KhalfounMehdi commited on
Commit
ea4787b
·
1 Parent(s): ba01c26

Upload folder using huggingface_hub

Browse files
README.md ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+
2
+ ---
3
+ tags:
4
+ - autotrain
5
+ - image-classification
6
+ widget:
7
+ - src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg
8
+ example_title: Tiger
9
+ - src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/teapot.jpg
10
+ example_title: Teapot
11
+ - src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/palace.jpg
12
+ example_title: Palace
13
+ datasets:
14
+ - KhalfounMehdi/mura_dataset_processed_224px_train_val
15
+ ---
16
+
17
+ # Model Trained Using AutoTrain
18
+
19
+ - Problem type: Image Classification
20
+
21
+ ## Validation Metricsg
22
+ loss: 0.5185230374336243
23
+
24
+ f1: 0.8211164615658998
25
+
26
+ precision: 0.7175810473815462
27
+
28
+ recall: 0.9595664860358483
29
+
30
+ auc: 0.7988417458585272
31
+
32
+ accuracy: 0.749312671832042
checkpoint-9004/config.json ADDED
@@ -0,0 +1,33 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "KhalfounMehdi/mura_vit_224",
3
+ "_num_labels": 2,
4
+ "architectures": [
5
+ "ViTForImageClassification"
6
+ ],
7
+ "attention_probs_dropout_prob": 0.0,
8
+ "encoder_stride": 16,
9
+ "hidden_act": "gelu",
10
+ "hidden_dropout_prob": 0.0,
11
+ "hidden_size": 768,
12
+ "id2label": {
13
+ "0": "abnormal",
14
+ "1": "normal"
15
+ },
16
+ "image_size": 224,
17
+ "initializer_range": 0.02,
18
+ "intermediate_size": 3072,
19
+ "label2id": {
20
+ "abnormal": 0,
21
+ "normal": 1
22
+ },
23
+ "layer_norm_eps": 1e-12,
24
+ "model_type": "vit",
25
+ "num_attention_heads": 12,
26
+ "num_channels": 3,
27
+ "num_hidden_layers": 12,
28
+ "patch_size": 16,
29
+ "problem_type": "single_label_classification",
30
+ "qkv_bias": true,
31
+ "torch_dtype": "float32",
32
+ "transformers_version": "4.33.0.dev0"
33
+ }
checkpoint-9004/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7c81da075e723bf5519fea4723570d6eb6b03368e09e5cb06228e67d270d3e48
3
+ size 686568453
checkpoint-9004/pytorch_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2aa275df102c4055478fea67c20c37edd7e84655990d4ee849cbdb9ccc94661d
3
+ size 343268717
checkpoint-9004/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7e8205b22b996108d5f57e6682d0098afe796b461ca684cc0709bb34b69b7f95
3
+ size 14575
checkpoint-9004/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1530d91dbb1b9f747eb3bca6652f400232a7acfb40404ed33fdb28f80b731494
3
+ size 627
checkpoint-9004/trainer_state.json ADDED
@@ -0,0 +1,1151 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.5185230374336243,
3
+ "best_model_checkpoint": "mura_vit_224_10ep/checkpoint-9004",
4
+ "epoch": 4.0,
5
+ "eval_steps": 500,
6
+ "global_step": 9004,
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": 2.221235006663705e-06,
14
+ "loss": 0.501,
15
+ "step": 50
16
+ },
17
+ {
18
+ "epoch": 0.04,
19
+ "learning_rate": 4.44247001332741e-06,
20
+ "loss": 0.4777,
21
+ "step": 100
22
+ },
23
+ {
24
+ "epoch": 0.07,
25
+ "learning_rate": 6.663705019991115e-06,
26
+ "loss": 0.4847,
27
+ "step": 150
28
+ },
29
+ {
30
+ "epoch": 0.09,
31
+ "learning_rate": 8.88494002665482e-06,
32
+ "loss": 0.4587,
33
+ "step": 200
34
+ },
35
+ {
36
+ "epoch": 0.11,
37
+ "learning_rate": 1.1106175033318526e-05,
38
+ "loss": 0.4898,
39
+ "step": 250
40
+ },
41
+ {
42
+ "epoch": 0.13,
43
+ "learning_rate": 1.332741003998223e-05,
44
+ "loss": 0.5003,
45
+ "step": 300
46
+ },
47
+ {
48
+ "epoch": 0.16,
49
+ "learning_rate": 1.5548645046645934e-05,
50
+ "loss": 0.4713,
51
+ "step": 350
52
+ },
53
+ {
54
+ "epoch": 0.18,
55
+ "learning_rate": 1.776988005330964e-05,
56
+ "loss": 0.5044,
57
+ "step": 400
58
+ },
59
+ {
60
+ "epoch": 0.2,
61
+ "learning_rate": 1.9991115059973345e-05,
62
+ "loss": 0.4841,
63
+ "step": 450
