dima806 commited on
Commit
fbbbe4f
1 Parent(s): c038a7c

Upload folder using huggingface_hub

Browse files
checkpoint-4290/config.json ADDED
@@ -0,0 +1,68 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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": "BERET",
13
+ "1": "FEDORA",
14
+ "2": "SOMBERO",
15
+ "3": "HARD HAT",
16
+ "4": "FEZ",
17
+ "5": "ZUCCHETTO",
18
+ "6": "TOP HAT",
19
+ "7": "DEERSTALKER",
20
+ "8": "ASCOT CAP",
21
+ "9": "PORK PIE",
22
+ "10": "MILITARY HELMET",
23
+ "11": "BICORNE",
24
+ "12": "FOOTBALL HELMET",
25
+ "13": "MOTARBOARD",
26
+ "14": "BOATER",
27
+ "15": "PITH HELMET",
28
+ "16": "SOUTHWESTER",
29
+ "17": "BOWLER",
30
+ "18": "GARRISON CAP",
31
+ "19": "BASEBALL CAP"
32
+ },
33
+ "image_size": 224,
34
+ "initializer_range": 0.02,
35
+ "intermediate_size": 3072,
36
+ "label2id": {
37
+ "ASCOT CAP": 8,
38
+ "BASEBALL CAP": 19,
39
+ "BERET": 0,
40
+ "BICORNE": 11,
41
+ "BOATER": 14,
42
+ "BOWLER": 17,
43
+ "DEERSTALKER": 7,
44
+ "FEDORA": 1,
45
+ "FEZ": 4,
46
+ "FOOTBALL HELMET": 12,
47
+ "GARRISON CAP": 18,
48
+ "HARD HAT": 3,
49
+ "MILITARY HELMET": 10,
50
+ "MOTARBOARD": 13,
51
+ "PITH HELMET": 15,
52
+ "PORK PIE": 9,
53
+ "SOMBERO": 2,
54
+ "SOUTHWESTER": 16,
55
+ "TOP HAT": 6,
56
+ "ZUCCHETTO": 5
57
+ },
58
+ "layer_norm_eps": 1e-12,
59
+ "model_type": "vit",
60
+ "num_attention_heads": 12,
61
+ "num_channels": 3,
62
+ "num_hidden_layers": 12,
63
+ "patch_size": 16,
64
+ "problem_type": "single_label_classification",
65
+ "qkv_bias": true,
66
+ "torch_dtype": "float32",
67
+ "transformers_version": "4.34.0"
68
+ }
checkpoint-4290/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e38291240d3b759aa381c5c5a78ef761998ca5030a0b6152ac30bd78226a0213
3
+ size 686679173
checkpoint-4290/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-4290/pytorch_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c3a0f88e7bf7027cd15866b067f7b1747e7191c3bc12e1b5ec41503aa2fdbf6f
3
+ size 343324077
checkpoint-4290/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0099c1f1d1a737d7f23d5523c3755f2e9160fd9baf25632e497472a3b25a3396
3
+ size 14575
checkpoint-4290/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ff76794a033f83a5aaa36a36aa98832b3d0441aa151b4696fc7f3907908be790
3
+ size 627
checkpoint-4290/trainer_state.json ADDED
@@ -0,0 +1,337 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.21256890892982483,
3
+ "best_model_checkpoint": "headgear_image_detection/checkpoint-4290",
4
+ "epoch": 30.0,
5
+ "eval_steps": 500,
6
+ "global_step": 4290,
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": 0.7290209790209791,
14
+ "eval_loss": 2.6553964614868164,
15
+ "eval_runtime": 10.0273,
16
+ "eval_samples_per_second": 114.088,
17
+ "eval_steps_per_second": 14.261,
18
+ "step": 143
19
+ },
20
+ {
21
+ "epoch": 2.0,
22
+ "eval_accuracy": 0.902972027972028,
23
+ "eval_loss": 2.1697092056274414,
24
+ "eval_runtime": 9.9469,
25
+ "eval_samples_per_second": 115.01,
26
+ "eval_steps_per_second": 14.376,
27
+ "step": 286
28
+ },
29
+ {
30
+ "epoch": 3.0,
31
+ "eval_accuracy": 0.9187062937062938,
32
+ "eval_loss": 1.7559250593185425,
33
+ "eval_runtime": 9.8134,
34
+ "eval_samples_per_second": 116.575,
35
+ "eval_steps_per_second": 14.572,
36
+ "step": 429
37
+ },
38
+ {
