Frank0930 commited on
Commit
095cbdb
1 Parent(s): 40b313e

End of training

Browse files
Files changed (4) hide show
  1. all_results.json +13 -0
  2. eval_results.json +8 -0
  3. train_results.json +8 -0
  4. trainer_state.json +685 -0
all_results.json ADDED
@@ -0,0 +1,13 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 2.99,
3
+ "eval_accuracy": 0.9726,
4
+ "eval_loss": 0.08641859889030457,
5
+ "eval_runtime": 12.3379,
6
+ "eval_samples_per_second": 405.256,
7
+ "eval_steps_per_second": 12.725,
8
+ "total_flos": 3.3497451642252165e+18,
9
+ "train_loss": 0.5509732920899351,
10
+ "train_runtime": 703.1215,
11
+ "train_samples_per_second": 192.001,
12
+ "train_steps_per_second": 1.498
13
+ }
eval_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 2.99,
3
+ "eval_accuracy": 0.9726,
4
+ "eval_loss": 0.08641859889030457,
5
+ "eval_runtime": 12.3379,
6
+ "eval_samples_per_second": 405.256,
7
+ "eval_steps_per_second": 12.725
8
+ }
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 2.99,
3
+ "total_flos": 3.3497451642252165e+18,
4
+ "train_loss": 0.5509732920899351,
5
+ "train_runtime": 703.1215,
6
+ "train_samples_per_second": 192.001,
7
+ "train_steps_per_second": 1.498
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,685 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.9726,
3
+ "best_model_checkpoint": "swin-tiny-patch4-window7-224-finetuned-eurosat/checkpoint-1053",
4
+ "epoch": 2.9936034115138592,
5
+ "eval_steps": 500,
6
+ "global_step": 1053,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.03,
13
+ "learning_rate": 4.716981132075472e-06,
14
+ "loss": 2.3329,
15
+ "step": 10
16
+ },
17
+ {
18
+ "epoch": 0.06,
19
+ "learning_rate": 9.433962264150944e-06,
20
+ "loss": 2.2481,
21
+ "step": 20
22
+ },
23
+ {
24
+ "epoch": 0.09,
25
+ "learning_rate": 1.4150943396226415e-05,
26
+ "loss": 2.1199,
27
+ "step": 30
28
+ },
29
+ {
30
+ "epoch": 0.11,
31
+ "learning_rate": 1.8867924528301888e-05,
32
+ "loss": 1.9563,
33
+ "step": 40
34
+ },
35
+ {
36
+ "epoch": 0.14,
37
+ "learning_rate": 2.358490566037736e-05,
38
+ "loss": 1.7228,
39
+ "step": 50
40
+ },
41
+ {
42
+ "epoch": 0.17,
43
+ "learning_rate": 2.830188679245283e-05,
44
+ "loss": 1.3702,
45
+ "step": 60
46
+ },
47
+ {
48
+ "epoch": 0.2,
49
+ "learning_rate": 3.30188679245283e-05,
50
+ "loss": 1.1204,
51
+ "step": 70
52
+ },
53
+ {
54
+ "epoch": 0.23,
55
+ "learning_rate": 3.7735849056603776e-05,
56
+ "loss": 1.0078,
57
+ "step": 80
58
+ },
59
+ {
60
+ "epoch": 0.26,
61
+ "learning_rate": 4.245283018867925e-05,
62
+ "loss": 0.921,
63
+ "step": 90
64
+ },
65
+ {
66
+ "epoch": 0.28,
67
