mmomm25 commited on
Commit
62032c7
1 Parent(s): 5716831

Training in progress, epoch 0

Browse files
config.json ADDED
@@ -0,0 +1,65 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "microsoft/swin-tiny-patch4-window7-224",
3
+ "architectures": [
4
+ "SwinForImageClassification"
5
+ ],
6
+ "attention_probs_dropout_prob": 0.0,
7
+ "depths": [
8
+ 2,
9
+ 2,
10
+ 6,
11
+ 2
12
+ ],
13
+ "drop_path_rate": 0.1,
14
+ "embed_dim": 96,
15
+ "encoder_stride": 32,
16
+ "hidden_act": "gelu",
17
+ "hidden_dropout_prob": 0.0,
18
+ "hidden_size": 768,
19
+ "id2label": {
20
+ "0": "noncrack",
21
+ "1": "sealedcrack",
22
+ "2": "sealedpatch",
23
+ "3": "thincrack"
24
+ },
25
+ "image_size": 224,
26
+ "initializer_range": 0.02,
27
+ "label2id": {
28
+ "noncrack": 0,
29
+ "sealedcrack": 1,
30
+ "sealedpatch": 2,
31
+ "thincrack": 3
32
+ },
33
+ "layer_norm_eps": 1e-05,
34
+ "mlp_ratio": 4.0,
35
+ "model_type": "swin",
36
+ "num_channels": 3,
37
+ "num_heads": [
38
+ 3,
39
+ 6,
40
+ 12,
41
+ 24
42
+ ],
43
+ "num_layers": 4,
44
+ "out_features": [
45
+ "stage4"
46
+ ],
47
+ "out_indices": [
48
+ 4
49
+ ],
50
+ "patch_size": 4,
51
+ "path_norm": true,
52
+ "problem_type": "single_label_classification",
53
+ "qkv_bias": true,
54
+ "stage_names": [
55
+ "stem",
56
+ "stage1",
57
+ "stage2",
58
+ "stage3",
59
+ "stage4"
60
+ ],
61
+ "torch_dtype": "float32",
62
+ "transformers_version": "4.37.2",
63
+ "use_absolute_embeddings": false,
64
+ "window_size": 7
65
+ }
model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3b58cf0056f7df5b5217ea96f826a585b2a599920ca01ffb44ef4cbcc49662a5
3
+ size 110348984
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
+ 0.485,
7
+ 0.456,
8
+ 0.406
9
+ ],
10
+ "image_processor_type": "ViTImageProcessor",
11
+ "image_std": [
12
+ 0.229,
13
+ 0.224,
14
+ 0.225
15
+ ],
16
+ "resample": 3,
17
+ "rescale_factor": 0.00392156862745098,
18
+ "size": {
19
+ "height": 224,
20
+ "width": 224
21
+ }
22
+ }
tmp-checkpoint-557/config.json ADDED
@@ -0,0 +1,65 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "microsoft/swin-tiny-patch4-window7-224",
3
+ "architectures": [
4
+ "SwinForImageClassification"
5
+ ],
6
+ "attention_probs_dropout_prob": 0.0,
7
+ "depths": [
8
+ 2,
9
+ 2,
10
+ 6,
11
+ 2
12
+ ],
13
+ "drop_path_rate": 0.1,
14
+ "embed_dim": 96,
15
+ "encoder_stride": 32,
16
+ "hidden_act": "gelu",
17
+ "hidden_dropout_prob": 0.0,
18
+ "hidden_size": 768,
19
+ "id2label": {
20
+ "0": "noncrack",
21
+ "1": "sealedcrack",
22
+ "2": "sealedpatch",
23
+ "3": "thincrack"
24
+ },
25
+ "image_size": 224,
26
+ "initializer_range": 0.02,
27
+ "label2id": {
28
+ "noncrack": 0,
29
+ "sealedcrack": 1,
30
+ "sealedpatch": 2,
31
+ "thincrack": 3
32
+ },
33
+ "layer_norm_eps": 1e-05,
34
+ "mlp_ratio": 4.0,
35
+ "model_type": "swin",
36
+ "num_channels": 3,
37
+ "num_heads": [
38
+ 3,
39
+ 6,
40
+ 12,
41
+ 24
42
+ ],
43
+ "num_layers": 4,
44
+ "out_features": [
45
+ "stage4"
46
+ ],
47
+ "out_indices": [
48
+ 4
49
+ ],
50
+ "patch_size": 4,
51
+ "path_norm": true,
52
+ "problem_type": "single_label_classification",
53
+ "qkv_bias": true,
54
+ "stage_names": [