39
+ "epoch": 3.5,
40
+ "learning_rate": 8.938679245283019e-06,
41
+ "loss": 2.2545,
42
+ "step": 500
43
+ },
44
+ {
45
+ "epoch": 4.0,
46
+ "eval_accuracy": 0.9344405594405595,
47
+ "eval_loss": 1.4289305210113525,
48
+ "eval_runtime": 9.811,
49
+ "eval_samples_per_second": 116.603,
50
+ "eval_steps_per_second": 14.575,
51
+ "step": 572
52
+ },
53
+ {
54
+ "epoch": 5.0,
55
+ "eval_accuracy": 0.9519230769230769,
56
+ "eval_loss": 1.18740975856781,
57
+ "eval_runtime": 9.8832,
58
+ "eval_samples_per_second": 115.752,
59
+ "eval_steps_per_second": 14.469,
60
+ "step": 715
61
+ },
62
+ {
63
+ "epoch": 6.0,
64
+ "eval_accuracy": 0.958041958041958,
65
+ "eval_loss": 0.9960336685180664,
66
+ "eval_runtime": 9.778,
67
+ "eval_samples_per_second": 116.997,
68
+ "eval_steps_per_second": 14.625,
69
+ "step": 858
70
+ },
71
+ {
72
+ "epoch": 6.99,
73
+ "learning_rate": 7.75943396226415e-06,
74
+ "loss": 1.0623,
75
+ "step": 1000
76
+ },
77
+ {
78
+ "epoch": 7.0,
79
+ "eval_accuracy": 0.958916083916084,
80
+ "eval_loss": 0.8572256565093994,
81
+ "eval_runtime": 9.8908,
82
+ "eval_samples_per_second": 115.664,
83
+ "eval_steps_per_second": 14.458,
84
+ "step": 1001
85
+ },
86
+ {
87
+ "epoch": 8.0,
88
+ "eval_accuracy": 0.9641608391608392,
89
+ "eval_loss": 0.7423418760299683,
90
+ "eval_runtime": 9.8887,
91
+ "eval_samples_per_second": 115.687,
92
+ "eval_steps_per_second": 14.461,
93
+ "step": 1144
94
+ },
95
+ {
96
+ "epoch": 9.0,
97
+ "eval_accuracy": 0.965034965034965,
98
+ "eval_loss": 0.6517500281333923,
99
+ "eval_runtime": 9.8492,
100
+ "eval_samples_per_second": 116.152,
101
+ "eval_steps_per_second": 14.519,
102
+ "step": 1287
103
+ },
104
+ {
105
+ "epoch": 10.0,
106
+ "eval_accuracy": 0.9729020979020979,
107
+ "eval_loss": 0.5715993046760559,
108
+ "eval_runtime": 9.9888,
109
+ "eval_samples_per_second": 114.528,
110
+ "eval_steps_per_second": 14.316,
111
+ "step": 1430
112
+ },
113
+ {
114
+ "epoch": 10.49,
115
+ "learning_rate": 6.580188679245284e-06,
116
+ "loss": 0.5734,
117
+ "step": 1500
118
+ },
119
+ {
120
+ "epoch": 11.0,
121
+ "eval_accuracy": 0.9711538461538461,
122
+ "eval_loss": 0.5096693634986877,
123
+ "eval_runtime": 9.806,
124
+ "eval_samples_per_second": 116.663,
125
+ "eval_steps_per_second": 14.583,
126
+ "step": 1573
127
+ },
128
+ {
129
+ "epoch": 12.0,
130
+ "eval_accuracy": 0.9772727272727273,
131
+ "eval_loss": 0.4560704827308655,
132
+ "eval_runtime": 9.9786,
133
+ "eval_samples_per_second": 114.645,
134
+ "eval_steps_per_second": 14.331,
135
+ "step": 1716
136
+ },
137
+ {
138
+ "epoch": 13.0,
139
+ "eval_accuracy": 0.9790209790209791,
140
+ "eval_loss": 0.4156966507434845,
141
+ "eval_runtime": 9.8265,
142
+ "eval_samples_per_second": 116.42,
143
+ "eval_steps_per_second": 14.552,
144
+ "step": 1859
145
+ },
146
+ {
147
+ "epoch": 13.99,
148
+ "learning_rate": 5.400943396226416e-06,
149
+ "loss": 0.3549,
150
+ "step": 2000
151
+ },
152
+ {
153
+ "epoch": 14.0,
154
+ "eval_accuracy": 0.9790209790209791,
155
+ "eval_loss": 0.381658136844635,
156
+ "eval_runtime": 9.8934,
157
+ "eval_samples_per_second": 115.633,
158
+ "eval_steps_per_second": 14.454,
159
+ "step": 2002
160
+ },
161
+ {
162
+ "epoch": 15.0,
163
+ "eval_accuracy": 0.9755244755244755,
164
+ "eval_loss": 0.35159438848495483,
