JEdward7777 commited on
Commit
269885d
1 Parent(s): 7db85d2

End of training

Browse files
all_results.json CHANGED
@@ -2,12 +2,12 @@
2
  "epoch": 59.91,
3
  "eval_accuracy": 0.9733333333333334,
4
  "eval_loss": 0.1787085384130478,
5
- "eval_runtime": 4.6113,
6
- "eval_samples_per_second": 16.265,
7
- "eval_steps_per_second": 0.651,
8
  "total_flos": 1.0044714081093673e+18,
9
- "train_loss": 0.5910613632202149,
10
- "train_runtime": 5579.9163,
11
- "train_samples_per_second": 7.247,
12
- "train_steps_per_second": 0.054
13
  }
 
2
  "epoch": 59.91,
3
  "eval_accuracy": 0.9733333333333334,
4
  "eval_loss": 0.1787085384130478,
5
+ "eval_runtime": 4.6705,
6
+ "eval_samples_per_second": 16.058,
7
+ "eval_steps_per_second": 0.642,
8
  "total_flos": 1.0044714081093673e+18,
9
+ "train_loss": 0.3854776843388875,
10
+ "train_runtime": 7248.8786,
11
+ "train_samples_per_second": 5.579,
12
+ "train_steps_per_second": 0.041
13
  }
eval_results.json CHANGED
@@ -2,7 +2,7 @@
2
  "epoch": 59.91,
3
  "eval_accuracy": 0.9733333333333334,
4
  "eval_loss": 0.1787085384130478,
5
- "eval_runtime": 4.6113,
6
- "eval_samples_per_second": 16.265,
7
- "eval_steps_per_second": 0.651
8
  }
 
2
  "epoch": 59.91,
3
  "eval_accuracy": 0.9733333333333334,
4
  "eval_loss": 0.1787085384130478,
5
+ "eval_runtime": 4.6705,
6
+ "eval_samples_per_second": 16.058,
7
+ "eval_steps_per_second": 0.642
8
  }
runs/Jan30_12-33-31_0740e744f9c3/events.out.tfevents.1675095397.0740e744f9c3.236.4 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d2cdbc5cae70a037ee0cda577ddf28d05bcb67166f3d8de5e02f065018dc11de
3
+ size 363
train_results.json CHANGED
@@ -1,8 +1,8 @@
1
  {
2
  "epoch": 59.91,
3
  "total_flos": 1.0044714081093673e+18,
4
- "train_loss": 0.5910613632202149,
5
- "train_runtime": 5579.9163,
6
- "train_samples_per_second": 7.247,
7
- "train_steps_per_second": 0.054
8
  }
 
1
  {
2
  "epoch": 59.91,
3
  "total_flos": 1.0044714081093673e+18,
4
+ "train_loss": 0.3854776843388875,
5
+ "train_runtime": 7248.8786,
6
+ "train_samples_per_second": 5.579,
7
+ "train_steps_per_second": 0.041
8
  }
trainer_state.json CHANGED
@@ -1,6 +1,6 @@
1
  {
2
  "best_metric": 0.9733333333333334,
3
- "best_model_checkpoint": "delivery_truck_classification/checkpoint-155",
4
  "epoch": 59.90909090909091,
5
  "global_step": 300,
6
  "is_hyper_param_search": false,
@@ -9,642 +9,642 @@
9
  "log_history": [
10
  {
11
  "epoch": 0.91,
12
- "eval_accuracy": 0.06666666666666667,
13
- "eval_loss": 2.124830722808838,
14
- "eval_runtime": 4.5982,
15
- "eval_samples_per_second": 16.311,
16
- "eval_steps_per_second": 0.652,
17
  "step": 5
18
  },
19
  {
20
  "epoch": 1.91,
21
- "eval_accuracy": 0.24,
22
- "eval_loss": 1.922129511833191,
23
- "eval_runtime": 4.7321,
24
- "eval_samples_per_second": 15.849,
25
- "eval_steps_per_second": 0.634,
26
  "step": 10
27
  },
28
  {
29
  "epoch": 2.91,
30
- "eval_accuracy": 0.32,
31
- "eval_loss": 1.7176545858383179,
32
- "eval_runtime": 4.4837,
33
- "eval_samples_per_second": 16.727,
34
- "eval_steps_per_second": 0.669,
35
  "step": 15
36
  },
37
  {
38
  "epoch": 3.91,
39
- "learning_rate": 3.3333333333333335e-05,
40
- "loss": 2.0123,
41
  "step": 20
42
  },
43
  {
44
  "epoch": 3.91,
45
- "eval_accuracy": 0.4266666666666667,
46
- "eval_loss": 1.5490375757217407,
47
- "eval_runtime": 4.4804,
48
- "eval_samples_per_second": 16.74,
49
- "eval_steps_per_second": 0.67,
50
  "step": 20
51
  },
52
  {
53
  "epoch": 4.91,
54
- "eval_accuracy": 0.5333333333333333,
55
- "eval_loss": 1.3192248344421387,
56
- "eval_runtime": 4.5163,
57
- "eval_samples_per_second": 16.607,
58
- "eval_steps_per_second": 0.664,
59
  "step": 25
60
  },
61
  {
62
  "epoch": 5.91,
63
- "eval_accuracy": 0.64,
64
- "eval_loss": 1.0764085054397583,
65
- "eval_runtime": 4.4752,
66
- "eval_samples_per_second": 16.759,
67
- "eval_steps_per_second": 0.67,
68
  "step": 30
69
  },
70
  {
71
  "epoch": 6.91,
72
- "eval_accuracy": 0.76,
73
- "eval_loss": 0.8421124219894409,
74
- "eval_runtime": 4.5472,
75
- "eval_samples_per_second": 16.494,
76
- "eval_steps_per_second": 0.66,
77
  "step": 35
78
  },
79
  {
80
  "epoch": 7.91,
81
- "learning_rate": 4.814814814814815e-05,
82
- "loss": 1.3539,
83
  "step": 40
84
  },
85
  {
86
  "epoch": 7.91,
87
- "eval_accuracy": 0.8266666666666667,
88
- "eval_loss": 0.6503960490226746,
89
- "eval_runtime": 4.6022,
90
- "eval_samples_per_second": 16.296,
91
- "eval_steps_per_second": 0.652,
92
  "step": 40
93
  },
94
  {
95
  "epoch": 8.91,
96
