FanJing0914 commited on
Commit
13fa5ea
·
verified ·
1 Parent(s): 66c861b

End of training

Browse files
Files changed (5) hide show
  1. README.md +5 -3
  2. all_results.json +12 -0
  3. eval_results.json +8 -0
  4. train_results.json +7 -0
  5. trainer_state.json +530 -0
README.md CHANGED
@@ -2,6 +2,8 @@
2
  license: apache-2.0
3
  base_model: google/vit-base-patch16-224-in21k
4
  tags:
 
 
5
  - generated_from_trainer
6
  metrics:
7
  - accuracy
@@ -15,10 +17,10 @@ should probably proofread and complete it, then remove this comment. -->
15
 
16
  # vit-base-beans
17
 
18
- This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on an unknown dataset.
19
  It achieves the following results on the evaluation set:
20
- - Loss: 0.0795
21
- - Accuracy: 0.9774
22
 
23
  ## Model description
24
 
 
2
  license: apache-2.0
3
  base_model: google/vit-base-patch16-224-in21k
4
  tags:
5
+ - image-classification
6
+ - vision
7
  - generated_from_trainer
8
  metrics:
9
  - accuracy
 
17
 
18
  # vit-base-beans
19
 
20
+ This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the beans dataset.
21
  It achieves the following results on the evaluation set:
22
+ - Loss: 0.0644
23
+ - Accuracy: 0.9925
24
 
