_steps_per_second": 8.148,
521
+ "step": 4836
522
+ },
523
+ {
524
+ "best_epoch": 1,
525
+ "best_eval_accuracy": 0.5342960288808665,
526
+ "epoch": 31.0,
527
+ "step": 4836
528
+ },
529
+ {
530
+ "epoch": 32.0,
531
+ "eval_accuracy": 0.4729241877256318,
532
+ "eval_loss": 0.0006753391353413463,
533
+ "eval_runtime": 4.2927,
534
+ "eval_samples_per_second": 64.529,
535
+ "eval_steps_per_second": 8.153,
536
+ "step": 4992
537
+ },
538
+ {
539
+ "best_epoch": 1,
540
+ "best_eval_accuracy": 0.5342960288808665,
541
+ "epoch": 32.0,
542
+ "step": 4992
543
+ },
544
+ {
545
+ "epoch": 32.05,
546
+ "learning_rate": 0.0013974358974358976,
547
+ "loss": 0.0089,
548
+ "step": 5000
549
+ },
550
+ {
551
+ "epoch": 33.0,
552
+ "eval_accuracy": 0.4729241877256318,
553
+ "eval_loss": 0.0009245880064554513,
554
+ "eval_runtime": 4.2912,
555
+ "eval_samples_per_second": 64.55,
556
+ "eval_steps_per_second": 8.156,
557
+ "step": 5148
558
+ },
559
+ {
560
+ "best_epoch": 1,
561
+ "best_eval_accuracy": 0.5342960288808665,
562
+ "epoch": 33.0,
563
+ "step": 5148
564
+ },
565
+ {
566
+ "epoch": 34.0,
567
+ "eval_accuracy": 0.4729241877256318,
568
+ "eval_loss": 0.0008024222333915532,
569
+ "eval_runtime": 4.294,
570
+ "eval_samples_per_second": 64.509,
571
+ "eval_steps_per_second": 8.151,
572
+ "step": 5304
573
+ },
574
+ {
575
+ "best_epoch": 1,
576
+ "best_eval_accuracy": 0.5342960288808665,
577
+ "epoch": 34.0,
578
+ "step": 5304
579
+ },
580
+ {
581
+ "epoch": 35.0,
582
+ "eval_accuracy": 0.4729241877256318,
583
+ "eval_loss": 0.0007070166175253689,
584
+ "eval_runtime": 4.2926,
585
+ "eval_samples_per_second": 64.53,
586
+ "eval_steps_per_second": 8.154,
587
+ "step": 5460
588
+ },
589
+ {
590
+ "best_epoch": 1,
591
+ "best_eval_accuracy": 0.5342960288808665,
592
+ "epoch": 35.0,
593
+ "step": 5460
594
+ },
595
+ {
596
+ "epoch": 35.26,
597
+ "learning_rate": 0.0012371794871794872,
598
+ "loss": 0.0087,
599
+ "step": 5500
600
+ },
601
+ {
602
+ "epoch": 36.0,
603
+ "eval_accuracy": 0.4729241877256318,
604
+ "eval_loss": 0.0008649426745250821,
605
+ "eval_runtime": 4.2928,
606
+ "eval_samples_per_second": 64.527,
607
+ "eval_steps_per_second": 8.153,
608
+ "step": 5616
609
+ },
610
+ {
611
+ "best_epoch": 1,
612
+ "best_eval_accuracy": 0.5342960288808665,
613
+ "epoch": 36.0,
614
+ "step": 5616
615
+ },
616
+ {
617
+ "epoch": 37.0,
618
+ "eval_accuracy": 0.48014440433212996,
619
+ "eval_loss": 0.0006594746373593807,
620
+ "eval_runtime": 4.2922,
621
+ "eval_samples_per_second": 64.536,
622
+ "eval_steps_per_second": 8.154,
623
+ "step": 5772
624
+ },
625
+ {
626
+ "best_epoch": 1,
627
+ "best_eval_accuracy": 0.5342960288808665,
628
+ "epoch": 37.0,
629
+ "step": 5772
630
+ },
631
+ {
632
+ "epoch": 38.0,
633
+ "eval_accuracy": 0.4729241877256318,
634
+ "eval_loss": 0.0007161492831073701,
635
+ "eval_runtime": 4.2938,
636
+ "eval_samples_per_second": 64.512,
637
+ "eval_steps_per_second": 8.151,
638
+ "step": 5928
639
+ },
640
+ {
641
+ "best_epoch": 1,
642
+ "best_eval_accuracy": 0.5342960288808665,
643
+ "epoch": 38.0,
644
+ "step": 5928
645
+ },
646
+ {
647
+ "epoch": 38.46,
648
+ "learning_rate": 0.0010769230769230769,
649
+ "loss": 0.0093,
650