- "eval_accuracy": 0.8666666666666667,
97
- "eval_loss": 0.5242553949356079,
98
- "eval_runtime": 4.4829,
99
- "eval_samples_per_second": 16.73,
100
- "eval_steps_per_second": 0.669,
101
  "step": 45
102
  },
103
  {
104
  "epoch": 9.91,
105
- "eval_accuracy": 0.88,
106
- "eval_loss": 0.4281647205352783,
107
- "eval_runtime": 4.4238,
108
- "eval_samples_per_second": 16.954,
109
- "eval_steps_per_second": 0.678,
110
  "step": 50
111
  },
112
  {
113
  "epoch": 10.91,
114
- "eval_accuracy": 0.9066666666666666,
115
- "eval_loss": 0.3949722349643707,
116
- "eval_runtime": 4.5638,
117
- "eval_samples_per_second": 16.434,
118
- "eval_steps_per_second": 0.657,
119
  "step": 55
120
  },
121
  {
122
  "epoch": 11.91,
123
- "learning_rate": 4.4444444444444447e-05,
124
- "loss": 0.7315,
125
  "step": 60
126
  },
127
  {
128
  "epoch": 11.91,
129
- "eval_accuracy": 0.8933333333333333,
130
- "eval_loss": 0.361709862947464,
131
- "eval_runtime": 4.5199,
132
- "eval_samples_per_second": 16.593,
133
- "eval_steps_per_second": 0.664,
134
  "step": 60
135
  },
136
  {
137
  "epoch": 12.91,
138
- "eval_accuracy": 0.9066666666666666,
139
- "eval_loss": 0.3166624903678894,
140
- "eval_runtime": 4.4623,
141
- "eval_samples_per_second": 16.807,
142
- "eval_steps_per_second": 0.672,
143
  "step": 65
144
  },
145
  {
146
  "epoch": 13.91,
147
- "eval_accuracy": 0.9066666666666666,
148
- "eval_loss": 0.3022773861885071,
149
- "eval_runtime": 4.4075,
150
- "eval_samples_per_second": 17.016,
151
- "eval_steps_per_second": 0.681,
152
  "step": 70
153
  },
154
  {
155
  "epoch": 14.91,
156
- "eval_accuracy": 0.9333333333333333,
157
- "eval_loss": 0.24396675825119019,
158
- "eval_runtime": 4.4157,
159
- "eval_samples_per_second": 16.985,
160
- "eval_steps_per_second": 0.679,
161
  "step": 75
162
  },
163
  {
164
  "epoch": 15.91,
165
- "learning_rate": 4.074074074074074e-05,
166
- "loss": 0.5713,
167
  "step": 80
168
  },
169
  {
170
  "epoch": 15.91,
171
- "eval_accuracy": 0.9333333333333333,
172
- "eval_loss": 0.24749578535556793,
173
- "eval_runtime": 4.3849,
174
- "eval_samples_per_second": 17.104,
175
- "eval_steps_per_second": 0.684,
176
  "step": 80
177
  },
178
  {
179
  "epoch": 16.91,
180
- "eval_accuracy": 0.92,
181
- "eval_loss": 0.2443261742591858,
182
- "eval_runtime": 4.5173,
183
- "eval_samples_per_second": 16.603,
184
- "eval_steps_per_second": 0.664,
185
  "step": 85
186
  },
187
  {
188
  "epoch": 17.91,
189
- "eval_accuracy": 0.96,
190
- "eval_loss": 0.20929811894893646,
191
- "eval_runtime": 4.4498,
192
- "eval_samples_per_second": 16.855,
193
- "eval_steps_per_second": 0.674,
194
  "step": 90
195
  },
196
  {
197
  "epoch": 18.91,
198
- "eval_accuracy": 0.9466666666666667,
199
- "eval_loss": 0.20770420134067535,
200
- "eval_runtime": 4.481,
201
- "eval_samples_per_second": 16.737,
202
- "eval_steps_per_second": 0.669,
203
  "step": 95
204
  },
205
  {
206
  "epoch": 19.91,
207
- "learning_rate": 3.7037037037037037e-05,
208
- "loss": 0.515,
209
  "step": 100
210
  },
211
  {
212
  "epoch": 19.91,
213
- "eval_accuracy": 0.9333333333333333,
214
- "eval_loss": 0.2124166041612625,
215
- "eval_runtime": 4.6887,
216
- "eval_samples_per_second": 15.996,
217
- "eval_steps_per_second": 0.64,
218
  "step": 100
219
  },
220
  {
221
  "epoch": 20.91,
222
- "eval_accuracy": 0.96,
223
- "eval_loss": 0.21663539111614227,
224
- "eval_runtime": 4.4061,
225
- "eval_samples_per_second": 17.022,
226
- "eval_steps_per_second": 0.681,
227
  "step": 105
228
  },
229
  {
230
  "epoch": 21.91,
231
- "eval_accuracy": 0.9333333333333333,
232
- "eval_loss": 0.1939961463212967,
233
- "eval_runtime": 4.4646,
234
- "eval_samples_per_second": 16.799,
235
- "eval_steps_per_second": 0.672,
236
  "step": 110
237
  },
238
  {
239
  "epoch": 22.91,
240
- "eval_accuracy": 0.9333333333333333,
241
- "eval_loss": 0.19843259453773499,
242
- "eval_runtime": 4.5883,
243
- "eval_samples_per_second": 16.346,
244
- "eval_steps_per_second": 0.654,
245
  "step": 115
246
  },
247
  {
248
  "epoch": 23.91,
249
- "learning_rate": 3.3333333333333335e-05,
250
- "loss": 0.4582,
251
  "step": 120
252
  },
253
  {
254
  "epoch": 23.91,
255
- "eval_accuracy": 0.9333333333333333,
256
- "eval_loss": 0.23953679203987122,
257
- "eval_runtime": 4.5302,
258
- "eval_samples_per_second": 16.556,
259
- "eval_steps_per_second": 0.662,
260
  "step": 120
261
  },
262
  {
263
  "epoch": 24.91,
264
- "eval_accuracy": 0.92,
265
- "eval_loss": 0.24795593321323395,
266
- "eval_runtime": 4.4621,
