RobertoSonic commited on
Commit
f2e2ed6
1 Parent(s): 17098f7

End of training

Browse files
README.md CHANGED
@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
17
 
18
  This model is a fine-tuned version of [microsoft/swinv2-tiny-patch4-window8-256](https://huggingface.co/microsoft/swinv2-tiny-patch4-window8-256) on an unknown dataset.
19
  It achieves the following results on the evaluation set:
20
- - Loss: 0.7356
21
- - Accuracy: 0.6923
22
 
23
  ## Model description
24
 
 
17
 
18
  This model is a fine-tuned version of [microsoft/swinv2-tiny-patch4-window8-256](https://huggingface.co/microsoft/swinv2-tiny-patch4-window8-256) on an unknown dataset.
19
  It achieves the following results on the evaluation set:
20
+ - Loss: 0.7928
21
+ - Accuracy: 0.7115
22
 
23
  ## Model description
24
 
all_results.json ADDED
@@ -0,0 +1,13 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 40.0,
3
+ "eval_accuracy": 0.7115384615384616,
4
+ "eval_loss": 0.792805016040802,
5
+ "eval_runtime": 1.1833,
6
+ "eval_samples_per_second": 43.946,
7
+ "eval_steps_per_second": 1.69,
8
+ "total_flos": 3.0975271558447104e+17,
9
+ "train_loss": 0.7271977722644806,
10
+ "train_runtime": 417.7948,
11
+ "train_samples_per_second": 22.786,
12
+ "train_steps_per_second": 0.191
13
+ }
eval_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 40.0,
3
+ "eval_accuracy": 0.7115384615384616,
4
+ "eval_loss": 0.792805016040802,
5
+ "eval_runtime": 1.1833,
6
+ "eval_samples_per_second": 43.946,
7
+ "eval_steps_per_second": 1.69
8
+ }
runs/Jun16_19-34-20_3d474309800c/events.out.tfevents.1718566904.3d474309800c.4675.3 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f6f75d9efb394f225f067c69adcf109600207b017440b0d409a48537a3116bc6
3
+ size 405
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 40.0,
3
+ "total_flos": 3.0975271558447104e+17,
4
+ "train_loss": 0.7271977722644806,
5
+ "train_runtime": 417.7948,
6
+ "train_samples_per_second": 22.786,
7
+ "train_steps_per_second": 0.191
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,458 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.7115384615384616,
3
+ "best_model_checkpoint": "swinv2-tiny-patch4-window8-256-dmae-humeda-2/checkpoint-36",
4
+ "epoch": 40.0,
5
+ "eval_steps": 500,
6
+ "global_step": 80,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 1.0,
13
+ "eval_accuracy": 0.5,
14
+ "eval_loss": 1.346920132637024,
15
+ "eval_runtime": 1.3119,
16
+ "eval_samples_per_second": 39.637,
17
+ "eval_steps_per_second": 1.525,
18
+ "step": 2
19
+ },
20
+ {
21
+ "epoch": 2.0,
22
+ "eval_accuracy": 0.4807692307692308,
23
+ "eval_loss": 1.3199608325958252,
24
+ "eval_runtime": 0.9192,
25
+ "eval_samples_per_second": 56.574,
26
+ "eval_steps_per_second": 2.176,
27
+ "step": 4
28
+ },
29
+ {
30
+ "epoch": 3.0,
31
+ "eval_accuracy": 0.4807692307692308,