+ "step": 6000
651
+ },
652
+ {
653
+ "epoch": 39.0,
654
+ "eval_accuracy": 0.4729241877256318,
655
+ "eval_loss": 0.0006771078915335238,
656
+ "eval_runtime": 4.2959,
657
+ "eval_samples_per_second": 64.48,
658
+ "eval_steps_per_second": 8.147,
659
+ "step": 6084
660
+ },
661
+ {
662
+ "best_epoch": 1,
663
+ "best_eval_accuracy": 0.5342960288808665,
664
+ "epoch": 39.0,
665
+ "step": 6084
666
+ },
667
+ {
668
+ "epoch": 40.0,
669
+ "eval_accuracy": 0.4729241877256318,
670
+ "eval_loss": 0.0007806611829437315,
671
+ "eval_runtime": 4.2905,
672
+ "eval_samples_per_second": 64.561,
673
+ "eval_steps_per_second": 8.157,
674
+ "step": 6240
675
+ },
676
+ {
677
+ "best_epoch": 1,
678
+ "best_eval_accuracy": 0.5342960288808665,
679
+ "epoch": 40.0,
680
+ "step": 6240
681
+ },
682
+ {
683
+ "epoch": 41.0,
684
+ "eval_accuracy": 0.4729241877256318,
685
+ "eval_loss": 0.0011038266820833087,
686
+ "eval_runtime": 4.2933,
687
+ "eval_samples_per_second": 64.52,
688
+ "eval_steps_per_second": 8.152,
689
+ "step": 6396
690
+ },
691
+ {
692
+ "best_epoch": 1,
693
+ "best_eval_accuracy": 0.5342960288808665,
694
+ "epoch": 41.0,
695
+ "step": 6396
696
+ },
697
+ {
698
+ "epoch": 41.67,
699
+ "learning_rate": 0.0009166666666666668,
700
+ "loss": 0.0086,
701
+ "step": 6500
702
+ },
703
+ {
704
+ "epoch": 42.0,
705
+ "eval_accuracy": 0.4729241877256318,
706
+ "eval_loss": 0.0007803016342222691,
707
+ "eval_runtime": 4.2875,
708
+ "eval_samples_per_second": 64.607,
709
+ "eval_steps_per_second": 8.163,
710
+ "step": 6552
711
+ },
712
+ {
713
+ "best_epoch": 1,
714
+ "best_eval_accuracy": 0.5342960288808665,
715
+ "epoch": 42.0,
716
+ "step": 6552
717
+ },
718
+ {
719
+ "epoch": 43.0,
720
+ "eval_accuracy": 0.4729241877256318,
721
+ "eval_loss": 0.001678149332292378,
722
+ "eval_runtime": 4.2895,
723
+ "eval_samples_per_second": 64.577,
724
+ "eval_steps_per_second": 8.159,
725
+ "step": 6708
726
+ },
727
+ {
728
+ "best_epoch": 1,
729
+ "best_eval_accuracy": 0.5342960288808665,
730
+ "epoch": 43.0,
731
+ "step": 6708
732
+ },
733
+ {
734
+ "epoch": 44.0,
735
+ "eval_accuracy": 0.4729241877256318,
736
+ "eval_loss": 0.0008550164639018476,
737
+ "eval_runtime": 4.2923,
738
+ "eval_samples_per_second": 64.534,
739
+ "eval_steps_per_second": 8.154,
740
+ "step": 6864
741
+ },
742
+ {
743
+ "best_epoch": 1,
744
+ "best_eval_accuracy": 0.5342960288808665,
745
+ "epoch": 44.0,
746
+ "step": 6864
747
+ },
748
+ {
749
+ "epoch": 44.87,
750
+ "learning_rate": 0.0007564102564102564,
751
+ "loss": 0.0085,
752
+ "step": 7000
753
+ },
754
+ {
755
+ "epoch": 45.0,
756
+ "eval_accuracy": 0.4729241877256318,
757
+ "eval_loss": 0.0006565186777152121,
758
+ "eval_runtime": 4.288,
759
+ "eval_samples_per_second": 64.598,
760
+ "eval_steps_per_second": 8.162,
761
+ "step": 7020
762
+ },
763
+ {
764
+ "best_epoch": 1,
765
+ "best_eval_accuracy": 0.5342960288808665,
766
+ "epoch": 45.0,
767
+ "step": 7020
768
+ },
769
+ {
770
+ "epoch": 46.0,
771
+ "eval_accuracy": 0.4729241877256318,
772
+ "eval_loss": 0.0022354116663336754,
773
+ "eval_runtime": 4.292,
774
+ "eval_samples_per_second": 64.539,
775
+ "eval_steps_per_second": 8.155,
776
+ "step": 7176
777
+ },
778
+ {
779