267
- "eval_samples_per_second": 16.808,
268
- "eval_steps_per_second": 0.672,
269
  "step": 125
270
  },
271
  {
272
  "epoch": 25.91,
273
- "eval_accuracy": 0.92,
274
- "eval_loss": 0.2179584801197052,
275
- "eval_runtime": 4.4204,
276
- "eval_samples_per_second": 16.967,
277
- "eval_steps_per_second": 0.679,
278
  "step": 130
279
  },
280
  {
281
  "epoch": 26.91,
282
- "eval_accuracy": 0.9333333333333333,
283
- "eval_loss": 0.2231944501399994,
284
- "eval_runtime": 4.4482,
285
- "eval_samples_per_second": 16.861,
286
- "eval_steps_per_second": 0.674,
287
  "step": 135
288
  },
289
  {
290
  "epoch": 27.91,
291
- "learning_rate": 2.962962962962963e-05,
292
- "loss": 0.4279,
293
  "step": 140
294
  },
295
  {
296
  "epoch": 27.91,
297
- "eval_accuracy": 0.9333333333333333,
298
- "eval_loss": 0.1976775974035263,
299
- "eval_runtime": 4.4409,
300
- "eval_samples_per_second": 16.888,
301
- "eval_steps_per_second": 0.676,
302
  "step": 140
303
  },
304
  {
305
  "epoch": 28.91,
306
- "eval_accuracy": 0.9466666666666667,
307
- "eval_loss": 0.18473981320858002,
308
- "eval_runtime": 4.4471,
309
- "eval_samples_per_second": 16.865,
310
- "eval_steps_per_second": 0.675,
311
  "step": 145
312
  },
313
  {
314
  "epoch": 29.91,
315
- "eval_accuracy": 0.9466666666666667,
316
- "eval_loss": 0.19218212366104126,
317
- "eval_runtime": 4.4988,
318
- "eval_samples_per_second": 16.671,
319
- "eval_steps_per_second": 0.667,
320
  "step": 150
321
  },
322
  {
323
  "epoch": 30.91,
324
  "eval_accuracy": 0.9733333333333334,
325
  "eval_loss": 0.1787085384130478,
326
- "eval_runtime": 4.4136,
327
- "eval_samples_per_second": 16.993,
328
- "eval_steps_per_second": 0.68,
329
  "step": 155
330
  },
331
  {
332
  "epoch": 31.91,
333
- "learning_rate": 2.5925925925925925e-05,
334
- "loss": 0.4031,
335
  "step": 160
336
  },
337
  {
338
  "epoch": 31.91,
339
  "eval_accuracy": 0.9733333333333334,
340
- "eval_loss": 0.16259188950061798,
341
- "eval_runtime": 4.4524,
342
- "eval_samples_per_second": 16.845,
343
- "eval_steps_per_second": 0.674,
344
  "step": 160
345
  },
346
  {
347
  "epoch": 32.91,
348
  "eval_accuracy": 0.9733333333333334,
349
- "eval_loss": 0.16668973863124847,
350
- "eval_runtime": 4.4694,
351
- "eval_samples_per_second": 16.781,
352
- "eval_steps_per_second": 0.671,
353
  "step": 165
354
  },
355
  {
356
  "epoch": 33.91,
357
  "eval_accuracy": 0.9733333333333334,
358
- "eval_loss": 0.1871425062417984,
359
- "eval_runtime": 4.4399,
360
- "eval_samples_per_second": 16.892,
361
- "eval_steps_per_second": 0.676,
362
  "step": 170
363
  },
364
  {
365
  "epoch": 34.91,
366
  "eval_accuracy": 0.9733333333333334,
367
- "eval_loss": 0.20150674879550934,
368
- "eval_runtime": 4.4431,
369
- "eval_samples_per_second": 16.88,
370
- "eval_steps_per_second": 0.675,
371
  "step": 175
372
  },
373
  {
374
  "epoch": 35.91,
375
- "learning_rate": 2.2222222222222223e-05,
376
- "loss": 0.3952,
377
  "step": 180
378
  },
379
  {
380
  "epoch": 35.91,
381
  "eval_accuracy": 0.9733333333333334,
382
- "eval_loss": 0.18359220027923584,
383
- "eval_runtime": 4.5102,
384
- "eval_samples_per_second": 16.629,
385
- "eval_steps_per_second": 0.665,
386
  "step": 180
387
  },
388
  {
389
  "epoch": 36.91,
390
- "eval_accuracy": 0.96,
391
- "eval_loss": 0.18555229902267456,
392
- "eval_runtime": 4.5169,
393
- "eval_samples_per_second": 16.604,
394
- "eval_steps_per_second": 0.664,
395
  "step": 185
396
  },
397
  {
398
  "epoch": 37.91,
399
- "eval_accuracy": 0.9333333333333333,
400
- "eval_loss": 0.1952236294746399,
401
- "eval_runtime": 4.5438,
402
- "eval_samples_per_second": 16.506,
403
- "eval_steps_per_second": 0.66,
404
  "step": 190
405
  },
406
  {
407
  "epoch": 38.91,
408
- "eval_accuracy": 0.96,
409
- "eval_loss": 0.1720731258392334,
410
- "eval_runtime": 4.4501,
411
- "eval_samples_per_second": 16.854,
412
  "eval_steps_per_second": 0.674,
413
  "step": 195
414
  },
415
  {
416
  "epoch": 39.91,
417
- "learning_rate": 1.8518518518518518e-05,
418
- "loss": 0.369,
419
  "step": 200
420
  },
421
  {
422
  "epoch": 39.91,
423
- "eval_accuracy": 0.9466666666666667,
424
- "eval_loss": 0.1618812382221222,
425
- "eval_runtime": 4.4486,
426
- "eval_samples_per_second": 16.859,
427
  "eval_steps_per_second": 0.674,
428
  "step": 200
429
  },
430
  {
431
  "epoch": 40.91,
432
- "eval_accuracy": 0.96,
433
- "eval_loss": 0.16587452590465546,
434
- "eval_runtime": 4.385,
435
- "eval_samples_per_second": 17.104,
436
- "eval_steps_per_second": 0.684,
