Augusto777 commited on
Commit
60c95a4
·
verified ·
1 Parent(s): 04aaa0f

End of training

Browse files
README.md CHANGED
@@ -32,7 +32,7 @@ should probably proofread and complete it, then remove this comment. -->
32
 
33
  This model is a fine-tuned version of [microsoft/swinv2-tiny-patch4-window8-256](https://huggingface.co/microsoft/swinv2-tiny-patch4-window8-256) on the imagefolder dataset.
34
  It achieves the following results on the evaluation set:
35
- - Loss: 6.3664
36
  - Accuracy: 0.1087
37
 
38
  ## Model description
 
32
 
33
  This model is a fine-tuned version of [microsoft/swinv2-tiny-patch4-window8-256](https://huggingface.co/microsoft/swinv2-tiny-patch4-window8-256) on the imagefolder dataset.
34
  It achieves the following results on the evaluation set:
35
+ - Loss: 7.9427
36
  - Accuracy: 0.1087
37
 
38
  ## Model description
all_results.json ADDED
@@ -0,0 +1,12 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 34.29,
3
+ "eval_accuracy": 0.10869565217391304,
4
+ "eval_loss": 7.94273042678833,
5
+ "eval_runtime": 0.8337,
6
+ "eval_samples_per_second": 55.174,
7
+ "eval_steps_per_second": 3.598,
8
+ "train_loss": 7.123055585225424,
9
+ "train_runtime": 193.127,
10
+ "train_samples_per_second": 44.116,
11
+ "train_steps_per_second": 0.621
12
+ }
eval_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 34.29,
3
+ "eval_accuracy": 0.10869565217391304,
4
+ "eval_loss": 7.94273042678833,
5
+ "eval_runtime": 0.8337,
6
+ "eval_samples_per_second": 55.174,
7
+ "eval_steps_per_second": 3.598
8
+ }
runs/Dec02_21-16-32_DESKTOP-SKBE9FB/events.out.tfevents.1733196014.DESKTOP-SKBE9FB.16940.1 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e5a88a23bf86fec5b8cac524bebea0ff9133e665caa4ef777861c6c64512e9d7
3
+ size 405
train_results.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 34.29,
3
+ "train_loss": 7.123055585225424,
4
+ "train_runtime": 193.127,
5
+ "train_samples_per_second": 44.116,
6
+ "train_steps_per_second": 0.621
7
+ }
trainer_state.json ADDED
@@ -0,0 +1,417 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.10869565217391304,
3
+ "best_model_checkpoint": "swinv2-tiny-patch4-window8-256-DMAE-8e-6\\checkpoint-3",
4
+ "epoch": 34.285714285714285,
5
+ "eval_steps": 500,
6
+ "global_step": 120,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.86,
13
+ "eval_accuracy": 0.10869565217391304,
14
+ "eval_loss": 7.94273042678833,
15
+ "eval_runtime": 0.6742,
16
+ "eval_samples_per_second": 68.233,
17
+ "eval_steps_per_second": 4.45,
18
+ "step": 3
19
+ },
20
+ {
21
+ "epoch": 2.0,
22
+ "eval_accuracy": 0.10869565217391304,
23
+ "eval_loss": 7.938077926635742,
24
+ "eval_runtime": 0.7182,
25
+ "eval_samples_per_second": 64.052,
26
+ "eval_steps_per_second": 4.177,
27
+ "step": 7
28
+ },
29
+ {
30
+ "epoch": 2.86,
31
+ "learning_rate": 6.666666666666667e-06,
32
+ "loss": 7.9636,
33
+ "step": 10
34
+ },
35
+ {
36
+ "epoch": 2.86,
37
+ "eval_accuracy": 0.10869565217391304,
38
+ "eval_loss": 7.930100917816162,
39
+ "eval_runtime": 0.6504,
40
+ "eval_samples_per_second": 70.725,
41
+ "eval_steps_per_second": 4.612,
42
+ "step": 10
43
+ },
44
+ {
45
+ "epoch": 4.0,
46
+ "eval_accuracy": 0.10869565217391304,
47
+ "eval_loss": 7.908843517303467,