32
+ "eval_loss": 1.3124021291732788,
33
+ "eval_runtime": 1.2398,
34
+ "eval_samples_per_second": 41.943,
35
+ "eval_steps_per_second": 1.613,
36
+ "step": 6
37
+ },
38
+ {
39
+ "epoch": 4.0,
40
+ "eval_accuracy": 0.5,
41
+ "eval_loss": 1.217806100845337,
42
+ "eval_runtime": 0.9102,
43
+ "eval_samples_per_second": 57.131,
44
+ "eval_steps_per_second": 2.197,
45
+ "step": 8
46
+ },
47
+ {
48
+ "epoch": 5.0,
49
+ "grad_norm": 5.100837707519531,
50
+ "learning_rate": 4.8611111111111115e-05,
51
+ "loss": 1.1551,
52
+ "step": 10
53
+ },
54
+ {
55
+ "epoch": 5.0,
56
+ "eval_accuracy": 0.5769230769230769,
57
+ "eval_loss": 1.095713496208191,
58
+ "eval_runtime": 0.9082,
59
+ "eval_samples_per_second": 57.254,
60
+ "eval_steps_per_second": 2.202,
61
+ "step": 10
62
+ },
63
+ {
64
+ "epoch": 6.0,
65
+ "eval_accuracy": 0.5769230769230769,
66
+ "eval_loss": 1.0359364748001099,
67
+ "eval_runtime": 0.9173,
68
+ "eval_samples_per_second": 56.687,
69
+ "eval_steps_per_second": 2.18,
70
+ "step": 12
71
+ },
72
+ {
73
+ "epoch": 7.0,
74
+ "eval_accuracy": 0.5961538461538461,
75
+ "eval_loss": 1.0102628469467163,
76
+ "eval_runtime": 1.2573,
77
+ "eval_samples_per_second": 41.358,
78
+ "eval_steps_per_second": 1.591,
79
+ "step": 14
80
+ },
81
+ {
82
+ "epoch": 8.0,
83
+ "eval_accuracy": 0.6538461538461539,
84
+ "eval_loss": 0.9382320046424866,
85
+ "eval_runtime": 0.9221,
86
+ "eval_samples_per_second": 56.39,
87
+ "eval_steps_per_second": 2.169,
88
+ "step": 16
89
+ },
90
+ {
91
+ "epoch": 9.0,
92
+ "eval_accuracy": 0.6346153846153846,
93
+ "eval_loss": 0.8748425841331482,
94
+ "eval_runtime": 0.9162,
95
+ "eval_samples_per_second": 56.758,
96
+ "eval_steps_per_second": 2.183,
97
+ "step": 18
98
+ },
99
+ {
100
+ "epoch": 10.0,
101
+ "grad_norm": 14.212567329406738,
102
+ "learning_rate": 4.166666666666667e-05,
103
+ "loss": 0.9827,
104
+ "step": 20
105
+ },
106
+ {
107
+ "epoch": 10.0,
108
+ "eval_accuracy": 0.6153846153846154,
109
+ "eval_loss": 0.8836320042610168,
110
+ "eval_runtime": 0.8982,
111
+ "eval_samples_per_second": 57.895,
112
+ "eval_steps_per_second": 2.227,
113
+ "step": 20
114
+ },
115
+ {
116
+ "epoch": 11.0,
117
+ "eval_accuracy": 0.6153846153846154,
118
+ "eval_loss": 0.8573623895645142,
119
+ "eval_runtime": 1.1544,
120
+ "eval_samples_per_second": 45.044,
121
+ "eval_steps_per_second": 1.732,
122
+ "step": 22
123
+ },
124
+ {
125
+ "epoch": 12.0,
126
+ "eval_accuracy": 0.5961538461538461,
127
+ "eval_loss": 0.8493903279304504,
128
+ "eval_runtime": 0.9118,
129
+ "eval_samples_per_second": 57.032,
130
+ "eval_steps_per_second": 2.194,
131
+ "step": 24
132
+ },
133
+ {
134
+ "epoch": 13.0,
135
+ "eval_accuracy": 0.6153846153846154,
136
+ "eval_loss": 0.8225612044334412,
137
+ "eval_runtime": 0.9242,
138
+ "eval_samples_per_second": 56.266,
139