165
+ "eval_runtime": 9.8102,
166
+ "eval_samples_per_second": 116.614,
167
+ "eval_steps_per_second": 14.577,
168
+ "step": 2145
169
+ },
170
+ {
171
+ "epoch": 16.0,
172
+ "eval_accuracy": 0.9807692307692307,
173
+ "eval_loss": 0.3298424482345581,
174
+ "eval_runtime": 9.7878,
175
+ "eval_samples_per_second": 116.88,
176
+ "eval_steps_per_second": 14.61,
177
+ "step": 2288
178
+ },
179
+ {
180
+ "epoch": 17.0,
181
+ "eval_accuracy": 0.9798951048951049,
182
+ "eval_loss": 0.30800941586494446,
183
+ "eval_runtime": 9.9164,
184
+ "eval_samples_per_second": 115.364,
185
+ "eval_steps_per_second": 14.42,
186
+ "step": 2431
187
+ },
188
+ {
189
+ "epoch": 17.48,
190
+ "learning_rate": 4.221698113207548e-06,
191
+ "loss": 0.2461,
192
+ "step": 2500
193
+ },
194
+ {
195
+ "epoch": 18.0,
196
+ "eval_accuracy": 0.9790209790209791,
197
+ "eval_loss": 0.288138210773468,
198
+ "eval_runtime": 9.933,
199
+ "eval_samples_per_second": 115.172,
200
+ "eval_steps_per_second": 14.396,
201
+ "step": 2574
202
+ },
203
+ {
204
+ "epoch": 19.0,
205
+ "eval_accuracy": 0.9781468531468531,
206
+ "eval_loss": 0.2730049192905426,
207
+ "eval_runtime": 10.0234,
208
+ "eval_samples_per_second": 114.133,
209
+ "eval_steps_per_second": 14.267,
210
+ "step": 2717
211
+ },
212
+ {
213
+ "epoch": 20.0,
214
+ "eval_accuracy": 0.9816433566433567,
215
+ "eval_loss": 0.26286110281944275,
216
+ "eval_runtime": 9.8422,
217
+ "eval_samples_per_second": 116.234,
218
+ "eval_steps_per_second": 14.529,
219
+ "step": 2860
220
+ },
221
+ {
222
+ "epoch": 20.98,
223
+ "learning_rate": 3.04245283018868e-06,
224
+ "loss": 0.186,
225
+ "step": 3000
226
+ },
227
+ {
228
+ "epoch": 21.0,
229
+ "eval_accuracy": 0.9746503496503497,
230
+ "eval_loss": 0.2534734904766083,
231
+ "eval_runtime": 9.9699,
232
+ "eval_samples_per_second": 114.745,
233
+ "eval_steps_per_second": 14.343,
234
+ "step": 3003
235
+ },
236
+ {
237
+ "epoch": 22.0,
238
+ "eval_accuracy": 0.9772727272727273,
239
+ "eval_loss": 0.24190376698970795,
240
+ "eval_runtime": 9.9761,
241
+ "eval_samples_per_second": 114.674,
242
+ "eval_steps_per_second": 14.334,
243
+ "step": 3146
244
+ },
245
+ {
246
+ "epoch": 23.0,
247
+ "eval_accuracy": 0.9772727272727273,
248
+ "eval_loss": 0.23993928730487823,
249
+ "eval_runtime": 10.0017,
250
+ "eval_samples_per_second": 114.38,
251
+ "eval_steps_per_second": 14.298,
252
+ "step": 3289
253
+ },
254
+ {
255
+ "epoch": 24.0,
256
+ "eval_accuracy": 0.9816433566433567,
257
+ "eval_loss": 0.2285631150007248,
258
+ "eval_runtime": 9.8472,
259
+ "eval_samples_per_second": 116.175,
260
+ "eval_steps_per_second": 14.522,
261
+ "step": 3432
262
+ },
263
+ {
264
+ "epoch": 24.48,
265
+ "learning_rate": 1.8632075471698114e-06,
266
+ "loss": 0.154,
267
+ "step": 3500
268
+ },
269
+ {
270
+ "epoch": 25.0,
271
+ "eval_accuracy": 0.9807692307692307,
272
+ "eval_loss": 0.22374440729618073,
273
+ "eval_runtime": 9.8249,
274
+ "eval_samples_per_second": 116.439,
275
+ "eval_steps_per_second": 14.555,
276
+ "step": 3575
277
+ },
278
+ {
279
+ "epoch": 26.0,
280
+ "eval_accuracy": 0.9790209790209791,
281
+ "eval_loss": 0.22004003822803497,
282
+ "eval_runtime": 9.8649,
283
+ "eval_samples_per_second": 115.967,
284
+ "eval_steps_per_second": 14.496,
