JEdward7777 commited on
Commit
fdc7872
1 Parent(s): b9dd126

End of training

Browse files
all_results.json CHANGED
@@ -1,13 +1,13 @@
1
  {
2
  "epoch": 59.84,
3
- "eval_accuracy": 0.9846153846153847,
4
- "eval_loss": 0.1295621246099472,
5
- "eval_runtime": 4.3947,
6
- "eval_samples_per_second": 14.791,
7
- "eval_steps_per_second": 0.683,
8
  "total_flos": 8.648855308501955e+17,
9
- "train_loss": 0.577343902985255,
10
- "train_runtime": 4213.9216,
11
- "train_samples_per_second": 8.273,
12
- "train_steps_per_second": 0.057
13
  }
 
1
  {
2
  "epoch": 59.84,
3
+ "eval_accuracy": 0.9692307692307692,
4
+ "eval_loss": 0.22925466299057007,
5
+ "eval_runtime": 4.2919,
6
+ "eval_samples_per_second": 15.145,
7
+ "eval_steps_per_second": 0.699,
8
  "total_flos": 8.648855308501955e+17,
9
+ "train_loss": 0.5746380070845286,
10
+ "train_runtime": 4313.6028,
11
+ "train_samples_per_second": 8.081,
12
+ "train_steps_per_second": 0.056
13
  }
eval_results.json CHANGED
@@ -1,8 +1,8 @@
1
  {
2
  "epoch": 59.84,
3
- "eval_accuracy": 0.9846153846153847,
4
- "eval_loss": 0.1295621246099472,
5
- "eval_runtime": 4.3947,
6
- "eval_samples_per_second": 14.791,
7
- "eval_steps_per_second": 0.683
8
  }
 
1
  {
2
  "epoch": 59.84,
3
+ "eval_accuracy": 0.9692307692307692,
4
+ "eval_loss": 0.22925466299057007,
5
+ "eval_runtime": 4.2919,
6
+ "eval_samples_per_second": 15.145,
7
+ "eval_steps_per_second": 0.699
8
  }
runs/Jan05_16-34-55_23b52696f101/events.out.tfevents.1672941018.23b52696f101.141.2 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:eb4a80be8131bd20dc4f6cf0c578659ccb798beab4a070879c84ccaca3ed2797
3
+ size 363
train_results.json CHANGED
@@ -1,8 +1,8 @@
1
  {
2
  "epoch": 59.84,
3
  "total_flos": 8.648855308501955e+17,
4
- "train_loss": 0.577343902985255,
5
- "train_runtime": 4213.9216,
6
- "train_samples_per_second": 8.273,
7
- "train_steps_per_second": 0.057
8
  }
 
1
  {
2
  "epoch": 59.84,
3
  "total_flos": 8.648855308501955e+17,
4
+ "train_loss": 0.5746380070845286,
5
+ "train_runtime": 4313.6028,
6
+ "train_samples_per_second": 8.081,
7
+ "train_steps_per_second": 0.056
8
  }
trainer_state.json CHANGED
@@ -1,6 +1,6 @@
1
  {
2
- "best_metric": 0.9846153846153847,
3
- "best_model_checkpoint": "delivery_truck_classification/checkpoint-104",
4
  "epoch": 59.8421052631579,
5
  "global_step": 240,
6
  "is_hyper_param_search": false,
@@ -9,624 +9,624 @@
9
  "log_history": [
10
  {
11
  "epoch": 0.84,
12
- "eval_accuracy": 0.3230769230769231,
13
- "eval_loss": 1.819914698600769,
14
- "eval_runtime": 4.4893,
15
- "eval_samples_per_second": 14.479,
16
- "eval_steps_per_second": 0.668,
17
  "step": 4
18
  },
19
  {
20
  "epoch": 1.84,
21
- "eval_accuracy": 0.4153846153846154,
22
- "eval_loss": 1.7274595499038696,
23
- "eval_runtime": 5.1038,
24
- "eval_samples_per_second": 12.736,
25
- "eval_steps_per_second": 0.588,
26
  "step": 8
27
  },
28
  {
29
  "epoch": 2.84,
30
- "eval_accuracy": 0.46153846153846156,
31
- "eval_loss": 1.628129005432129,
32
- "eval_runtime": 4.4017,
33
- "eval_samples_per_second": 14.767,
34
- "eval_steps_per_second": 0.682,
35
  "step": 12
36
  },
37
  {
38
  "epoch": 3.84,
39
- "eval_accuracy": 0.46153846153846156,
40
- "eval_loss": 1.5271515846252441,
41
- "eval_runtime": 4.7528,
42
- "eval_samples_per_second": 13.676,
43
- "eval_steps_per_second": 0.631,
44
  "step": 16
45
  },
46
  {
47
  "epoch": 4.84,
48
  "learning_rate": 4.166666666666667e-05,
49
- "loss": 1.9537,
50
  "step": 20
51
  },
52
  {
53
  "epoch": 4.84,
54
- "eval_accuracy": 0.5076923076923077,
55
- "eval_loss": 1.3667770624160767,
56
- "eval_runtime": 4.3866,
57
- "eval_samples_per_second": 14.818,
58
- "eval_steps_per_second": 0.684,
59
  "step": 20
60
  },
61
  {
62
  "epoch": 5.84,
63
- "eval_accuracy": 0.6,
64
- "eval_loss": 1.0963521003723145,
65
- "eval_runtime": 4.7064,
66
- "eval_samples_per_second": 13.811,
67
- "eval_steps_per_second": 0.637,
68
  "step": 24
69
  },
70
  {
71
  "epoch": 6.84,
72
- "eval_accuracy": 0.7846153846153846,
73
- "eval_loss": 0.7691364884376526,
74
- "eval_runtime": 4.2153,
75
- "eval_samples_per_second": 15.42,
76
- "eval_steps_per_second": 0.712,
77
  "step": 28
78
  },
79
  {
80
  "epoch": 7.84,
81
- "eval_accuracy": 0.8307692307692308,
82
- "eval_loss": 0.6369762420654297,
83
- "eval_runtime": 4.7258,
84
- "eval_samples_per_second": 13.754,
85
- "eval_steps_per_second": 0.635,
86
  "step": 32
87
  },
88
  {
89
  "epoch": 8.84,
90
- "eval_accuracy": 0.9076923076923077,