+ "learning_rate": 4.716981132075472e-05,
68
+ "loss": 0.8265,
69
+ "step": 100
70
+ },
71
+ {
72
+ "epoch": 0.31,
73
+ "learning_rate": 4.978880675818374e-05,
74
+ "loss": 0.7245,
75
+ "step": 110
76
+ },
77
+ {
78
+ "epoch": 0.34,
79
+ "learning_rate": 4.9260823653643085e-05,
80
+ "loss": 0.7154,
81
+ "step": 120
82
+ },
83
+ {
84
+ "epoch": 0.37,
85
+ "learning_rate": 4.8732840549102435e-05,
86
+ "loss": 0.7171,
87
+ "step": 130
88
+ },
89
+ {
90
+ "epoch": 0.4,
91
+ "learning_rate": 4.820485744456177e-05,
92
+ "loss": 0.668,
93
+ "step": 140
94
+ },
95
+ {
96
+ "epoch": 0.43,
97
+ "learning_rate": 4.767687434002112e-05,
98
+ "loss": 0.6442,
99
+ "step": 150
100
+ },
101
+ {
102
+ "epoch": 0.45,
103
+ "learning_rate": 4.7148891235480466e-05,
104
+ "loss": 0.6325,
105
+ "step": 160
106
+ },
107
+ {
108
+ "epoch": 0.48,
109
+ "learning_rate": 4.662090813093981e-05,
110
+ "loss": 0.6042,
111
+ "step": 170
112
+ },
113
+ {
114
+ "epoch": 0.51,
115
+ "learning_rate": 4.609292502639916e-05,
116
+ "loss": 0.6402,
117
+ "step": 180
118
+ },
119
+ {
120
+ "epoch": 0.54,
121
+ "learning_rate": 4.55649419218585e-05,
122
+ "loss": 0.6125,
123
+ "step": 190
124
+ },
125
+ {
126
+ "epoch": 0.57,
127
+ "learning_rate": 4.503695881731785e-05,
128
+ "loss": 0.5933,
129
+ "step": 200
130
+ },
131
+ {
132
+ "epoch": 0.6,
133
+ "learning_rate": 4.45089757127772e-05,
134
+ "loss": 0.5594,
135
+ "step": 210
136
+ },
137
+ {
138
+ "epoch": 0.63,
139
+ "learning_rate": 4.398099260823654e-05,
140
+ "loss": 0.5003,
141
+ "step": 220
142
+ },
143
+ {
144
+ "epoch": 0.65,
145
+ "learning_rate": 4.3453009503695884e-05,
146
+ "loss": 0.5379,
147
+ "step": 230
148
+ },
149
+ {
150
+ "epoch": 0.68,
151
+ "learning_rate": 4.292502639915523e-05,
152
+ "loss": 0.5321,
153
+ "step": 240
154
+ },
155
+ {
156
+ "epoch": 0.71,
157
+ "learning_rate": 4.239704329461457e-05,
158
+ "loss": 0.5072,
159
+ "step": 250
160
+ },
161
+ {
162
+ "epoch": 0.74,
163
+ "learning_rate": 4.186906019007392e-05,
164
+ "loss": 0.5034,
165
+ "step": 260
166
+ },
167
+ {
168
+ "epoch": 0.77,
169
+ "learning_rate": 4.1341077085533265e-05,
170
+ "loss": 0.5738,
171
+ "step": 270
172
+ },
173
+ {
174
+ "epoch": 0.8,
175
+ "learning_rate": 4.081309398099261e-05,
176
+ "loss": 0.5206,
177
+ "step": 280
178
+ },
179
+ {
180
+ "epoch": 0.82,
181
+ "learning_rate": 4.028511087645195e-05,
182
+ "loss": 0.5109,
183
+ "step": 290
184
+ },
185
+ {
186
+ "epoch": 0.85,
187
+ "learning_rate": 3.97571277719113e-05,
188
+ "loss": 0.5532,
189
+ "step": 300
190
+ },
191
+ {
192
+ "epoch": 0.88,
193
+ "learning_rate": 3.9229144667370646e-05,