64
+ },
65
+ {
66
+ "epoch": 0.22,
67
+ "learning_rate": 2.2212350066637052e-05,
68
+ "loss": 0.4805,
69
+ "step": 500
70
+ },
71
+ {
72
+ "epoch": 0.24,
73
+ "learning_rate": 2.443358507330076e-05,
74
+ "loss": 0.4721,
75
+ "step": 550
76
+ },
77
+ {
78
+ "epoch": 0.27,
79
+ "learning_rate": 2.665482007996446e-05,
80
+ "loss": 0.5021,
81
+ "step": 600
82
+ },
83
+ {
84
+ "epoch": 0.29,
85
+ "learning_rate": 2.8876055086628167e-05,
86
+ "loss": 0.5348,
87
+ "step": 650
88
+ },
89
+ {
90
+ "epoch": 0.31,
91
+ "learning_rate": 3.109729009329187e-05,
92
+ "loss": 0.48,
93
+ "step": 700
94
+ },
95
+ {
96
+ "epoch": 0.33,
97
+ "learning_rate": 3.331852509995558e-05,
98
+ "loss": 0.5005,
99
+ "step": 750
100
+ },
101
+ {
102
+ "epoch": 0.36,
103
+ "learning_rate": 3.553976010661928e-05,
104
+ "loss": 0.4833,
105
+ "step": 800
106
+ },
107
+ {
108
+ "epoch": 0.38,
109
+ "learning_rate": 3.7760995113282985e-05,
110
+ "loss": 0.5251,
111
+ "step": 850
112
+ },
113
+ {
114
+ "epoch": 0.4,
115
+ "learning_rate": 3.998223011994669e-05,
116
+ "loss": 0.4782,
117
+ "step": 900
118
+ },
119
+ {
120
+ "epoch": 0.42,
121
+ "learning_rate": 4.22034651266104e-05,
122
+ "loss": 0.5145,
123
+ "step": 950
124
+ },
125
+ {
126
+ "epoch": 0.44,
127
+ "learning_rate": 4.4424700133274104e-05,
128
+ "loss": 0.4776,
129
+ "step": 1000
130
+ },
131
+ {
132
+ "epoch": 0.47,
133
+ "learning_rate": 4.664593513993781e-05,
134
+ "loss": 0.5021,
135
+ "step": 1050
136
+ },
137
+ {
138
+ "epoch": 0.49,
139
+ "learning_rate": 4.886717014660152e-05,
140
+ "loss": 0.4772,
141
+ "step": 1100
142
+ },
143
+ {
144
+ "epoch": 0.51,
145
+ "learning_rate": 5.1088405153265215e-05,
146
+ "loss": 0.5037,
147
+ "step": 1150
148
+ },
149
+ {
150
+ "epoch": 0.53,
151
+ "learning_rate": 5.330964015992892e-05,
152
+ "loss": 0.4697,
153
+ "step": 1200
154
+ },
155
+ {
156
+ "epoch": 0.56,
157
+ "learning_rate": 5.5530875166592636e-05,
158
+ "loss": 0.5098,
159
+ "step": 1250
160
+ },
161
+ {
162
+ "epoch": 0.58,
163
+ "learning_rate": 5.7752110173256333e-05,
164
+ "loss": 0.5352,
165
+ "step": 1300
166
+ },
167
+ {
168
+ "epoch": 0.6,
169
+ "learning_rate": 5.997334517992004e-05,
170
+ "loss": 0.5043,
171
+ "step": 1350
172
+ },
173
+ {
174
+ "epoch": 0.62,
175
+ "learning_rate": 6.219458018658373e-05,
176
+ "loss": 0.5291,
177
+ "step": 1400
178
+ },
179
+ {
180
+ "epoch": 0.64,
181
+ "learning_rate": 6.441581519324746e-05,
182
+ "loss": 0.494,
183
+ "step": 1450
184
+ },
185
+ {
186
+ "epoch": 0.67,
187
+ "learning_rate": 6.663705019991116e-05,
188
+ "loss": 0.5106,
189
+ "step": 1500
190
+ },
191
+ {
192
+ "epoch": 0.69,
193
+ "learning_rate": 6.885828520657485e-05,
194
+ "loss": 0.5239,
195
+ "step": 1550
196
+ },
197
+ {
198
+ "epoch": 0.71,
199
+ "learning_rate": 7.107952021323856e-05,
200
+ "loss": 0.5297,
201
+ "step": 1600
202
+ },
203
+ {
204
+ "epoch": 0.73,
205
+ "learning_rate": 7.330075521990227e-05,
206
+ "loss": 0.5363,
207
+ "step": 1650
208
+ },
209
+ {
210
+ "epoch": 0.76,
211
+ "learning_rate": 7.552199022656597e-05,
212
+ "loss": 0.4827,
213
+ "step": 1700
214
+ },
215
+ {
216
+ "epoch": 0.78,
217
+ "learning_rate": 7.774322523322968e-05,
218
+ "loss": 0.4679,
219
+ "step": 1750
220
+ },
221
+ {
222
+ "epoch": 0.8,
223
+ "learning_rate": 7.996446023989338e-05,
224
+ "loss": 0.5022,
225
+ "step": 1800
226
+ },
227
+ {
228
+ "epoch": 0.82,
229
+ "learning_rate": 8.218569524655709e-05,
230
+ "loss": 0.546,
231
+ "step": 1850
232
+ },
233
+ {
234
+ "epoch": 0.84,
235
+ "learning_rate": 8.44069302532208e-05,
236
+ "loss": 0.5214,
237
+ "step": 1900
238
+ },
239
+ {
240
+ "epoch": 0.87,
241
+ "learning_rate": 8.66281652598845e-05,
242
+ "loss": 0.5249,
243
+ "step": 1950
244
+ },
245
+ {
246
+ "epoch": 0.89,
247
+ "learning_rate": 8.884940026654821e-05,
