Onutoa commited on
Commit
e86d3e7
1 Parent(s): 695d88f

End of training

Browse files
Files changed (4) hide show
  1. all_results.json +7 -0
  2. best_results.json +5 -0
  3. train_results.json +7 -0
  4. trainer_state.json +1033 -0
all_results.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 60.0,
3
+ "train_loss": 0.34035047710451305,
4
+ "train_runtime": 7833.6103,
5
+ "train_samples_per_second": 19.072,
6
+ "train_steps_per_second": 1.195
7
+ }
best_results.json ADDED
@@ -0,0 +1,5 @@
 
 
 
 
 
 
1
+ {
2
+ "best_epoch": 50,
3
+ "best_eval_accuracy": 0.7509025270758123,
4
+ "epoch": 60.0
5
+ }
train_results.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 60.0,
3
+ "train_loss": 0.34035047710451305,
4
+ "train_runtime": 7833.6103,
5
+ "train_samples_per_second": 19.072,
6
+ "train_steps_per_second": 1.195
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": 0.5306859205776173,
13
+ "eval_loss": 0.4740632474422455,
14
+ "eval_runtime": 9.255,
15
+ "eval_samples_per_second": 29.93,
16
+ "eval_steps_per_second": 3.782,
17
+ "step": 156
18
+ },
19
+ {
20
+ "best_epoch": 0,
21
+ "best_eval_accuracy": 0.5306859205776173,
22
+ "epoch": 1.0,
23
+ "step": 156
24
+ },
25
+ {
26
+ "epoch": 2.0,
27
+ "eval_accuracy": 0.5090252707581228,
28
+ "eval_loss": 0.3849472999572754,
29
+ "eval_runtime": 9.2931,
30
+ "eval_samples_per_second": 29.807,
31
+ "eval_steps_per_second": 3.766,
32
+ "step": 312
33
+ },
34
+ {
35
+ "best_epoch": 0,
36
+ "best_eval_accuracy": 0.5306859205776173,
37
+ "epoch": 2.0,
38
+ "step": 312
39
+ },
40
+ {
41
+ "epoch": 3.0,
42
+ "eval_accuracy": 0.4729241877256318,
43
+ "eval_loss": 0.434469997882843,
44
+ "eval_runtime": 9.1899,
45
+ "eval_samples_per_second": 30.142,
46
+ "eval_steps_per_second": 3.809,
47
+ "step": 468
48
+ },
49
+ {
50
+ "best_epoch": 0,
51
+ "best_eval_accuracy": 0.5306859205776173,
52
+ "epoch": 3.0,
53
+ "step": 468
54
+ },
55
+ {
56
+ "epoch": 3.21,
57
+ "learning_rate": 0.0037863247863247863,
58
+ "loss": 0.5496,
59
+ "step": 500
60
+ },
61
+ {
62
+ "epoch": 4.0,
63
+ "eval_accuracy": 0.5234657039711191,
64
+ "eval_loss": 0.4748525321483612,
65
+ "eval_runtime": 9.2109,
66
+ "eval_samples_per_second": 30.073,
67
+ "eval_steps_per_second": 3.8,
68
+ "step": 624
69
+ },
70
+ {
71
+ "best_epoch": 0,
72
+ "best_eval_accuracy": 0.5306859205776173,
73
+ "epoch": 4.0,
74
+ "step": 624
75
+ },
76
+ {
77
+ "epoch": 5.0,
78
+ "eval_accuracy": 0.5342960288808665,
79
+ "eval_loss": 0.41381731629371643,
80
+ "eval_runtime": 9.2454,
81
+ "eval_samples_per_second": 29.961,
82
+ "eval_steps_per_second": 3.786,
83
+ "step": 780
84
+ },
85
+ {
86
+ "best_epoch": 4,
87
+ "best_eval_accuracy": 0.5342960288808665,
88
+ "epoch": 5.0,
89
+ "step": 780
90
+ },
91
+ {
92
+ "epoch": 6.0,
93
+ "eval_accuracy": 0.5631768953068592,
94
+ "eval_loss": 0.3598599135875702,
95
+ "eval_runtime": 3.6132,
96
+ "eval_samples_per_second": 76.664,
97
+ "eval_steps_per_second": 9.687,
98
+ "step": 936
99
+ },
100
+ {
101
+ "best_epoch": 5,
102
+ "best_eval_accuracy": 0.5631768953068592,
103
+ "epoch": 6.0,
104
+ "step": 936
105
+ },
106
+ {
107
+ "epoch": 6.41,
108
+ "learning_rate": 0.003572649572649573,
109
+ "loss": 0.4365,
110
+ "step": 1000
111
+ },