+ "eval_steps_per_second": 2.164,
140
+ "step": 26
141
+ },
142
+ {
143
+ "epoch": 14.0,
144
+ "eval_accuracy": 0.6346153846153846,
145
+ "eval_loss": 0.824204683303833,
146
+ "eval_runtime": 1.0428,
147
+ "eval_samples_per_second": 49.868,
148
+ "eval_steps_per_second": 1.918,
149
+ "step": 28
150
+ },
151
+ {
152
+ "epoch": 15.0,
153
+ "grad_norm": 10.8810396194458,
154
+ "learning_rate": 3.472222222222222e-05,
155
+ "loss": 0.8007,
156
+ "step": 30
157
+ },
158
+ {
159
+ "epoch": 15.0,
160
+ "eval_accuracy": 0.6153846153846154,
161
+ "eval_loss": 0.8303971886634827,
162
+ "eval_runtime": 0.9217,
163
+ "eval_samples_per_second": 56.42,
164
+ "eval_steps_per_second": 2.17,
165
+ "step": 30
166
+ },
167
+ {
168
+ "epoch": 16.0,
169
+ "eval_accuracy": 0.6538461538461539,
170
+ "eval_loss": 0.8447372913360596,
171
+ "eval_runtime": 0.9276,
172
+ "eval_samples_per_second": 56.061,
173
+ "eval_steps_per_second": 2.156,
174
+ "step": 32
175
+ },
176
+ {
177
+ "epoch": 17.0,
178
+ "eval_accuracy": 0.6923076923076923,
179
+ "eval_loss": 0.8228283524513245,
180
+ "eval_runtime": 0.9517,
181
+ "eval_samples_per_second": 54.638,
182
+ "eval_steps_per_second": 2.101,
183
+ "step": 34
184
+ },
185
+ {
186
+ "epoch": 18.0,
187
+ "eval_accuracy": 0.7115384615384616,
188
+ "eval_loss": 0.792805016040802,
189
+ "eval_runtime": 0.9507,
190
+ "eval_samples_per_second": 54.698,
191
+ "eval_steps_per_second": 2.104,
192
+ "step": 36
193
+ },
194
+ {
195
+ "epoch": 19.0,
196
+ "eval_accuracy": 0.6730769230769231,
197
+ "eval_loss": 0.7822188138961792,
198
+ "eval_runtime": 1.2729,
199
+ "eval_samples_per_second": 40.853,
200
+ "eval_steps_per_second": 1.571,
201
+ "step": 38
202
+ },
203
+ {
204
+ "epoch": 20.0,
205
+ "grad_norm": 8.834497451782227,
206
+ "learning_rate": 2.777777777777778e-05,
207
+ "loss": 0.6882,
208
+ "step": 40
209
+ },
210
+ {
211
+ "epoch": 20.0,
212
+ "eval_accuracy": 0.6538461538461539,
213
+ "eval_loss": 0.7749820351600647,
214
+ "eval_runtime": 0.92,
215
+ "eval_samples_per_second": 56.524,
216
+ "eval_steps_per_second": 2.174,
217
+ "step": 40
218
+ },
219
+ {
220
+ "epoch": 21.0,
221
+ "eval_accuracy": 0.6538461538461539,
222
+ "eval_loss": 0.7726113796234131,
223
+ "eval_runtime": 0.9301,
224
+ "eval_samples_per_second": 55.907,
225
+ "eval_steps_per_second": 2.15,
226
+ "step": 42
227
+ },
228
+ {
229
+ "epoch": 22.0,
230
+ "eval_accuracy": 0.6730769230769231,
231
+ "eval_loss": 0.7897683382034302,
232
+ "eval_runtime": 0.9198,
233
+ "eval_samples_per_second": 56.533,
234
+ "eval_steps_per_second": 2.174,
235
+ "step": 44
236
+ },
237
+ {
238
+ "epoch": 23.0,
239
+ "eval_accuracy": 0.6730769230769231,
240
+ "eval_loss": 0.8020899891853333,
241
+ "eval_runtime": 1.1676,
242
+ "eval_samples_per_second": 44.534,
243
+ "eval_steps_per_second": 1.713,
244
