dima806 commited on
Commit
1ed2c30
1 Parent(s): b6dbadf

Upload folder using huggingface_hub

Browse files
checkpoint-265/config.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "google/vit-base-patch16-224-in21k",
3
+ "architectures": [
4
+ "ViTForImageClassification"
5
+ ],
6
+ "attention_probs_dropout_prob": 0.0,
7
+ "encoder_stride": 16,
8
+ "hidden_act": "gelu",
9
+ "hidden_dropout_prob": 0.0,
10
+ "hidden_size": 768,
11
+ "id2label": {
12
+ "0": "Beard",
13
+ "1": "No Beard"
14
+ },
15
+ "image_size": 224,
16
+ "initializer_range": 0.02,
17
+ "intermediate_size": 3072,
18
+ "label2id": {
19
+ "Beard": 0,
20
+ "No Beard": 1
21
+ },
22
+ "layer_norm_eps": 1e-12,
23
+ "model_type": "vit",
24
+ "num_attention_heads": 12,
25
+ "num_channels": 3,
26
+ "num_hidden_layers": 12,
27
+ "patch_size": 16,
28
+ "problem_type": "single_label_classification",
29
+ "qkv_bias": true,
30
+ "torch_dtype": "float32",
31
+ "transformers_version": "4.34.0"
32
+ }
checkpoint-265/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0bcfdae542fff135cc2e4c901c20aaff6560d6759b0b7be1354c7dd78277a57e
3
+ size 686568453
checkpoint-265/preprocessor_config.json ADDED
@@ -0,0 +1,22 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "do_normalize": true,
3
+ "do_rescale": true,
4
+ "do_resize": true,
5
+ "image_mean": [
6
+ 0.5,
7
+ 0.5,
8
+ 0.5
9
+ ],
10
+ "image_processor_type": "ViTImageProcessor",
11
+ "image_std": [
12
+ 0.5,
13
+ 0.5,
14
+ 0.5
15
+ ],
16
+ "resample": 2,
17
+ "rescale_factor": 0.00392156862745098,
18
+ "size": {
19
+ "height": 224,
20
+ "width": 224
21
+ }
22
+ }
checkpoint-265/pytorch_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:56f9c781a86333bc4dd911e6e19f160382242fe999703f31ab3a8bbf03eacd7b
3
+ size 343268717
checkpoint-265/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9fe128e9ac5b515c6aa7cb078cba53c5b9646a3adecb313e506ba5516fac105c
3
+ size 14575
checkpoint-265/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:bac05831a1d6f7a3d6ee4a77411b5157ce8fe8913a1908d738e10538eccc5130
3
+ size 627
checkpoint-265/trainer_state.json ADDED
@@ -0,0 +1,496 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.056523215025663376,
3
+ "best_model_checkpoint": "beard_face_image_detection/checkpoint-265",
4
+ "epoch": 53.0,
5
+ "eval_steps": 500,
6
+ "global_step": 265,
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": 0.4411764705882353,
14
+ "eval_loss": 0.6916816830635071,
15
+ "eval_runtime": 0.4599,
16
+ "eval_samples_per_second": 73.934,
17
+ "eval_steps_per_second": 10.873,
18
+ "step": 5
19
+ },
20
+ {
21
+ "epoch": 2.0,
22
+ "eval_accuracy": 0.4411764705882353,
23
+ "eval_loss": 0.68825763463974,
24
+ "eval_runtime": 0.4542,
25
+ "eval_samples_per_second": 74.858,
26
+ "eval_steps_per_second": 11.009,
27
+ "step": 10
28
+ },
29
+ {
30
+ "epoch": 3.0,
31
+ "eval_accuracy": 0.47058823529411764,