25
  ## Model description
26
 
all_results.json ADDED
@@ -0,0 +1,12 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 5.0,
3
+ "eval_accuracy": 0.9924812030075187,
4
+ "eval_loss": 0.06443430483341217,
5
+ "eval_runtime": 1.7605,
6
+ "eval_samples_per_second": 75.545,
7
+ "eval_steps_per_second": 9.656,
8
+ "train_loss": 0.21938713550567626,
9
+ "train_runtime": 203.0056,
10
+ "train_samples_per_second": 25.467,
11
+ "train_steps_per_second": 3.202
12
+ }
eval_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 5.0,
3
+ "eval_accuracy": 0.9924812030075187,
4
+ "eval_loss": 0.06443430483341217,
5
+ "eval_runtime": 1.7605,
6
+ "eval_samples_per_second": 75.545,
7
+ "eval_steps_per_second": 9.656
8
+ }
train_results.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 5.0,
3
+ "train_loss": 0.21938713550567626,
4
+ "train_runtime": 203.0056,
5
+ "train_samples_per_second": 25.467,
6
+ "train_steps_per_second": 3.202
7
+ }
trainer_state.json ADDED
@@ -0,0 +1,530 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.06443430483341217,
3
+ "best_model_checkpoint": "./beans_outputs/checkpoint-520",
4
+ "epoch": 5.0,
5
+ "eval_steps": 500,
6
+ "global_step": 650,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.08,
13
+ "grad_norm": 2.198350429534912,
14
+ "learning_rate": 1.9692307692307696e-05,
15
+ "loss": 1.0245,
16
+ "step": 10
17
+ },
18
+ {
19
+ "epoch": 0.15,
20
+ "grad_norm": 1.8455473184585571,
21
+ "learning_rate": 1.9384615384615386e-05,
22
+ "loss": 0.9453,
23
+ "step": 20
24
+ },
25
+ {
26
+ "epoch": 0.23,
27
+ "grad_norm": 2.1065616607666016,
28
+ "learning_rate": 1.907692307692308e-05,
29
+ "loss": 0.8403,
30
+ "step": 30
31
+ },
32
+ {
33
+ "epoch": 0.31,
34
+ "grad_norm": 2.614351749420166,
35
+ "learning_rate": 1.876923076923077e-05,
36
+ "loss": 0.6945,
37
+ "step": 40
38
+ },
39
+ {
40
+ "epoch": 0.38,
41
+ "grad_norm": 4.106573104858398,
42
+ "learning_rate": 1.8461538461538465e-05,
43
+ "loss": 0.6607,
44
+ "step": 50
45
+ },
46
+ {
47
+ "epoch": 0.46,
48
+ "grad_norm": 2.129425048828125,
49
+ "learning_rate": 1.8153846153846155e-05,
50
+ "loss": 0.5811,
51
+ "step": 60
52
+ },
53
+ {
54
+ "epoch": 0.54,
55
+ "grad_norm": 1.8207303285598755,
56
+ "learning_rate": 1.784615384615385e-05,
57
+ "loss": 0.5191,
58
+ "step": 70
59
+ },
60
+ {
61
+ "epoch": 0.62,
62
+ "grad_norm": 1.2188501358032227,
63
+ "learning_rate": 1.753846153846154e-05,
64
+ "loss": 0.3937,
65
+ "step": 80
66
+ },
67
+ {
68
+ "epoch": 0.69,
69
+ "grad_norm": 2.4855401515960693,
70
+ "learning_rate": 1.7230769230769234e-05,
71
+ "loss": 0.3523,
72
+ "step": 90
73
+ },
74
+ {
75
+ "epoch": 0.77,
76
+ "grad_norm": 2.9041554927825928,
77
+ "learning_rate": 1.6923076923076924e-05,
78
+ "loss": 0.3669,
79
+ "step": 100
80
+ },
81
+ {
82
+ "epoch": 0.85,
83
+ "grad_norm": 1.978524923324585,
84
+ "learning_rate": 1.6615384615384618e-05,
85
+ "loss": 0.3324,
86
+ "step": 110
87
+ },
88
+ {
89
+ "epoch": 0.92,
90
+ "grad_norm": 2.6394453048706055,
91
+ "learning_rate": 1.630769230769231e-05,
92
+ "loss": 0.2456,
93
+ "step": 120
94
+ },
95
+ {
96
+ "epoch": 1.0,
97
+ "grad_norm": 11.733540534973145,
98
+ "learning_rate": 1.6000000000000003e-05,
99
+ "loss": 0.2826,
100
+ "step": 130
101
+ },
102
+ {
103
+ "epoch": 1.0,
104
+ "eval_accuracy": 0.9624060150375939,
105
+ "eval_loss": 0.21461370587348938,
106
