dima806 commited on
Commit
b6e9dd8
1 Parent(s): bb9cfbb

Upload folder using huggingface_hub

Browse files
checkpoint-1352/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": "defective",
13
+ "1": "good"
14
+ },
15
+ "image_size": 224,
16
+ "initializer_range": 0.02,
17
+ "intermediate_size": 3072,
18
+ "label2id": {
19
+ "defective": 0,
20
+ "good": 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-1352/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:31022ace72915bcebf9614788f261f6680989a5eb1d2f6c8e3a830329b4cf076
3
+ size 686568453
checkpoint-1352/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-1352/pytorch_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9a4d1a075b7f0a8e3b9bde9d495c9884f387cfaf02b064ecc1e3219b82eb52a2
3
+ size 343268717
checkpoint-1352/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:30329d50c0c2dcf42d4bd020dd5d225c982367122024121607b8618be3e947aa
3
+ size 14575
checkpoint-1352/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c17d67fdfa6529c3ca079e5715adc01653b107f761fcecabe4e038d4f84a0837
3
+ size 627
checkpoint-1352/trainer_state.json ADDED
@@ -0,0 +1,265 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.13283224403858185,
3
+ "best_model_checkpoint": "tyre_quality_image_detection/checkpoint-1352",
4
+ "epoch": 26.0,
5
+ "eval_steps": 500,
6
+ "global_step": 1352,
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": 0.7912621359223301,
14
+ "eval_loss": 0.6084989309310913,
15
+ "eval_runtime": 29.671,
16
+ "eval_samples_per_second": 13.886,
17
+ "eval_steps_per_second": 1.753,
18
+ "step": 52
19
+ },
20
+ {
21
+ "epoch": 2.0,
22
+ "eval_accuracy": 0.808252427184466,
23
+ "eval_loss": 0.4789256751537323,
24
+ "eval_runtime": 29.2396,
25
+ "eval_samples_per_second": 14.09,
26
+ "eval_steps_per_second": 1.778,
27
+ "step": 104
28
+ },
29
+ {
30
+ "epoch": 3.0,
31
+ "eval_accuracy": 0.8567961165048543,
32
+ "eval_loss": 0.36682531237602234,
33
+ "eval_runtime": 29.3735,
34
+ "eval_samples_per_second": 14.026,
35
+ "eval_steps_per_second": 1.77,
36
+ "step": 156
37
+ },
38
+ {
39
+ "epoch": 4.0,
40
+ "eval_accuracy": 0.9150485436893204,
41
+ "eval_loss": 0.25626373291015625,
42
+ "eval_runtime": 29.0883,
43
+ "eval_samples_per_second": 14.164,
44
+ "eval_steps_per_second": 1.788,
45
+ "step": 208
46
+ },
47
+ {
48
+ "epoch": 5.0,
49
+ "eval_accuracy": 0.9223300970873787,
50
+ "eval_loss": 0.2164291888475418,
51
+ "eval_runtime": 29.1348,
52
+ "eval_samples_per_second": 14.141,
53
+ "eval_steps_per_second": 1.785,
54
+ "step": 260
55
+ },
56
+ {
57
+ "epoch": 6.0,
58
+ "eval_accuracy": 0.9320388349514563,
59
+ "eval_loss": 0.2001935839653015,
60
+ "eval_runtime": 28.9531,
61
+ "eval_samples_per_second": 14.23,
62
+ "eval_steps_per_second": 1.796,
63
+ "step": 312
64
+ },
65
+ {
66
+ "epoch": 7.0,
67
+ "eval_accuracy": 0.9538834951456311,
68
+ "eval_loss": 0.15507839620113373,
69
+ "eval_runtime": 29.3839,
70
+ "eval_samples_per_second": 14.021,