248
+ "loss": 0.4825,
249
+ "step": 2000
250
+ },
251
+ {
252
+ "epoch": 0.91,
253
+ "learning_rate": 9.107063527321192e-05,
254
+ "loss": 0.508,
255
+ "step": 2050
256
+ },
257
+ {
258
+ "epoch": 0.93,
259
+ "learning_rate": 9.329187027987562e-05,
260
+ "loss": 0.541,
261
+ "step": 2100
262
+ },
263
+ {
264
+ "epoch": 0.96,
265
+ "learning_rate": 9.551310528653931e-05,
266
+ "loss": 0.5459,
267
+ "step": 2150
268
+ },
269
+ {
270
+ "epoch": 0.98,
271
+ "learning_rate": 9.773434029320304e-05,
272
+ "loss": 0.5086,
273
+ "step": 2200
274
+ },
275
+ {
276
+ "epoch": 1.0,
277
+ "learning_rate": 9.995557529986673e-05,
278
+ "loss": 0.499,
279
+ "step": 2250
280
+ },
281
+ {
282
+ "epoch": 1.0,
283
+ "eval_accuracy": 0.7555611097225694,
284
+ "eval_auc": 0.8084199669129719,
285
+ "eval_f1": 0.8114880493446416,
286
+ "eval_loss": 0.5284907817840576,
287
+ "eval_precision": 0.7547508067407673,
288
+ "eval_recall": 0.8774489370571071,
289
+ "eval_runtime": 41.4612,
290
+ "eval_samples_per_second": 96.5,
291
+ "eval_steps_per_second": 3.039,
292
+ "step": 2251
293
+ },
294
+ {
295
+ "epoch": 1.02,
296
+ "learning_rate": 0.00010217681030653043,
297
+ "loss": 0.5376,
298
+ "step": 2300
299
+ },
300
+ {
301
+ "epoch": 1.04,
302
+ "learning_rate": 0.00010439804531319415,
303
+ "loss": 0.5448,
304
+ "step": 2350
305
+ },
306
+ {
307
+ "epoch": 1.07,
308
+ "learning_rate": 0.00010661928031985784,
309
+ "loss": 0.5191,
310
+ "step": 2400
311
+ },
312
+ {
313
+ "epoch": 1.09,
314
+ "learning_rate": 0.00010884051532652155,
315
+ "loss": 0.5306,
316
+ "step": 2450
317
+ },
318
+ {
319
+ "epoch": 1.11,
320
+ "learning_rate": 0.00011106175033318527,
321
+ "loss": 0.5159,
322
+ "step": 2500
323
+ },
324
+ {
325
+ "epoch": 1.13,
326
+ "learning_rate": 0.00011328298533984896,
327
+ "loss": 0.522,
328
+ "step": 2550
329
+ },
330
+ {
331
+ "epoch": 1.16,
332
+ "learning_rate": 0.00011550422034651267,
333
+ "loss": 0.5133,
334
+ "step": 2600
335
+ },
336
+ {
337
+ "epoch": 1.18,
338
+ "learning_rate": 0.00011772545535317636,
339
+ "loss": 0.5307,
340
+ "step": 2650
341
+ },
342
+ {
343
+ "epoch": 1.2,
344
+ "learning_rate": 0.00011994669035984007,
345
+ "loss": 0.529,
346
+ "step": 2700
347
+ },
348
+ {
349
+ "epoch": 1.22,
350
+ "learning_rate": 0.00012216792536650379,
351
+ "loss": 0.5238,
352
+ "step": 2750
353
+ },
354
+ {
355
+ "epoch": 1.24,
356
+ "learning_rate": 0.00012438916037316747,
357
+ "loss": 0.5174,
358
+ "step": 2800
359
+ },
360
+ {
361
+ "epoch": 1.27,
362
+ "learning_rate": 0.00012661039537983118,
363
+ "loss": 0.5835,
364
+ "step": 2850
365
+ },
366
+ {
367
+ "epoch": 1.29,
368
+ "learning_rate": 0.00012883163038649492,
369
+ "loss": 0.5497,
370
+ "step": 2900
371
+ },
372
+ {
373
+ "epoch": 1.31,
374
+ "learning_rate": 0.0001310528653931586,
375
+ "loss": 0.5509,
376
+ "step": 2950
377
+ },
378
+ {
379
+ "epoch": 1.33,
380
+ "learning_rate": 0.0001332741003998223,
381
+ "loss": 0.5461,
382
+ "step": 3000
383
+ },
384
+ {
385
+ "epoch": 1.35,
386
+ "learning_rate": 0.00013549533540648602,
387
+ "loss": 0.5155,
388
+ "step": 3050
389
+ },
390
+ {
391
+ "epoch": 1.38,
392
+ "learning_rate": 0.0001377165704131497,
393
+ "loss": 0.5315,
394
+ "step": 3100
395
+ },
396
+ {
397
+ "epoch": 1.4,
398
+ "learning_rate": 0.00013993780541981342,
399
+ "loss": 0.552,
400
+ "step": 3150
401
+ },
402
+ {
403
+ "epoch": 1.42,
404
+ "learning_rate": 0.00014215904042647713,
405
+ "loss": 0.5293,
406
+ "step": 3200
407
+ },
408
+ {
409
+ "epoch": 1.44,
410
+ "learning_rate": 0.00014438027543314084,
411
+ "loss": 0.5443,
412
+ "step": 3250
413
+ },
414
+ {
415
+ "epoch": 1.47,
416
+ "learning_rate": 0.00014660151043980455,
417
+ "loss": 0.5472,
418
+ "step": 3300
419
+ },
420
+ {
421
+ "epoch": 1.49,
422
+ "learning_rate": 0.00014882274544646823,
423