437
  "step": 205
438
  },
439
  {
440
  "epoch": 41.91,
441
- "eval_accuracy": 0.96,
442
- "eval_loss": 0.1568831503391266,
443
- "eval_runtime": 4.5404,
444
- "eval_samples_per_second": 16.518,
445
- "eval_steps_per_second": 0.661,
446
  "step": 210
447
  },
448
  {
449
  "epoch": 42.91,
450
- "eval_accuracy": 0.96,
451
- "eval_loss": 0.1357746571302414,
452
- "eval_runtime": 4.4209,
453
- "eval_samples_per_second": 16.965,
454
- "eval_steps_per_second": 0.679,
455
  "step": 215
456
  },
457
  {
458
  "epoch": 43.91,
459
- "learning_rate": 1.4814814814814815e-05,
460
- "loss": 0.3262,
461
  "step": 220
462
  },
463
  {
464
  "epoch": 43.91,
465
- "eval_accuracy": 0.96,
466
- "eval_loss": 0.13711059093475342,
467
- "eval_runtime": 4.5003,
468
- "eval_samples_per_second": 16.665,
469
- "eval_steps_per_second": 0.667,
470
  "step": 220
471
  },
472
  {
473
  "epoch": 44.91,
474
- "eval_accuracy": 0.9466666666666667,
475
- "eval_loss": 0.1336827427148819,
476
- "eval_runtime": 4.47,
477
- "eval_samples_per_second": 16.779,
478
- "eval_steps_per_second": 0.671,
479
  "step": 225
480
  },
481
  {
482
  "epoch": 45.91,
483
- "eval_accuracy": 0.9466666666666667,
484
- "eval_loss": 0.13736897706985474,
485
- "eval_runtime": 4.5693,
486
- "eval_samples_per_second": 16.414,
487
- "eval_steps_per_second": 0.657,
488
  "step": 230
489
  },
490
  {
491
  "epoch": 46.91,
492
- "eval_accuracy": 0.96,
493
- "eval_loss": 0.17894567549228668,
494
- "eval_runtime": 4.3355,
495
- "eval_samples_per_second": 17.299,
496
- "eval_steps_per_second": 0.692,
497
  "step": 235
498
  },
499
  {
500
  "epoch": 47.91,
501
- "learning_rate": 1.1111111111111112e-05,
502
- "loss": 0.3616,
503
  "step": 240
504
  },
505
  {
506
  "epoch": 47.91,
507
- "eval_accuracy": 0.9466666666666667,
508
- "eval_loss": 0.21668750047683716,
509
- "eval_runtime": 4.4669,
510
- "eval_samples_per_second": 16.79,
511
- "eval_steps_per_second": 0.672,
512
  "step": 240
513
  },
514
  {
515
  "epoch": 48.91,
516
- "eval_accuracy": 0.96,
517
- "eval_loss": 0.17571820318698883,
518
- "eval_runtime": 4.4771,
519
- "eval_samples_per_second": 16.752,
520
- "eval_steps_per_second": 0.67,
521
  "step": 245
522
  },
523
  {
524
  "epoch": 49.91,
525
  "eval_accuracy": 0.9733333333333334,
526
- "eval_loss": 0.17293348908424377,
527
- "eval_runtime": 4.4293,
528
- "eval_samples_per_second": 16.933,
529
- "eval_steps_per_second": 0.677,
530
  "step": 250
531
  },
532
  {
533
  "epoch": 50.91,
534
  "eval_accuracy": 0.9733333333333334,
535
- "eval_loss": 0.17224831879138947,
536
- "eval_runtime": 4.4183,
537
- "eval_samples_per_second": 16.975,
538
- "eval_steps_per_second": 0.679,
539
  "step": 255
540
  },
541
  {
542
  "epoch": 51.91,
543
- "learning_rate": 7.4074074074074075e-06,
544
- "loss": 0.303,
545
  "step": 260
546
  },
547
  {
548
  "epoch": 51.91,
549
  "eval_accuracy": 0.9733333333333334,
550
- "eval_loss": 0.16005316376686096,
551
- "eval_runtime": 4.4073,
552
- "eval_samples_per_second": 17.017,
553
- "eval_steps_per_second": 0.681,
554
  "step": 260
555
  },
556
  {
557
  "epoch": 52.91,
558
  "eval_accuracy": 0.9733333333333334,
559
- "eval_loss": 0.15919166803359985,
560
- "eval_runtime": 4.4398,
561
- "eval_samples_per_second": 16.893,
562
- "eval_steps_per_second": 0.676,
563
  "step": 265
564
  },
565
  {
566
  "epoch": 53.91,
567
  "eval_accuracy": 0.9733333333333334,
568
- "eval_loss": 0.16125422716140747,
569
- "eval_runtime": 4.3899,
570
- "eval_samples_per_second": 17.085,
571
- "eval_steps_per_second": 0.683,
572
  "step": 270
573
  },
574
  {
575
  "epoch": 54.91,
576
  "eval_accuracy": 0.9733333333333334,
577
- "eval_loss": 0.15753033757209778,
578
- "eval_runtime": 4.4684,
579
- "eval_samples_per_second": 16.785,
580
- "eval_steps_per_second": 0.671,
581
  "step": 275
582
  },
583
  {
584
  "epoch": 55.91,
585
- "learning_rate": 3.7037037037037037e-06,
586
- "loss": 0.305,
587
  "step": 280
588
  },
589
  {
590
  "epoch": 55.91,
591
  "eval_accuracy": 0.9733333333333334,
592
- "eval_loss": 0.15587559342384338,
593
- "eval_runtime": 4.3795,
594
- "eval_samples_per_second": 17.125,
595
- "eval_steps_per_second": 0.685,
596
  "step": 280
597
  },
598
  {
599
  "epoch": 56.91,
600
  "eval_accuracy": 0.9733333333333334,
601
- "eval_loss": 0.14887748658657074,
602
- "eval_runtime": 4.4449,
603
- "eval_samples_per_second": 16.873,
604
- "eval_steps_per_second": 0.675,
605
  "step": 285
606
  },
607
  {
608
  "epoch": 57.91,
609