112
+ {
113
+ "epoch": 7.0,
114
+ "eval_accuracy": 0.5631768953068592,
115
+ "eval_loss": 0.395423024892807,
116
+ "eval_runtime": 9.3371,
117
+ "eval_samples_per_second": 29.666,
118
+ "eval_steps_per_second": 3.748,
119
+ "step": 1092
120
+ },
121
+ {
122
+ "best_epoch": 5,
123
+ "best_eval_accuracy": 0.5631768953068592,
124
+ "epoch": 7.0,
125
+ "step": 1092
126
+ },
127
+ {
128
+ "epoch": 8.0,
129
+ "eval_accuracy": 0.5018050541516246,
130
+ "eval_loss": 0.34552210569381714,
131
+ "eval_runtime": 9.3479,
132
+ "eval_samples_per_second": 29.632,
133
+ "eval_steps_per_second": 3.744,
134
+ "step": 1248
135
+ },
136
+ {
137
+ "best_epoch": 5,
138
+ "best_eval_accuracy": 0.5631768953068592,
139
+ "epoch": 8.0,
140
+ "step": 1248
141
+ },
142
+ {
143
+ "epoch": 9.0,
144
+ "eval_accuracy": 0.5776173285198556,
145
+ "eval_loss": 0.39849764108657837,
146
+ "eval_runtime": 9.338,
147
+ "eval_samples_per_second": 29.664,
148
+ "eval_steps_per_second": 3.748,
149
+ "step": 1404
150
+ },
151
+ {
152
+ "best_epoch": 8,
153
+ "best_eval_accuracy": 0.5776173285198556,
154
+ "epoch": 9.0,
155
+ "step": 1404
156
+ },
157
+ {
158
+ "epoch": 9.62,
159
+ "learning_rate": 0.003358974358974359,
160
+ "loss": 0.4109,
161
+ "step": 1500
162
+ },
163
+ {
164
+ "epoch": 10.0,
165
+ "eval_accuracy": 0.5992779783393501,
166
+ "eval_loss": 0.3827930986881256,
167
+ "eval_runtime": 9.2193,
168
+ "eval_samples_per_second": 30.046,
169
+ "eval_steps_per_second": 3.796,
170
+ "step": 1560
171
+ },
172
+ {
173
+ "best_epoch": 9,
174
+ "best_eval_accuracy": 0.5992779783393501,
175
+ "epoch": 10.0,
176
+ "step": 1560
177
+ },
178
+ {
179
+ "epoch": 11.0,
180
+ "eval_accuracy": 0.4729241877256318,
181
+ "eval_loss": 0.4339348375797272,
182
+ "eval_runtime": 9.1599,
183
+ "eval_samples_per_second": 30.24,
184
+ "eval_steps_per_second": 3.821,
185
+ "step": 1716
186
+ },
187
+ {
188
+ "best_epoch": 9,
189
+ "best_eval_accuracy": 0.5992779783393501,
190
+ "epoch": 11.0,
191
+ "step": 1716
192
+ },
193
+ {
194
+ "epoch": 12.0,
195
+ "eval_accuracy": 0.5379061371841155,
196
+ "eval_loss": 0.34316927194595337,
197
+ "eval_runtime": 8.9867,
198
+ "eval_samples_per_second": 30.823,
199
+ "eval_steps_per_second": 3.895,
200
+ "step": 1872
201
+ },
202
+ {
203
+ "best_epoch": 9,
204
+ "best_eval_accuracy": 0.5992779783393501,
205
+ "epoch": 12.0,
206
+ "step": 1872
207
+ },
208
+ {
209
+ "epoch": 12.82,
210
+ "learning_rate": 0.0031452991452991454,
211
+ "loss": 0.3611,
212
+ "step": 2000
213
+ },
214
+ {
215
+ "epoch": 13.0,
216
+ "eval_accuracy": 0.6137184115523465,
217
+ "eval_loss": 0.33951735496520996,
218
+ "eval_runtime": 9.3311,
219
+ "eval_samples_per_second": 29.686,
220
+ "eval_steps_per_second": 3.751,
221
+ "step": 2028
222
+ },
223
+ {
224
+ "best_epoch": 12,
225
+ "best_eval_accuracy": 0.6137184115523465,
226
+ "epoch": 13.0,
227
+ "step": 2028
228
+ },
229
+ {
230
+ "epoch": 14.0,
231
+ "eval_accuracy": 0.6714801444043321,
232
+ "eval_loss": 0.3404270112514496,
233
+ "eval_runtime": 9.3325,
234
+ "eval_samples_per_second": 29.681,
235
+ "eval_steps_per_second": 3.75,
236
+ "step": 2184
237
+ },
238
+ {
239
+ "best_epoch": 13,
240
+ "best_eval_accuracy": 0.6714801444043321,
241
+ "epoch": 14.0,