91
- "eval_loss": 0.4328678548336029,
92
- "eval_runtime": 4.7157,
93
- "eval_samples_per_second": 13.784,
94
- "eval_steps_per_second": 0.636,
95
  "step": 36
96
  },
97
  {
98
  "epoch": 9.84,
99
  "learning_rate": 4.62962962962963e-05,
100
- "loss": 1.0682,
101
  "step": 40
102
  },
103
  {
104
  "epoch": 9.84,
105
- "eval_accuracy": 0.9076923076923077,
106
- "eval_loss": 0.3517535626888275,
107
- "eval_runtime": 4.7127,
108
- "eval_samples_per_second": 13.792,
109
- "eval_steps_per_second": 0.637,
110
  "step": 40
111
  },
112
  {
113
  "epoch": 10.84,
114
  "eval_accuracy": 0.8923076923076924,
115
- "eval_loss": 0.3229323625564575,
116
- "eval_runtime": 4.2434,
117
- "eval_samples_per_second": 15.318,
118
- "eval_steps_per_second": 0.707,
119
  "step": 44
120
  },
121
  {
122
  "epoch": 11.84,
123
- "eval_accuracy": 0.9384615384615385,
124
- "eval_loss": 0.2324085831642151,
125
- "eval_runtime": 4.734,
126
- "eval_samples_per_second": 13.731,
127
- "eval_steps_per_second": 0.634,
128
  "step": 48
129
  },
130
  {
131
  "epoch": 12.84,
132
- "eval_accuracy": 0.9384615384615385,
133
- "eval_loss": 0.23686641454696655,
134
- "eval_runtime": 4.3354,
135
- "eval_samples_per_second": 14.993,
136
- "eval_steps_per_second": 0.692,
137
  "step": 52
138
  },
139
  {
140
  "epoch": 13.84,
141
- "eval_accuracy": 0.9384615384615385,
142
- "eval_loss": 0.21190524101257324,
143
- "eval_runtime": 4.793,
144
- "eval_samples_per_second": 13.561,
145
- "eval_steps_per_second": 0.626,
146
  "step": 56
147
  },
148
  {
149
  "epoch": 14.84,
150
  "learning_rate": 4.166666666666667e-05,
151
- "loss": 0.6335,
152
  "step": 60
153
  },
154
  {
155
  "epoch": 14.84,
156
- "eval_accuracy": 0.9384615384615385,
157
- "eval_loss": 0.18046662211418152,
158
- "eval_runtime": 4.2602,
159
- "eval_samples_per_second": 15.257,
160
- "eval_steps_per_second": 0.704,
161
  "step": 60
162
  },
163
  {
164
  "epoch": 15.84,
165
- "eval_accuracy": 0.9076923076923077,
166
- "eval_loss": 0.21350829303264618,
167
- "eval_runtime": 4.7427,
168
- "eval_samples_per_second": 13.705,
169
- "eval_steps_per_second": 0.633,
170
  "step": 64
171
  },
172
  {
173
  "epoch": 16.84,
174
- "eval_accuracy": 0.9230769230769231,
175
- "eval_loss": 0.1889328807592392,
176
- "eval_runtime": 4.2616,
177
- "eval_samples_per_second": 15.253,
178
- "eval_steps_per_second": 0.704,
179
  "step": 68
180
  },
181
  {
182
  "epoch": 17.84,
183
- "eval_accuracy": 0.9538461538461539,
184
- "eval_loss": 0.16009008884429932,
185
- "eval_runtime": 4.7629,
186
- "eval_samples_per_second": 13.647,
187
- "eval_steps_per_second": 0.63,
188
  "step": 72
189
  },
190
  {
191
  "epoch": 18.84,
192
- "eval_accuracy": 0.9692307692307692,
193
- "eval_loss": 0.14124387502670288,
194
- "eval_runtime": 4.3251,
195
- "eval_samples_per_second": 15.029,
196
- "eval_steps_per_second": 0.694,
197
  "step": 76
198
  },
199
  {
200
  "epoch": 19.84,
201
  "learning_rate": 3.7037037037037037e-05,
202
- "loss": 0.5133,
203
  "step": 80
204
  },
205
  {
206
  "epoch": 19.84,
207
- "eval_accuracy": 0.9538461538461539,
208
- "eval_loss": 0.14968368411064148,
209
- "eval_runtime": 4.7085,
210
- "eval_samples_per_second": 13.805,
211
- "eval_steps_per_second": 0.637,
212
  "step": 80
213
  },
214
  {
215
  "epoch": 20.84,
216
- "eval_accuracy": 0.9538461538461539,
217
- "eval_loss": 0.15449711680412292,
218
- "eval_runtime": 4.2803,
219
- "eval_samples_per_second": 15.186,
220
- "eval_steps_per_second": 0.701,
221
  "step": 84
222
  },
223
  {
224
  "epoch": 21.84,
225
  "eval_accuracy": 0.9538461538461539,
226
- "eval_loss": 0.12975920736789703,
227
- "eval_runtime": 6.2107,
228
- "eval_samples_per_second": 10.466,
229
- "eval_steps_per_second": 0.483,
230
  "step": 88
231
  },
232
  {
233
  "epoch": 22.84,
234
- "eval_accuracy": 0.9538461538461539,
235
- "eval_loss": 0.14153267443180084,
236
- "eval_runtime": 4.2538,
237
- "eval_samples_per_second": 15.28,
238
- "eval_steps_per_second": 0.705,
239
  "step": 92
240
  },
241
  {
242
  "epoch": 23.84,
243
- "eval_accuracy": 0.9230769230769231,
244
- "eval_loss": 0.16845214366912842,
245
- "eval_runtime": 4.6805,
246
- "eval_samples_per_second": 13.888,
247
- "eval_steps_per_second": 0.641,
248
  "step": 96
249
  },
250
  {
251
  "epoch": 24.84,
252
  "learning_rate": 3.240740740740741e-05,
253
- "loss": 0.4383,
254
  "step": 100
255
  },
256
  {
257
  "epoch": 24.84,
258
  "eval_accuracy": 0.9384615384615385,
259