- "eval_accuracy": 0.96,
610
- "eval_loss": 0.14639350771903992,
611
- "eval_runtime": 4.4527,
612
- "eval_samples_per_second": 16.844,
613
  "eval_steps_per_second": 0.674,
614
  "step": 290
615
  },
616
  {
617
  "epoch": 58.91,
618
- "eval_accuracy": 0.9466666666666667,
619
- "eval_loss": 0.14625021815299988,
620
- "eval_runtime": 4.4199,
621
- "eval_samples_per_second": 16.969,
622
- "eval_steps_per_second": 0.679,
623
  "step": 295
624
  },
625
  {
626
  "epoch": 59.91,
627
  "learning_rate": 0.0,
628
- "loss": 0.3328,
629
  "step": 300
630
  },
631
  {
632
  "epoch": 59.91,
633
- "eval_accuracy": 0.9466666666666667,
634
- "eval_loss": 0.14626549184322357,
635
- "eval_runtime": 4.4407,
636
- "eval_samples_per_second": 16.889,
637
- "eval_steps_per_second": 0.676,
638
  "step": 300
639
  },
640
  {
641
  "epoch": 59.91,
642
  "step": 300,
643
  "total_flos": 1.0044714081093673e+18,
644
- "train_loss": 0.5910613632202149,
645
- "train_runtime": 5579.9163,
646
- "train_samples_per_second": 7.247,
647
- "train_steps_per_second": 0.054
648
  }
649
  ],
650
  "max_steps": 300,
 
1
  {
2
  "best_metric": 0.9733333333333334,
3
+ "best_model_checkpoint": "delivery_truck_classification/checkpoint-5",
4
  "epoch": 59.90909090909091,
5
  "global_step": 300,
6
  "is_hyper_param_search": false,
 
9
  "log_history": [
10
  {
11
  "epoch": 0.91,
12
+ "eval_accuracy": 0.9733333333333334,
13
+ "eval_loss": 0.1787085384130478,
14
+ "eval_runtime": 4.605,
15
+ "eval_samples_per_second": 16.287,
16
+ "eval_steps_per_second": 0.651,
17
  "step": 5
18
  },
19
  {
20
  "epoch": 1.91,
21
+ "eval_accuracy": 0.9733333333333334,
22
+ "eval_loss": 0.1787085384130478,
23
+ "eval_runtime": 4.6573,
24
+ "eval_samples_per_second": 16.104,
25
+ "eval_steps_per_second": 0.644,
26
  "step": 10
27
  },
28
  {
29
  "epoch": 2.91,
30
+ "eval_accuracy": 0.9733333333333334,
31
+ "eval_loss": 0.1787085384130478,
32
+ "eval_runtime": 4.5342,
33
+ "eval_samples_per_second": 16.541,
34
+ "eval_steps_per_second": 0.662,
35
  "step": 15
36
  },
37
  {
38
  "epoch": 3.91,
39
+ "learning_rate": 0.0,
40
+ "loss": 0.3799,
41
  "step": 20
42
  },
43
  {
44
  "epoch": 3.91,
45
+ "eval_accuracy": 0.9733333333333334,
46
+ "eval_loss": 0.1787085384130478,
47
+ "eval_runtime": 4.5035,
48
+ "eval_samples_per_second": 16.654,
49
+ "eval_steps_per_second": 0.666,
50
  "step": 20
51
  },
52
  {
53
  "epoch": 4.91,
54
+ "eval_accuracy": 0.9733333333333334,
55
+ "eval_loss": 0.1787085384130478,
56
+ "eval_runtime": 4.5133,
57
+ "eval_samples_per_second": 16.617,
58
+ "eval_steps_per_second": 0.665,
59
  "step": 25
60
  },
61
  {
62
  "epoch": 5.91,
63
+ "eval_accuracy": 0.9733333333333334,
64
+ "eval_loss": 0.1787085384130478,
65
+ "eval_runtime": 4.4565,
66
+ "eval_samples_per_second": 16.829,
67
+ "eval_steps_per_second": 0.673,
68
  "step": 30
69
  },
70
  {
71
  "epoch": 6.91,
72
+ "eval_accuracy": 0.9733333333333334,
73
+ "eval_loss": 0.1787085384130478,
74
+ "eval_runtime": 4.3979,
75
+ "eval_samples_per_second": 17.053,
76
+ "eval_steps_per_second": 0.682,
77
  "step": 35
78
  },
79
  {
80
  "epoch": 7.91,
81
+ "learning_rate": 0.0,
82
+ "loss": 0.3648,
83
  "step": 40
84
  },
85
  {
86
  "epoch": 7.91,
87
+ "eval_accuracy": 0.9733333333333334,
88
+ "eval_loss": 0.1787085384130478,
89
+ "eval_runtime": 4.428,
90
+ "eval_samples_per_second": 16.938,
91
+ "eval_steps_per_second": 0.678,
92
  "step": 40
93
  },
94
  {
95
  "epoch": 8.91,
96
+ "eval_accuracy": 0.9733333333333334,
97
+ "eval_loss": 0.1787085384130478,
98
+ "eval_runtime": 4.4244,
99
+ "eval_samples_per_second": 16.952,
100
+ "eval_steps_per_second": 0.678,
101
  "step": 45
102
  },
103
  {
104
  "epoch": 9.91,
105
+ "eval_accuracy": 0.9733333333333334,
106
+ "eval_loss": 0.1787085384130478,
107
+ "eval_runtime": 4.421,
108
+ "eval_samples_per_second": 16.965,
109
+ "eval_steps_per_second": 0.679,
110
  "step": 50
111
  },
112
  {
113
  "epoch": 10.91,
114
+ "eval_accuracy": 0.9733333333333334,
115
+ "eval_loss": 0.1787085384130478,
116
+ "eval_runtime": 4.3973,
117
+ "eval_samples_per_second": 17.056,
118
+ "eval_steps_per_second": 0.682,
119
  "step": 55
120
  },
121
  {
122
  "epoch": 11.91,
123
+ "learning_rate": 0.0,
124
+ "loss": 0.3954,
125
  "step": 60
126
  },
127
  {
128
  "epoch": 11.91,
129
+ "eval_accuracy": 0.9733333333333334,
130
+ "eval_loss": 0.1787085384130478,
131
+ "eval_runtime": 4.547,
132
+ "eval_samples_per_second": 16.494,
133
+ "eval_steps_per_second": 0.66,
134
  "step": 60