242
+ "step": 2184
243
+ },
244
+ {
245
+ "epoch": 15.0,
246
+ "eval_accuracy": 0.6570397111913358,
247
+ "eval_loss": 0.3395780026912689,
248
+ "eval_runtime": 9.3018,
249
+ "eval_samples_per_second": 29.779,
250
+ "eval_steps_per_second": 3.763,
251
+ "step": 2340
252
+ },
253
+ {
254
+ "best_epoch": 13,
255
+ "best_eval_accuracy": 0.6714801444043321,
256
+ "epoch": 15.0,
257
+ "step": 2340
258
+ },
259
+ {
260
+ "epoch": 16.0,
261
+ "eval_accuracy": 0.6353790613718412,
262
+ "eval_loss": 0.3856579065322876,
263
+ "eval_runtime": 9.3146,
264
+ "eval_samples_per_second": 29.738,
265
+ "eval_steps_per_second": 3.758,
266
+ "step": 2496
267
+ },
268
+ {
269
+ "best_epoch": 13,
270
+ "best_eval_accuracy": 0.6714801444043321,
271
+ "epoch": 16.0,
272
+ "step": 2496
273
+ },
274
+ {
275
+ "epoch": 16.03,
276
+ "learning_rate": 0.0029316239316239316,
277
+ "loss": 0.3456,
278
+ "step": 2500
279
+ },
280
+ {
281
+ "epoch": 17.0,
282
+ "eval_accuracy": 0.6895306859205776,
283
+ "eval_loss": 0.348003625869751,
284
+ "eval_runtime": 9.3161,
285
+ "eval_samples_per_second": 29.734,
286
+ "eval_steps_per_second": 3.757,
287
+ "step": 2652
288
+ },
289
+ {
290
+ "best_epoch": 16,
291
+ "best_eval_accuracy": 0.6895306859205776,
292
+ "epoch": 17.0,
293
+ "step": 2652
294
+ },
295
+ {
296
+ "epoch": 18.0,
297
+ "eval_accuracy": 0.703971119133574,
298
+ "eval_loss": 0.33484789729118347,
299
+ "eval_runtime": 9.253,
300
+ "eval_samples_per_second": 29.936,
301
+ "eval_steps_per_second": 3.783,
302
+ "step": 2808
303
+ },
304
+ {
305
+ "best_epoch": 17,
306
+ "best_eval_accuracy": 0.703971119133574,
307
+ "epoch": 18.0,
308
+ "step": 2808
309
+ },
310
+ {
311
+ "epoch": 19.0,
312
+ "eval_accuracy": 0.6425992779783394,
313
+ "eval_loss": 0.33233121037483215,
314
+ "eval_runtime": 9.3192,
315
+ "eval_samples_per_second": 29.724,
316
+ "eval_steps_per_second": 3.756,
317
+ "step": 2964
318
+ },
319
+ {
320
+ "best_epoch": 17,
321
+ "best_eval_accuracy": 0.703971119133574,
322
+ "epoch": 19.0,
323
+ "step": 2964
324
+ },
325
+ {
326
+ "epoch": 19.23,
327
+ "learning_rate": 0.0027179487179487182,
328
+ "loss": 0.3391,
329
+ "step": 3000
330
+ },
331
+ {
332
+ "epoch": 20.0,
333
+ "eval_accuracy": 0.6714801444043321,
334
+ "eval_loss": 0.359100878238678,
335
+ "eval_runtime": 9.2605,
336
+ "eval_samples_per_second": 29.912,
337
+ "eval_steps_per_second": 3.78,
338
+ "step": 3120
339
+ },
340
+ {
341
+ "best_epoch": 17,
342
+ "best_eval_accuracy": 0.703971119133574,
343
+ "epoch": 20.0,
344
+ "step": 3120
345
+ },
346
+ {
347
+ "epoch": 21.0,
348
+ "eval_accuracy": 0.7148014440433214,
349
+ "eval_loss": 0.33779582381248474,
350
+ "eval_runtime": 9.5614,
351
+ "eval_samples_per_second": 28.971,
352
+ "eval_steps_per_second": 3.661,
353
+ "step": 3276
354
+ },
355
+ {
356
+ "best_epoch": 20,
357
+ "best_eval_accuracy": 0.7148014440433214,
358
+ "epoch": 21.0,
359
+ "step": 3276
360
+ },
361
+ {
362
+ "epoch": 22.0,
363
+ "eval_accuracy": 0.7003610108303249,
364
+ "eval_loss": 0.3452521562576294,
365
+ "eval_runtime": 9.6177,
366
+ "eval_samples_per_second": 28.801,
367
+ "eval_steps_per_second": 3.639,
368
+ "step": 3432
369
+ },
370
+ {
371
+ "best_epoch": 20,
372
+ "best_eval_accuracy": 0.7148014440433214,