- "eval_loss": 0.13808518648147583,
260
- "eval_runtime": 4.2829,
261
- "eval_samples_per_second": 15.177,
262
- "eval_steps_per_second": 0.7,
263
  "step": 100
264
  },
265
  {
266
  "epoch": 25.84,
267
- "eval_accuracy": 0.9846153846153847,
268
- "eval_loss": 0.1295621246099472,
269
- "eval_runtime": 4.717,
270
- "eval_samples_per_second": 13.78,
271
- "eval_steps_per_second": 0.636,
272
  "step": 104
273
  },
274
  {
275
  "epoch": 26.84,
276
- "eval_accuracy": 0.9538461538461539,
277
- "eval_loss": 0.1106828972697258,
278
- "eval_runtime": 4.4246,
279
- "eval_samples_per_second": 14.691,
280
- "eval_steps_per_second": 0.678,
281
  "step": 108
282
  },
283
  {
284
  "epoch": 27.84,
285
- "eval_accuracy": 0.9384615384615385,
286
- "eval_loss": 0.12369797378778458,
287
- "eval_runtime": 4.7653,
288
- "eval_samples_per_second": 13.64,
289
- "eval_steps_per_second": 0.63,
290
  "step": 112
291
  },
292
  {
293
  "epoch": 28.84,
294
- "eval_accuracy": 0.9538461538461539,
295
- "eval_loss": 0.1366400122642517,
296
- "eval_runtime": 4.3203,
297
- "eval_samples_per_second": 15.045,
298
- "eval_steps_per_second": 0.694,
299
  "step": 116
300
  },
301
  {
302
  "epoch": 29.84,
303
  "learning_rate": 2.777777777777778e-05,
304
- "loss": 0.4149,
305
  "step": 120
306
  },
307
  {
308
  "epoch": 29.84,
309
- "eval_accuracy": 0.9692307692307692,
310
- "eval_loss": 0.13494354486465454,
311
- "eval_runtime": 4.6686,
312
- "eval_samples_per_second": 13.923,
313
- "eval_steps_per_second": 0.643,
314
  "step": 120
315
  },
316
  {
317
  "epoch": 30.84,
318
- "eval_accuracy": 0.9846153846153847,
319
- "eval_loss": 0.10458508133888245,
320
- "eval_runtime": 4.2843,
321
- "eval_samples_per_second": 15.172,
322
- "eval_steps_per_second": 0.7,
323
  "step": 124
324
  },
325
  {
326
  "epoch": 31.84,
327
- "eval_accuracy": 0.9846153846153847,
328
- "eval_loss": 0.0881725624203682,
329
- "eval_runtime": 4.7053,
330
- "eval_samples_per_second": 13.814,
331
- "eval_steps_per_second": 0.638,
332
  "step": 128
333
  },
334
  {
335
  "epoch": 32.84,
336
- "eval_accuracy": 0.9846153846153847,
337
- "eval_loss": 0.10219049453735352,
338
- "eval_runtime": 4.3211,
339
- "eval_samples_per_second": 15.042,
340
- "eval_steps_per_second": 0.694,
341
  "step": 132
342
  },
343
  {
344
  "epoch": 33.84,
345
  "eval_accuracy": 0.9692307692307692,
346
- "eval_loss": 0.12066025286912918,
347
- "eval_runtime": 4.8023,
348
- "eval_samples_per_second": 13.535,
349
- "eval_steps_per_second": 0.625,
350
  "step": 136
351
  },
352
  {
353
  "epoch": 34.84,
354
  "learning_rate": 2.314814814814815e-05,
355
- "loss": 0.3657,
356
  "step": 140
357
  },
358
  {
359
  "epoch": 34.84,
360
- "eval_accuracy": 0.9538461538461539,
361
- "eval_loss": 0.11678420007228851,
362
- "eval_runtime": 4.4027,
363
- "eval_samples_per_second": 14.764,
364
- "eval_steps_per_second": 0.681,
365
  "step": 140
366
  },
367
  {
368
  "epoch": 35.84,
369
- "eval_accuracy": 0.9846153846153847,
370
- "eval_loss": 0.09219826757907867,
371
- "eval_runtime": 6.9593,
372
- "eval_samples_per_second": 9.34,
373
- "eval_steps_per_second": 0.431,
374
  "step": 144
375
  },
376
  {
377
  "epoch": 36.84,
378
- "eval_accuracy": 0.9846153846153847,
379
- "eval_loss": 0.09314019978046417,
380
- "eval_runtime": 4.3,
381
- "eval_samples_per_second": 15.116,
382
- "eval_steps_per_second": 0.698,
383
  "step": 148
384
  },
385
  {
386
  "epoch": 37.84,
387
  "eval_accuracy": 0.9692307692307692,
388
- "eval_loss": 0.10055378824472427,
389
- "eval_runtime": 4.7227,
390
- "eval_samples_per_second": 13.763,
391
- "eval_steps_per_second": 0.635,
392
  "step": 152
393
  },
394
  {
395
  "epoch": 38.84,
396
- "eval_accuracy": 0.9692307692307692,
397
- "eval_loss": 0.09866410493850708,
398
- "eval_runtime": 4.3725,
399
- "eval_samples_per_second": 14.866,
400
- "eval_steps_per_second": 0.686,
401
  "step": 156
402
  },
403
  {
404
  "epoch": 39.84,
405
  "learning_rate": 1.8518518518518518e-05,
406
- "loss": 0.3294,
407
  "step": 160
408
  },
409
  {
410
  "epoch": 39.84,
411
- "eval_accuracy": 0.9692307692307692,
412
- "eval_loss": 0.11275947839021683,
413
- "eval_runtime": 4.6903,
414
- "eval_samples_per_second": 13.858,
415
- "eval_steps_per_second": 0.64,
416
  "step": 160
417
  },
418
  {
419
  "epoch": 40.84,
420
- "eval_accuracy": 0.9538461538461539,
421
- "eval_loss": 0.11520560085773468,
422
- "eval_runtime": 4.3303,
423
- "eval_samples_per_second": 15.01,
424