32
+ "eval_loss": 0.6825163960456848,
33
+ "eval_runtime": 0.4925,
34
+ "eval_samples_per_second": 69.035,
35
+ "eval_steps_per_second": 10.152,
36
+ "step": 15
37
+ },
38
+ {
39
+ "epoch": 4.0,
40
+ "eval_accuracy": 0.5588235294117647,
41
+ "eval_loss": 0.6746212244033813,
42
+ "eval_runtime": 0.6436,
43
+ "eval_samples_per_second": 52.824,
44
+ "eval_steps_per_second": 7.768,
45
+ "step": 20
46
+ },
47
+ {
48
+ "epoch": 5.0,
49
+ "eval_accuracy": 0.6470588235294118,
50
+ "eval_loss": 0.6643369197845459,
51
+ "eval_runtime": 0.4756,
52
+ "eval_samples_per_second": 71.488,
53
+ "eval_steps_per_second": 10.513,
54
+ "step": 25
55
+ },
56
+ {
57
+ "epoch": 6.0,
58
+ "eval_accuracy": 0.7352941176470589,
59
+ "eval_loss": 0.6510521173477173,
60
+ "eval_runtime": 0.5994,
61
+ "eval_samples_per_second": 56.72,
62
+ "eval_steps_per_second": 8.341,
63
+ "step": 30
64
+ },
65
+ {
66
+ "epoch": 7.0,
67
+ "eval_accuracy": 0.7941176470588235,
68
+ "eval_loss": 0.6334857940673828,
69
+ "eval_runtime": 0.4918,
70
+ "eval_samples_per_second": 69.136,
71
+ "eval_steps_per_second": 10.167,
72
+ "step": 35
73
+ },
74
+ {
75
+ "epoch": 8.0,
76
+ "eval_accuracy": 0.8529411764705882,
77
+ "eval_loss": 0.609245777130127,
78
+ "eval_runtime": 0.4567,
79
+ "eval_samples_per_second": 74.439,
80
+ "eval_steps_per_second": 10.947,
81
+ "step": 40
82
+ },
83
+ {
84
+ "epoch": 9.0,
85
+ "eval_accuracy": 0.8823529411764706,
86
+ "eval_loss": 0.5765753984451294,
87
+ "eval_runtime": 0.4856,
88
+ "eval_samples_per_second": 70.02,
89
+ "eval_steps_per_second": 10.297,
90
+ "step": 45
91
+ },
92
+ {
93
+ "epoch": 10.0,
94
+ "eval_accuracy": 0.9117647058823529,
95
+ "eval_loss": 0.5335254669189453,
96
+ "eval_runtime": 0.6876,
97
+ "eval_samples_per_second": 49.448,
98
+ "eval_steps_per_second": 7.272,
99
+ "step": 50
100
+ },
101
+ {
102
+ "epoch": 11.0,
103
+ "eval_accuracy": 0.9705882352941176,
104
+ "eval_loss": 0.4832209348678589,
105
+ "eval_runtime": 0.4771,
106
+ "eval_samples_per_second": 71.264,
107
+ "eval_steps_per_second": 10.48,
108
+ "step": 55
109
+ },
110
+ {
111
+ "epoch": 12.0,
112
+ "eval_accuracy": 1.0,
113
+ "eval_loss": 0.43465912342071533,
114
+ "eval_runtime": 0.5269,
115
+ "eval_samples_per_second": 64.523,
116
+ "eval_steps_per_second": 9.489,
117
+ "step": 60
118
+ },
119
+ {
120
+ "epoch": 13.0,
121
+ "eval_accuracy": 1.0,
122
+ "eval_loss": 0.39017564058303833,
123
+ "eval_runtime": 0.5835,
124
+ "eval_samples_per_second": 58.268,
125
+ "eval_steps_per_second": 8.569,
126
+ "step": 65
127
+ },
128
+ {
129
+ "epoch": 14.0,
130
+ "eval_accuracy": 1.0,
131
+ "eval_loss": 0.34536290168762207,
132
+ "eval_runtime": 0.4888,
133
+ "eval_samples_per_second": 69.555,
134
+ "eval_steps_per_second": 10.229,
135
+ "step": 70
136
+ },
137
+ {
138
+ "epoch": 15.0,
139
+ "eval_accuracy": 1.0,
140