373
+ "epoch": 22.0,
374
+ "step": 3432
375
+ },
376
+ {
377
+ "epoch": 22.44,
378
+ "learning_rate": 0.0025042735042735045,
379
+ "loss": 0.3319,
380
+ "step": 3500
381
+ },
382
+ {
383
+ "epoch": 23.0,
384
+ "eval_accuracy": 0.6678700361010831,
385
+ "eval_loss": 0.34050798416137695,
386
+ "eval_runtime": 9.2679,
387
+ "eval_samples_per_second": 29.888,
388
+ "eval_steps_per_second": 3.776,
389
+ "step": 3588
390
+ },
391
+ {
392
+ "best_epoch": 20,
393
+ "best_eval_accuracy": 0.7148014440433214,
394
+ "epoch": 23.0,
395
+ "step": 3588
396
+ },
397
+ {
398
+ "epoch": 24.0,
399
+ "eval_accuracy": 0.6389891696750902,
400
+ "eval_loss": 0.34506645798683167,
401
+ "eval_runtime": 9.2745,
402
+ "eval_samples_per_second": 29.867,
403
+ "eval_steps_per_second": 3.774,
404
+ "step": 3744
405
+ },
406
+ {
407
+ "best_epoch": 20,
408
+ "best_eval_accuracy": 0.7148014440433214,
409
+ "epoch": 24.0,
410
+ "step": 3744
411
+ },
412
+ {
413
+ "epoch": 25.0,
414
+ "eval_accuracy": 0.6895306859205776,
415
+ "eval_loss": 0.36652639508247375,
416
+ "eval_runtime": 9.4067,
417
+ "eval_samples_per_second": 29.447,
418
+ "eval_steps_per_second": 3.721,
419
+ "step": 3900
420
+ },
421
+ {
422
+ "best_epoch": 20,
423
+ "best_eval_accuracy": 0.7148014440433214,
424
+ "epoch": 25.0,
425
+ "step": 3900
426
+ },
427
+ {
428
+ "epoch": 25.64,
429
+ "learning_rate": 0.0022905982905982907,
430
+ "loss": 0.3274,
431
+ "step": 4000
432
+ },
433
+ {
434
+ "epoch": 26.0,
435
+ "eval_accuracy": 0.7111913357400722,
436
+ "eval_loss": 0.32902663946151733,
437
+ "eval_runtime": 9.2506,
438
+ "eval_samples_per_second": 29.944,
439
+ "eval_steps_per_second": 3.784,
440
+ "step": 4056
441
+ },
442
+ {
443
+ "best_epoch": 20,
444
+ "best_eval_accuracy": 0.7148014440433214,
445
+ "epoch": 26.0,
446
+ "step": 4056
447
+ },
448
+ {
449
+ "epoch": 27.0,
450
+ "eval_accuracy": 0.703971119133574,
451
+ "eval_loss": 0.3251630365848541,
452
+ "eval_runtime": 9.2957,
453
+ "eval_samples_per_second": 29.799,
454
+ "eval_steps_per_second": 3.765,
455
+ "step": 4212
456
+ },
457
+ {
458
+ "best_epoch": 20,
459
+ "best_eval_accuracy": 0.7148014440433214,
460
+ "epoch": 27.0,
461
+ "step": 4212
462
+ },
463
+ {
464
+ "epoch": 28.0,
465
+ "eval_accuracy": 0.7184115523465704,
466
+ "eval_loss": 0.3264797031879425,
467
+ "eval_runtime": 9.1811,
468
+ "eval_samples_per_second": 30.171,
469
+ "eval_steps_per_second": 3.812,
470
+ "step": 4368
471
+ },
472
+ {
473
+ "best_epoch": 27,
474
+ "best_eval_accuracy": 0.7184115523465704,
475
+ "epoch": 28.0,
476
+ "step": 4368
477
+ },
478
+ {
479
+ "epoch": 28.85,
480
+ "learning_rate": 0.0020769230769230773,
481
+ "loss": 0.3214,
482
+ "step": 4500
483
+ },
484
+ {
485
+ "epoch": 29.0,
486
+ "eval_accuracy": 0.7364620938628159,
487
+ "eval_loss": 0.32835328578948975,
488
+ "eval_runtime": 9.1497,
489
+ "eval_samples_per_second": 30.274,
490
+ "eval_steps_per_second": 3.825,
491
+ "step": 4524
492
+ },
493
+ {
494
+ "best_epoch": 28,
495
+ "best_eval_accuracy": 0.7364620938628159,
496
+ "epoch": 29.0,
497
+ "step": 4524
498
+ },
499
+ {
500
+ "epoch": 30.0,
501
+ "eval_accuracy": 0.7436823104693141,
502
+ "eval_loss": 0.3290432393550873,
503
+ "eval_runtime": 8.9091,