- "eval_steps_per_second": 0.693,
425
  "step": 164
426
  },
427
  {
428
  "epoch": 41.84,
429
  "eval_accuracy": 0.9538461538461539,
430
- "eval_loss": 0.09974207729101181,
431
- "eval_runtime": 4.7259,
432
- "eval_samples_per_second": 13.754,
433
- "eval_steps_per_second": 0.635,
434
  "step": 168
435
  },
436
  {
437
  "epoch": 42.84,
438
  "eval_accuracy": 0.9692307692307692,
439
- "eval_loss": 0.09684933722019196,
440
- "eval_runtime": 4.3525,
441
- "eval_samples_per_second": 14.934,
442
- "eval_steps_per_second": 0.689,
443
  "step": 172
444
  },
445
  {
446
  "epoch": 43.84,
447
- "eval_accuracy": 0.9846153846153847,
448
- "eval_loss": 0.08187751471996307,
449
- "eval_runtime": 4.6538,
450
- "eval_samples_per_second": 13.967,
451
- "eval_steps_per_second": 0.645,
452
  "step": 176
453
  },
454
  {
455
  "epoch": 44.84,
456
  "learning_rate": 1.388888888888889e-05,
457
- "loss": 0.3198,
458
  "step": 180
459
  },
460
  {
461
  "epoch": 44.84,
462
- "eval_accuracy": 0.9846153846153847,
463
- "eval_loss": 0.07292691618204117,
464
- "eval_runtime": 4.3483,
465
- "eval_samples_per_second": 14.948,
466
- "eval_steps_per_second": 0.69,
467
  "step": 180
468
  },
469
  {
470
  "epoch": 45.84,
471
- "eval_accuracy": 0.9846153846153847,
472
- "eval_loss": 0.07438476383686066,
473
- "eval_runtime": 4.8323,
474
- "eval_samples_per_second": 13.451,
475
- "eval_steps_per_second": 0.621,
476
  "step": 184
477
  },
478
  {
479
  "epoch": 46.84,
480
  "eval_accuracy": 0.9692307692307692,
481
- "eval_loss": 0.09510225057601929,
482
- "eval_runtime": 4.3498,
483
- "eval_samples_per_second": 14.943,
484
- "eval_steps_per_second": 0.69,
485
  "step": 188
486
  },
487
  {
488
  "epoch": 47.84,
489
  "eval_accuracy": 0.9692307692307692,
490
- "eval_loss": 0.09657642990350723,
491
- "eval_runtime": 4.7293,
492
- "eval_samples_per_second": 13.744,
493
- "eval_steps_per_second": 0.634,
494
  "step": 192
495
  },
496
  {
497
  "epoch": 48.84,
498
- "eval_accuracy": 0.9846153846153847,
499
- "eval_loss": 0.08329986035823822,
500
- "eval_runtime": 4.2989,
501
- "eval_samples_per_second": 15.12,
502
- "eval_steps_per_second": 0.698,
503
  "step": 196
504
  },
505
  {
506
  "epoch": 49.84,
507
  "learning_rate": 9.259259259259259e-06,
508
- "loss": 0.2936,
509
  "step": 200
510
  },
511
  {
512
  "epoch": 49.84,
513
- "eval_accuracy": 0.9846153846153847,
514
- "eval_loss": 0.06941184401512146,
515
- "eval_runtime": 4.7066,
516
- "eval_samples_per_second": 13.811,
517
- "eval_steps_per_second": 0.637,
518
  "step": 200
519
  },
520
  {
521
  "epoch": 50.84,
522
- "eval_accuracy": 0.9846153846153847,
523
- "eval_loss": 0.06908843666315079,
524
- "eval_runtime": 4.3338,
525
- "eval_samples_per_second": 14.999,
526
- "eval_steps_per_second": 0.692,
527
  "step": 204
528
  },
529
  {
530
  "epoch": 51.84,
531
- "eval_accuracy": 0.9846153846153847,
532
- "eval_loss": 0.0735919326543808,
533
- "eval_runtime": 4.7155,
534
- "eval_samples_per_second": 13.784,
535
- "eval_steps_per_second": 0.636,
536
  "step": 208
537
  },
538
  {
539
  "epoch": 52.84,
540
  "eval_accuracy": 0.9692307692307692,
541
- "eval_loss": 0.08048100024461746,
542
- "eval_runtime": 4.337,
543
- "eval_samples_per_second": 14.987,
544
- "eval_steps_per_second": 0.692,
545
  "step": 212
546
  },
547
  {
548
  "epoch": 53.84,
549
- "eval_accuracy": 0.9846153846153847,
550
- "eval_loss": 0.08007017523050308,
551
- "eval_runtime": 4.765,
552
- "eval_samples_per_second": 13.641,
553
- "eval_steps_per_second": 0.63,
554
  "step": 216
555
  },
556
  {
557
  "epoch": 54.84,
558
  "learning_rate": 4.6296296296296296e-06,
559
- "loss": 0.3127,
560
  "step": 220
561
  },
562
  {
563
  "epoch": 54.84,
564
- "eval_accuracy": 0.9846153846153847,
565
- "eval_loss": 0.0826273187994957,
566
- "eval_runtime": 4.2934,
567
- "eval_samples_per_second": 15.139,
568
- "eval_steps_per_second": 0.699,
569
  "step": 220
570
  },
571
  {
572
  "epoch": 55.84,
573
  "eval_accuracy": 0.9692307692307692,
574
- "eval_loss": 0.08565446734428406,
575
- "eval_runtime": 4.7099,
576
- "eval_samples_per_second": 13.801,
577
- "eval_steps_per_second": 0.637,
578
  "step": 224
579
  },
580
  {
581
  "epoch": 56.84,
582
- "eval_accuracy": 0.9846153846153847,
583
- "eval_loss": 0.0864274650812149,
584
- "eval_runtime": 4.246,
585
- "eval_samples_per_second": 15.309,
586
- "eval_steps_per_second": 0.707,
587
  "step": 228
588
  },
589
  {
590
  "epoch": 57.84,
591
- "eval_accuracy": 0.9846153846153847,