194
+ "loss": 0.5079,
195
+ "step": 310
196
+ },
197
+ {
198
+ "epoch": 0.91,
199
+ "learning_rate": 3.870116156282999e-05,
200
+ "loss": 0.5638,
201
+ "step": 320
202
+ },
203
+ {
204
+ "epoch": 0.94,
205
+ "learning_rate": 3.817317845828934e-05,
206
+ "loss": 0.4974,
207
+ "step": 330
208
+ },
209
+ {
210
+ "epoch": 0.97,
211
+ "learning_rate": 3.764519535374868e-05,
212
+ "loss": 0.458,
213
+ "step": 340
214
+ },
215
+ {
216
+ "epoch": 1.0,
217
+ "learning_rate": 3.711721224920803e-05,
218
+ "loss": 0.4809,
219
+ "step": 350
220
+ },
221
+ {
222
+ "epoch": 1.0,
223
+ "eval_accuracy": 0.9528,
224
+ "eval_loss": 0.13878044486045837,
225
+ "eval_runtime": 12.2592,
226
+ "eval_samples_per_second": 407.858,
227
+ "eval_steps_per_second": 12.807,
228
+ "step": 351
229
+ },
230
+ {
231
+ "epoch": 1.02,
232
+ "learning_rate": 3.658922914466738e-05,
233
+ "loss": 0.4992,
234
+ "step": 360
235
+ },
236
+ {
237
+ "epoch": 1.05,
238
+ "learning_rate": 3.6061246040126714e-05,
239
+ "loss": 0.4622,
240
+ "step": 370
241
+ },
242
+ {
243
+ "epoch": 1.08,
244
+ "learning_rate": 3.5533262935586064e-05,
245
+ "loss": 0.5098,
246
+ "step": 380
247
+ },
248
+ {
249
+ "epoch": 1.11,
250
+ "learning_rate": 3.500527983104541e-05,
251
+ "loss": 0.4602,
252
+ "step": 390
253
+ },
254
+ {
255
+ "epoch": 1.14,
256
+ "learning_rate": 3.447729672650475e-05,
257
+ "loss": 0.4708,
258
+ "step": 400
259
+ },
260
+ {
261
+ "epoch": 1.17,
262
+ "learning_rate": 3.3949313621964095e-05,
263
+ "loss": 0.4839,
264
+ "step": 410
265
+ },
266
+ {
267
+ "epoch": 1.19,
268
+ "learning_rate": 3.3421330517423445e-05,
269
+ "loss": 0.4834,
270
+ "step": 420
271
+ },
272
+ {
273
+ "epoch": 1.22,
274
+ "learning_rate": 3.289334741288279e-05,
275
+ "loss": 0.4444,
276
+ "step": 430
277
+ },
278
+ {
279
+ "epoch": 1.25,
280
+ "learning_rate": 3.236536430834213e-05,
281
+ "loss": 0.4269,
282
+ "step": 440
283
+ },
284
+ {
285
+ "epoch": 1.28,
286
+ "learning_rate": 3.183738120380148e-05,
287
+ "loss": 0.4235,
288
+ "step": 450
289
+ },
290
+ {
291
+ "epoch": 1.31,
292
+ "learning_rate": 3.130939809926082e-05,
293
+ "loss": 0.467,
294
+ "step": 460
295
+ },
296
+ {
297
+ "epoch": 1.34,
298
+ "learning_rate": 3.078141499472017e-05,
299
+ "loss": 0.4993,
300
+ "step": 470
301
+ },
302
+ {
303
+ "epoch": 1.36,
304
+ "learning_rate": 3.0253431890179517e-05,
305
+ "loss": 0.415,
306
+ "step": 480
307
+ },
308
+ {
309
+ "epoch": 1.39,
310
+ "learning_rate": 2.972544878563886e-05,
311
+ "loss": 0.4121,
312
+ "step": 490
313
+ },
314
+ {
315
+ "epoch": 1.42,
316
+ "learning_rate": 2.9197465681098207e-05,
317
+ "loss": 0.4406,