504
+ "eval_samples_per_second": 31.092,
505
+ "eval_steps_per_second": 3.929,
506
+ "step": 4680
507
+ },
508
+ {
509
+ "best_epoch": 29,
510
+ "best_eval_accuracy": 0.7436823104693141,
511
+ "epoch": 30.0,
512
+ "step": 4680
513
+ },
514
+ {
515
+ "epoch": 31.0,
516
+ "eval_accuracy": 0.7256317689530686,
517
+ "eval_loss": 0.3327571749687195,
518
+ "eval_runtime": 8.8998,
519
+ "eval_samples_per_second": 31.124,
520
+ "eval_steps_per_second": 3.933,
521
+ "step": 4836
522
+ },
523
+ {
524
+ "best_epoch": 29,
525
+ "best_eval_accuracy": 0.7436823104693141,
526
+ "epoch": 31.0,
527
+ "step": 4836
528
+ },
529
+ {
530
+ "epoch": 32.0,
531
+ "eval_accuracy": 0.7220216606498195,
532
+ "eval_loss": 0.3268325626850128,
533
+ "eval_runtime": 8.9031,
534
+ "eval_samples_per_second": 31.113,
535
+ "eval_steps_per_second": 3.931,
536
+ "step": 4992
537
+ },
538
+ {
539
+ "best_epoch": 29,
540
+ "best_eval_accuracy": 0.7436823104693141,
541
+ "epoch": 32.0,
542
+ "step": 4992
543
+ },
544
+ {
545
+ "epoch": 32.05,
546
+ "learning_rate": 0.0018632478632478633,
547
+ "loss": 0.3167,
548
+ "step": 5000
549
+ },
550
+ {
551
+ "epoch": 33.0,
552
+ "eval_accuracy": 0.7220216606498195,
553
+ "eval_loss": 0.3372153341770172,
554
+ "eval_runtime": 8.8917,
555
+ "eval_samples_per_second": 31.153,
556
+ "eval_steps_per_second": 3.936,
557
+ "step": 5148
558
+ },
559
+ {
560
+ "best_epoch": 29,
561
+ "best_eval_accuracy": 0.7436823104693141,
562
+ "epoch": 33.0,
563
+ "step": 5148
564
+ },
565
+ {
566
+ "epoch": 34.0,
567
+ "eval_accuracy": 0.7256317689530686,
568
+ "eval_loss": 0.32633286714553833,
569
+ "eval_runtime": 8.8844,
570
+ "eval_samples_per_second": 31.178,
571
+ "eval_steps_per_second": 3.939,
572
+ "step": 5304
573
+ },
574
+ {
575
+ "best_epoch": 29,
576
+ "best_eval_accuracy": 0.7436823104693141,
577
+ "epoch": 34.0,
578
+ "step": 5304
579
+ },
580
+ {
581
+ "epoch": 35.0,
582
+ "eval_accuracy": 0.7364620938628159,
583
+ "eval_loss": 0.32305726408958435,
584
+ "eval_runtime": 8.9015,
585
+ "eval_samples_per_second": 31.118,
586
+ "eval_steps_per_second": 3.932,
587
+ "step": 5460
588
+ },
589
+ {
590
+ "best_epoch": 29,
591
+ "best_eval_accuracy": 0.7436823104693141,
592
+ "epoch": 35.0,
593
+ "step": 5460
594
+ },
595
+ {
596
+ "epoch": 35.26,
597
+ "learning_rate": 0.0016495726495726495,
598
+ "loss": 0.312,
599
+ "step": 5500
600
+ },
601
+ {
602
+ "epoch": 36.0,
603
+ "eval_accuracy": 0.7256317689530686,
604
+ "eval_loss": 0.325504332780838,
605
+ "eval_runtime": 8.9164,
606
+ "eval_samples_per_second": 31.066,
607
+ "eval_steps_per_second": 3.925,
608
+ "step": 5616
609
+ },
610
+ {
611
+ "best_epoch": 29,
612
+ "best_eval_accuracy": 0.7436823104693141,
613
+ "epoch": 36.0,
614
+ "step": 5616
615
+ },
616
+ {
617
+ "epoch": 37.0,
618
+ "eval_accuracy": 0.7148014440433214,
619
+ "eval_loss": 0.33250829577445984,
620
+ "eval_runtime": 8.8964,
621
+ "eval_samples_per_second": 31.136,
622
+ "eval_steps_per_second": 3.934,
623
+ "step": 5772
624
+ },
625
+ {
626
+ "best_epoch": 29,
627
+ "best_eval_accuracy": 0.7436823104693141,
628
+ "epoch": 37.0,
629
+ "step": 5772
630
+ },
631
+ {
632
+ "epoch": 38.0,
633
+ "eval_accuracy": 0.7364620938628159,
634