48
+ "eval_runtime": 0.6571,
49
+ "eval_samples_per_second": 70.0,
50
+ "eval_steps_per_second": 4.565,
51
+ "step": 14
52
+ },
53
+ {
54
+ "epoch": 4.86,
55
+ "eval_accuracy": 0.10869565217391304,
56
+ "eval_loss": 7.885687828063965,
57
+ "eval_runtime": 0.6511,
58
+ "eval_samples_per_second": 70.645,
59
+ "eval_steps_per_second": 4.607,
60
+ "step": 17
61
+ },
62
+ {
63
+ "epoch": 5.71,
64
+ "learning_rate": 7.4074074074074075e-06,
65
+ "loss": 7.8732,
66
+ "step": 20
67
+ },
68
+ {
69
+ "epoch": 6.0,
70
+ "eval_accuracy": 0.10869565217391304,
71
+ "eval_loss": 7.8449907302856445,
72
+ "eval_runtime": 0.6802,
73
+ "eval_samples_per_second": 67.632,
74
+ "eval_steps_per_second": 4.411,
75
+ "step": 21
76
+ },
77
+ {
78
+ "epoch": 6.86,
79
+ "eval_accuracy": 0.10869565217391304,
80
+ "eval_loss": 7.804883003234863,
81
+ "eval_runtime": 0.6691,
82
+ "eval_samples_per_second": 68.744,
83
+ "eval_steps_per_second": 4.483,
84
+ "step": 24
85
+ },
86
+ {
87
+ "epoch": 8.0,
88
+ "eval_accuracy": 0.10869565217391304,
89
+ "eval_loss": 7.737576007843018,
90
+ "eval_runtime": 0.6657,
91
+ "eval_samples_per_second": 69.104,
92
+ "eval_steps_per_second": 4.507,
93
+ "step": 28
94
+ },
95
+ {
96
+ "epoch": 8.57,
97
+ "learning_rate": 6.666666666666667e-06,
98
+ "loss": 7.6568,
99
+ "step": 30
100
+ },
101
+ {
102
+ "epoch": 8.86,
103
+ "eval_accuracy": 0.10869565217391304,
104
+ "eval_loss": 7.678272247314453,
105
+ "eval_runtime": 0.6862,
106
+ "eval_samples_per_second": 67.04,
107
+ "eval_steps_per_second": 4.372,
108
+ "step": 31
109
+ },
110
+ {
111
+ "epoch": 10.0,
112
+ "eval_accuracy": 0.10869565217391304,
113
+ "eval_loss": 7.594333648681641,
114
+ "eval_runtime": 0.6459,
115
+ "eval_samples_per_second": 71.215,
116
+ "eval_steps_per_second": 4.644,
117
+ "step": 35
118
+ },
119
+ {
120
+ "epoch": 10.86,
121
+ "eval_accuracy": 0.10869565217391304,
122
+ "eval_loss": 7.528815746307373,
123
+ "eval_runtime": 0.6537,
124
+ "eval_samples_per_second": 70.373,
125
+ "eval_steps_per_second": 4.59,
126
+ "step": 38
127
+ },
128
+ {
129
+ "epoch": 11.43,
130
+ "learning_rate": 5.925925925925925e-06,
131
+ "loss": 7.7458,
132
+ "step": 40
133
+ },
134
+ {
135
+ "epoch": 12.0,
136
+ "eval_accuracy": 0.10869565217391304,
137
+ "eval_loss": 7.435303211212158,
138
+ "eval_runtime": 0.6387,
139
+ "eval_samples_per_second": 72.025,
140
+ "eval_steps_per_second": 4.697,
141
+ "step": 42
142
+ },
143
+ {
144
+ "epoch": 12.86,
145
+ "eval_accuracy": 0.10869565217391304,
146
+ "eval_loss": 7.361030101776123,
147
+ "eval_runtime": 0.6672,
148
+ "eval_samples_per_second": 68.947,
149
+ "eval_steps_per_second": 4.497,
150
+ "step": 45
151
+ },
152
+ {
153
+ "epoch": 14.0,
154
+ "eval_accuracy": 0.10869565217391304,
155
+ "eval_loss": 7.261359214782715,
156
+ "eval_runtime": 0.6457,
157
+ "eval_samples_per_second": 71.241,
158
+ "eval_steps_per_second": 4.646,
159
+ "step": 49
160
+ },
161
+ {
162
+ "epoch": 14.29,
163
+ "learning_rate": 5.185185185185185e-06,
164
+ "loss": 7.3025,
165
+ "step": 50
166
+ },
167
+ {
168
+ "epoch": 14.86,
169
+ "eval_accuracy": 0.10869565217391304,
170
+ "eval_loss": 7.189355373382568,
171
+ "eval_runtime": 0.6962,
172