+ "loss": 0.5381,
424
+ "step": 3350
425
+ },
426
+ {
427
+ "epoch": 1.51,
428
+ "learning_rate": 0.00015104398045313194,
429
+ "loss": 0.5528,
430
+ "step": 3400
431
+ },
432
+ {
433
+ "epoch": 1.53,
434
+ "learning_rate": 0.00015326521545979565,
435
+ "loss": 0.521,
436
+ "step": 3450
437
+ },
438
+ {
439
+ "epoch": 1.55,
440
+ "learning_rate": 0.00015548645046645936,
441
+ "loss": 0.5698,
442
+ "step": 3500
443
+ },
444
+ {
445
+ "epoch": 1.58,
446
+ "learning_rate": 0.00015770768547312307,
447
+ "loss": 0.5726,
448
+ "step": 3550
449
+ },
450
+ {
451
+ "epoch": 1.6,
452
+ "learning_rate": 0.00015992892047978676,
453
+ "loss": 0.5405,
454
+ "step": 3600
455
+ },
456
+ {
457
+ "epoch": 1.62,
458
+ "learning_rate": 0.00016215015548645047,
459
+ "loss": 0.5606,
460
+ "step": 3650
461
+ },
462
+ {
463
+ "epoch": 1.64,
464
+ "learning_rate": 0.00016437139049311418,
465
+ "loss": 0.5577,
466
+ "step": 3700
467
+ },
468
+ {
469
+ "epoch": 1.67,
470
+ "learning_rate": 0.0001665926254997779,
471
+ "loss": 0.5447,
472
+ "step": 3750
473
+ },
474
+ {
475
+ "epoch": 1.69,
476
+ "learning_rate": 0.0001688138605064416,
477
+ "loss": 0.5502,
478
+ "step": 3800
479
+ },
480
+ {
481
+ "epoch": 1.71,
482
+ "learning_rate": 0.0001710350955131053,
483
+ "loss": 0.5725,
484
+ "step": 3850
485
+ },
486
+ {
487
+ "epoch": 1.73,
488
+ "learning_rate": 0.000173256330519769,
489
+ "loss": 0.6174,
490
+ "step": 3900
491
+ },
492
+ {
493
+ "epoch": 1.75,
494
+ "learning_rate": 0.0001754775655264327,
495
+ "loss": 0.549,
496
+ "step": 3950
497
+ },
498
+ {
499
+ "epoch": 1.78,
500
+ "learning_rate": 0.00017769880053309641,
501
+ "loss": 0.562,
502
+ "step": 4000
503
+ },
504
+ {
505
+ "epoch": 1.8,
506
+ "learning_rate": 0.00017992003553976013,
507
+ "loss": 0.5602,
508
+ "step": 4050
509
+ },
510
+ {
511
+ "epoch": 1.82,
512
+ "learning_rate": 0.00018214127054642384,
513
+ "loss": 0.568,
514
+ "step": 4100
515
+ },
516
+ {
517
+ "epoch": 1.84,
518
+ "learning_rate": 0.00018436250555308752,
519
+ "loss": 0.5753,
520
+ "step": 4150
521
+ },
522
+ {
523
+ "epoch": 1.87,
524
+ "learning_rate": 0.00018658374055975123,
525
+ "loss": 0.5262,
526
+ "step": 4200
527
+ },
528
+ {
529
+ "epoch": 1.89,
530
+ "learning_rate": 0.00018880497556641494,
531
+ "loss": 0.5467,
532
+ "step": 4250
533
+ },
534
+ {
535
+ "epoch": 1.91,
536
+ "learning_rate": 0.00019102621057307862,
537
+ "loss": 0.5641,
538
+ "step": 4300
539
+ },
540
+ {
541
+ "epoch": 1.93,
542
+ "learning_rate": 0.00019324744557974233,
543
+ "loss": 0.5468,
544
+ "step": 4350
545
+ },
546
+ {
547
+ "epoch": 1.95,
548
+ "learning_rate": 0.00019546868058640607,
549
+ "loss": 0.5505,
550
+ "step": 4400
551
+ },
552
+ {
553
+ "epoch": 1.98,
554
+ "learning_rate": 0.00019768991559306976,
555
+ "loss": 0.5574,
556
+ "step": 4450
557
+ },
558
+ {
559
+ "epoch": 2.0,
560
+ "learning_rate": 0.00019991115059973347,
561
+ "loss": 0.5967,
562
+ "step": 4500
563
+ },
564
+ {
565
+ "epoch": 2.0,
566
+ "eval_accuracy": 0.7350662334416396,
567
+ "eval_auc": 0.7735341764853124,
568
+ "eval_f1": 0.8107142857142857,
569
+ "eval_loss": 0.538005530834198,
570
+ "eval_precision": 0.7091533895657607,
571
+ "eval_recall": 0.9462275948311797,
572
+ "eval_runtime": 41.5742,
573
+ "eval_samples_per_second": 96.237,
574
+ "eval_steps_per_second": 3.031,
575
+ "step": 4502
576
+ },
577
+ {
578
+ "epoch": 2.02,
579
+ "learning_rate": 0.00019976306826595587,
580
+ "loss": 0.5831,
581
+ "step": 4550
582
+ },
583
+ {
584
+ "epoch": 2.04,
585
+ "learning_rate": 0.00019951626437632658,
586
+ "loss": 0.5602,
587
+ "step": 4600
588
+ },
589
+ {
590
+ "epoch": 2.07,
591
+ "learning_rate": 0.00019926946048669727,
592
+ "loss": 0.5629,
593
+ "step": 4650
594
+ },
595
+ {
596
+ "epoch": 2.09,
597
+ "learning_rate": 0.00019902265659706798,