+ "eval_loss": 0.3350552022457123,
635
+ "eval_runtime": 8.8999,
636
+ "eval_samples_per_second": 31.124,
637
+ "eval_steps_per_second": 3.933,
638
+ "step": 5928
639
+ },
640
+ {
641
+ "best_epoch": 29,
642
+ "best_eval_accuracy": 0.7436823104693141,
643
+ "epoch": 38.0,
644
+ "step": 5928
645
+ },
646
+ {
647
+ "epoch": 38.46,
648
+ "learning_rate": 0.001435897435897436,
649
+ "loss": 0.3083,
650
+ "step": 6000
651
+ },
652
+ {
653
+ "epoch": 39.0,
654
+ "eval_accuracy": 0.7148014440433214,
655
+ "eval_loss": 0.3361571431159973,
656
+ "eval_runtime": 8.8805,
657
+ "eval_samples_per_second": 31.192,
658
+ "eval_steps_per_second": 3.941,
659
+ "step": 6084
660
+ },
661
+ {
662
+ "best_epoch": 29,
663
+ "best_eval_accuracy": 0.7436823104693141,
664
+ "epoch": 39.0,
665
+ "step": 6084
666
+ },
667
+ {
668
+ "epoch": 40.0,
669
+ "eval_accuracy": 0.7292418772563177,
670
+ "eval_loss": 0.33255627751350403,
671
+ "eval_runtime": 8.896,
672
+ "eval_samples_per_second": 31.138,
673
+ "eval_steps_per_second": 3.934,
674
+ "step": 6240
675
+ },
676
+ {
677
+ "best_epoch": 29,
678
+ "best_eval_accuracy": 0.7436823104693141,
679
+ "epoch": 40.0,
680
+ "step": 6240
681
+ },
682
+ {
683
+ "epoch": 41.0,
684
+ "eval_accuracy": 0.7220216606498195,
685
+ "eval_loss": 0.3366214632987976,
686
+ "eval_runtime": 8.8975,
687
+ "eval_samples_per_second": 31.132,
688
+ "eval_steps_per_second": 3.934,
689
+ "step": 6396
690
+ },
691
+ {
692
+ "best_epoch": 29,
693
+ "best_eval_accuracy": 0.7436823104693141,
694
+ "epoch": 41.0,
695
+ "step": 6396
696
+ },
697
+ {
698
+ "epoch": 41.67,
699
+ "learning_rate": 0.0012222222222222224,
700
+ "loss": 0.3081,
701
+ "step": 6500
702
+ },
703
+ {
704
+ "epoch": 42.0,
705
+ "eval_accuracy": 0.7292418772563177,
706
+ "eval_loss": 0.3264662027359009,
707
+ "eval_runtime": 8.9131,
708
+ "eval_samples_per_second": 31.078,
709
+ "eval_steps_per_second": 3.927,
710
+ "step": 6552
711
+ },
712
+ {
713
+ "best_epoch": 29,
714
+ "best_eval_accuracy": 0.7436823104693141,
715
+ "epoch": 42.0,
716
+ "step": 6552
717
+ },
718
+ {
719
+ "epoch": 43.0,
720
+ "eval_accuracy": 0.7364620938628159,
721
+ "eval_loss": 0.3351312577724457,
722
+ "eval_runtime": 8.9174,
723
+ "eval_samples_per_second": 31.063,
724
+ "eval_steps_per_second": 3.925,
725
+ "step": 6708
726
+ },
727
+ {
728
+ "best_epoch": 29,
729
+ "best_eval_accuracy": 0.7436823104693141,
730
+ "epoch": 43.0,
731
+ "step": 6708
732
+ },
733
+ {
734
+ "epoch": 44.0,
735
+ "eval_accuracy": 0.7328519855595668,
736
+ "eval_loss": 0.3383844196796417,
737
+ "eval_runtime": 8.9057,
738
+ "eval_samples_per_second": 31.104,
739
+ "eval_steps_per_second": 3.93,
740
+ "step": 6864
741
+ },
742
+ {
743
+ "best_epoch": 29,
744
+ "best_eval_accuracy": 0.7436823104693141,
745
+ "epoch": 44.0,
746
+ "step": 6864
747
+ },
748
+ {
749
+ "epoch": 44.87,
750
+ "learning_rate": 0.0010085470085470086,
751
+ "loss": 0.3032,
752
+ "step": 7000
753
+ },
754
+ {
755
+ "epoch": 45.0,
756
+ "eval_accuracy": 0.7220216606498195,
757
+ "eval_loss": 0.32982781529426575,
758
+ "eval_runtime": 8.8961,
759
+ "eval_samples_per_second": 31.137,
760
+ "eval_steps_per_second": 3.934,
761
+ "step": 7020
762
+ },
763
+ {
764
+ "best_epoch": 29,
765