55
+ "stem",
56
+ "stage1",
57
+ "stage2",
58
+ "stage3",
59
+ "stage4"
60
+ ],
61
+ "torch_dtype": "float32",
62
+ "transformers_version": "4.37.2",
63
+ "use_absolute_embeddings": false,
64
+ "window_size": 7
65
+ }
tmp-checkpoint-557/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3b58cf0056f7df5b5217ea96f826a585b2a599920ca01ffb44ef4cbcc49662a5
3
+ size 110348984
tmp-checkpoint-557/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:355b05855a304b00d2832b6090e991677c67f1bf62319bac82d83ddd68b3a868
3
+ size 220362874
tmp-checkpoint-557/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
+ 0.485,
7
+ 0.456,
8
+ 0.406
9
+ ],
10
+ "image_processor_type": "ViTImageProcessor",
11
+ "image_std": [
12
+ 0.229,
13
+ 0.224,
14
+ 0.225
15
+ ],
16
+ "resample": 3,
17
+ "rescale_factor": 0.00392156862745098,
18
+ "size": {
19
+ "height": 224,
20
+ "width": 224
21
+ }
22
+ }
tmp-checkpoint-557/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8d615268b99d6b2b1c404e92148480a3473a846eb543ef952738586f2ee5a5cb
3
+ size 14244
tmp-checkpoint-557/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a7b878d0d15f3684a2027634fc49696fc1670f0ac208f7c62706d478f4ee51b4
3
+ size 1064
tmp-checkpoint-557/trainer_state.json ADDED
@@ -0,0 +1,371 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.43474748730659485,
3
+ "best_model_checkpoint": "swin-tiny-patch4-window7-224-crack-detectorMAIN50epochsFINAL\\checkpoint-557",
4
+ "epoch": 0.9991031390134529,
5
+ "eval_steps": 500,
6
+ "global_step": 557,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.02,
13
+ "learning_rate": 1.7953321364452426e-07,
14
+ "loss": 1.4257,
15
+ "step": 10
16
+ },
17
+ {
18
+ "epoch": 0.04,
19
+ "learning_rate": 3.590664272890485e-07,
20
+ "loss": 1.4227,
21
+ "step": 20
22
+ },
23
+ {
24
+ "epoch": 0.05,
25
+ "learning_rate": 5.385996409335728e-07,
26
+ "loss": 1.4112,
27
+ "step": 30
28
+ },
29
+ {
30
+ "epoch": 0.07,
31
+ "learning_rate": 7.18132854578097e-07,
32
+ "loss": 1.4052,
33
+ "step": 40
34
+ },
35
+ {
36
+ "epoch": 0.09,
37
+ "learning_rate": 8.976660682226213e-07,
38
+ "loss": 1.3954,
39
+ "step": 50
40
+ },
41
+ {
42
+ "epoch": 0.11,
43
+ "learning_rate": 1.0771992818671456e-06,
44
+ "loss": 1.3978,
45
+ "step": 60
46
+ },
47
+ {
48
+ "epoch": 0.13,
49
+ "learning_rate": 1.2567324955116697e-06,
50
+ "loss": 1.3862,
51
+ "step": 70
52
+ },
53
+ {
54
+ "epoch": 0.14,
55
+ "learning_rate": 1.436265709156194e-06,
56
+ "loss": 1.3651,
57
+ "step": 80
58
+ },
59
+ {
60
+ "epoch": 0.16,
61
+ "learning_rate": 1.6157989228007182e-06,
62
+ "loss": 1.359,
63
+ "step": 90
64
+ },
65
+ {
66
+ "epoch": 0.18,
67
+ "learning_rate": 1.7953321364452425e-06,
68
+ "loss": 1.3476,
69
+ "step": 100
70
+ },
71
+ {
72
+ "epoch": 0.2,
73
+ "learning_rate": 1.9748653500897667e-06,
74
+ "loss": 1.3303,
75
+ "step": 110
76
+ },
77
+ {
78
+ "epoch": 0.22,
79
+ "learning_rate": 2.1543985637342912e-06,
80
+ "loss": 1.3047,
81
+ "step": 120
82
+ },
83
+ {
84
+ "epoch": 0.23,
85
+ "learning_rate": 2.333931777378815e-06,
86
+ "loss": 1.2944,
87
+ "step": 130
88
+ },
89
+ {
90
+ "epoch": 0.25,