318
+ "step": 500
319
+ },
320
+ {
321
+ "epoch": 1.45,
322
+ "learning_rate": 2.8669482576557548e-05,
323
+ "loss": 0.4606,
324
+ "step": 510
325
+ },
326
+ {
327
+ "epoch": 1.48,
328
+ "learning_rate": 2.8141499472016898e-05,
329
+ "loss": 0.427,
330
+ "step": 520
331
+ },
332
+ {
333
+ "epoch": 1.51,
334
+ "learning_rate": 2.7613516367476245e-05,
335
+ "loss": 0.4111,
336
+ "step": 530
337
+ },
338
+ {
339
+ "epoch": 1.54,
340
+ "learning_rate": 2.7085533262935585e-05,
341
+ "loss": 0.4396,
342
+ "step": 540
343
+ },
344
+ {
345
+ "epoch": 1.56,
346
+ "learning_rate": 2.6557550158394935e-05,
347
+ "loss": 0.4451,
348
+ "step": 550
349
+ },
350
+ {
351
+ "epoch": 1.59,
352
+ "learning_rate": 2.6029567053854276e-05,
353
+ "loss": 0.4057,
354
+ "step": 560
355
+ },
356
+ {
357
+ "epoch": 1.62,
358
+ "learning_rate": 2.5501583949313622e-05,
359
+ "loss": 0.4232,
360
+ "step": 570
361
+ },
362
+ {
363
+ "epoch": 1.65,
364
+ "learning_rate": 2.497360084477297e-05,
365
+ "loss": 0.4215,
366
+ "step": 580
367
+ },
368
+ {
369
+ "epoch": 1.68,
370
+ "learning_rate": 2.4445617740232313e-05,
371
+ "loss": 0.4051,
372
+ "step": 590
373
+ },
374
+ {
375
+ "epoch": 1.71,
376
+ "learning_rate": 2.391763463569166e-05,
377
+ "loss": 0.4396,
378
+ "step": 600
379
+ },
380
+ {
381
+ "epoch": 1.73,
382
+ "learning_rate": 2.3389651531151003e-05,
383
+ "loss": 0.3962,
384
+ "step": 610
385
+ },
386
+ {
387
+ "epoch": 1.76,
388
+ "learning_rate": 2.286166842661035e-05,
389
+ "loss": 0.4251,
390
+ "step": 620
391
+ },
392
+ {
393
+ "epoch": 1.79,
394
+ "learning_rate": 2.2333685322069694e-05,
395
+ "loss": 0.3922,
396
+ "step": 630
397
+ },
398
+ {
399
+ "epoch": 1.82,
400
+ "learning_rate": 2.180570221752904e-05,
401
+ "loss": 0.3954,
402
+ "step": 640
403
+ },
404
+ {
405
+ "epoch": 1.85,
406
+ "learning_rate": 2.1277719112988384e-05,
407
+ "loss": 0.4148,
408
+ "step": 650
409
+ },
410
+ {
411
+ "epoch": 1.88,
412
+ "learning_rate": 2.074973600844773e-05,
413
+ "loss": 0.4151,
414
+ "step": 660
415
+ },
416
+ {
417
+ "epoch": 1.9,
418
+ "learning_rate": 2.0221752903907075e-05,
419
+ "loss": 0.3791,
420
+ "step": 670
421
+ },
422
+ {
423
+ "epoch": 1.93,
424
+ "learning_rate": 1.9693769799366422e-05,
425
+ "loss": 0.4083,
426
+ "step": 680
427
+ },
428
+ {
429
+ "epoch": 1.96,
430
+ "learning_rate": 1.9165786694825765e-05,
431
+ "loss": 0.3807,
432
+ "step": 690
433
+ },
434
+ {
435
+ "epoch": 1.99,
436
+ "learning_rate": 1.863780359028511e-05,
437
+ "loss": 0.3489,
438
+ "step": 700
439
+ },
440
+ {
441
+ "epoch": 2.0,
442
+ "eval_accuracy": 0.9692,
443
+ "eval_loss": 0.094483382999897,