+ "eval_runtime": 1.7023,
107
+ "eval_samples_per_second": 78.132,
108
+ "eval_steps_per_second": 9.987,
109
+ "step": 130
110
+ },
111
+ {
112
+ "epoch": 1.08,
113
+ "grad_norm": 1.2605695724487305,
114
+ "learning_rate": 1.5692307692307693e-05,
115
+ "loss": 0.1986,
116
+ "step": 140
117
+ },
118
+ {
119
+ "epoch": 1.15,
120
+ "grad_norm": 3.18729829788208,
121
+ "learning_rate": 1.5384615384615387e-05,
122
+ "loss": 0.2255,
123
+ "step": 150
124
+ },
125
+ {
126
+ "epoch": 1.23,
127
+ "grad_norm": 1.4626598358154297,
128
+ "learning_rate": 1.5076923076923078e-05,
129
+ "loss": 0.205,
130
+ "step": 160
131
+ },
132
+ {
133
+ "epoch": 1.31,
134
+ "grad_norm": 0.5206894278526306,
135
+ "learning_rate": 1.4769230769230772e-05,
136
+ "loss": 0.2284,
137
+ "step": 170
138
+ },
139
+ {
140
+ "epoch": 1.38,
141
+ "grad_norm": 0.6028104424476624,
142
+ "learning_rate": 1.4461538461538462e-05,
143
+ "loss": 0.2141,
144
+ "step": 180
145
+ },
146
+ {
147
+ "epoch": 1.46,
148
+ "grad_norm": 3.1314830780029297,
149
+ "learning_rate": 1.4153846153846156e-05,
150
+ "loss": 0.1602,
151
+ "step": 190
152
+ },
153
+ {
154
+ "epoch": 1.54,
155
+ "grad_norm": 0.4666638672351837,
156
+ "learning_rate": 1.3846153846153847e-05,
157
+ "loss": 0.259,
158
+ "step": 200
159
+ },
160
+ {
161
+ "epoch": 1.62,
162
+ "grad_norm": 1.2395788431167603,
163
+ "learning_rate": 1.353846153846154e-05,
164
+ "loss": 0.1841,
165
+ "step": 210
166
+ },
167
+ {
168
+ "epoch": 1.69,
169
+ "grad_norm": 2.4894907474517822,
170
+ "learning_rate": 1.3230769230769231e-05,
171
+ "loss": 0.2117,
172
+ "step": 220
173
+ },
174
+ {
175
+ "epoch": 1.77,
176
+ "grad_norm": 1.910448670387268,
177
+ "learning_rate": 1.2923076923076925e-05,
178
+ "loss": 0.1682,
179
+ "step": 230
180
+ },
181
+ {
182
+ "epoch": 1.85,
183
+ "grad_norm": 4.8757429122924805,
184
+ "learning_rate": 1.2615384615384616e-05,
185
+ "loss": 0.2634,
186
+ "step": 240
187
+ },
188
+ {
189
+ "epoch": 1.92,
190
+ "grad_norm": 0.37920522689819336,
191
+ "learning_rate": 1.230769230769231e-05,
192
+ "loss": 0.1402,
193
+ "step": 250
194
+ },
195
+ {
196
+ "epoch": 2.0,
197
+ "grad_norm": 0.3483049273490906,
198
+ "learning_rate": 1.2e-05,
199
+ "loss": 0.1306,
200
+ "step": 260
201
+ },
202
+ {
203
+ "epoch": 2.0,
204
+ "eval_accuracy": 0.9699248120300752,
205
+ "eval_loss": 0.12822628021240234,
206
+ "eval_runtime": 1.6876,
207
+ "eval_samples_per_second": 78.81,
208
+ "eval_steps_per_second": 10.073,
209
+ "step": 260
210
+ },
211
+ {
212
+ "epoch": 2.08,
213
+ "grad_norm": 0.4993837773799896,
214
+ "learning_rate": 1.1692307692307694e-05,
215
+ "loss": 0.0933,
216
+ "step": 270
217
+ },
218
+ {
219
+ "epoch": 2.15,
220
+ "grad_norm": 0.33854740858078003,
221
+ "learning_rate": 1.1384615384615385e-05,
222
+ "loss": 0.1407,
223
+ "step": 280
224
+ },
225
+ {
226
+ "epoch": 2.23,
227
+ "grad_norm": 6.487577438354492,
228
+ "learning_rate": 1.1076923076923079e-05,
229
+ "loss": 0.1207,
230
+ "step": 290
231
+ },
232
+ {
233
+ "epoch": 2.31,
234
+ "grad_norm": 7.572403430938721,
235
+ "learning_rate": 1.076923076923077e-05,
236
+ "loss": 0.139,
237
+ "step": 300
238
+ },
239
+ {
240
+ "epoch": 2.38,
241
+ "grad_norm": 4.639190196990967,
242
+ "learning_rate": 1.0461538461538463e-05,
243
+ "loss": 0.1735,
244
+ "step": 310
245
+ },
246
+ {
247
+ "epoch": 2.46,
248
+ "grad_norm": 0.31310051679611206,