91
+ "learning_rate": 2.5134649910233395e-06,
92
+ "loss": 1.284,
93
+ "step": 140
94
+ },
95
+ {
96
+ "epoch": 0.27,
97
+ "learning_rate": 2.6929982046678636e-06,
98
+ "loss": 1.23,
99
+ "step": 150
100
+ },
101
+ {
102
+ "epoch": 0.29,
103
+ "learning_rate": 2.872531418312388e-06,
104
+ "loss": 1.2103,
105
+ "step": 160
106
+ },
107
+ {
108
+ "epoch": 0.3,
109
+ "learning_rate": 3.0520646319569123e-06,
110
+ "loss": 1.187,
111
+ "step": 170
112
+ },
113
+ {
114
+ "epoch": 0.32,
115
+ "learning_rate": 3.2315978456014364e-06,
116
+ "loss": 1.1591,
117
+ "step": 180
118
+ },
119
+ {
120
+ "epoch": 0.34,
121
+ "learning_rate": 3.411131059245961e-06,
122
+ "loss": 1.144,
123
+ "step": 190
124
+ },
125
+ {
126
+ "epoch": 0.36,
127
+ "learning_rate": 3.590664272890485e-06,
128
+ "loss": 1.0904,
129
+ "step": 200
130
+ },
131
+ {
132
+ "epoch": 0.38,
133
+ "learning_rate": 3.770197486535009e-06,
134
+ "loss": 1.0401,
135
+ "step": 210
136
+ },
137
+ {
138
+ "epoch": 0.39,
139
+ "learning_rate": 3.949730700179533e-06,
140
+ "loss": 1.0281,
141
+ "step": 220
142
+ },
143
+ {
144
+ "epoch": 0.41,
145
+ "learning_rate": 4.129263913824058e-06,
146
+ "loss": 0.9577,
147
+ "step": 230
148
+ },
149
+ {
150
+ "epoch": 0.43,
151
+ "learning_rate": 4.3087971274685824e-06,
152
+ "loss": 0.9251,
153
+ "step": 240
154
+ },
155
+ {
156
+ "epoch": 0.45,
157
+ "learning_rate": 4.488330341113106e-06,
158
+ "loss": 0.8964,
159
+ "step": 250
160
+ },
161
+ {
162
+ "epoch": 0.47,
163
+ "learning_rate": 4.66786355475763e-06,
164
+ "loss": 0.8897,
165
+ "step": 260
166
+ },
167
+ {
168
+ "epoch": 0.48,
169
+ "learning_rate": 4.847396768402154e-06,
170
+ "loss": 0.8481,
171
+ "step": 270
172
+ },
173
+ {
174
+ "epoch": 0.5,
175
+ "learning_rate": 5.026929982046679e-06,
176
+ "loss": 0.8048,
177
+ "step": 280
178
+ },
179
+ {
180
+ "epoch": 0.52,
181
+ "learning_rate": 5.206463195691203e-06,
182
+ "loss": 0.8014,
183
+ "step": 290
184
+ },
185
+ {
186
+ "epoch": 0.54,
187
+ "learning_rate": 5.385996409335727e-06,
188
+ "loss": 0.7511,
189
+ "step": 300
190
+ },
191
+ {
192
+ "epoch": 0.56,
193
+ "learning_rate": 5.565529622980251e-06,
194
+ "loss": 0.741,
195
+ "step": 310
196
+ },
197
+ {
198
+ "epoch": 0.57,
199
+ "learning_rate": 5.745062836624776e-06,
200
+ "loss": 0.7327,
201
+ "step": 320
202
+ },
203
+ {
204
+ "epoch": 0.59,
205
+ "learning_rate": 5.9245960502693004e-06,
206
+ "loss": 0.7492,
207
+ "step": 330
208
+ },
209
+ {
210
+ "epoch": 0.61,
211
+ "learning_rate": 6.1041292639138246e-06,
212
+ "loss": 0.7613,
213
+ "step": 340
214
+ },
215
+ {
216
+ "epoch": 0.63,
217
+ "learning_rate": 6.283662477558349e-06,
218
+ "loss": 0.6902,
219
+ "step": 350
220
+ },
221
+ {
222
+ "epoch": 0.65,
223
+ "learning_rate": 6.463195691202873e-06,
224
+ "loss": 0.6687,
225
+ "step": 360
226
+ },
227
+ {
228
+ "epoch": 0.66,
229
+ "learning_rate": 6.642728904847396e-06,
230
+ "loss": 0.6623,
231
+ "step": 370
232
+ },
233
+ {
234
+ "epoch": 0.68,
235
+ "learning_rate": 6.822262118491922e-06,
236
+ "loss": 0.6901,
237
+ "step": 380
238
+ },
239
+ {
240
+ "epoch": 0.7,
241