444
+ "eval_runtime": 12.158,
445
+ "eval_samples_per_second": 411.253,
446
+ "eval_steps_per_second": 12.913,
447
+ "step": 703
448
+ },
449
+ {
450
+ "epoch": 2.02,
451
+ "learning_rate": 1.810982048574446e-05,
452
+ "loss": 0.3842,
453
+ "step": 710
454
+ },
455
+ {
456
+ "epoch": 2.05,
457
+ "learning_rate": 1.7581837381203803e-05,
458
+ "loss": 0.3999,
459
+ "step": 720
460
+ },
461
+ {
462
+ "epoch": 2.08,
463
+ "learning_rate": 1.7053854276663146e-05,
464
+ "loss": 0.3837,
465
+ "step": 730
466
+ },
467
+ {
468
+ "epoch": 2.1,
469
+ "learning_rate": 1.6525871172122493e-05,
470
+ "loss": 0.3796,
471
+ "step": 740
472
+ },
473
+ {
474
+ "epoch": 2.13,
475
+ "learning_rate": 1.5997888067581837e-05,
476
+ "loss": 0.3601,
477
+ "step": 750
478
+ },
479
+ {
480
+ "epoch": 2.16,
481
+ "learning_rate": 1.5469904963041184e-05,
482
+ "loss": 0.3583,
483
+ "step": 760
484
+ },
485
+ {
486
+ "epoch": 2.19,
487
+ "learning_rate": 1.4941921858500529e-05,
488
+ "loss": 0.4077,
489
+ "step": 770
490
+ },
491
+ {
492
+ "epoch": 2.22,
493
+ "learning_rate": 1.4413938753959874e-05,
494
+ "loss": 0.3676,
495
+ "step": 780
496
+ },
497
+ {
498
+ "epoch": 2.25,
499
+ "learning_rate": 1.388595564941922e-05,
500
+ "loss": 0.3552,
501
+ "step": 790
502
+ },
503
+ {
504
+ "epoch": 2.27,
505
+ "learning_rate": 1.3357972544878563e-05,
506
+ "loss": 0.3861,
507
+ "step": 800
508
+ },
509
+ {
510
+ "epoch": 2.3,
511
+ "learning_rate": 1.2829989440337912e-05,
512
+ "loss": 0.4155,
513
+ "step": 810
514
+ },
515
+ {
516
+ "epoch": 2.33,
517
+ "learning_rate": 1.2302006335797255e-05,
518
+ "loss": 0.3597,
519
+ "step": 820
520
+ },
521
+ {
522
+ "epoch": 2.36,
523
+ "learning_rate": 1.17740232312566e-05,
524
+ "loss": 0.4062,
525
+ "step": 830
526
+ },
527
+ {
528
+ "epoch": 2.39,
529
+ "learning_rate": 1.1246040126715946e-05,
530
+ "loss": 0.3811,
531
+ "step": 840
532
+ },
533
+ {
534
+ "epoch": 2.42,
535
+ "learning_rate": 1.0718057022175291e-05,
536
+ "loss": 0.3711,
537
+ "step": 850
538
+ },
539
+ {
540
+ "epoch": 2.44,
541
+ "learning_rate": 1.0190073917634636e-05,
542
+ "loss": 0.3816,
543
+ "step": 860
544
+ },
545
+ {
546
+ "epoch": 2.47,
547
+ "learning_rate": 9.662090813093982e-06,
548
+ "loss": 0.362,
549
+ "step": 870
550
+ },
551
+ {
552
+ "epoch": 2.5,
553
+ "learning_rate": 9.134107708553327e-06,
554
+ "loss": 0.346,
555
+ "step": 880
556
+ },
557
+ {
558
+ "epoch": 2.53,
559
+ "learning_rate": 8.606124604012672e-06,
560
+ "loss": 0.3749,
561
+ "step": 890
562
+ },
563
+ {
564
+ "epoch": 2.56,
565
+ "learning_rate": 8.078141499472017e-06,
566
+ "loss": 0.3781,