+ "step": 46
245
+ },
246
+ {
247
+ "epoch": 24.0,
248
+ "eval_accuracy": 0.6923076923076923,
249
+ "eval_loss": 0.7834421396255493,
250
+ "eval_runtime": 0.952,
251
+ "eval_samples_per_second": 54.625,
252
+ "eval_steps_per_second": 2.101,
253
+ "step": 48
254
+ },
255
+ {
256
+ "epoch": 25.0,
257
+ "grad_norm": 6.992414951324463,
258
+ "learning_rate": 2.0833333333333336e-05,
259
+ "loss": 0.6154,
260
+ "step": 50
261
+ },
262
+ {
263
+ "epoch": 25.0,
264
+ "eval_accuracy": 0.6730769230769231,
265
+ "eval_loss": 0.7633832097053528,
266
+ "eval_runtime": 0.9404,
267
+ "eval_samples_per_second": 55.295,
268
+ "eval_steps_per_second": 2.127,
269
+ "step": 50
270
+ },
271
+ {
272
+ "epoch": 26.0,
273
+ "eval_accuracy": 0.6923076923076923,
274
+ "eval_loss": 0.7583783864974976,
275
+ "eval_runtime": 0.9339,
276
+ "eval_samples_per_second": 55.678,
277
+ "eval_steps_per_second": 2.141,
278
+ "step": 52
279
+ },
280
+ {
281
+ "epoch": 27.0,
282
+ "eval_accuracy": 0.6538461538461539,
283
+ "eval_loss": 0.7772932052612305,
284
+ "eval_runtime": 0.9753,
285
+ "eval_samples_per_second": 53.318,
286
+ "eval_steps_per_second": 2.051,
287
+ "step": 54
288
+ },
289
+ {
290
+ "epoch": 28.0,
291
+ "eval_accuracy": 0.6538461538461539,
292
+ "eval_loss": 0.7829698324203491,
293
+ "eval_runtime": 1.1036,
294
+ "eval_samples_per_second": 47.12,
295
+ "eval_steps_per_second": 1.812,
296
+ "step": 56
297
+ },
298
+ {
299
+ "epoch": 29.0,
300
+ "eval_accuracy": 0.6538461538461539,
301
+ "eval_loss": 0.7719097137451172,
302
+ "eval_runtime": 0.9261,
303
+ "eval_samples_per_second": 56.149,
304
+ "eval_steps_per_second": 2.16,
305
+ "step": 58
306
+ },
307
+ {
308
+ "epoch": 30.0,
309
+ "grad_norm": 10.087705612182617,
310
+ "learning_rate": 1.388888888888889e-05,
311
+ "loss": 0.541,
312
+ "step": 60
313
+ },
314
+ {
315
+ "epoch": 30.0,
316
+ "eval_accuracy": 0.6538461538461539,
317
+ "eval_loss": 0.7602768540382385,
318
+ "eval_runtime": 0.9394,
319
+ "eval_samples_per_second": 55.357,
320
+ "eval_steps_per_second": 2.129,
321
+ "step": 60
322
+ },
323
+ {
324
+ "epoch": 31.0,
325
+ "eval_accuracy": 0.6730769230769231,
326
+ "eval_loss": 0.7497422695159912,
327
+ "eval_runtime": 0.9375,
328
+ "eval_samples_per_second": 55.469,
329
+ "eval_steps_per_second": 2.133,
330
+ "step": 62
331
+ },
332
+ {
333
+ "epoch": 32.0,
334
+ "eval_accuracy": 0.7115384615384616,
335
+ "eval_loss": 0.7381149530410767,
336
+ "eval_runtime": 0.9116,
337
+ "eval_samples_per_second": 57.042,
338
+ "eval_steps_per_second": 2.194,
339
+ "step": 64
340
+ },
341
+ {
342
+ "epoch": 33.0,
343
+ "eval_accuracy": 0.6923076923076923,
344
+ "eval_loss": 0.7274792790412903,
345
+ "eval_runtime": 1.2761,
346
+ "eval_samples_per_second": 40.748,
347
+ "eval_steps_per_second": 1.567,
348
+ "step": 66
349
+ },
350
+ {
351