592
- "eval_loss": 0.08776658028364182,
593
- "eval_runtime": 4.758,
594
- "eval_samples_per_second": 13.661,
595
- "eval_steps_per_second": 0.631,
596
  "step": 232
597
  },
598
  {
599
  "epoch": 58.84,
600
- "eval_accuracy": 0.9846153846153847,
601
- "eval_loss": 0.08772400766611099,
602
- "eval_runtime": 4.2874,
603
- "eval_samples_per_second": 15.161,
604
- "eval_steps_per_second": 0.7,
605
  "step": 236
606
  },
607
  {
608
  "epoch": 59.84,
609
  "learning_rate": 0.0,
610
- "loss": 0.285,
611
  "step": 240
612
  },
613
  {
614
  "epoch": 59.84,
615
- "eval_accuracy": 0.9846153846153847,
616
- "eval_loss": 0.08735792338848114,
617
- "eval_runtime": 4.7501,
618
- "eval_samples_per_second": 13.684,
619
- "eval_steps_per_second": 0.632,
620
  "step": 240
621
  },
622
  {
623
  "epoch": 59.84,
624
  "step": 240,
625
  "total_flos": 8.648855308501955e+17,
626
- "train_loss": 0.577343902985255,
627
- "train_runtime": 4213.9216,
628
- "train_samples_per_second": 8.273,
629
- "train_steps_per_second": 0.057
630
  }
631
  ],
632
  "max_steps": 240,
 
1
  {
2
+ "best_metric": 0.9692307692307692,
3
+ "best_model_checkpoint": "delivery_truck_classification/checkpoint-56",
4
  "epoch": 59.8421052631579,
5
  "global_step": 240,
6
  "is_hyper_param_search": false,
 
9
  "log_history": [
10
  {
11
  "epoch": 0.84,
12
+ "eval_accuracy": 0.18461538461538463,
13
+ "eval_loss": 1.9335094690322876,
14
+ "eval_runtime": 4.2505,
15
+ "eval_samples_per_second": 15.292,
16
+ "eval_steps_per_second": 0.706,
17
  "step": 4
18
  },
19
  {
20
  "epoch": 1.84,
21
+ "eval_accuracy": 0.26153846153846155,
22
+ "eval_loss": 1.83644700050354,
23
+ "eval_runtime": 4.7909,
24
+ "eval_samples_per_second": 13.567,
25
+ "eval_steps_per_second": 0.626,
26
  "step": 8
27
  },
28
  {
29
  "epoch": 2.84,
30
+ "eval_accuracy": 0.38461538461538464,
31
+ "eval_loss": 1.7054301500320435,
32
+ "eval_runtime": 4.2339,
33
+ "eval_samples_per_second": 15.352,
34
+ "eval_steps_per_second": 0.709,
35
  "step": 12
36
  },
37
  {
38
  "epoch": 3.84,
39
+ "eval_accuracy": 0.4153846153846154,
40
+ "eval_loss": 1.5629212856292725,
41
+ "eval_runtime": 4.6,
42
+ "eval_samples_per_second": 14.13,
43
+ "eval_steps_per_second": 0.652,
44
  "step": 16
45
  },
46
  {
47
  "epoch": 4.84,
48
  "learning_rate": 4.166666666666667e-05,
49
+ "loss": 2.0106,
50
  "step": 20
51
  },
52
  {
53
  "epoch": 4.84,
54
+ "eval_accuracy": 0.47692307692307695,
55
+ "eval_loss": 1.3906540870666504,
56
+ "eval_runtime": 4.2108,
57
+ "eval_samples_per_second": 15.437,
58
+ "eval_steps_per_second": 0.712,
59
  "step": 20
60
  },
61
  {
62
  "epoch": 5.84,
63
+ "eval_accuracy": 0.5692307692307692,
64
+ "eval_loss": 1.1983743906021118,
65
+ "eval_runtime": 4.4922,
66
+ "eval_samples_per_second": 14.47,
67
+ "eval_steps_per_second": 0.668,
68
  "step": 24
69
  },
70
  {
71
  "epoch": 6.84,
72
+ "eval_accuracy": 0.6615384615384615,
73
+ "eval_loss": 0.951930582523346,
74
+ "eval_runtime": 4.3052,
75
+ "eval_samples_per_second": 15.098,
76
+ "eval_steps_per_second": 0.697,
77
  "step": 28
78
  },
79
  {
80
  "epoch": 7.84,
81
+ "eval_accuracy": 0.7846153846153846,
82
+ "eval_loss": 0.7509785294532776,
83
+ "eval_runtime": 4.6224,
84
+ "eval_samples_per_second": 14.062,
85
+ "eval_steps_per_second": 0.649,
86
  "step": 32
87
  },
88
  {
89
  "epoch": 8.84,
90
+ "eval_accuracy": 0.8615384615384616,
91
+ "eval_loss": 0.5749186277389526,
92
+ "eval_runtime": 5.8947,
93
+ "eval_samples_per_second": 11.027,
94
+ "eval_steps_per_second": 0.509,
95
  "step": 36
96
  },
97
  {
98
  "epoch": 9.84,
99
  "learning_rate": 4.62962962962963e-05,
100
+ "loss": 1.1009,
101
  "step": 40
102
  },
103
  {
104
  "epoch": 9.84,
105
+ "eval_accuracy": 0.9384615384615385,
106
+ "eval_loss": 0.42441025376319885,
107
+ "eval_runtime": 4.917,
108
+ "eval_samples_per_second": 13.219,
109
+ "eval_steps_per_second": 0.61,
110
  "step": 40
111
  },
112
  {
113
  "epoch": 10.84,
114
  "eval_accuracy": 0.8923076923076924,
115
+ "eval_loss": 0.3652417063713074,
116
+ "eval_runtime": 4.3232,
117
+ "eval_samples_per_second": 15.035,
118
+ "eval_steps_per_second": 0.694,
119
  "step": 44
120
  },
121
  {
122
  "epoch": 11.84,
123
+ "eval_accuracy": 0.9538461538461539,
124
+ "eval_loss": 0.2734673023223877,
125
+ "eval_runtime": 4.5868,
126
+ "eval_samples_per_second": 14.171,
127
+ "eval_steps_per_second": 0.654,
128
  "step": 48
129
  },
130
  {
131
  "epoch": 12.84,
132