249
+ "learning_rate": 1.0153846153846154e-05,
250
+ "loss": 0.1563,
251
+ "step": 320
252
+ },
253
+ {
254
+ "epoch": 2.54,
255
+ "grad_norm": 6.506566047668457,
256
+ "learning_rate": 9.846153846153848e-06,
257
+ "loss": 0.185,
258
+ "step": 330
259
+ },
260
+ {
261
+ "epoch": 2.62,
262
+ "grad_norm": 1.2759567499160767,
263
+ "learning_rate": 9.53846153846154e-06,
264
+ "loss": 0.0761,
265
+ "step": 340
266
+ },
267
+ {
268
+ "epoch": 2.69,
269
+ "grad_norm": 0.34429147839546204,
270
+ "learning_rate": 9.230769230769232e-06,
271
+ "loss": 0.1355,
272
+ "step": 350
273
+ },
274
+ {
275
+ "epoch": 2.77,
276
+ "grad_norm": 9.9702787399292,
277
+ "learning_rate": 8.923076923076925e-06,
278
+ "loss": 0.1176,
279
+ "step": 360
280
+ },
281
+ {
282
+ "epoch": 2.85,
283
+ "grad_norm": 0.3892934024333954,
284
+ "learning_rate": 8.615384615384617e-06,
285
+ "loss": 0.1507,
286
+ "step": 370
287
+ },
288
+ {
289
+ "epoch": 2.92,
290
+ "grad_norm": 1.1851181983947754,
291
+ "learning_rate": 8.307692307692309e-06,
292
+ "loss": 0.1324,
293
+ "step": 380
294
+ },
295
+ {
296
+ "epoch": 3.0,
297
+ "grad_norm": 0.29040664434432983,
298
+ "learning_rate": 8.000000000000001e-06,
299
+ "loss": 0.1451,
300
+ "step": 390
301
+ },
302
+ {
303
+ "epoch": 3.0,
304
+ "eval_accuracy": 0.9774436090225563,
305
+ "eval_loss": 0.09662821888923645,
306
+ "eval_runtime": 1.7019,
307
+ "eval_samples_per_second": 78.15,
308
+ "eval_steps_per_second": 9.989,
309
+ "step": 390
310
+ },
311
+ {
312
+ "epoch": 3.08,
313
+ "grad_norm": 2.813366174697876,
314
+ "learning_rate": 7.692307692307694e-06,
315
+ "loss": 0.1365,
316
+ "step": 400
317
+ },
318
+ {
319
+ "epoch": 3.15,
320
+ "grad_norm": 6.747802257537842,
321
+ "learning_rate": 7.384615384615386e-06,
322
+ "loss": 0.1604,
323
+ "step": 410
324
+ },
325
+ {
326
+ "epoch": 3.23,
327
+ "grad_norm": 8.719525337219238,
328
+ "learning_rate": 7.076923076923078e-06,
329
+ "loss": 0.1448,
330
+ "step": 420
331
+ },
332
+ {
333
+ "epoch": 3.31,
334
+ "grad_norm": 0.23202432692050934,
335
+ "learning_rate": 6.76923076923077e-06,
336
+ "loss": 0.0717,
337
+ "step": 430
338
+ },
339
+ {
340
+ "epoch": 3.38,
341
+ "grad_norm": 4.157703399658203,
342
+ "learning_rate": 6.461538461538463e-06,
343
+ "loss": 0.1157,
344
+ "step": 440
345
+ },
346
+ {
347
+ "epoch": 3.46,
348
+ "grad_norm": 12.880057334899902,
349
+ "learning_rate": 6.153846153846155e-06,
350
+ "loss": 0.0834,
351
+ "step": 450
352
+ },
353
+ {
354
+ "epoch": 3.54,
355
+ "grad_norm": 5.217643737792969,
356
+ "learning_rate": 5.846153846153847e-06,
357
+ "loss": 0.0972,
358
+ "step": 460
359
+ },
360
+ {
361
+ "epoch": 3.62,
362
+ "grad_norm": 8.088122367858887,
363
+ "learning_rate": 5.538461538461539e-06,
364
+ "loss": 0.0788,
365
+ "step": 470
366
+ },
367
+ {
368
+ "epoch": 3.69,
369
+ "grad_norm": 0.22004778683185577,
370
+ "learning_rate": 5.230769230769232e-06,
371
+ "loss": 0.0884,
372
+ "step": 480
373
+ },
374
+ {
375
+ "epoch": 3.77,
376
+ "grad_norm": 0.21302741765975952,
377
+ "learning_rate": 4.923076923076924e-06,
378
+ "loss": 0.0752,
379
+ "step": 490
380
+ },
381
+ {
382
+ "epoch": 3.85,
383
+ "grad_norm": 0.8432028889656067,
384
+ "learning_rate": 4.615384615384616e-06,
385
+ "loss": 0.1344,
386
+ "step": 500
387
+ },
388
+ {
389
+ "epoch": 3.92,
390
+ "grad_norm": 0.21321173012256622,
391