598
+ "loss": 0.5841,
599
+ "step": 4700
600
+ },
601
+ {
602
+ "epoch": 2.11,
603
+ "learning_rate": 0.00019877585270743867,
604
+ "loss": 0.5748,
605
+ "step": 4750
606
+ },
607
+ {
608
+ "epoch": 2.13,
609
+ "learning_rate": 0.00019852904881780938,
610
+ "loss": 0.5731,
611
+ "step": 4800
612
+ },
613
+ {
614
+ "epoch": 2.15,
615
+ "learning_rate": 0.00019828224492818007,
616
+ "loss": 0.5691,
617
+ "step": 4850
618
+ },
619
+ {
620
+ "epoch": 2.18,
621
+ "learning_rate": 0.00019803544103855078,
622
+ "loss": 0.5793,
623
+ "step": 4900
624
+ },
625
+ {
626
+ "epoch": 2.2,
627
+ "learning_rate": 0.0001977886371489215,
628
+ "loss": 0.548,
629
+ "step": 4950
630
+ },
631
+ {
632
+ "epoch": 2.22,
633
+ "learning_rate": 0.00019754183325929218,
634
+ "loss": 0.5688,
635
+ "step": 5000
636
+ },
637
+ {
638
+ "epoch": 2.24,
639
+ "learning_rate": 0.00019729502936966287,
640
+ "loss": 0.5533,
641
+ "step": 5050
642
+ },
643
+ {
644
+ "epoch": 2.27,
645
+ "learning_rate": 0.00019704822548003356,
646
+ "loss": 0.5733,
647
+ "step": 5100
648
+ },
649
+ {
650
+ "epoch": 2.29,
651
+ "learning_rate": 0.00019680142159040427,
652
+ "loss": 0.5382,
653
+ "step": 5150
654
+ },
655
+ {
656
+ "epoch": 2.31,
657
+ "learning_rate": 0.00019655461770077496,
658
+ "loss": 0.5636,
659
+ "step": 5200
660
+ },
661
+ {
662
+ "epoch": 2.33,
663
+ "learning_rate": 0.00019630781381114567,
664
+ "loss": 0.5499,
665
+ "step": 5250
666
+ },
667
+ {
668
+ "epoch": 2.35,
669
+ "learning_rate": 0.00019606100992151636,
670
+ "loss": 0.5729,
671
+ "step": 5300
672
+ },
673
+ {
674
+ "epoch": 2.38,
675
+ "learning_rate": 0.00019581420603188707,
676
+ "loss": 0.5723,
677
+ "step": 5350
678
+ },
679
+ {
680
+ "epoch": 2.4,
681
+ "learning_rate": 0.00019556740214225776,
682
+ "loss": 0.5568,
683
+ "step": 5400
684
+ },
685
+ {
686
+ "epoch": 2.42,
687
+ "learning_rate": 0.00019532059825262847,
688
+ "loss": 0.5702,
689
+ "step": 5450
690
+ },
691
+ {
692
+ "epoch": 2.44,
693
+ "learning_rate": 0.00019507379436299916,
694
+ "loss": 0.5658,
695
+ "step": 5500
696
+ },
697
+ {
698
+ "epoch": 2.47,
699
+ "learning_rate": 0.00019482699047336987,
700
+ "loss": 0.5605,
701
+ "step": 5550
702
+ },
703
+ {
704
+ "epoch": 2.49,
705
+ "learning_rate": 0.0001945801865837406,
706
+ "loss": 0.6323,
707
+ "step": 5600
708
+ },
709
+ {
710
+ "epoch": 2.51,
711
+ "learning_rate": 0.00019433338269411128,
712
+ "loss": 0.6038,
713
+ "step": 5650
714
+ },
715
+ {
716
+ "epoch": 2.53,
717
+ "learning_rate": 0.000194086578804482,
718
+ "loss": 0.5493,
719
+ "step": 5700
720
+ },
721
+ {
722
+ "epoch": 2.55,
723
+ "learning_rate": 0.00019383977491485265,
724
+ "loss": 0.585,
725
+ "step": 5750
726
+ },
727
+ {
728
+ "epoch": 2.58,
729
+ "learning_rate": 0.00019359297102522336,
730
+ "loss": 0.601,
731
+ "step": 5800
732
+ },
733
+ {
734
+ "epoch": 2.6,
735
+ "learning_rate": 0.00019334616713559405,
736
+ "loss": 0.5556,
737
+ "step": 5850
738
+ },
739
+ {
740
+ "epoch": 2.62,
741
+ "learning_rate": 0.00019309936324596476,
742
+ "loss": 0.5912,
743
+ "step": 5900
744
+ },
745
+ {
746
+ "epoch": 2.64,
747
+ "learning_rate": 0.00019285255935633545,
748
+ "loss": 0.5651,
749
+ "step": 5950
750
+ },
751
+ {
752
+ "epoch": 2.67,
753
+ "learning_rate": 0.00019260575546670616,
754
+ "loss": 0.5816,
755
+ "step": 6000
756
+ },
757
+ {
758
+ "epoch": 2.69,
759
+ "learning_rate": 0.00019235895157707685,
760
+ "loss": 0.5632,
761
+ "step": 6050
762
+ },
763
+ {
764
+ "epoch": 2.71,
765
+ "learning_rate": 0.00019211214768744756,
766
+ "loss": 0.5904,
767
+ "step": 6100
768
+ },
769
+ {
770
+ "epoch": 2.73,
771
+ "learning_rate": 0.00019186534379781825,
772
+ "loss": 0.5578,
773
+ "step": 6150
774
+ },
775
+ {
776
+ "epoch": 2.75,
777
+ "learning_rate": 0.00019161853990818897,
778
+ "loss": 0.5435,
779