+ "eval_accuracy": 0.8923076923076924,
133
+ "eval_loss": 0.29086846113204956,
134
+ "eval_runtime": 4.5389,
135
+ "eval_samples_per_second": 14.321,
136
+ "eval_steps_per_second": 0.661,
137
  "step": 52
138
  },
139
  {
140
  "epoch": 13.84,
141
+ "eval_accuracy": 0.9692307692307692,
142
+ "eval_loss": 0.22925466299057007,
143
+ "eval_runtime": 4.2293,
144
+ "eval_samples_per_second": 15.369,
145
+ "eval_steps_per_second": 0.709,
146
  "step": 56
147
  },
148
  {
149
  "epoch": 14.84,
150
  "learning_rate": 4.166666666666667e-05,
151
+ "loss": 0.6329,
152
  "step": 60
153
  },
154
  {
155
  "epoch": 14.84,
156
+ "eval_accuracy": 0.9076923076923077,
157
+ "eval_loss": 0.2562795877456665,
158
+ "eval_runtime": 4.6895,
159
+ "eval_samples_per_second": 13.861,
160
+ "eval_steps_per_second": 0.64,
161
  "step": 60
162
  },
163
  {
164
  "epoch": 15.84,
165
+ "eval_accuracy": 0.9230769230769231,
166
+ "eval_loss": 0.22179557383060455,
167
+ "eval_runtime": 4.4085,
168
+ "eval_samples_per_second": 14.744,
169
+ "eval_steps_per_second": 0.681,
170
  "step": 64
171
  },
172
  {
173
  "epoch": 16.84,
174
+ "eval_accuracy": 0.9538461538461539,
175
+ "eval_loss": 0.21023423969745636,
176
+ "eval_runtime": 4.6409,
177
+ "eval_samples_per_second": 14.006,
178
+ "eval_steps_per_second": 0.646,
179
  "step": 68
180
  },
181
  {
182
  "epoch": 17.84,
183
+ "eval_accuracy": 0.9230769230769231,
184
+ "eval_loss": 0.18287315964698792,
185
+ "eval_runtime": 4.2374,
186
+ "eval_samples_per_second": 15.339,
187
+ "eval_steps_per_second": 0.708,
188
  "step": 72
189
  },
190
  {
191
  "epoch": 18.84,
192
+ "eval_accuracy": 0.9230769230769231,
193
+ "eval_loss": 0.1991574615240097,
194
+ "eval_runtime": 4.6374,
195
+ "eval_samples_per_second": 14.016,
196
+ "eval_steps_per_second": 0.647,
197
  "step": 76
198
  },
199
  {
200
  "epoch": 19.84,
201
  "learning_rate": 3.7037037037037037e-05,
202
+ "loss": 0.497,
203
  "step": 80
204
  },
205
  {
206
  "epoch": 19.84,
207
+ "eval_accuracy": 0.9230769230769231,
208
+ "eval_loss": 0.18140976130962372,
209
+ "eval_runtime": 4.3083,
210
+ "eval_samples_per_second": 15.087,
211
+ "eval_steps_per_second": 0.696,
212
  "step": 80
213
  },
214
  {
215
  "epoch": 20.84,
216
+ "eval_accuracy": 0.9384615384615385,
217
+ "eval_loss": 0.18073710799217224,
218
+ "eval_runtime": 4.692,
219
+ "eval_samples_per_second": 13.853,
220
+ "eval_steps_per_second": 0.639,
221
  "step": 84
222
  },
223
  {
224
  "epoch": 21.84,
225
  "eval_accuracy": 0.9538461538461539,
226
+ "eval_loss": 0.17651371657848358,
227
+ "eval_runtime": 4.3195,
228
+ "eval_samples_per_second": 15.048,
229
+ "eval_steps_per_second": 0.695,
230
  "step": 88
231
  },
232
  {
233
  "epoch": 22.84,
234
+ "eval_accuracy": 0.9230769230769231,
235
+ "eval_loss": 0.18682582676410675,
236
+ "eval_runtime": 4.7596,
237
+ "eval_samples_per_second": 13.657,
238
+ "eval_steps_per_second": 0.63,
239
  "step": 92
240
  },
241
  {
242
  "epoch": 23.84,
243
+ "eval_accuracy": 0.9384615384615385,
244
+ "eval_loss": 0.20892775058746338,
245
+ "eval_runtime": 4.337,
246
+ "eval_samples_per_second": 14.987,
247
+ "eval_steps_per_second": 0.692,
248
  "step": 96
249
  },
250
  {
251
  "epoch": 24.84,
252
  "learning_rate": 3.240740740740741e-05,
253
+ "loss": 0.4198,
254
  "step": 100
255
  },
256
  {
257
  "epoch": 24.84,
258
  "eval_accuracy": 0.9384615384615385,
259
+ "eval_loss": 0.18977122008800507,
260
+ "eval_runtime": 4.6813,
261
+ "eval_samples_per_second": 13.885,
262
+ "eval_steps_per_second": 0.641,
263
  "step": 100
264
  },
265
  {
266
  "epoch": 25.84,
267
+ "eval_accuracy": 0.9230769230769231,
268
+ "eval_loss": 0.20645342767238617,
269
+ "eval_runtime": 4.2709,
270
+ "eval_samples_per_second": 15.219,
271
+ "eval_steps_per_second": 0.702,
272
  "step": 104
273
  },
274
  {
275
  "epoch": 26.84,
276
+ "eval_accuracy": 0.9230769230769231,
277
+ "eval_loss": 0.18446099758148193,
278
+ "eval_runtime": 4.7129,
279
+ "eval_samples_per_second": 13.792,
280
+ "eval_steps_per_second": 0.637,
281
  "step": 108
282
  },
283
  {
284
  "epoch": 27.84,
285
+ "eval_accuracy": 0.9230769230769231,
286
+ "eval_loss": 0.17242665588855743,
287
+ "eval_runtime": 4.2634,
288
+ "eval_samples_per_second": 15.246,
289
+ "eval_steps_per_second": 0.704,
290
  "step": 112
291
  },
292
  {
293
  "epoch": 28.84,
294
+ "eval_accuracy": 0.9384615384615385,
295
+ "eval_loss": 0.1611722856760025,
296
+ "eval_runtime": 4.5386,
297
+ "eval_samples_per_second": 14.322,