+ "eval_loss": 0.3034467101097107,
141
+ "eval_runtime": 0.5193,
142
+ "eval_samples_per_second": 65.472,
143
+ "eval_steps_per_second": 9.628,
144
+ "step": 75
145
+ },
146
+ {
147
+ "epoch": 16.0,
148
+ "eval_accuracy": 1.0,
149
+ "eval_loss": 0.26336556673049927,
150
+ "eval_runtime": 0.4714,
151
+ "eval_samples_per_second": 72.129,
152
+ "eval_steps_per_second": 10.607,
153
+ "step": 80
154
+ },
155
+ {
156
+ "epoch": 17.0,
157
+ "eval_accuracy": 1.0,
158
+ "eval_loss": 0.22570380568504333,
159
+ "eval_runtime": 0.4846,
160
+ "eval_samples_per_second": 70.165,
161
+ "eval_steps_per_second": 10.318,
162
+ "step": 85
163
+ },
164
+ {
165
+ "epoch": 18.0,
166
+ "eval_accuracy": 1.0,
167
+ "eval_loss": 0.1925262212753296,
168
+ "eval_runtime": 0.5295,
169
+ "eval_samples_per_second": 64.211,
170
+ "eval_steps_per_second": 9.443,
171
+ "step": 90
172
+ },
173
+ {
174
+ "epoch": 19.0,
175
+ "eval_accuracy": 1.0,
176
+ "eval_loss": 0.1699148267507553,
177
+ "eval_runtime": 0.4727,
178
+ "eval_samples_per_second": 71.925,
179
+ "eval_steps_per_second": 10.577,
180
+ "step": 95
181
+ },
182
+ {
183
+ "epoch": 20.0,
184
+ "eval_accuracy": 1.0,
185
+ "eval_loss": 0.15547442436218262,
186
+ "eval_runtime": 0.4583,
187
+ "eval_samples_per_second": 74.18,
188
+ "eval_steps_per_second": 10.909,
189
+ "step": 100
190
+ },
191
+ {
192
+ "epoch": 21.0,
193
+ "eval_accuracy": 0.9705882352941176,
194
+ "eval_loss": 0.14464055001735687,
195
+ "eval_runtime": 0.4694,
196
+ "eval_samples_per_second": 72.439,
197
+ "eval_steps_per_second": 10.653,
198
+ "step": 105
199
+ },
200
+ {
201
+ "epoch": 22.0,
202
+ "eval_accuracy": 0.9705882352941176,
203
+ "eval_loss": 0.13111652433872223,
204
+ "eval_runtime": 0.5855,
205
+ "eval_samples_per_second": 58.074,
206
+ "eval_steps_per_second": 8.54,
207
+ "step": 110
208
+ },
209
+ {
210
+ "epoch": 23.0,
211
+ "eval_accuracy": 0.9705882352941176,
212
+ "eval_loss": 0.11910093575716019,
213
+ "eval_runtime": 0.4788,
214
+ "eval_samples_per_second": 71.01,
215
+ "eval_steps_per_second": 10.443,
216
+ "step": 115
217
+ },
218
+ {
219
+ "epoch": 24.0,
220
+ "eval_accuracy": 1.0,
221
+ "eval_loss": 0.11041917651891708,
222
+ "eval_runtime": 0.4971,
223
+ "eval_samples_per_second": 68.39,
224
+ "eval_steps_per_second": 10.057,
225
+ "step": 120
226
+ },
227
+ {
228
+ "epoch": 25.0,
229
+ "eval_accuracy": 1.0,
230
+ "eval_loss": 0.1019207015633583,
231
+ "eval_runtime": 0.4631,
232
+ "eval_samples_per_second": 73.417,
233
+ "eval_steps_per_second": 10.797,
234
+ "step": 125
235
+ },
236
+ {
237
+ "epoch": 26.0,
238
+ "eval_accuracy": 1.0,
239
+ "eval_loss": 0.09560199826955795,
240
+ "eval_runtime": 0.4683,
241
+ "eval_samples_per_second": 72.603,
242
+ "eval_steps_per_second": 10.677,
243
+ "step": 130
244
+ },
245
+ {
246
+ "epoch": 27.0,
247
+ "eval_accuracy": 1.0,
248