567
+ "step": 900
568
+ },
569
+ {
570
+ "epoch": 2.59,
571
+ "learning_rate": 7.5501583949313625e-06,
572
+ "loss": 0.3639,
573
+ "step": 910
574
+ },
575
+ {
576
+ "epoch": 2.62,
577
+ "learning_rate": 7.022175290390708e-06,
578
+ "loss": 0.363,
579
+ "step": 920
580
+ },
581
+ {
582
+ "epoch": 2.64,
583
+ "learning_rate": 6.494192185850054e-06,
584
+ "loss": 0.363,
585
+ "step": 930
586
+ },
587
+ {
588
+ "epoch": 2.67,
589
+ "learning_rate": 5.966209081309398e-06,
590
+ "loss": 0.3726,
591
+ "step": 940
592
+ },
593
+ {
594
+ "epoch": 2.7,
595
+ "learning_rate": 5.438225976768744e-06,
596
+ "loss": 0.372,
597
+ "step": 950
598
+ },
599
+ {
600
+ "epoch": 2.73,
601
+ "learning_rate": 4.910242872228089e-06,
602
+ "loss": 0.3444,
603
+ "step": 960
604
+ },
605
+ {
606
+ "epoch": 2.76,
607
+ "learning_rate": 4.382259767687434e-06,
608
+ "loss": 0.3583,
609
+ "step": 970
610
+ },
611
+ {
612
+ "epoch": 2.79,
613
+ "learning_rate": 3.854276663146779e-06,
614
+ "loss": 0.3328,
615
+ "step": 980
616
+ },
617
+ {
618
+ "epoch": 2.81,
619
+ "learning_rate": 3.326293558606125e-06,
620
+ "loss": 0.3554,
621
+ "step": 990
622
+ },
623
+ {
624
+ "epoch": 2.84,
625
+ "learning_rate": 2.79831045406547e-06,
626
+ "loss": 0.3354,
627
+ "step": 1000
628
+ },
629
+ {
630
+ "epoch": 2.87,
631
+ "learning_rate": 2.2703273495248154e-06,
632
+ "loss": 0.3111,
633
+ "step": 1010
634
+ },
635
+ {
636
+ "epoch": 2.9,
637
+ "learning_rate": 1.7423442449841606e-06,
638
+ "loss": 0.3606,
639
+ "step": 1020
640
+ },
641
+ {
642
+ "epoch": 2.93,
643
+ "learning_rate": 1.2143611404435059e-06,
644
+ "loss": 0.3428,
645
+ "step": 1030
646
+ },
647
+ {
648
+ "epoch": 2.96,
649
+ "learning_rate": 6.863780359028511e-07,
650
+ "loss": 0.3083,
651
+ "step": 1040
652
+ },
653
+ {
654
+ "epoch": 2.99,
655
+ "learning_rate": 1.5839493136219642e-07,
656
+ "loss": 0.3528,
657
+ "step": 1050
658
+ },
659
+ {
660
+ "epoch": 2.99,
661
+ "eval_accuracy": 0.9726,
662
+ "eval_loss": 0.08641859889030457,
663
+ "eval_runtime": 12.1974,
664
+ "eval_samples_per_second": 409.924,
665
+ "eval_steps_per_second": 12.872,
666
+ "step": 1053
667
+ },
668
+ {
669
+ "epoch": 2.99,
670
+ "step": 1053,
671
+ "total_flos": 3.3497451642252165e+18,
672
+ "train_loss": 0.5509732920899351,
673
+ "train_runtime": 703.1215,
674
+ "train_samples_per_second": 192.001,
675
+ "train_steps_per_second": 1.498
676
+ }
677
+ ],
678
+ "logging_steps": 10,
679
+ "max_steps": 1053,
680
+ "num_train_epochs": 3,
681
+ "save_steps": 500,
682
+ "total_flos": 3.3497451642252165e+18,
683
+ "trial_name": null,
684
+ "trial_params": null
685
+ }