+ "best_epoch": 1,
780
+ "best_eval_accuracy": 0.5342960288808665,
781
+ "epoch": 46.0,
782
+ "step": 7176
783
+ },
784
+ {
785
+ "epoch": 47.0,
786
+ "eval_accuracy": 0.4729241877256318,
787
+ "eval_loss": 0.000903658801689744,
788
+ "eval_runtime": 4.2892,
789
+ "eval_samples_per_second": 64.581,
790
+ "eval_steps_per_second": 8.16,
791
+ "step": 7332
792
+ },
793
+ {
794
+ "best_epoch": 1,
795
+ "best_eval_accuracy": 0.5342960288808665,
796
+ "epoch": 47.0,
797
+ "step": 7332
798
+ },
799
+ {
800
+ "epoch": 48.0,
801
+ "eval_accuracy": 0.4729241877256318,
802
+ "eval_loss": 0.0007766391499899328,
803
+ "eval_runtime": 4.2894,
804
+ "eval_samples_per_second": 64.577,
805
+ "eval_steps_per_second": 8.16,
806
+ "step": 7488
807
+ },
808
+ {
809
+ "best_epoch": 1,
810
+ "best_eval_accuracy": 0.5342960288808665,
811
+ "epoch": 48.0,
812
+ "step": 7488
813
+ },
814
+ {
815
+ "epoch": 48.08,
816
+ "learning_rate": 0.0005961538461538461,
817
+ "loss": 0.0087,
818
+ "step": 7500
819
+ },
820
+ {
821
+ "epoch": 49.0,
822
+ "eval_accuracy": 0.4729241877256318,
823
+ "eval_loss": 0.0007370923412963748,
824
+ "eval_runtime": 4.2874,
825
+ "eval_samples_per_second": 64.608,
826
+ "eval_steps_per_second": 8.163,
827
+ "step": 7644
828
+ },
829
+ {
830
+ "best_epoch": 1,
831
+ "best_eval_accuracy": 0.5342960288808665,
832
+ "epoch": 49.0,
833
+ "step": 7644
834
+ },
835
+ {
836
+ "epoch": 50.0,
837
+ "eval_accuracy": 0.4729241877256318,
838
+ "eval_loss": 0.000995746231637895,
839
+ "eval_runtime": 4.2916,
840
+ "eval_samples_per_second": 64.544,
841
+ "eval_steps_per_second": 8.155,
842
+ "step": 7800
843
+ },
844
+ {
845
+ "best_epoch": 1,
846
+ "best_eval_accuracy": 0.5342960288808665,
847
+ "epoch": 50.0,
848
+ "step": 7800
849
+ },
850
+ {
851
+ "epoch": 51.0,
852
+ "eval_accuracy": 0.4729241877256318,
853
+ "eval_loss": 0.0006885773618705571,
854
+ "eval_runtime": 4.2918,
855
+ "eval_samples_per_second": 64.542,
856
+ "eval_steps_per_second": 8.155,
857
+ "step": 7956
858
+ },
859
+ {
860
+ "best_epoch": 1,
861
+ "best_eval_accuracy": 0.5342960288808665,
862
+ "epoch": 51.0,
863
+ "step": 7956
864
+ },
865
+ {
866
+ "epoch": 51.28,
867
+ "learning_rate": 0.00043589743589743596,
868
+ "loss": 0.0084,
869
+ "step": 8000
870
+ },
871
+ {
872
+ "epoch": 52.0,
873
+ "eval_accuracy": 0.4729241877256318,
874
+ "eval_loss": 0.0012769113527610898,
875
+ "eval_runtime": 4.2932,
876
+ "eval_samples_per_second": 64.521,
877
+ "eval_steps_per_second": 8.152,
878
+ "step": 8112
879
+ },
880
+ {
881
+ "best_epoch": 1,
882
+ "best_eval_accuracy": 0.5342960288808665,
883
+ "epoch": 52.0,
884
+ "step": 8112
885
+ },
886
+ {
887
+ "epoch": 53.0,
888
+ "eval_accuracy": 0.4729241877256318,
889
+ "eval_loss": 0.0010381898609921336,
890
+ "eval_runtime": 4.293,
891
+ "eval_samples_per_second": 64.524,
892
+ "eval_steps_per_second": 8.153,
893
+ "step": 8268
894
+ },
895
+ {
896
+ "best_epoch": 1,
897
+ "best_eval_accuracy": 0.5342960288808665,
898
+ "epoch": 53.0,
899
+ "step": 8268
900
+ },
901
+ {
902
+ "epoch": 54.0,
903
+ "eval_accuracy": 0.4729241877256318,
904
+ "eval_loss": 0.0010403883643448353,
905
+ "eval_runtime": 4.2921,
906
+ "eval_samples_per_second": 64.537,