+ "eval_loss": 0.09210322797298431,
249
+ "eval_runtime": 0.562,
250
+ "eval_samples_per_second": 60.496,
251
+ "eval_steps_per_second": 8.897,
252
+ "step": 135
253
+ },
254
+ {
255
+ "epoch": 28.0,
256
+ "eval_accuracy": 1.0,
257
+ "eval_loss": 0.08842095732688904,
258
+ "eval_runtime": 0.4842,
259
+ "eval_samples_per_second": 70.219,
260
+ "eval_steps_per_second": 10.326,
261
+ "step": 140
262
+ },
263
+ {
264
+ "epoch": 29.0,
265
+ "eval_accuracy": 0.9705882352941176,
266
+ "eval_loss": 0.08630983531475067,
267
+ "eval_runtime": 0.469,
268
+ "eval_samples_per_second": 72.501,
269
+ "eval_steps_per_second": 10.662,
270
+ "step": 145
271
+ },
272
+ {
273
+ "epoch": 30.0,
274
+ "eval_accuracy": 0.9705882352941176,
275
+ "eval_loss": 0.0840476006269455,
276
+ "eval_runtime": 0.4749,
277
+ "eval_samples_per_second": 71.599,
278
+ "eval_steps_per_second": 10.529,
279
+ "step": 150
280
+ },
281
+ {
282
+ "epoch": 31.0,
283
+ "eval_accuracy": 0.9705882352941176,
284
+ "eval_loss": 0.08182603120803833,
285
+ "eval_runtime": 0.4648,
286
+ "eval_samples_per_second": 73.158,
287
+ "eval_steps_per_second": 10.758,
288
+ "step": 155
289
+ },
290
+ {
291
+ "epoch": 32.0,
292
+ "eval_accuracy": 0.9705882352941176,
293
+ "eval_loss": 0.07994333654642105,
294
+ "eval_runtime": 0.4541,
295
+ "eval_samples_per_second": 74.879,
296
+ "eval_steps_per_second": 11.012,
297
+ "step": 160
298
+ },
299
+ {
300
+ "epoch": 33.0,
301
+ "eval_accuracy": 0.9705882352941176,
302
+ "eval_loss": 0.07827507704496384,
303
+ "eval_runtime": 0.485,
304
+ "eval_samples_per_second": 70.109,
305
+ "eval_steps_per_second": 10.31,
306
+ "step": 165
307
+ },
308
+ {
309
+ "epoch": 34.0,
310
+ "eval_accuracy": 0.9705882352941176,
311
+ "eval_loss": 0.07570754736661911,
312
+ "eval_runtime": 0.8015,
313
+ "eval_samples_per_second": 42.42,
314
+ "eval_steps_per_second": 6.238,
315
+ "step": 170
316
+ },
317
+ {
318
+ "epoch": 35.0,
319
+ "eval_accuracy": 0.9705882352941176,
320
+ "eval_loss": 0.07455606758594513,
321
+ "eval_runtime": 0.4671,
322
+ "eval_samples_per_second": 72.789,
323
+ "eval_steps_per_second": 10.704,
324
+ "step": 175
325
+ },
326
+ {
327
+ "epoch": 36.0,
328
+ "eval_accuracy": 0.9705882352941176,
329
+ "eval_loss": 0.07590151578187943,
330
+ "eval_runtime": 0.4662,
331
+ "eval_samples_per_second": 72.929,
332
+ "eval_steps_per_second": 10.725,
333
+ "step": 180
334
+ },
335
+ {
336
+ "epoch": 37.0,
337
+ "eval_accuracy": 0.9705882352941176,
338
+ "eval_loss": 0.07617688179016113,
339
+ "eval_runtime": 0.4737,
340
+ "eval_samples_per_second": 71.782,
341
+ "eval_steps_per_second": 10.556,
342
+ "step": 185
343
+ },
344
+ {
345
+ "epoch": 38.0,
346
+ "eval_accuracy": 0.9705882352941176,
347
+ "eval_loss": 0.07673746347427368,
348
+ "eval_runtime": 0.5769,
349
+ "eval_samples_per_second": 58.939,
350
+ "eval_steps_per_second": 8.668,