71
+ "eval_steps_per_second": 1.77,
72
+ "step": 364
73
+ },
74
+ {
75
+ "epoch": 8.0,
76
+ "eval_accuracy": 0.9466019417475728,
77
+ "eval_loss": 0.1604597568511963,
78
+ "eval_runtime": 29.2018,
79
+ "eval_samples_per_second": 14.109,
80
+ "eval_steps_per_second": 1.781,
81
+ "step": 416
82
+ },
83
+ {
84
+ "epoch": 9.0,
85
+ "eval_accuracy": 0.9393203883495146,
86
+ "eval_loss": 0.18210040032863617,
87
+ "eval_runtime": 29.3887,
88
+ "eval_samples_per_second": 14.019,
89
+ "eval_steps_per_second": 1.769,
90
+ "step": 468
91
+ },
92
+ {
93
+ "epoch": 9.62,
94
+ "learning_rate": 7.019867549668875e-06,
95
+ "loss": 0.2041,
96
+ "step": 500
97
+ },
98
+ {
99
+ "epoch": 10.0,
100
+ "eval_accuracy": 0.9344660194174758,
101
+ "eval_loss": 0.17154471576213837,
102
+ "eval_runtime": 29.3804,
103
+ "eval_samples_per_second": 14.023,
104
+ "eval_steps_per_second": 1.77,
105
+ "step": 520
106
+ },
107
+ {
108
+ "epoch": 11.0,
109
+ "eval_accuracy": 0.9466019417475728,
110
+ "eval_loss": 0.15074685215950012,
111
+ "eval_runtime": 29.4311,
112
+ "eval_samples_per_second": 13.999,
113
+ "eval_steps_per_second": 1.767,
114
+ "step": 572
115
+ },
116
+ {
117
+ "epoch": 12.0,
118
+ "eval_accuracy": 0.9514563106796117,
119
+ "eval_loss": 0.1475519835948944,
120
+ "eval_runtime": 29.0653,
121
+ "eval_samples_per_second": 14.175,
122
+ "eval_steps_per_second": 1.789,
123
+ "step": 624
124
+ },
125
+ {
126
+ "epoch": 13.0,
127
+ "eval_accuracy": 0.9514563106796117,
128
+ "eval_loss": 0.15175369381904602,
129
+ "eval_runtime": 29.2828,
130
+ "eval_samples_per_second": 14.07,
131
+ "eval_steps_per_second": 1.776,
132
+ "step": 676
133
+ },
134
+ {
135
+ "epoch": 14.0,
136
+ "eval_accuracy": 0.9466019417475728,
137
+ "eval_loss": 0.15841074287891388,
138
+ "eval_runtime": 28.6116,
139
+ "eval_samples_per_second": 14.4,
140
+ "eval_steps_per_second": 1.817,
141
+ "step": 728
142
+ },
143
+ {
144
+ "epoch": 15.0,
145
+ "eval_accuracy": 0.9538834951456311,
146
+ "eval_loss": 0.1377686709165573,
147
+ "eval_runtime": 29.0369,
148
+ "eval_samples_per_second": 14.189,
149
+ "eval_steps_per_second": 1.791,
150
+ "step": 780
151
+ },
152
+ {
153
+ "epoch": 16.0,
154
+ "eval_accuracy": 0.9441747572815534,
155
+ "eval_loss": 0.16763602197170258,
156
+ "eval_runtime": 29.1725,
157
+ "eval_samples_per_second": 14.123,
158
+ "eval_steps_per_second": 1.782,
159
+ "step": 832
160
+ },
161
+ {
162
+ "epoch": 17.0,
163
+ "eval_accuracy": 0.9441747572815534,
164
+ "eval_loss": 0.16800981760025024,
165
+ "eval_runtime": 30.0993,
166
+ "eval_samples_per_second": 13.688,
167
+ "eval_steps_per_second": 1.728,
168
+ "step": 884
169
+ },
170
+ {
171
+ "epoch": 18.0,
172
+ "eval_accuracy": 0.9441747572815534,
173
+ "eval_loss": 0.1570456475019455,
174
+ "eval_runtime": 29.43,
175
+ "eval_samples_per_second": 13.999,
176
+ "eval_steps_per_second": 1.767,
177
+ "step": 936
178
+ },
179
+ {
180
+ "epoch": 19.0,
181