+ "learning_rate": 4.307692307692308e-06,
392
+ "loss": 0.1274,
393
+ "step": 510
394
+ },
395
+ {
396
+ "epoch": 4.0,
397
+ "grad_norm": 0.3039676249027252,
398
+ "learning_rate": 4.000000000000001e-06,
399
+ "loss": 0.0785,
400
+ "step": 520
401
+ },
402
+ {
403
+ "epoch": 4.0,
404
+ "eval_accuracy": 0.9924812030075187,
405
+ "eval_loss": 0.06443430483341217,
406
+ "eval_runtime": 1.7085,
407
+ "eval_samples_per_second": 77.845,
408
+ "eval_steps_per_second": 9.95,
409
+ "step": 520
410
+ },
411
+ {
412
+ "epoch": 4.08,
413
+ "grad_norm": 8.200630187988281,
414
+ "learning_rate": 3.692307692307693e-06,
415
+ "loss": 0.1003,
416
+ "step": 530
417
+ },
418
+ {
419
+ "epoch": 4.15,
420
+ "grad_norm": 1.6478914022445679,
421
+ "learning_rate": 3.384615384615385e-06,
422
+ "loss": 0.1675,
423
+ "step": 540
424
+ },
425
+ {
426
+ "epoch": 4.23,
427
+ "grad_norm": 0.3463890254497528,
428
+ "learning_rate": 3.0769230769230774e-06,
429
+ "loss": 0.1522,
430
+ "step": 550
431
+ },
432
+ {
433
+ "epoch": 4.31,
434
+ "grad_norm": 1.3014988899230957,
435
+ "learning_rate": 2.7692307692307697e-06,
436
+ "loss": 0.0504,
437
+ "step": 560
438
+ },
439
+ {
440
+ "epoch": 4.38,
441
+ "grad_norm": 0.3259345591068268,
442
+ "learning_rate": 2.461538461538462e-06,
443
+ "loss": 0.1332,
444
+ "step": 570
445
+ },
446
+ {
447
+ "epoch": 4.46,
448
+ "grad_norm": 0.2652953565120697,
449
+ "learning_rate": 2.153846153846154e-06,
450
+ "loss": 0.0824,
451
+ "step": 580
452
+ },
453
+ {
454
+ "epoch": 4.54,
455
+ "grad_norm": 8.841487884521484,
456
+ "learning_rate": 1.8461538461538465e-06,
457
+ "loss": 0.0709,
458
+ "step": 590
459
+ },
460
+ {
461
+ "epoch": 4.62,
462
+ "grad_norm": 1.8583545684814453,
463
+ "learning_rate": 1.5384615384615387e-06,
464
+ "loss": 0.0921,
465
+ "step": 600
466
+ },
467
+ {
468
+ "epoch": 4.69,
469
+ "grad_norm": 5.223345756530762,
470
+ "learning_rate": 1.230769230769231e-06,
471
+ "loss": 0.0869,
472
+ "step": 610
473
+ },
474
+ {
475
+ "epoch": 4.77,
476
+ "grad_norm": 0.26816922426223755,
477
+ "learning_rate": 9.230769230769232e-07,
478
+ "loss": 0.0808,
479
+ "step": 620
480
+ },
481
+ {
482
+ "epoch": 4.85,
483
+ "grad_norm": 0.2151552438735962,
484
+ "learning_rate": 6.153846153846155e-07,
485
+ "loss": 0.0662,
486
+ "step": 630
487
+ },
488
+ {
489
+ "epoch": 4.92,
490
+ "grad_norm": 0.23172561824321747,
491
+ "learning_rate": 3.0769230769230774e-07,
492
+ "loss": 0.0783,
493
+ "step": 640
494
+ },
495
+ {
496
+ "epoch": 5.0,
497
+ "grad_norm": 0.5893689393997192,
498
+ "learning_rate": 0.0,
499
+ "loss": 0.1125,
500
+ "step": 650
501
+ },
502
+ {
503
+ "epoch": 5.0,
504
+ "eval_accuracy": 0.9774436090225563,
505
+ "eval_loss": 0.07952458411455154,
506
+ "eval_runtime": 1.7098,
507
+ "eval_samples_per_second": 77.786,
508
+ "eval_steps_per_second": 9.943,
509
+ "step": 650
510
+ },
511
+ {
512
+ "epoch": 5.0,
513
+ "step": 650,
514
+ "total_flos": 4.006371770595533e+17,
515
+ "train_loss": 0.21938713550567626,
516
+ "train_runtime": 203.0056,
517
+ "train_samples_per_second": 25.467,
518
+ "train_steps_per_second": 3.202
519
+ }
520
+ ],
521
+ "logging_steps": 10,
522
+ "max_steps": 650,
523
+ "num_input_tokens_seen": 0,
524
+ "num_train_epochs": 5,
525
+ "save_steps": 500,
526
+ "total_flos": 4.006371770595533e+17,
527
+ "train_batch_size": 8,
528
+ "trial_name": null,
529
+ "trial_params": null
530
+ }