351
+ "step": 190
352
+ },
353
+ {
354
+ "epoch": 39.0,
355
+ "eval_accuracy": 0.9705882352941176,
356
+ "eval_loss": 0.0792819932103157,
357
+ "eval_runtime": 0.5177,
358
+ "eval_samples_per_second": 65.681,
359
+ "eval_steps_per_second": 9.659,
360
+ "step": 195
361
+ },
362
+ {
363
+ "epoch": 40.0,
364
+ "eval_accuracy": 0.9705882352941176,
365
+ "eval_loss": 0.07982447743415833,
366
+ "eval_runtime": 0.4821,
367
+ "eval_samples_per_second": 70.525,
368
+ "eval_steps_per_second": 10.371,
369
+ "step": 200
370
+ },
371
+ {
372
+ "epoch": 41.0,
373
+ "eval_accuracy": 0.9705882352941176,
374
+ "eval_loss": 0.07663105428218842,
375
+ "eval_runtime": 0.4822,
376
+ "eval_samples_per_second": 70.511,
377
+ "eval_steps_per_second": 10.369,
378
+ "step": 205
379
+ },
380
+ {
381
+ "epoch": 42.0,
382
+ "eval_accuracy": 0.9705882352941176,
383
+ "eval_loss": 0.07386773824691772,
384
+ "eval_runtime": 0.4839,
385
+ "eval_samples_per_second": 70.266,
386
+ "eval_steps_per_second": 10.333,
387
+ "step": 210
388
+ },
389
+ {
390
+ "epoch": 43.0,
391
+ "eval_accuracy": 0.9705882352941176,
392
+ "eval_loss": 0.07240059971809387,
393
+ "eval_runtime": 0.47,
394
+ "eval_samples_per_second": 72.34,
395
+ "eval_steps_per_second": 10.638,
396
+ "step": 215
397
+ },
398
+ {
399
+ "epoch": 44.0,
400
+ "eval_accuracy": 0.9705882352941176,
401
+ "eval_loss": 0.07046821713447571,
402
+ "eval_runtime": 0.4676,
403
+ "eval_samples_per_second": 72.716,
404
+ "eval_steps_per_second": 10.694,
405
+ "step": 220
406
+ },
407
+ {
408
+ "epoch": 45.0,
409
+ "eval_accuracy": 0.9705882352941176,
410
+ "eval_loss": 0.06743461638689041,
411
+ "eval_runtime": 0.4689,
412
+ "eval_samples_per_second": 72.502,
413
+ "eval_steps_per_second": 10.662,
414
+ "step": 225
415
+ },
416
+ {
417
+ "epoch": 46.0,
418
+ "eval_accuracy": 0.9705882352941176,
419
+ "eval_loss": 0.0658244714140892,
420
+ "eval_runtime": 0.5359,
421
+ "eval_samples_per_second": 63.446,
422
+ "eval_steps_per_second": 9.33,
423
+ "step": 230
424
+ },
425
+ {
426
+ "epoch": 47.0,
427
+ "eval_accuracy": 0.9705882352941176,
428
+ "eval_loss": 0.06529461592435837,
429
+ "eval_runtime": 0.4816,
430
+ "eval_samples_per_second": 70.599,
431
+ "eval_steps_per_second": 10.382,
432
+ "step": 235
433
+ },
434
+ {
435
+ "epoch": 48.0,
436
+ "eval_accuracy": 0.9705882352941176,
437
+ "eval_loss": 0.06436724215745926,
438
+ "eval_runtime": 0.492,
439
+ "eval_samples_per_second": 69.107,
440
+ "eval_steps_per_second": 10.163,
441
+ "step": 240
442
+ },
443
+ {
444
+ "epoch": 49.0,
445
+ "eval_accuracy": 0.9705882352941176,
446
+ "eval_loss": 0.06378509104251862,
447
+ "eval_runtime": 0.4949,
448
+ "eval_samples_per_second": 68.704,
449
+ "eval_steps_per_second": 10.104,
450
+ "step": 245
451
+ },
452
+ {
453
+ "epoch": 50.0,
454
+ "eval_accuracy": 0.9705882352941176,
455