+ "learning_rate": 7.001795332136446e-06,
242
+ "loss": 0.6638,
243
+ "step": 390
244
+ },
245
+ {
246
+ "epoch": 0.72,
247
+ "learning_rate": 7.18132854578097e-06,
248
+ "loss": 0.6414,
249
+ "step": 400
250
+ },
251
+ {
252
+ "epoch": 0.74,
253
+ "learning_rate": 7.360861759425494e-06,
254
+ "loss": 0.6877,
255
+ "step": 410
256
+ },
257
+ {
258
+ "epoch": 0.75,
259
+ "learning_rate": 7.540394973070018e-06,
260
+ "loss": 0.6249,
261
+ "step": 420
262
+ },
263
+ {
264
+ "epoch": 0.77,
265
+ "learning_rate": 7.719928186714543e-06,
266
+ "loss": 0.6099,
267
+ "step": 430
268
+ },
269
+ {
270
+ "epoch": 0.79,
271
+ "learning_rate": 7.899461400359067e-06,
272
+ "loss": 0.6321,
273
+ "step": 440
274
+ },
275
+ {
276
+ "epoch": 0.81,
277
+ "learning_rate": 8.07899461400359e-06,
278
+ "loss": 0.6431,
279
+ "step": 450
280
+ },
281
+ {
282
+ "epoch": 0.83,
283
+ "learning_rate": 8.258527827648117e-06,
284
+ "loss": 0.6404,
285
+ "step": 460
286
+ },
287
+ {
288
+ "epoch": 0.84,
289
+ "learning_rate": 8.43806104129264e-06,
290
+ "loss": 0.6148,
291
+ "step": 470
292
+ },
293
+ {
294
+ "epoch": 0.86,
295
+ "learning_rate": 8.617594254937165e-06,
296
+ "loss": 0.5844,
297
+ "step": 480
298
+ },
299
+ {
300
+ "epoch": 0.88,
301
+ "learning_rate": 8.797127468581689e-06,
302
+ "loss": 0.6316,
303
+ "step": 490
304
+ },
305
+ {
306
+ "epoch": 0.9,
307
+ "learning_rate": 8.976660682226211e-06,
308
+ "loss": 0.6018,
309
+ "step": 500
310
+ },
311
+ {
312
+ "epoch": 0.91,
313
+ "learning_rate": 9.156193895870736e-06,
314
+ "loss": 0.5843,
315
+ "step": 510
316
+ },
317
+ {
318
+ "epoch": 0.93,
319
+ "learning_rate": 9.33572710951526e-06,
320
+ "loss": 0.5986,
321
+ "step": 520
322
+ },
323
+ {
324
+ "epoch": 0.95,
325
+ "learning_rate": 9.515260323159784e-06,
326
+ "loss": 0.5718,
327
+ "step": 530
328
+ },
329
+ {
330
+ "epoch": 0.97,
331
+ "learning_rate": 9.694793536804308e-06,
332
+ "loss": 0.5163,
333
+ "step": 540
334
+ },
335
+ {
336
+ "epoch": 0.99,
337
+ "learning_rate": 9.874326750448834e-06,
338
+ "loss": 0.5448,
339
+ "step": 550
340
+ },
341
+ {
342
+ "epoch": 1.0,
343
+ "eval_accuracy": {
344
+ "accuracy": 0.8387530836510428
345
+ },
346
+ "eval_f1": {
347
+ "f1": 0.8242528613153339
348
+ },
349
+ "eval_loss": 0.43474748730659485,
350
+ "eval_precision": {
351
+ "precision": 0.8238035334510331
352
+ },
353
+ "eval_recall": {
354
+ "recall": 0.8266051811271123
355
+ },
356
+ "eval_runtime": 171.551,
357
+ "eval_samples_per_second": 103.969,
358
+ "eval_steps_per_second": 3.253,
359
+ "step": 557
360
+ }
361
+ ],
362
+ "logging_steps": 10,
363
+ "max_steps": 27850,
364
+ "num_input_tokens_seen": 0,
365
+ "num_train_epochs": 50,
366
+ "save_steps": 500,
367
+ "total_flos": 1.7733253506748416e+18,
368
+ "train_batch_size": 32,
369
+ "trial_name": null,
370
+ "trial_params": null
371
+ }
tmp-checkpoint-557/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c081bc3c7c7c6c246b97a8d5de1f01d4b69caf186a7167574020cb94e76e323a
3
+ size 4792
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c081bc3c7c7c6c246b97a8d5de1f01d4b69caf186a7167574020cb94e76e323a
3
+ size 4792