+ "eval_samples_per_second": 66.077,
173
+ "eval_steps_per_second": 4.309,
174
+ "step": 52
175
+ },
176
+ {
177
+ "epoch": 16.0,
178
+ "eval_accuracy": 0.10869565217391304,
179
+ "eval_loss": 7.099257946014404,
180
+ "eval_runtime": 0.6592,
181
+ "eval_samples_per_second": 69.786,
182
+ "eval_steps_per_second": 4.551,
183
+ "step": 56
184
+ },
185
+ {
186
+ "epoch": 16.86,
187
+ "eval_accuracy": 0.10869565217391304,
188
+ "eval_loss": 7.034775257110596,
189
+ "eval_runtime": 0.6762,
190
+ "eval_samples_per_second": 68.032,
191
+ "eval_steps_per_second": 4.437,
192
+ "step": 59
193
+ },
194
+ {
195
+ "epoch": 17.14,
196
+ "learning_rate": 4.444444444444444e-06,
197
+ "loss": 7.0862,
198
+ "step": 60
199
+ },
200
+ {
201
+ "epoch": 18.0,
202
+ "eval_accuracy": 0.10869565217391304,
203
+ "eval_loss": 6.95252799987793,
204
+ "eval_runtime": 0.6451,
205
+ "eval_samples_per_second": 71.302,
206
+ "eval_steps_per_second": 4.65,
207
+ "step": 63
208
+ },
209
+ {
210
+ "epoch": 18.86,
211
+ "eval_accuracy": 0.10869565217391304,
212
+ "eval_loss": 6.894467353820801,
213
+ "eval_runtime": 0.6837,
214
+ "eval_samples_per_second": 67.285,
215
+ "eval_steps_per_second": 4.388,
216
+ "step": 66
217
+ },
218
+ {
219
+ "epoch": 20.0,
220
+ "learning_rate": 3.7037037037037037e-06,
221
+ "loss": 6.9553,
222
+ "step": 70
223
+ },
224
+ {
225
+ "epoch": 20.0,
226
+ "eval_accuracy": 0.10869565217391304,
227
+ "eval_loss": 6.825292110443115,
228
+ "eval_runtime": 0.6427,
229
+ "eval_samples_per_second": 71.578,
230
+ "eval_steps_per_second": 4.668,
231
+ "step": 70
232
+ },
233
+ {
234
+ "epoch": 20.86,
235
+ "eval_accuracy": 0.10869565217391304,
236
+ "eval_loss": 6.779515743255615,
237
+ "eval_runtime": 0.6441,
238
+ "eval_samples_per_second": 71.413,
239
+ "eval_steps_per_second": 4.657,
240
+ "step": 73
241
+ },
242
+ {
243
+ "epoch": 22.0,
244
+ "eval_accuracy": 0.10869565217391304,
245
+ "eval_loss": 6.7202067375183105,
246
+ "eval_runtime": 0.6361,
247
+ "eval_samples_per_second": 72.311,
248
+ "eval_steps_per_second": 4.716,
249
+ "step": 77
250
+ },
251
+ {
252
+ "epoch": 22.86,
253
+ "learning_rate": 2.9629629629629625e-06,
254
+ "loss": 6.8024,
255
+ "step": 80
256
+ },
257
+ {
258
+ "epoch": 22.86,
259
+ "eval_accuracy": 0.10869565217391304,
260
+ "eval_loss": 6.675656318664551,
261
+ "eval_runtime": 0.6491,
262
+ "eval_samples_per_second": 70.862,
263
+ "eval_steps_per_second": 4.621,
264
+ "step": 80
265
+ },
266
+ {
267
+ "epoch": 24.0,
268
+ "eval_accuracy": 0.10869565217391304,
269
+ "eval_loss": 6.621024131774902,
270
+ "eval_runtime": 0.6807,
271
+ "eval_samples_per_second": 67.581,
272
+ "eval_steps_per_second": 4.407,
273
+ "step": 84
274
+ },
275
+ {
276
+ "epoch": 24.86,
277
+ "eval_accuracy": 0.10869565217391304,
278
+ "eval_loss": 6.578530311584473,
279
+ "eval_runtime": 0.6592,
280
+ "eval_samples_per_second": 69.785,
281
+ "eval_steps_per_second": 4.551,
282
+ "step": 87
283
+ },
284
+ {
285
+ "epoch": 25.71,
286
+ "learning_rate": 2.222222222222222e-06,
287
+ "loss": 6.6652,
288
+ "step": 90
289
+ },
290
+ {
291
+ "epoch": 26.0,
292
+ "eval_accuracy": 0.10869565217391304,
293
+ "eval_loss": 6.5274739265441895,
294
+ "eval_runtime": 0.6592,
295