+ "eval_loss": 0.06339284032583237,
456
+ "eval_runtime": 0.4771,
457
+ "eval_samples_per_second": 71.267,
458
+ "eval_steps_per_second": 10.48,
459
+ "step": 250
460
+ },
461
+ {
462
+ "epoch": 51.0,
463
+ "eval_accuracy": 0.9705882352941176,
464
+ "eval_loss": 0.060473307967185974,
465
+ "eval_runtime": 0.5199,
466
+ "eval_samples_per_second": 65.395,
467
+ "eval_steps_per_second": 9.617,
468
+ "step": 255
469
+ },
470
+ {
471
+ "epoch": 52.0,
472
+ "eval_accuracy": 0.9705882352941176,
473
+ "eval_loss": 0.05794651061296463,
474
+ "eval_runtime": 0.4926,
475
+ "eval_samples_per_second": 69.022,
476
+ "eval_steps_per_second": 10.15,
477
+ "step": 260
478
+ },
479
+ {
480
+ "epoch": 53.0,
481
+ "eval_accuracy": 0.9705882352941176,
482
+ "eval_loss": 0.056523215025663376,
483
+ "eval_runtime": 0.5983,
484
+ "eval_samples_per_second": 56.827,
485
+ "eval_steps_per_second": 8.357,
486
+ "step": 265
487
+ }
488
+ ],
489
+ "logging_steps": 500,
490
+ "max_steps": 500,
491
+ "num_train_epochs": 100,
492
+ "save_steps": 500,
493
+ "total_flos": 5.503481102428324e+17,
494
+ "trial_name": null,
495
+ "trial_params": null
496
+ }
checkpoint-265/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1a2eab8741001d75e24e814b1e1000302fa69c7d3b0d5a77e0506cb40f29a735
3
+ size 4027
config.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "google/vit-base-patch16-224-in21k",
3
+ "architectures": [
4
+ "ViTForImageClassification"
5
+ ],
6
+ "attention_probs_dropout_prob": 0.0,
7
+ "encoder_stride": 16,
8
+ "hidden_act": "gelu",
9
+ "hidden_dropout_prob": 0.0,
10
+ "hidden_size": 768,
11
+ "id2label": {
12
+ "0": "Beard",
13
+ "1": "No Beard"
14
+ },
15
+ "image_size": 224,
16
+ "initializer_range": 0.02,
17
+ "intermediate_size": 3072,
18
+ "label2id": {
19
+ "Beard": 0,
20
+ "No Beard": 1
21
+ },
22
+ "layer_norm_eps": 1e-12,
23
+ "model_type": "vit",
24
+ "num_attention_heads": 12,
25
+ "num_channels": 3,
26
+ "num_hidden_layers": 12,
27
+ "patch_size": 16,
28
+ "problem_type": "single_label_classification",
29
+ "qkv_bias": true,
30
+ "torch_dtype": "float32",
31
+ "transformers_version": "4.34.0"
32
+ }
preprocessor_config.json ADDED
@@ -0,0 +1,22 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "do_normalize": true,
3
+ "do_rescale": true,
4
+ "do_resize": true,
5
+ "image_mean": [
6
+ 0.5,
7
+ 0.5,
8
+ 0.5
9
+ ],
10
+ "image_processor_type": "ViTImageProcessor",
11
+ "image_std": [
12
+ 0.5,
13
+ 0.5,
14
+ 0.5
15
+ ],
16
+ "resample": 2,
17
+ "rescale_factor": 0.00392156862745098,
18
+ "size": {
19
+ "height": 224,
20
+ "width": 224
21
+ }
22
+ }
pytorch_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:56f9c781a86333bc4dd911e6e19f160382242fe999703f31ab3a8bbf03eacd7b
3
+ size 343268717
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1a2eab8741001d75e24e814b1e1000302fa69c7d3b0d5a77e0506cb40f29a735
3
+ size 4027