907
+ "eval_steps_per_second": 8.155,
908
+ "step": 8424
909
+ },
910
+ {
911
+ "best_epoch": 1,
912
+ "best_eval_accuracy": 0.5342960288808665,
913
+ "epoch": 54.0,
914
+ "step": 8424
915
+ },
916
+ {
917
+ "epoch": 54.49,
918
+ "learning_rate": 0.0002756410256410257,
919
+ "loss": 0.0083,
920
+ "step": 8500
921
+ },
922
+ {
923
+ "epoch": 55.0,
924
+ "eval_accuracy": 0.4729241877256318,
925
+ "eval_loss": 0.0006681613740511239,
926
+ "eval_runtime": 4.2933,
927
+ "eval_samples_per_second": 64.519,
928
+ "eval_steps_per_second": 8.152,
929
+ "step": 8580
930
+ },
931
+ {
932
+ "best_epoch": 1,
933
+ "best_eval_accuracy": 0.5342960288808665,
934
+ "epoch": 55.0,
935
+ "step": 8580
936
+ },
937
+ {
938
+ "epoch": 56.0,
939
+ "eval_accuracy": 0.4729241877256318,
940
+ "eval_loss": 0.0006536916480399668,
941
+ "eval_runtime": 4.2936,
942
+ "eval_samples_per_second": 64.514,
943
+ "eval_steps_per_second": 8.152,
944
+ "step": 8736
945
+ },
946
+ {
947
+ "best_epoch": 1,
948
+ "best_eval_accuracy": 0.5342960288808665,
949
+ "epoch": 56.0,
950
+ "step": 8736
951
+ },
952
+ {
953
+ "epoch": 57.0,
954
+ "eval_accuracy": 0.4729241877256318,
955
+ "eval_loss": 0.0007098207133822143,
956
+ "eval_runtime": 4.2932,
957
+ "eval_samples_per_second": 64.521,
958
+ "eval_steps_per_second": 8.152,
959
+ "step": 8892
960
+ },
961
+ {
962
+ "best_epoch": 1,
963
+ "best_eval_accuracy": 0.5342960288808665,
964
+ "epoch": 57.0,
965
+ "step": 8892
966
+ },
967
+ {
968
+ "epoch": 57.69,
969
+ "learning_rate": 0.0001153846153846154,
970
+ "loss": 0.0082,
971
+ "step": 9000
972
+ },
973
+ {
974
+ "epoch": 58.0,
975
+ "eval_accuracy": 0.4729241877256318,
976
+ "eval_loss": 0.0006599544431082904,
977
+ "eval_runtime": 4.2926,
978
+ "eval_samples_per_second": 64.529,
979
+ "eval_steps_per_second": 8.154,
980
+ "step": 9048
981
+ },
982
+ {
983
+ "best_epoch": 1,
984
+ "best_eval_accuracy": 0.5342960288808665,
985
+ "epoch": 58.0,
986
+ "step": 9048
987
+ },
988
+ {
989
+ "epoch": 59.0,
990
+ "eval_accuracy": 0.4729241877256318,
991
+ "eval_loss": 0.0006803370197303593,
992
+ "eval_runtime": 4.2908,
993
+ "eval_samples_per_second": 64.557,
994
+ "eval_steps_per_second": 8.157,
995
+ "step": 9204
996
+ },
997
+ {
998
+ "best_epoch": 1,
999
+ "best_eval_accuracy": 0.5342960288808665,
1000
+ "epoch": 59.0,
1001
+ "step": 9204
1002
+ },
1003
+ {
1004
+ "epoch": 60.0,
1005
+ "eval_accuracy": 0.4729241877256318,
1006
+ "eval_loss": 0.0007155144703574479,
1007
+ "eval_runtime": 4.292,
1008
+ "eval_samples_per_second": 64.538,
1009
+ "eval_steps_per_second": 8.155,
1010
+ "step": 9360
1011
+ },
1012
+ {
1013
+ "best_epoch": 1,
1014
+ "best_eval_accuracy": 0.5342960288808665,
1015
+ "epoch": 60.0,
1016
+ "step": 9360
1017
+ },
1018
+ {
1019
+ "epoch": 60.0,
1020
+ "step": 9360,
1021
+ "total_flos": 6.96152728406016e+16,
1022
+ "train_loss": 0.012766934969486334,
1023
+ "train_runtime": 3693.8313,
1024
+ "train_samples_per_second": 40.446,
1025
+ "train_steps_per_second": 2.534
1026
+ }
1027
+ ],
1028
+ "max_steps": 9360,
1029
+ "num_train_epochs": 60,
1030
+ "total_flos": 6.96152728406016e+16,
1031
+ "trial_name": null,
1032
+ "trial_params": null
1033
+ }