298
+ "eval_steps_per_second": 0.661,
299
  "step": 116
300
  },
301
  {
302
  "epoch": 29.84,
303
  "learning_rate": 2.777777777777778e-05,
304
+ "loss": 0.368,
305
  "step": 120
306
  },
307
  {
308
  "epoch": 29.84,
309
+ "eval_accuracy": 0.9538461538461539,
310
+ "eval_loss": 0.15382908284664154,
311
+ "eval_runtime": 5.2863,
312
+ "eval_samples_per_second": 12.296,
313
+ "eval_steps_per_second": 0.567,
314
  "step": 120
315
  },
316
  {
317
  "epoch": 30.84,
318
+ "eval_accuracy": 0.9538461538461539,
319
+ "eval_loss": 0.15675745904445648,
320
+ "eval_runtime": 4.6707,
321
+ "eval_samples_per_second": 13.916,
322
+ "eval_steps_per_second": 0.642,
323
  "step": 124
324
  },
325
  {
326
  "epoch": 31.84,
327
+ "eval_accuracy": 0.9692307692307692,
328
+ "eval_loss": 0.14750127494335175,
329
+ "eval_runtime": 4.2141,
330
+ "eval_samples_per_second": 15.425,
331
+ "eval_steps_per_second": 0.712,
332
  "step": 128
333
  },
334
  {
335
  "epoch": 32.84,
336
+ "eval_accuracy": 0.9538461538461539,
337
+ "eval_loss": 0.14530035853385925,
338
+ "eval_runtime": 4.5446,
339
+ "eval_samples_per_second": 14.303,
340
+ "eval_steps_per_second": 0.66,
341
  "step": 132
342
  },
343
  {
344
  "epoch": 33.84,
345
  "eval_accuracy": 0.9692307692307692,
346
+ "eval_loss": 0.1576438844203949,
347
+ "eval_runtime": 4.2804,
348
+ "eval_samples_per_second": 15.186,
349
+ "eval_steps_per_second": 0.701,
350
  "step": 136
351
  },
352
  {
353
  "epoch": 34.84,
354
  "learning_rate": 2.314814814814815e-05,
355
+ "loss": 0.3709,
356
  "step": 140
357
  },
358
  {
359
  "epoch": 34.84,
360
+ "eval_accuracy": 0.9692307692307692,
361
+ "eval_loss": 0.14298613369464874,
362
+ "eval_runtime": 4.6347,
363
+ "eval_samples_per_second": 14.025,
364
+ "eval_steps_per_second": 0.647,
365
  "step": 140
366
  },
367
  {
368
  "epoch": 35.84,
369
+ "eval_accuracy": 0.9692307692307692,
370
+ "eval_loss": 0.13841809332370758,
371
+ "eval_runtime": 4.3512,
372
+ "eval_samples_per_second": 14.938,
373
+ "eval_steps_per_second": 0.689,
374
  "step": 144
375
  },
376
  {
377
  "epoch": 36.84,
378
+ "eval_accuracy": 0.9692307692307692,
379
+ "eval_loss": 0.14322978258132935,
380
+ "eval_runtime": 4.6696,
381
+ "eval_samples_per_second": 13.92,
382
+ "eval_steps_per_second": 0.642,
383
  "step": 148
384
  },
385
  {
386
  "epoch": 37.84,
387
  "eval_accuracy": 0.9692307692307692,
388
+ "eval_loss": 0.13474790751934052,
389
+ "eval_runtime": 4.2951,
390
+ "eval_samples_per_second": 15.133,
391
+ "eval_steps_per_second": 0.698,
392
  "step": 152
393
  },
394
  {
395
  "epoch": 38.84,
396
+ "eval_accuracy": 0.9538461538461539,
397
+ "eval_loss": 0.1358633041381836,
398
+ "eval_runtime": 4.6622,
399
+ "eval_samples_per_second": 13.942,
400
+ "eval_steps_per_second": 0.643,
401
  "step": 156
402
  },
403
  {
404
  "epoch": 39.84,
405
  "learning_rate": 1.8518518518518518e-05,
406
+ "loss": 0.3373,
407
  "step": 160
408
  },
409
  {
410
  "epoch": 39.84,
411
+ "eval_accuracy": 0.9538461538461539,
412
+ "eval_loss": 0.15974925458431244,
413
+ "eval_runtime": 4.2867,
414
+ "eval_samples_per_second": 15.163,
415
+ "eval_steps_per_second": 0.7,
416
  "step": 160
417
  },
418
  {
419
  "epoch": 40.84,
420
+ "eval_accuracy": 0.9692307692307692,
421
+ "eval_loss": 0.15224121510982513,
422
+ "eval_runtime": 4.6977,
423
+ "eval_samples_per_second": 13.837,
424
+ "eval_steps_per_second": 0.639,
425
  "step": 164
426
  },
427
  {
428
  "epoch": 41.84,
429
  "eval_accuracy": 0.9538461538461539,
430
+ "eval_loss": 0.14772085845470428,
431
+ "eval_runtime": 4.316,
432
+ "eval_samples_per_second": 15.06,
433
+ "eval_steps_per_second": 0.695,
434
  "step": 168
435
  },
436
  {
437
  "epoch": 42.84,
438
  "eval_accuracy": 0.9692307692307692,
439
+ "eval_loss": 0.1480209231376648,
440
+ "eval_runtime": 4.7164,
441
+ "eval_samples_per_second": 13.782,
442
+ "eval_steps_per_second": 0.636,
443
  "step": 172
444
  },
445
  {
446
  "epoch": 43.84,
447
+ "eval_accuracy": 0.9692307692307692,
448
+ "eval_loss": 0.14724673330783844,
449
+ "eval_runtime": 4.3123,
450
+ "eval_samples_per_second": 15.073,
451
+ "eval_steps_per_second": 0.696,
452
  "step": 176
453
  },
454
  {
455
  "epoch": 44.84,
456
  "learning_rate": 1.388888888888889e-05,
457
+ "loss": 0.3342,
458
  "step": 180
459
  },
460
  {
461
  "epoch": 44.84,
462
+ "eval_accuracy": 0.9692307692307692,
463
+ "eval_loss": 0.14734135568141937,
464
+ "eval_runtime": 4.5929,
465