+ "eval_samples_per_second": 69.785,
296
+ "eval_steps_per_second": 4.551,
297
+ "step": 91
298
+ },
299
+ {
300
+ "epoch": 26.86,
301
+ "eval_accuracy": 0.10869565217391304,
302
+ "eval_loss": 6.494857311248779,
303
+ "eval_runtime": 0.6622,
304
+ "eval_samples_per_second": 69.469,
305
+ "eval_steps_per_second": 4.531,
306
+ "step": 94
307
+ },
308
+ {
309
+ "epoch": 28.0,
310
+ "eval_accuracy": 0.10869565217391304,
311
+ "eval_loss": 6.458892345428467,
312
+ "eval_runtime": 0.6467,
313
+ "eval_samples_per_second": 71.136,
314
+ "eval_steps_per_second": 4.639,
315
+ "step": 98
316
+ },
317
+ {
318
+ "epoch": 28.57,
319
+ "learning_rate": 1.4814814814814812e-06,
320
+ "loss": 6.467,
321
+ "step": 100
322
+ },
323
+ {
324
+ "epoch": 28.86,
325
+ "eval_accuracy": 0.10869565217391304,
326
+ "eval_loss": 6.4354329109191895,
327
+ "eval_runtime": 0.6551,
328
+ "eval_samples_per_second": 70.213,
329
+ "eval_steps_per_second": 4.579,
330
+ "step": 101
331
+ },
332
+ {
333
+ "epoch": 30.0,
334
+ "eval_accuracy": 0.10869565217391304,
335
+ "eval_loss": 6.409433841705322,
336
+ "eval_runtime": 0.8987,
337
+ "eval_samples_per_second": 51.185,
338
+ "eval_steps_per_second": 3.338,
339
+ "step": 105
340
+ },
341
+ {
342
+ "epoch": 30.86,
343
+ "eval_accuracy": 0.10869565217391304,
344
+ "eval_loss": 6.39463996887207,
345
+ "eval_runtime": 0.6521,
346
+ "eval_samples_per_second": 70.536,
347
+ "eval_steps_per_second": 4.6,
348
+ "step": 108
349
+ },
350
+ {
351
+ "epoch": 31.43,
352
+ "learning_rate": 7.407407407407406e-07,
353
+ "loss": 6.4984,
354
+ "step": 110
355
+ },
356
+ {
357
+ "epoch": 32.0,
358
+ "eval_accuracy": 0.10869565217391304,
359
+ "eval_loss": 6.379604816436768,
360
+ "eval_runtime": 0.6611,
361
+ "eval_samples_per_second": 69.576,
362
+ "eval_steps_per_second": 4.538,
363
+ "step": 112
364
+ },
365
+ {
366
+ "epoch": 32.86,
367
+ "eval_accuracy": 0.10869565217391304,
368
+ "eval_loss": 6.371899127960205,
369
+ "eval_runtime": 0.6278,
370
+ "eval_samples_per_second": 73.271,
371
+ "eval_steps_per_second": 4.779,
372
+ "step": 115
373
+ },
374
+ {
375
+ "epoch": 34.0,
376
+ "eval_accuracy": 0.10869565217391304,
377
+ "eval_loss": 6.366767406463623,
378
+ "eval_runtime": 0.6237,
379
+ "eval_samples_per_second": 73.759,
380
+ "eval_steps_per_second": 4.81,
381
+ "step": 119
382
+ },
383
+ {
384
+ "epoch": 34.29,
385
+ "learning_rate": 0.0,
386
+ "loss": 6.4603,
387
+ "step": 120
388
+ },
389
+ {
390
+ "epoch": 34.29,
391
+ "eval_accuracy": 0.10869565217391304,
392
+ "eval_loss": 6.366403102874756,
393
+ "eval_runtime": 0.7282,
394
+ "eval_samples_per_second": 63.173,
395
+ "eval_steps_per_second": 4.12,
396
+ "step": 120
397
+ },
398
+ {
399
+ "epoch": 34.29,
400
+ "step": 120,
401
+ "total_flos": 2.3770905934823424e+17,
402
+ "train_loss": 7.123055585225424,
403
+ "train_runtime": 193.127,
404
+ "train_samples_per_second": 44.116,
405
+ "train_steps_per_second": 0.621
406
+ }
407
+ ],
408
+ "logging_steps": 10,
409
+ "max_steps": 120,
410
+ "num_input_tokens_seen": 0,
411
+ "num_train_epochs": 40,
412
+ "save_steps": 500,
413
+ "total_flos": 2.3770905934823424e+17,
414
+ "train_batch_size": 16,
415
+ "trial_name": null,
416
+ "trial_params": null
417
+ }