135
  },
136
  {
137
  "epoch": 12.91,
138
+ "eval_accuracy": 0.9733333333333334,
139
+ "eval_loss": 0.1787085384130478,
140
+ "eval_runtime": 4.4763,
141
+ "eval_samples_per_second": 16.755,
142
+ "eval_steps_per_second": 0.67,
143
  "step": 65
144
  },
145
  {
146
  "epoch": 13.91,
147
+ "eval_accuracy": 0.9733333333333334,
148
+ "eval_loss": 0.1787085384130478,
149
+ "eval_runtime": 4.5403,
150
+ "eval_samples_per_second": 16.519,
151
+ "eval_steps_per_second": 0.661,
152
  "step": 70
153
  },
154
  {
155
  "epoch": 14.91,
156
+ "eval_accuracy": 0.9733333333333334,
157
+ "eval_loss": 0.1787085384130478,
158
+ "eval_runtime": 4.4851,
159
+ "eval_samples_per_second": 16.722,
160
+ "eval_steps_per_second": 0.669,
161
  "step": 75
162
  },
163
  {
164
  "epoch": 15.91,
165
+ "learning_rate": 0.0,
166
+ "loss": 0.3926,
167
  "step": 80
168
  },
169
  {
170
  "epoch": 15.91,
171
+ "eval_accuracy": 0.9733333333333334,
172
+ "eval_loss": 0.1787085384130478,
173
+ "eval_runtime": 4.5007,
174
+ "eval_samples_per_second": 16.664,
175
+ "eval_steps_per_second": 0.667,
176
  "step": 80
177
  },
178
  {
179
  "epoch": 16.91,
180
+ "eval_accuracy": 0.9733333333333334,
181
+ "eval_loss": 0.1787085384130478,
182
+ "eval_runtime": 4.4425,
183
+ "eval_samples_per_second": 16.882,
184
+ "eval_steps_per_second": 0.675,
185
  "step": 85
186
  },
187
  {
188
  "epoch": 17.91,
189
+ "eval_accuracy": 0.9733333333333334,
190
+ "eval_loss": 0.1787085384130478,
191
+ "eval_runtime": 4.4458,
192
+ "eval_samples_per_second": 16.87,
193
+ "eval_steps_per_second": 0.675,
194
  "step": 90
195
  },
196
  {
197
  "epoch": 18.91,
198
+ "eval_accuracy": 0.9733333333333334,
199
+ "eval_loss": 0.1787085384130478,
200
+ "eval_runtime": 4.4283,
201
+ "eval_samples_per_second": 16.936,
202
+ "eval_steps_per_second": 0.677,
203
  "step": 95
204
  },
205
  {
206
  "epoch": 19.91,
207
+ "learning_rate": 0.0,
208
+ "loss": 0.3801,
209
  "step": 100
210
  },
211
  {
212
  "epoch": 19.91,
213
+ "eval_accuracy": 0.9733333333333334,
214
+ "eval_loss": 0.1787085384130478,
215
+ "eval_runtime": 4.4286,
216
+ "eval_samples_per_second": 16.935,
217
+ "eval_steps_per_second": 0.677,
218
  "step": 100
219
  },
220
  {
221
  "epoch": 20.91,
222
+ "eval_accuracy": 0.9733333333333334,
223
+ "eval_loss": 0.1787085384130478,
224
+ "eval_runtime": 4.4358,
225
+ "eval_samples_per_second": 16.908,
226
+ "eval_steps_per_second": 0.676,
227
  "step": 105
228
  },
229
  {
230
  "epoch": 21.91,
231
+ "eval_accuracy": 0.9733333333333334,
232
+ "eval_loss": 0.1787085384130478,
233
+ "eval_runtime": 4.5245,
234
+ "eval_samples_per_second": 16.576,
235
+ "eval_steps_per_second": 0.663,
236
  "step": 110
237
  },
238
  {
239
  "epoch": 22.91,
240
+ "eval_accuracy": 0.9733333333333334,
241
+ "eval_loss": 0.1787085384130478,
242
+ "eval_runtime": 4.4683,
243
+ "eval_samples_per_second": 16.785,
244
+ "eval_steps_per_second": 0.671,
245
  "step": 115
246
  },
247
  {
248
  "epoch": 23.91,
249
+ "learning_rate": 0.0,
250
+ "loss": 0.3815,
251
  "step": 120
252
  },
253
  {
254
  "epoch": 23.91,
255
+ "eval_accuracy": 0.9733333333333334,
256
+ "eval_loss": 0.1787085384130478,
257
+ "eval_runtime": 4.5135,
258
+ "eval_samples_per_second": 16.617,
259
+ "eval_steps_per_second": 0.665,
260
  "step": 120
261
  },
262
  {
263
  "epoch": 24.91,
264
+ "eval_accuracy": 0.9733333333333334,
265
+ "eval_loss": 0.1787085384130478,
266
+ "eval_runtime": 4.4723,
267
+ "eval_samples_per_second": 16.77,
268
+ "eval_steps_per_second": 0.671,
269
  "step": 125
270
  },
271
  {
272
  "epoch": 25.91,
273
+ "eval_accuracy": 0.9733333333333334,
274
+ "eval_loss": 0.1787085384130478,
275
+ "eval_runtime": 4.4414,
276
+ "eval_samples_per_second": 16.886,
277
+ "eval_steps_per_second": 0.675,
278
  "step": 130
279
  },
280
  {
281
  "epoch": 26.91,
282
+ "eval_accuracy": 0.9733333333333334,
283
+ "eval_loss": 0.1787085384130478,
284
+ "eval_runtime": 4.4643,
285
+ "eval_samples_per_second": 16.8,
286
+ "eval_steps_per_second": 0.672,
287
  "step": 135
288
  },
289
  {
290
  "epoch": 27.91,
291
+ "learning_rate": 0.0,
292
+ "loss": 0.3955,
293
  "step": 140
294
  },
295
  {
296
  "epoch": 27.91,
297
+ "eval_accuracy": 0.9733333333333334,
298
+ "eval_loss": 0.1787085384130478,
299
+ "eval_runtime": 4.5098,
300
+ "eval_samples_per_second": 16.63,
301
+ "eval_steps_per_second": 0.665,
302
  "step": 140
303
  },
304
  {
305
  "epoch": 28.91,
306
+ "eval_accuracy": 0.9733333333333334,
307