+ "step": 6200
780
+ },
781
+ {
782
+ "epoch": 2.78,
783
+ "learning_rate": 0.00019137173601855968,
784
+ "loss": 0.5392,
785
+ "step": 6250
786
+ },
787
+ {
788
+ "epoch": 2.8,
789
+ "learning_rate": 0.00019112493212893037,
790
+ "loss": 0.5517,
791
+ "step": 6300
792
+ },
793
+ {
794
+ "epoch": 2.82,
795
+ "learning_rate": 0.00019087812823930108,
796
+ "loss": 0.5339,
797
+ "step": 6350
798
+ },
799
+ {
800
+ "epoch": 2.84,
801
+ "learning_rate": 0.00019063132434967177,
802
+ "loss": 0.5683,
803
+ "step": 6400
804
+ },
805
+ {
806
+ "epoch": 2.87,
807
+ "learning_rate": 0.00019038452046004248,
808
+ "loss": 0.5847,
809
+ "step": 6450
810
+ },
811
+ {
812
+ "epoch": 2.89,
813
+ "learning_rate": 0.00019013771657041314,
814
+ "loss": 0.5245,
815
+ "step": 6500
816
+ },
817
+ {
818
+ "epoch": 2.91,
819
+ "learning_rate": 0.00018989091268078385,
820
+ "loss": 0.5635,
821
+ "step": 6550
822
+ },
823
+ {
824
+ "epoch": 2.93,
825
+ "learning_rate": 0.00018964410879115454,
826
+ "loss": 0.6235,
827
+ "step": 6600
828
+ },
829
+ {
830
+ "epoch": 2.95,
831
+ "learning_rate": 0.00018939730490152525,
832
+ "loss": 0.6038,
833
+ "step": 6650
834
+ },
835
+ {
836
+ "epoch": 2.98,
837
+ "learning_rate": 0.00018915050101189594,
838
+ "loss": 0.5759,
839
+ "step": 6700
840
+ },
841
+ {
842
+ "epoch": 3.0,
843
+ "learning_rate": 0.00018890369712226666,
844
+ "loss": 0.5875,
845
+ "step": 6750
846
+ },
847
+ {
848
+ "epoch": 3.0,
849
+ "eval_accuracy": 0.7370657335666083,
850
+ "eval_auc": 0.7775605108037629,
851
+ "eval_f1": 0.7994662600076249,
852
+ "eval_loss": 0.5398992896080017,
853
+ "eval_precision": 0.7365648050579557,
854
+ "eval_recall": 0.8741142142559399,
855
+ "eval_runtime": 41.6653,
856
+ "eval_samples_per_second": 96.027,
857
+ "eval_steps_per_second": 3.024,
858
+ "step": 6753
859
+ },
860
+ {
861
+ "epoch": 3.02,
862
+ "learning_rate": 0.00018865689323263734,
863
+ "loss": 0.5611,
864
+ "step": 6800
865
+ },
866
+ {
867
+ "epoch": 3.04,
868
+ "learning_rate": 0.00018841008934300806,
869
+ "loss": 0.5595,
870
+ "step": 6850
871
+ },
872
+ {
873
+ "epoch": 3.07,
874
+ "learning_rate": 0.00018816328545337877,
875
+ "loss": 0.5751,
876
+ "step": 6900
877
+ },
878
+ {
879
+ "epoch": 3.09,
880
+ "learning_rate": 0.00018791648156374946,
881
+ "loss": 0.5193,
882
+ "step": 6950
883
+ },
884
+ {
885
+ "epoch": 3.11,
886
+ "learning_rate": 0.00018766967767412017,
887
+ "loss": 0.5819,
888
+ "step": 7000
889
+ },
890
+ {
891
+ "epoch": 3.13,
892
+ "learning_rate": 0.00018742287378449086,
893
+ "loss": 0.5787,
894
+ "step": 7050
895
+ },
896
+ {
897
+ "epoch": 3.15,
898
+ "learning_rate": 0.00018717606989486157,
899
+ "loss": 0.5745,
900
+ "step": 7100
901
+ },
902
+ {
903
+ "epoch": 3.18,
904
+ "learning_rate": 0.00018692926600523226,
905
+ "loss": 0.547,
906
+ "step": 7150
907
+ },
908
+ {
909
+ "epoch": 3.2,
910
+ "learning_rate": 0.00018668246211560294,
911
+ "loss": 0.5815,
912
+ "step": 7200
913
+ },
914
+ {
915
+ "epoch": 3.22,
916
+ "learning_rate": 0.00018643565822597363,
917
+ "loss": 0.5959,
918
+ "step": 7250
919
+ },
920
+ {
921
+ "epoch": 3.24,
922
+ "learning_rate": 0.00018618885433634435,
923
+ "loss": 0.592,
924
+ "step": 7300
925
+ },
926
+ {
927
+ "epoch": 3.27,
928
+ "learning_rate": 0.00018594205044671503,
929
+ "loss": 0.5862,
930
+ "step": 7350
931
+ },
932
+ {
933
+ "epoch": 3.29,
934
+ "learning_rate": 0.00018569524655708575,
935
+ "loss": 0.5563,
936
+ "step": 7400
937
+ },
938
+ {
939
+ "epoch": 3.31,
940
+ "learning_rate": 0.00018544844266745643,
941
+ "loss": 0.579,
942
+ "step": 7450
943
+ },
944
+ {
945
+ "epoch": 3.33,
946
+ "learning_rate": 0.00018520163877782715,
947
+ "loss": 0.5721,
948
+ "step": 7500
949
+ },
950
+ {
951
+ "epoch": 3.35,
952
+ "learning_rate": 0.00018495483488819786,
953
+ "loss": 0.5642,