+ "eval_accuracy": 0.9441747572815534,
182
+ "eval_loss": 0.16993850469589233,
183
+ "eval_runtime": 29.5987,
184
+ "eval_samples_per_second": 13.92,
185
+ "eval_steps_per_second": 1.757,
186
+ "step": 988
187
+ },
188
+ {
189
+ "epoch": 19.23,
190
+ "learning_rate": 3.708609271523179e-06,
191
+ "loss": 0.0299,
192
+ "step": 1000
193
+ },
194
+ {
195
+ "epoch": 20.0,
196
+ "eval_accuracy": 0.9563106796116505,
197
+ "eval_loss": 0.14425063133239746,
198
+ "eval_runtime": 29.5286,
199
+ "eval_samples_per_second": 13.953,
200
+ "eval_steps_per_second": 1.761,
201
+ "step": 1040
202
+ },
203
+ {
204
+ "epoch": 21.0,
205
+ "eval_accuracy": 0.9563106796116505,
206
+ "eval_loss": 0.14286695420742035,
207
+ "eval_runtime": 29.3486,
208
+ "eval_samples_per_second": 14.038,
209
+ "eval_steps_per_second": 1.772,
210
+ "step": 1092
211
+ },
212
+ {
213
+ "epoch": 22.0,
214
+ "eval_accuracy": 0.9466019417475728,
215
+ "eval_loss": 0.17019884288311005,
216
+ "eval_runtime": 29.7057,
217
+ "eval_samples_per_second": 13.869,
218
+ "eval_steps_per_second": 1.751,
219
+ "step": 1144
220
+ },
221
+ {
222
+ "epoch": 23.0,
223
+ "eval_accuracy": 0.9538834951456311,
224
+ "eval_loss": 0.15570813417434692,
225
+ "eval_runtime": 29.3488,
226
+ "eval_samples_per_second": 14.038,
227
+ "eval_steps_per_second": 1.772,
228
+ "step": 1196
229
+ },
230
+ {
231
+ "epoch": 24.0,
232
+ "eval_accuracy": 0.9587378640776699,
233
+ "eval_loss": 0.13893939554691315,
234
+ "eval_runtime": 29.3293,
235
+ "eval_samples_per_second": 14.047,
236
+ "eval_steps_per_second": 1.773,
237
+ "step": 1248
238
+ },
239
+ {
240
+ "epoch": 25.0,
241
+ "eval_accuracy": 0.9587378640776699,
242
+ "eval_loss": 0.13930322229862213,
243
+ "eval_runtime": 29.4435,
244
+ "eval_samples_per_second": 13.993,
245
+ "eval_steps_per_second": 1.766,
246
+ "step": 1300
247
+ },
248
+ {
249
+ "epoch": 26.0,
250
+ "eval_accuracy": 0.9611650485436893,
251
+ "eval_loss": 0.13283224403858185,
252
+ "eval_runtime": 29.2525,
253
+ "eval_samples_per_second": 14.084,
254
+ "eval_steps_per_second": 1.778,
255
+ "step": 1352
256
+ }
257
+ ],
258
+ "logging_steps": 500,
259
+ "max_steps": 1560,
260
+ "num_train_epochs": 30,
261
+ "save_steps": 500,
262
+ "total_flos": 3.3123176040861204e+18,
263
+ "trial_name": null,
264
+ "trial_params": null
265
+ }
checkpoint-1352/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3c3520716753e3a508a25d098ff9ca1e14e705106e618f5fd17dd8bd0f027779
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": "defective",
13
+ "1": "good"
14
+ },
15
+ "image_size": 224,
16
+ "initializer_range": 0.02,
17
+ "intermediate_size": 3072,
18
+ "label2id": {
19
+ "defective": 0,
20
+ "good": 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 sha256:9a4d1a075b7f0a8e3b9bde9d495c9884f387cfaf02b064ecc1e3219b82eb52a2
3
+ size 343268717
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3c3520716753e3a508a25d098ff9ca1e14e705106e618f5fd17dd8bd0f027779
3
+ size 4027