+ "eval_loss": 0.1787085384130478,
308
+ "eval_runtime": 4.4329,
309
+ "eval_samples_per_second": 16.919,
310
+ "eval_steps_per_second": 0.677,
311
  "step": 145
312
  },
313
  {
314
  "epoch": 29.91,
315
+ "eval_accuracy": 0.9733333333333334,
316
+ "eval_loss": 0.1787085384130478,
317
+ "eval_runtime": 4.4818,
318
+ "eval_samples_per_second": 16.734,
319
+ "eval_steps_per_second": 0.669,
320
  "step": 150
321
  },
322
  {
323
  "epoch": 30.91,
324
  "eval_accuracy": 0.9733333333333334,
325
  "eval_loss": 0.1787085384130478,
326
+ "eval_runtime": 4.4724,
327
+ "eval_samples_per_second": 16.77,
328
+ "eval_steps_per_second": 0.671,
329
  "step": 155
330
  },
331
  {
332
  "epoch": 31.91,
333
+ "learning_rate": 0.0,
334
+ "loss": 0.3854,
335
  "step": 160
336
  },
337
  {
338
  "epoch": 31.91,
339
  "eval_accuracy": 0.9733333333333334,
340
+ "eval_loss": 0.1787085384130478,
341
+ "eval_runtime": 4.5105,
342
+ "eval_samples_per_second": 16.628,
343
+ "eval_steps_per_second": 0.665,
344
  "step": 160
345
  },
346
  {
347
  "epoch": 32.91,
348
  "eval_accuracy": 0.9733333333333334,
349
+ "eval_loss": 0.1787085384130478,
350
+ "eval_runtime": 4.4347,
351
+ "eval_samples_per_second": 16.912,
352
+ "eval_steps_per_second": 0.676,
353
  "step": 165
354
  },
355
  {
356
  "epoch": 33.91,
357
  "eval_accuracy": 0.9733333333333334,
358
+ "eval_loss": 0.1787085384130478,
359
+ "eval_runtime": 4.4592,
360
+ "eval_samples_per_second": 16.819,
361
+ "eval_steps_per_second": 0.673,
362
  "step": 170
363
  },
364
  {
365
  "epoch": 34.91,
366
  "eval_accuracy": 0.9733333333333334,
367
+ "eval_loss": 0.1787085384130478,
368
+ "eval_runtime": 4.5776,
369
+ "eval_samples_per_second": 16.384,
370
+ "eval_steps_per_second": 0.655,
371
  "step": 175
372
  },
373
  {
374
  "epoch": 35.91,
375
+ "learning_rate": 0.0,
376
+ "loss": 0.3949,
377
  "step": 180
378
  },
379
  {
380
  "epoch": 35.91,
381
  "eval_accuracy": 0.9733333333333334,
382
+ "eval_loss": 0.1787085384130478,
383
+ "eval_runtime": 4.3721,
384
+ "eval_samples_per_second": 17.154,
385
+ "eval_steps_per_second": 0.686,
386
  "step": 180
387
  },
388
  {
389
  "epoch": 36.91,
390
+ "eval_accuracy": 0.9733333333333334,
391
+ "eval_loss": 0.1787085384130478,
392
+ "eval_runtime": 4.5128,
393
+ "eval_samples_per_second": 16.62,
394
+ "eval_steps_per_second": 0.665,
395
  "step": 185
396
  },
397
  {
398
  "epoch": 37.91,
399
+ "eval_accuracy": 0.9733333333333334,
400
+ "eval_loss": 0.1787085384130478,
401
+ "eval_runtime": 4.4796,
402
+ "eval_samples_per_second": 16.743,
403
+ "eval_steps_per_second": 0.67,
404
  "step": 190
405
  },
406
  {
407
  "epoch": 38.91,
408
+ "eval_accuracy": 0.9733333333333334,
409
+ "eval_loss": 0.1787085384130478,
410
+ "eval_runtime": 4.4495,
411
+ "eval_samples_per_second": 16.856,
412
  "eval_steps_per_second": 0.674,
413
  "step": 195
414
  },
415
  {
416
  "epoch": 39.91,
417
+ "learning_rate": 0.0,
418
+ "loss": 0.423,
419
  "step": 200
420
  },
421
  {
422
  "epoch": 39.91,
423
+ "eval_accuracy": 0.9733333333333334,
424
+ "eval_loss": 0.1787085384130478,
425
+ "eval_runtime": 4.4509,
426
+ "eval_samples_per_second": 16.851,
427
  "eval_steps_per_second": 0.674,
428
  "step": 200
429
  },
430
  {
431
  "epoch": 40.91,
432
+ "eval_accuracy": 0.9733333333333334,
433
+ "eval_loss": 0.1787085384130478,
434
+ "eval_runtime": 4.4302,
435
+ "eval_samples_per_second": 16.929,
436
+ "eval_steps_per_second": 0.677,
437
  "step": 205
438
  },
439
  {
440
  "epoch": 41.91,
441
+ "eval_accuracy": 0.9733333333333334,
442
+ "eval_loss": 0.1787085384130478,
443
+ "eval_runtime": 4.4295,
444
+ "eval_samples_per_second": 16.932,
445
+ "eval_steps_per_second": 0.677,
446
  "step": 210
447
  },
448
  {
449
  "epoch": 42.91,
450
+ "eval_accuracy": 0.9733333333333334,
451
+ "eval_loss": 0.1787085384130478,
452
+ "eval_runtime": 4.492,
453
+ "eval_samples_per_second": 16.696,
454
+ "eval_steps_per_second": 0.668,
455
  "step": 215
456
  },
457
  {
458
  "epoch": 43.91,
459
+ "learning_rate": 0.0,
460
+ "loss": 0.3761,
461
  "step": 220
462
  },
463
  {
464
  "epoch": 43.91,
465
+ "eval_accuracy": 0.9733333333333334,
466
+ "eval_loss": 0.1787085384130478,
467
+ "eval_runtime": 4.3593,
468
+ "eval_samples_per_second": 17.205,
469
+ "eval_steps_per_second": 0.688,
470
  "step": 220
471
  },
472
  {
473
  "epoch": 44.91,
474
+ "eval_accuracy": 0.9733333333333334,
475
+ "eval_loss": 0.1787085384130478,
476
+ "eval_runtime": 4.3857,
477
+ "eval_samples_per_second": 17.101,
478