+ "best_eval_accuracy": 0.7436823104693141,
766
+ "epoch": 45.0,
767
+ "step": 7020
768
+ },
769
+ {
770
+ "epoch": 46.0,
771
+ "eval_accuracy": 0.7328519855595668,
772
+ "eval_loss": 0.3309342563152313,
773
+ "eval_runtime": 8.8931,
774
+ "eval_samples_per_second": 31.148,
775
+ "eval_steps_per_second": 3.936,
776
+ "step": 7176
777
+ },
778
+ {
779
+ "best_epoch": 29,
780
+ "best_eval_accuracy": 0.7436823104693141,
781
+ "epoch": 46.0,
782
+ "step": 7176
783
+ },
784
+ {
785
+ "epoch": 47.0,
786
+ "eval_accuracy": 0.7256317689530686,
787
+ "eval_loss": 0.3318590819835663,
788
+ "eval_runtime": 8.8948,
789
+ "eval_samples_per_second": 31.142,
790
+ "eval_steps_per_second": 3.935,
791
+ "step": 7332
792
+ },
793
+ {
794
+ "best_epoch": 29,
795
+ "best_eval_accuracy": 0.7436823104693141,
796
+ "epoch": 47.0,
797
+ "step": 7332
798
+ },
799
+ {
800
+ "epoch": 48.0,
801
+ "eval_accuracy": 0.740072202166065,
802
+ "eval_loss": 0.34517648816108704,
803
+ "eval_runtime": 8.9043,
804
+ "eval_samples_per_second": 31.108,
805
+ "eval_steps_per_second": 3.931,
806
+ "step": 7488
807
+ },
808
+ {
809
+ "best_epoch": 29,
810
+ "best_eval_accuracy": 0.7436823104693141,
811
+ "epoch": 48.0,
812
+ "step": 7488
813
+ },
814
+ {
815
+ "epoch": 48.08,
816
+ "learning_rate": 0.0007948717948717948,
817
+ "loss": 0.2998,
818
+ "step": 7500
819
+ },
820
+ {
821
+ "epoch": 49.0,
822
+ "eval_accuracy": 0.7364620938628159,
823
+ "eval_loss": 0.3364735543727875,
824
+ "eval_runtime": 8.9076,
825
+ "eval_samples_per_second": 31.097,
826
+ "eval_steps_per_second": 3.929,
827
+ "step": 7644
828
+ },
829
+ {
830
+ "best_epoch": 29,
831
+ "best_eval_accuracy": 0.7436823104693141,
832
+ "epoch": 49.0,
833
+ "step": 7644
834
+ },
835
+ {
836
+ "epoch": 50.0,
837
+ "eval_accuracy": 0.7256317689530686,
838
+ "eval_loss": 0.3290213346481323,
839
+ "eval_runtime": 8.8977,
840
+ "eval_samples_per_second": 31.132,
841
+ "eval_steps_per_second": 3.934,
842
+ "step": 7800
843
+ },
844
+ {
845
+ "best_epoch": 29,
846
+ "best_eval_accuracy": 0.7436823104693141,
847
+ "epoch": 50.0,
848
+ "step": 7800
849
+ },
850
+ {
851
+ "epoch": 51.0,
852
+ "eval_accuracy": 0.7509025270758123,
853
+ "eval_loss": 0.3251466155052185,
854
+ "eval_runtime": 8.9086,
855
+ "eval_samples_per_second": 31.093,
856
+ "eval_steps_per_second": 3.929,
857
+ "step": 7956
858
+ },
859
+ {
860
+ "best_epoch": 50,
861
+ "best_eval_accuracy": 0.7509025270758123,
862
+ "epoch": 51.0,
863
+ "step": 7956
864
+ },
865
+ {
866
+ "epoch": 51.28,
867
+ "learning_rate": 0.0005811965811965813,
868
+ "loss": 0.2989,
869
+ "step": 8000
870
+ },
871
+ {
872
+ "epoch": 52.0,
873
+ "eval_accuracy": 0.740072202166065,
874
+ "eval_loss": 0.3253740072250366,
875
+ "eval_runtime": 8.8806,
876
+ "eval_samples_per_second": 31.192,
877
+ "eval_steps_per_second": 3.941,
878
+ "step": 8112
879
+ },
880
+ {
881
+ "best_epoch": 50,
882
+ "best_eval_accuracy": 0.7509025270758123,
883
+ "epoch": 52.0,
884
+ "step": 8112
885
+ },
886
+ {
887
+ "epoch": 53.0,
888
+ "eval_accuracy": 0.7364620938628159,
889
+ "eval_loss": 0.3372468054294586,
890
+ "eval_runtime": 8.9258,
891
+ "eval_samples_per_second": 31.034,
892
+ "eval_steps_per_second": 3.921,
893
+ "step": 8268
894
+ },
895
+ {
896