954
+ "step": 7550
955
+ },
956
+ {
957
+ "epoch": 3.38,
958
+ "learning_rate": 0.00018470803099856855,
959
+ "loss": 0.5534,
960
+ "step": 7600
961
+ },
962
+ {
963
+ "epoch": 3.4,
964
+ "learning_rate": 0.00018446122710893926,
965
+ "loss": 0.524,
966
+ "step": 7650
967
+ },
968
+ {
969
+ "epoch": 3.42,
970
+ "learning_rate": 0.00018421442321930995,
971
+ "loss": 0.568,
972
+ "step": 7700
973
+ },
974
+ {
975
+ "epoch": 3.44,
976
+ "learning_rate": 0.00018396761932968066,
977
+ "loss": 0.5789,
978
+ "step": 7750
979
+ },
980
+ {
981
+ "epoch": 3.47,
982
+ "learning_rate": 0.00018372081544005135,
983
+ "loss": 0.5812,
984
+ "step": 7800
985
+ },
986
+ {
987
+ "epoch": 3.49,
988
+ "learning_rate": 0.00018347401155042206,
989
+ "loss": 0.5782,
990
+ "step": 7850
991
+ },
992
+ {
993
+ "epoch": 3.51,
994
+ "learning_rate": 0.00018322720766079272,
995
+ "loss": 0.5679,
996
+ "step": 7900
997
+ },
998
+ {
999
+ "epoch": 3.53,
1000
+ "learning_rate": 0.00018298040377116344,
1001
+ "loss": 0.5817,
1002
+ "step": 7950
1003
+ },
1004
+ {
1005
+ "epoch": 3.55,
1006
+ "learning_rate": 0.00018273359988153412,
1007
+ "loss": 0.5484,
1008
+ "step": 8000
1009
+ },
1010
+ {
1011
+ "epoch": 3.58,
1012
+ "learning_rate": 0.00018248679599190484,
1013
+ "loss": 0.5233,
1014
+ "step": 8050
1015
+ },
1016
+ {
1017
+ "epoch": 3.6,
1018
+ "learning_rate": 0.00018223999210227552,
1019
+ "loss": 0.535,
1020
+ "step": 8100
1021
+ },
1022
+ {
1023
+ "epoch": 3.62,
1024
+ "learning_rate": 0.00018199318821264624,
1025
+ "loss": 0.5825,
1026
+ "step": 8150
1027
+ },
1028
+ {
1029
+ "epoch": 3.64,
1030
+ "learning_rate": 0.00018174638432301695,
1031
+ "loss": 0.5487,
1032
+ "step": 8200
1033
+ },
1034
+ {
1035
+ "epoch": 3.67,
1036
+ "learning_rate": 0.00018149958043338764,
1037
+ "loss": 0.548,
1038
+ "step": 8250
1039
+ },
1040
+ {
1041
+ "epoch": 3.69,
1042
+ "learning_rate": 0.00018125277654375835,
1043
+ "loss": 0.5602,
1044
+ "step": 8300
1045
+ },
1046
+ {
1047
+ "epoch": 3.71,
1048
+ "learning_rate": 0.00018100597265412904,
1049
+ "loss": 0.5478,
1050
+ "step": 8350
1051
+ },
1052
+ {
1053
+ "epoch": 3.73,
1054
+ "learning_rate": 0.00018075916876449975,
1055
+ "loss": 0.5554,
1056
+ "step": 8400
1057
+ },
1058
+ {
1059
+ "epoch": 3.75,
1060
+ "learning_rate": 0.00018051236487487044,
1061
+ "loss": 0.5672,
1062
+ "step": 8450
1063
+ },
1064
+ {
1065
+ "epoch": 3.78,
1066
+ "learning_rate": 0.00018026556098524115,
1067
+ "loss": 0.5194,
1068
+ "step": 8500
1069
+ },
1070
+ {
1071
+ "epoch": 3.8,
1072
+ "learning_rate": 0.00018001875709561184,
1073
+ "loss": 0.5669,
1074
+ "step": 8550
1075
+ },
1076
+ {
1077
+ "epoch": 3.82,
1078
+ "learning_rate": 0.00017977195320598253,
1079
+ "loss": 0.5767,
1080
+ "step": 8600
1081
+ },
1082
+ {
1083
+ "epoch": 3.84,
1084
+ "learning_rate": 0.0001795251493163532,
1085
+ "loss": 0.5537,
1086
+ "step": 8650
1087
+ },
1088
+ {
1089
+ "epoch": 3.86,
1090
+ "learning_rate": 0.00017927834542672393,
1091
+ "loss": 0.5375,
1092
+ "step": 8700
1093
+ },
1094
+ {
1095
+ "epoch": 3.89,
1096
+ "learning_rate": 0.00017903154153709461,
1097
+ "loss": 0.572,
1098
+ "step": 8750
1099
+ },
1100
+ {
1101
+ "epoch": 3.91,
1102
+ "learning_rate": 0.00017878473764746533,
1103
+ "loss": 0.5709,
1104
+ "step": 8800
1105
+ },
1106
+ {
1107
+ "epoch": 3.93,
1108
+ "learning_rate": 0.00017853793375783604,
1109
+ "loss": 0.5643,
1110
+ "step": 8850
1111
+ },
1112
+ {
1113
+ "epoch": 3.95,
1114
+ "learning_rate": 0.00017829112986820673,
1115
+ "loss": 0.544,
1116
+ "step": 8900
1117
+ },
1118
+ {
1119
+ "epoch": 3.98,
1120
+ "learning_rate": 0.00017804432597857744,
1121
+ "loss": 0.5689,
1122
+ "step": 8950
1123
+ },
1124
+ {
1125
+ "epoch": 4.0,
1126
+ "learning_rate": 0.00017779752208894813,
1127
+ "loss": 0.5413,
1128
+ "step": 9000