+ "epoch": 34.0,
352
+ "eval_accuracy": 0.6923076923076923,
353
+ "eval_loss": 0.7277012467384338,
354
+ "eval_runtime": 1.2551,
355
+ "eval_samples_per_second": 41.429,
356
+ "eval_steps_per_second": 1.593,
357
+ "step": 68
358
+ },
359
+ {
360
+ "epoch": 35.0,
361
+ "grad_norm": 9.500407218933105,
362
+ "learning_rate": 6.944444444444445e-06,
363
+ "loss": 0.5163,
364
+ "step": 70
365
+ },
366
+ {
367
+ "epoch": 35.0,
368
+ "eval_accuracy": 0.6923076923076923,
369
+ "eval_loss": 0.7271146774291992,
370
+ "eval_runtime": 0.9407,
371
+ "eval_samples_per_second": 55.278,
372
+ "eval_steps_per_second": 2.126,
373
+ "step": 70
374
+ },
375
+ {
376
+ "epoch": 36.0,
377
+ "eval_accuracy": 0.6923076923076923,
378
+ "eval_loss": 0.7273848652839661,
379
+ "eval_runtime": 0.9428,
380
+ "eval_samples_per_second": 55.153,
381
+ "eval_steps_per_second": 2.121,
382
+ "step": 72
383
+ },
384
+ {
385
+ "epoch": 37.0,
386
+ "eval_accuracy": 0.6923076923076923,
387
+ "eval_loss": 0.7304191589355469,
388
+ "eval_runtime": 0.945,
389
+ "eval_samples_per_second": 55.024,
390
+ "eval_steps_per_second": 2.116,
391
+ "step": 74
392
+ },
393
+ {
394
+ "epoch": 38.0,
395
+ "eval_accuracy": 0.6923076923076923,
396
+ "eval_loss": 0.7329342365264893,
397
+ "eval_runtime": 0.9371,
398
+ "eval_samples_per_second": 55.491,
399
+ "eval_steps_per_second": 2.134,
400
+ "step": 76
401
+ },
402
+ {
403
+ "epoch": 39.0,
404
+ "eval_accuracy": 0.6923076923076923,
405
+ "eval_loss": 0.7351483702659607,
406
+ "eval_runtime": 1.2586,
407
+ "eval_samples_per_second": 41.316,
408
+ "eval_steps_per_second": 1.589,
409
+ "step": 78
410
+ },
411
+ {
412
+ "epoch": 40.0,
413
+ "grad_norm": 11.405285835266113,
414
+ "learning_rate": 0.0,
415
+ "loss": 0.5183,
416
+ "step": 80
417
+ },
418
+ {
419
+ "epoch": 40.0,
420
+ "eval_accuracy": 0.6923076923076923,
421
+ "eval_loss": 0.7355996370315552,
422
+ "eval_runtime": 1.036,
423
+ "eval_samples_per_second": 50.192,
424
+ "eval_steps_per_second": 1.93,
425
+ "step": 80
426
+ },
427
+ {
428
+ "epoch": 40.0,
429
+ "step": 80,
430
+ "total_flos": 3.0975271558447104e+17,
431
+ "train_loss": 0.7271977722644806,
432
+ "train_runtime": 417.7948,
433
+ "train_samples_per_second": 22.786,
434
+ "train_steps_per_second": 0.191
435
+ }
436
+ ],
437
+ "logging_steps": 10,
438
+ "max_steps": 80,
439
+ "num_input_tokens_seen": 0,
440
+ "num_train_epochs": 40,
441
+ "save_steps": 500,
442
+ "stateful_callbacks": {
443
+ "TrainerControl": {
444
+ "args": {
445
+ "should_epoch_stop": false,
446
+ "should_evaluate": false,
447
+ "should_log": false,
448
+ "should_save": true,
449
+ "should_training_stop": true
450
+ },
451
+ "attributes": {}
452
+ }
453
+ },
454
+ "total_flos": 3.0975271558447104e+17,
455
+ "train_batch_size": 32,
456
+ "trial_name": null,
457
+ "trial_params": null
458
+ }