+ "eval_steps_per_second": 0.684,
479
  "step": 225
480
  },
481
  {
482
  "epoch": 45.91,
483
+ "eval_accuracy": 0.9733333333333334,
484
+ "eval_loss": 0.1787085384130478,
485
+ "eval_runtime": 4.4094,
486
+ "eval_samples_per_second": 17.009,
487
+ "eval_steps_per_second": 0.68,
488
  "step": 230
489
  },
490
  {
491
  "epoch": 46.91,
492
+ "eval_accuracy": 0.9733333333333334,
493
+ "eval_loss": 0.1787085384130478,
494
+ "eval_runtime": 4.5267,
495
+ "eval_samples_per_second": 16.568,
496
+ "eval_steps_per_second": 0.663,
497
  "step": 235
498
  },
499
  {
500
  "epoch": 47.91,
501
+ "learning_rate": 0.0,
502
+ "loss": 0.3673,
503
  "step": 240
504
  },
505
  {
506
  "epoch": 47.91,
507
+ "eval_accuracy": 0.9733333333333334,
508
+ "eval_loss": 0.1787085384130478,
509
+ "eval_runtime": 4.4408,
510
+ "eval_samples_per_second": 16.889,
511
+ "eval_steps_per_second": 0.676,
512
  "step": 240
513
  },
514
  {
515
  "epoch": 48.91,
516
+ "eval_accuracy": 0.9733333333333334,
517
+ "eval_loss": 0.1787085384130478,
518
+ "eval_runtime": 4.4085,
519
+ "eval_samples_per_second": 17.012,
520
+ "eval_steps_per_second": 0.68,
521
  "step": 245
522
  },
523
  {
524
  "epoch": 49.91,
525
  "eval_accuracy": 0.9733333333333334,
526
+ "eval_loss": 0.1787085384130478,
527
+ "eval_runtime": 4.4363,
528
+ "eval_samples_per_second": 16.906,
529
+ "eval_steps_per_second": 0.676,
530
  "step": 250
531
  },
532
  {
533
  "epoch": 50.91,
534
  "eval_accuracy": 0.9733333333333334,
535
+ "eval_loss": 0.1787085384130478,
536
+ "eval_runtime": 4.5308,
537
+ "eval_samples_per_second": 16.553,
538
+ "eval_steps_per_second": 0.662,
539
  "step": 255
540
  },
541
  {
542
  "epoch": 51.91,
543
+ "learning_rate": 0.0,
544
+ "loss": 0.3639,
545
  "step": 260
546
  },
547
  {
548
  "epoch": 51.91,
549
  "eval_accuracy": 0.9733333333333334,
550
+ "eval_loss": 0.1787085384130478,
551
+ "eval_runtime": 4.4837,
552
+ "eval_samples_per_second": 16.727,
553
+ "eval_steps_per_second": 0.669,
554
  "step": 260
555
  },
556
  {
557
  "epoch": 52.91,
558
  "eval_accuracy": 0.9733333333333334,
559
+ "eval_loss": 0.1787085384130478,
560
+ "eval_runtime": 4.4861,
561
+ "eval_samples_per_second": 16.718,
562
+ "eval_steps_per_second": 0.669,
563
  "step": 265
564
  },
565
  {
566
  "epoch": 53.91,
567
  "eval_accuracy": 0.9733333333333334,
568
+ "eval_loss": 0.1787085384130478,
569
+ "eval_runtime": 4.445,
570
+ "eval_samples_per_second": 16.873,
571
+ "eval_steps_per_second": 0.675,
572
  "step": 270
573
  },
574
  {
575
  "epoch": 54.91,
576
  "eval_accuracy": 0.9733333333333334,
577
+ "eval_loss": 0.1787085384130478,
578
+ "eval_runtime": 4.4586,
579
+ "eval_samples_per_second": 16.821,
580
+ "eval_steps_per_second": 0.673,
581
  "step": 275
582
  },
583
  {
584
  "epoch": 55.91,
585
+ "learning_rate": 0.0,
586
+ "loss": 0.4031,
587
  "step": 280
588
  },
589
  {
590
  "epoch": 55.91,
591
  "eval_accuracy": 0.9733333333333334,
592
+ "eval_loss": 0.1787085384130478,
593
+ "eval_runtime": 4.3612,
594
+ "eval_samples_per_second": 17.197,
595
+ "eval_steps_per_second": 0.688,
596
  "step": 280
597
  },
598
  {
599
  "epoch": 56.91,
600
  "eval_accuracy": 0.9733333333333334,
601
+ "eval_loss": 0.1787085384130478,
602
+ "eval_runtime": 4.4343,
603
+ "eval_samples_per_second": 16.914,
604
+ "eval_steps_per_second": 0.677,
605
  "step": 285
606
  },
607
  {
608
  "epoch": 57.91,
609
+ "eval_accuracy": 0.9733333333333334,
610
+ "eval_loss": 0.1787085384130478,
611
+ "eval_runtime": 4.4492,
612
+ "eval_samples_per_second": 16.857,
613
  "eval_steps_per_second": 0.674,
614
  "step": 290
615
  },
616
  {
617
  "epoch": 58.91,
618
+ "eval_accuracy": 0.9733333333333334,
619
+ "eval_loss": 0.1787085384130478,
620
+ "eval_runtime": 4.5446,
621
+ "eval_samples_per_second": 16.503,
622
+ "eval_steps_per_second": 0.66,
623
  "step": 295
624
  },
625
  {
626
  "epoch": 59.91,
627
  "learning_rate": 0.0,
628
+ "loss": 0.3787,
629
  "step": 300
630
  },
631
  {
632
  "epoch": 59.91,
633
+ "eval_accuracy": 0.9733333333333334,
634
+ "eval_loss": 0.1787085384130478,
635
+ "eval_runtime": 4.4189,
636
+ "eval_samples_per_second": 16.973,
637
+ "eval_steps_per_second": 0.679,
638
  "step": 300
639
  },
640
  {
641
  "epoch": 59.91,
642
  "step": 300,
643
  "total_flos": 1.0044714081093673e+18,
644
+ "train_loss": 0.3854776843388875,
645
+ "train_runtime": 7248.8786,
646
+ "train_samples_per_second": 5.579,
647
+ "train_steps_per_second": 0.041
648
  }
649
  ],
650
  "max_steps": 300,