1129
+ },
1130
+ {
1131
+ "epoch": 4.0,
1132
+ "eval_accuracy": 0.749312671832042,
1133
+ "eval_auc": 0.7988417458585272,
1134
+ "eval_f1": 0.8211164615658998,
1135
+ "eval_loss": 0.5185230374336243,
1136
+ "eval_precision": 0.7175810473815462,
1137
+ "eval_recall": 0.9595664860358483,
1138
+ "eval_runtime": 41.6672,
1139
+ "eval_samples_per_second": 96.023,
1140
+ "eval_steps_per_second": 3.024,
1141
+ "step": 9004
1142
+ }
1143
+ ],
1144
+ "logging_steps": 50,
1145
+ "max_steps": 45020,
1146
+ "num_train_epochs": 20,
1147
+ "save_steps": 500,
1148
+ "total_flos": 1.1160086376335081e+19,
1149
+ "trial_name": null,
1150
+ "trial_params": null
1151
+ }
checkpoint-9004/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:fadef8ae82ce160c2dbbd1209037da399f15640172741b0cda3900283d80d49e
3
+ size 4027
config.json ADDED
@@ -0,0 +1,33 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "KhalfounMehdi/mura_vit_224",
3
+ "_num_labels": 2,
4
+ "architectures": [
5
+ "ViTForImageClassification"
6
+ ],
7
+ "attention_probs_dropout_prob": 0.0,
8
+ "encoder_stride": 16,
9
+ "hidden_act": "gelu",
10
+ "hidden_dropout_prob": 0.0,
11
+ "hidden_size": 768,
12
+ "id2label": {
13
+ "0": "abnormal",
14
+ "1": "normal"
15
+ },
16
+ "image_size": 224,
17
+ "initializer_range": 0.02,
18
+ "intermediate_size": 3072,
19
+ "label2id": {
20
+ "abnormal": 0,
21
+ "normal": 1
22
+ },
23
+ "layer_norm_eps": 1e-12,
24
+ "model_type": "vit",
25
+ "num_attention_heads": 12,
26
+ "num_channels": 3,
27
+ "num_hidden_layers": 12,
28
+ "patch_size": 16,
29
+ "problem_type": "single_label_classification",
30
+ "qkv_bias": true,
31
+ "torch_dtype": "float32",
32
+ "transformers_version": "4.33.0.dev0"
33
+ }
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 sha256:2aa275df102c4055478fea67c20c37edd7e84655990d4ee849cbdb9ccc94661d
3
+ size 343268717
runs/Sep02_09-12-58_c3f9c2116fca/events.out.tfevents.1693645986.c3f9c2116fca.859.0 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f020f440cb61a8cd27a02c770ed0b3d0b3b101c08602b20cd5960d8a19f3fae1
3
+ size 4273
runs/Sep02_09-15-13_c3f9c2116fca/events.out.tfevents.1693646116.c3f9c2116fca.896.0 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:130fc610594fc9cdd607b05b520355b800987bbd7b45eb9ecf79abba8af8899f
3
+ size 22507
runs/Sep02_10-08-26_c3f9c2116fca/events.out.tfevents.1693649310.c3f9c2116fca.1017.0 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4a2169c95aa17fca49578fcb5335a975b059cab3bcf51e0ac05343109a635ea7
3
+ size 34890
runs/Sep02_10-08-26_c3f9c2116fca/events.out.tfevents.1693653026.c3f9c2116fca.1017.1 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6792f7f413055a52bcfef66b26b3beba76f91f403beb457f2111e9af0fd334fb
3
+ size 607
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:fadef8ae82ce160c2dbbd1209037da399f15640172741b0cda3900283d80d49e
3
+ size 4027
training_params.json ADDED
@@ -0,0 +1,28 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "data_path": "KhalfounMehdi/mura_dataset_processed_224px_train_val",
3
+ "model_name": "KhalfounMehdi/mura_vit_224",
4
+ "lr": 0.0002,
5
+ "epochs": 20,
6
+ "batch_size": 16,
7
+ "warmup_ratio": 0.1,
8
+ "gradient_accumulation": 1,
9
+ "optimizer": "adamw_torch",
10
+ "scheduler": "linear",
11
+ "weight_decay": 0.0,
12
+ "max_grad_norm": 1.0,
13
+ "seed": 42,
14
+ "train_split": "train",
15
+ "valid_split": "validation",
16
+ "logging_steps": -1,
17
+ "project_name": "mura_vit_224_10ep",
18
+ "auto_find_batch_size": false,
19
+ "fp16": false,
20
+ "save_total_limit": 1,
21
+ "save_strategy": "epoch",
22
+ "token": null,
23
+ "push_to_hub": true,
24
+ "repo_id": "KhalfounMehdi/vit_musculoskeletal_abnormality_detection_mura_224px_16bs_20ep",
25
+ "evaluation_strategy": "epoch",
26
+ "image_column": "image",
27
+ "target_column": "label"
28
+ }