285
+ "step": 3718
286
+ },
287
+ {
288
+ "epoch": 27.0,
289
+ "eval_accuracy": 0.9781468531468531,
290
+ "eval_loss": 0.21849653124809265,
291
+ "eval_runtime": 9.8212,
292
+ "eval_samples_per_second": 116.482,
293
+ "eval_steps_per_second": 14.56,
294
+ "step": 3861
295
+ },
296
+ {
297
+ "epoch": 27.97,
298
+ "learning_rate": 6.839622641509434e-07,
299
+ "loss": 0.1372,
300
+ "step": 4000
301
+ },
302
+ {
303
+ "epoch": 28.0,
304
+ "eval_accuracy": 0.9781468531468531,
305
+ "eval_loss": 0.21514995396137238,
306
+ "eval_runtime": 10.0429,
307
+ "eval_samples_per_second": 113.912,
308
+ "eval_steps_per_second": 14.239,
309
+ "step": 4004
310
+ },
311
+ {
312
+ "epoch": 29.0,
313
+ "eval_accuracy": 0.9790209790209791,
314
+ "eval_loss": 0.21269026398658752,
315
+ "eval_runtime": 9.7945,
316
+ "eval_samples_per_second": 116.8,
317
+ "eval_steps_per_second": 14.6,
318
+ "step": 4147
319
+ },
320
+ {
321
+ "epoch": 30.0,
322
+ "eval_accuracy": 0.9798951048951049,
323
+ "eval_loss": 0.21256890892982483,
324
+ "eval_runtime": 9.7553,
325
+ "eval_samples_per_second": 117.269,
326
+ "eval_steps_per_second": 14.659,
327
+ "step": 4290
328
+ }
329
+ ],
330
+ "logging_steps": 500,
331
+ "max_steps": 4290,
332
+ "num_train_epochs": 30,
333
+ "save_steps": 500,
334
+ "total_flos": 1.063981656100307e+19,
335
+ "trial_name": null,
336
+ "trial_params": null
337
+ }
checkpoint-4290/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:432f4adc9e2e11aa00b13ad8f6af5abb8e2fc897ec0d203b60fc0b7d2ca6a8d3
3
+ size 4027
config.json ADDED
@@ -0,0 +1,68 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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": "BERET",
13
+ "1": "FEDORA",
14
+ "2": "SOMBERO",
15
+ "3": "HARD HAT",
16
+ "4": "FEZ",
17
+ "5": "ZUCCHETTO",
18
+ "6": "TOP HAT",
19
+ "7": "DEERSTALKER",
20
+ "8": "ASCOT CAP",
21
+ "9": "PORK PIE",
22
+ "10": "MILITARY HELMET",
23
+ "11": "BICORNE",
24
+ "12": "FOOTBALL HELMET",
25
+ "13": "MOTARBOARD",
26
+ "14": "BOATER",
27
+ "15": "PITH HELMET",
28
+ "16": "SOUTHWESTER",
29
+ "17": "BOWLER",
30
+ "18": "GARRISON CAP",
31
+ "19": "BASEBALL CAP"
32
+ },
33
+ "image_size": 224,
34
+ "initializer_range": 0.02,
35
+ "intermediate_size": 3072,
36
+ "label2id": {
37
+ "ASCOT CAP": 8,
38
+ "BASEBALL CAP": 19,
39
+ "BERET": 0,
40
+ "BICORNE": 11,
41
+ "BOATER": 14,
42
+ "BOWLER": 17,
43
+ "DEERSTALKER": 7,
44
+ "FEDORA": 1,
45
+ "FEZ": 4,
46
+ "FOOTBALL HELMET": 12,
47
+ "GARRISON CAP": 18,
48
+ "HARD HAT": 3,
49
+ "MILITARY HELMET": 10,
50
+ "MOTARBOARD": 13,
51
+ "PITH HELMET": 15,
52
+ "PORK PIE": 9,
53
+ "SOMBERO": 2,
54
+ "SOUTHWESTER": 16,
55
+ "TOP HAT": 6,
56
+ "ZUCCHETTO": 5
57
+ },
58
+ "layer_norm_eps": 1e-12,
59
+ "model_type": "vit",
60
+ "num_attention_heads": 12,
61
+ "num_channels": 3,
62
+ "num_hidden_layers": 12,
63
+ "patch_size": 16,
64
+ "problem_type": "single_label_classification",
65
+ "qkv_bias": true,
66
+ "torch_dtype": "float32",
67
+ "transformers_version": "4.34.0"
68
+ }
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:c3a0f88e7bf7027cd15866b067f7b1747e7191c3bc12e1b5ec41503aa2fdbf6f
3
+ size 343324077
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:432f4adc9e2e11aa00b13ad8f6af5abb8e2fc897ec0d203b60fc0b7d2ca6a8d3
3
+ size 4027