+ "eval_samples_per_second": 14.152,
466
+ "eval_steps_per_second": 0.653,
467
  "step": 180
468
  },
469
  {
470
  "epoch": 45.84,
471
+ "eval_accuracy": 0.9692307692307692,
472
+ "eval_loss": 0.14583279192447662,
473
+ "eval_runtime": 4.3738,
474
+ "eval_samples_per_second": 14.861,
475
+ "eval_steps_per_second": 0.686,
476
  "step": 184
477
  },
478
  {
479
  "epoch": 46.84,
480
  "eval_accuracy": 0.9692307692307692,
481
+ "eval_loss": 0.15290141105651855,
482
+ "eval_runtime": 4.6815,
483
+ "eval_samples_per_second": 13.884,
484
+ "eval_steps_per_second": 0.641,
485
  "step": 188
486
  },
487
  {
488
  "epoch": 47.84,
489
  "eval_accuracy": 0.9692307692307692,
490
+ "eval_loss": 0.15495683252811432,
491
+ "eval_runtime": 4.3181,
492
+ "eval_samples_per_second": 15.053,
493
+ "eval_steps_per_second": 0.695,
494
  "step": 192
495
  },
496
  {
497
  "epoch": 48.84,
498
+ "eval_accuracy": 0.9692307692307692,
499
+ "eval_loss": 0.14939415454864502,
500
+ "eval_runtime": 4.7194,
501
+ "eval_samples_per_second": 13.773,
502
+ "eval_steps_per_second": 0.636,
503
  "step": 196
504
  },
505
  {
506
  "epoch": 49.84,
507
  "learning_rate": 9.259259259259259e-06,
508
+ "loss": 0.2914,
509
  "step": 200
510
  },
511
  {
512
  "epoch": 49.84,
513
+ "eval_accuracy": 0.9692307692307692,
514
+ "eval_loss": 0.1469651609659195,
515
+ "eval_runtime": 4.259,
516
+ "eval_samples_per_second": 15.262,
517
+ "eval_steps_per_second": 0.704,
518
  "step": 200
519
  },
520
  {
521
  "epoch": 50.84,
522
+ "eval_accuracy": 0.9692307692307692,
523
+ "eval_loss": 0.146009162068367,
524
+ "eval_runtime": 4.6878,
525
+ "eval_samples_per_second": 13.866,
526
+ "eval_steps_per_second": 0.64,
527
  "step": 204
528
  },
529
  {
530
  "epoch": 51.84,
531
+ "eval_accuracy": 0.9692307692307692,
532
+ "eval_loss": 0.14776931703090668,
533
+ "eval_runtime": 4.265,
534
+ "eval_samples_per_second": 15.24,
535
+ "eval_steps_per_second": 0.703,
536
  "step": 208
537
  },
538
  {
539
  "epoch": 52.84,
540
  "eval_accuracy": 0.9692307692307692,
541
+ "eval_loss": 0.1481345295906067,
542
+ "eval_runtime": 4.5299,
543
+ "eval_samples_per_second": 14.349,
544
+ "eval_steps_per_second": 0.662,
545
  "step": 212
546
  },
547
  {
548
  "epoch": 53.84,
549
+ "eval_accuracy": 0.9692307692307692,
550
+ "eval_loss": 0.14605876803398132,
551
+ "eval_runtime": 4.1658,
552
+ "eval_samples_per_second": 15.603,
553
+ "eval_steps_per_second": 0.72,
554
  "step": 216
555
  },
556
  {
557
  "epoch": 54.84,
558
  "learning_rate": 4.6296296296296296e-06,
559
+ "loss": 0.2736,
560
  "step": 220
561
  },
562
  {
563
  "epoch": 54.84,
564
+ "eval_accuracy": 0.9692307692307692,
565
+ "eval_loss": 0.14581629633903503,
566
+ "eval_runtime": 4.4574,
567
+ "eval_samples_per_second": 14.583,
568
+ "eval_steps_per_second": 0.673,
569
  "step": 220
570
  },
571
  {
572
  "epoch": 55.84,
573
  "eval_accuracy": 0.9692307692307692,
574
+ "eval_loss": 0.14382527768611908,
575
+ "eval_runtime": 4.1183,
576
+ "eval_samples_per_second": 15.783,
577
+ "eval_steps_per_second": 0.728,
578
  "step": 224
579
  },
580
  {
581
  "epoch": 56.84,
582
+ "eval_accuracy": 0.9692307692307692,
583
+ "eval_loss": 0.14272591471672058,
584
+ "eval_runtime": 4.5294,
585
+ "eval_samples_per_second": 14.351,
586
+ "eval_steps_per_second": 0.662,
587
  "step": 228
588
  },
589
  {
590
  "epoch": 57.84,
591
+ "eval_accuracy": 0.9692307692307692,
592
+ "eval_loss": 0.14175653457641602,
593
+ "eval_runtime": 4.1288,
594
+ "eval_samples_per_second": 15.743,
595
+ "eval_steps_per_second": 0.727,
596
  "step": 232
597
  },
598
  {
599
  "epoch": 58.84,
600
+ "eval_accuracy": 0.9692307692307692,
601
+ "eval_loss": 0.140133798122406,
602
+ "eval_runtime": 4.5233,
603
+ "eval_samples_per_second": 14.37,
604
+ "eval_steps_per_second": 0.663,
605
  "step": 236
606
  },
607
  {
608
  "epoch": 59.84,
609
  "learning_rate": 0.0,
610
+ "loss": 0.2589,
611
  "step": 240
612
  },
613
  {
614
  "epoch": 59.84,
615
+ "eval_accuracy": 0.9692307692307692,
616
+ "eval_loss": 0.13985498249530792,
617
+ "eval_runtime": 4.4933,
618
+ "eval_samples_per_second": 14.466,
619
+ "eval_steps_per_second": 0.668,
620
  "step": 240
621
  },
622
  {
623
  "epoch": 59.84,
624
  "step": 240,
625
  "total_flos": 8.648855308501955e+17,
626
+ "train_loss": 0.5746380070845286,
627
+ "train_runtime": 4313.6028,
628
+ "train_samples_per_second": 8.081,
629
+ "train_steps_per_second": 0.056
630
  }
631
  ],
632
  "max_steps": 240,