+ "best_epoch": 50,
897
+ "best_eval_accuracy": 0.7509025270758123,
898
+ "epoch": 53.0,
899
+ "step": 8268
900
+ },
901
+ {
902
+ "epoch": 54.0,
903
+ "eval_accuracy": 0.7436823104693141,
904
+ "eval_loss": 0.340105801820755,
905
+ "eval_runtime": 8.9051,
906
+ "eval_samples_per_second": 31.106,
907
+ "eval_steps_per_second": 3.93,
908
+ "step": 8424
909
+ },
910
+ {
911
+ "best_epoch": 50,
912
+ "best_eval_accuracy": 0.7509025270758123,
913
+ "epoch": 54.0,
914
+ "step": 8424
915
+ },
916
+ {
917
+ "epoch": 54.49,
918
+ "learning_rate": 0.00036752136752136755,
919
+ "loss": 0.2951,
920
+ "step": 8500
921
+ },
922
+ {
923
+ "epoch": 55.0,
924
+ "eval_accuracy": 0.7364620938628159,
925
+ "eval_loss": 0.33145537972450256,
926
+ "eval_runtime": 8.91,
927
+ "eval_samples_per_second": 31.089,
928
+ "eval_steps_per_second": 3.928,
929
+ "step": 8580
930
+ },
931
+ {
932
+ "best_epoch": 50,
933
+ "best_eval_accuracy": 0.7509025270758123,
934
+ "epoch": 55.0,
935
+ "step": 8580
936
+ },
937
+ {
938
+ "epoch": 56.0,
939
+ "eval_accuracy": 0.7292418772563177,
940
+ "eval_loss": 0.33449816703796387,
941
+ "eval_runtime": 8.899,
942
+ "eval_samples_per_second": 31.127,
943
+ "eval_steps_per_second": 3.933,
944
+ "step": 8736
945
+ },
946
+ {
947
+ "best_epoch": 50,
948
+ "best_eval_accuracy": 0.7509025270758123,
949
+ "epoch": 56.0,
950
+ "step": 8736
951
+ },
952
+ {
953
+ "epoch": 57.0,
954
+ "eval_accuracy": 0.7292418772563177,
955
+ "eval_loss": 0.33013680577278137,
956
+ "eval_runtime": 8.9036,
957
+ "eval_samples_per_second": 31.111,
958
+ "eval_steps_per_second": 3.931,
959
+ "step": 8892
960
+ },
961
+ {
962
+ "best_epoch": 50,
963
+ "best_eval_accuracy": 0.7509025270758123,
964
+ "epoch": 57.0,
965
+ "step": 8892
966
+ },
967
+ {
968
+ "epoch": 57.69,
969
+ "learning_rate": 0.00015384615384615385,
970
+ "loss": 0.2945,
971
+ "step": 9000
972
+ },
973
+ {
974
+ "epoch": 58.0,
975
+ "eval_accuracy": 0.7292418772563177,
976
+ "eval_loss": 0.3321804106235504,
977
+ "eval_runtime": 9.3599,
978
+ "eval_samples_per_second": 29.594,
979
+ "eval_steps_per_second": 3.739,
980
+ "step": 9048
981
+ },
982
+ {
983
+ "best_epoch": 50,
984
+ "best_eval_accuracy": 0.7509025270758123,
985
+ "epoch": 58.0,
986
+ "step": 9048
987
+ },
988
+ {
989
+ "epoch": 59.0,
990
+ "eval_accuracy": 0.7328519855595668,
991
+ "eval_loss": 0.3304736912250519,
992
+ "eval_runtime": 9.3479,
993
+ "eval_samples_per_second": 29.632,
994
+ "eval_steps_per_second": 3.744,
995
+ "step": 9204
996
+ },
997
+ {
998
+ "best_epoch": 50,
999
+ "best_eval_accuracy": 0.7509025270758123,
1000
+ "epoch": 59.0,
1001
+ "step": 9204
1002
+ },
1003
+ {
1004
+ "epoch": 60.0,
1005
+ "eval_accuracy": 0.7364620938628159,
1006
+ "eval_loss": 0.3315790295600891,
1007
+ "eval_runtime": 9.3813,
1008
+ "eval_samples_per_second": 29.527,
1009
+ "eval_steps_per_second": 3.731,
1010
+ "step": 9360
1011
+ },
1012
+ {
1013
+ "best_epoch": 50,
1014
+ "best_eval_accuracy": 0.7509025270758123,
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": 0.34035047710451305,
1023
+ "train_runtime": 7833.6103,
1024
+ "train_samples_per_second": 19.072,
1025
+ "train_steps_per_second": 1.195
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
+ }