ppicazo commited on
Commit
ffadd78
·
verified ·
1 Parent(s): b747f91

Upload folder using huggingface_hub

Browse files
README.md ADDED
@@ -0,0 +1,31 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+
2
+ ---
3
+ tags:
4
+ - autotrain
5
+ - image-classification
6
+ base_model: microsoft/resnet-50
7
+ widget:
8
+ - src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg
9
+ example_title: Tiger
10
+ - src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/teapot.jpg
11
+ example_title: Teapot
12
+ - src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/palace.jpg
13
+ example_title: Palace
14
+ ---
15
+
16
+ # Model Trained Using AutoTrain
17
+
18
+ - Problem type: Image Classification
19
+
20
+ ## Validation Metrics
21
+ loss: 0.34585341811180115
22
+
23
+ f1: 1.0
24
+
25
+ precision: 1.0
26
+
27
+ recall: 1.0
28
+
29
+ auc: 1.0
30
+
31
+ accuracy: 1.0
checkpoint-336/config.json ADDED
@@ -0,0 +1,50 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "microsoft/resnet-50",
3
+ "_num_labels": 2,
4
+ "architectures": [
5
+ "ResNetForImageClassification"
6
+ ],
7
+ "depths": [
8
+ 3,
9
+ 4,
10
+ 6,
11
+ 3
12
+ ],
13
+ "downsample_in_bottleneck": false,
14
+ "downsample_in_first_stage": false,
15
+ "embedding_size": 64,
16
+ "hidden_act": "relu",
17
+ "hidden_sizes": [
18
+ 256,
19
+ 512,
20
+ 1024,
21
+ 2048
22
+ ],
23
+ "id2label": {
24
+ "0": "all_open",
25
+ "1": "closed"
26
+ },
27
+ "label2id": {
28
+ "all_open": 0,
29
+ "closed": 1
30
+ },
31
+ "layer_type": "bottleneck",
32
+ "model_type": "resnet",
33
+ "num_channels": 3,
34
+ "out_features": [
35
+ "stage4"
36
+ ],
37
+ "out_indices": [
38
+ 4
39
+ ],
40
+ "problem_type": "single_label_classification",
41
+ "stage_names": [
42
+ "stem",
43
+ "stage1",
44
+ "stage2",
45
+ "stage3",
46
+ "stage4"
47
+ ],
48
+ "torch_dtype": "float32",
49
+ "transformers_version": "4.45.0"
50
+ }
checkpoint-336/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:168b2d3860a35cc01cb2dfaace591de14f5af37277a9a98e1eeebdf07dc16f74
3
+ size 94302952
checkpoint-336/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:104e19d9f99445712900a890500498f528e42daa86eb01accb17810a58e8c2a4
3
+ size 188228026
checkpoint-336/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:cfaa175ac775847c85d2836b90d20c0d46f3a2b19f45af48d257d99ac422350f
3
+ size 13990
checkpoint-336/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f164eaea07075017755fea0141272a54822cc1f76601a88b4d02a9d51eb804a9
3
+ size 1064
checkpoint-336/trainer_state.json ADDED
@@ -0,0 +1,550 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.34585341811180115,
3
+ "best_model_checkpoint": "autotrain-0yzpi-nispt/checkpoint-336",
4
+ "epoch": 3.0,
5
+ "eval_steps": 500,
6
+ "global_step": 336,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.044642857142857144,
13
+ "grad_norm": 2.400191068649292,
14
+ "learning_rate": 7.3529411764705884e-06,
15
+ "loss": 0.6787,
16
+ "step": 5
17
+ },
18
+ {
19
+ "epoch": 0.08928571428571429,
20
+ "grad_norm": 2.9216482639312744,
21
+ "learning_rate": 1.4705882352941177e-05,
22
+ "loss": 0.6708,
23
+ "step": 10
24
+ },
25
+ {
26
+ "epoch": 0.13392857142857142,
27
+ "grad_norm": 1.939755916595459,
28
+ "learning_rate": 2.2058823529411766e-05,
29
+ "loss": 0.6766,
30
+ "step": 15
31
+ },
32
+ {
33
+ "epoch": 0.17857142857142858,
34
+ "grad_norm": 2.358793020248413,
35
+ "learning_rate": 2.9411764705882354e-05,
36
+ "loss": 0.6684,
37
+ "step": 20
38
+ },
39
+ {
40
+ "epoch": 0.22321428571428573,
41
+ "grad_norm": 2.3081040382385254,
42
+ "learning_rate": 3.6764705882352945e-05,
43
+ "loss": 0.6609,
44
+ "step": 25
45
+ },
46
+ {
47
+ "epoch": 0.26785714285714285,
48
+ "grad_norm": 2.936361789703369,
49
+ "learning_rate": 4.411764705882353e-05,
50
+ "loss": 0.6637,
51
+ "step": 30
52
+ },
53
+ {
54
+ "epoch": 0.3125,
55
+ "grad_norm": 2.354739189147949,
56
+ "learning_rate": 4.983443708609272e-05,
57
+ "loss": 0.6573,
58
+ "step": 35
59
+ },
60
+ {
61
+ "epoch": 0.35714285714285715,
62
+ "grad_norm": 5.774534225463867,
63
+ "learning_rate": 4.900662251655629e-05,
64
+ "loss": 0.6276,
65
+ "step": 40
66
+ },
67
+ {
68
+ "epoch": 0.4017857142857143,
69
+ "grad_norm": 4.843446731567383,
70
+ "learning_rate": 4.8178807947019873e-05,
71
+ "loss": 0.634,
72
+ "step": 45
73
+ },
74
+ {
75
+ "epoch": 0.44642857142857145,
76
+ "grad_norm": 3.4707298278808594,
77
+ "learning_rate": 4.735099337748345e-05,
78
+ "loss": 0.617,
79
+ "step": 50
80
+ },
81
+ {
82
+ "epoch": 0.49107142857142855,
83
+ "grad_norm": 3.001131534576416,
84
+ "learning_rate": 4.652317880794702e-05,
85
+ "loss": 0.6182,
86
+ "step": 55
87
+ },
88
+ {
89
+ "epoch": 0.5357142857142857,
90
+ "grad_norm": 1.9551527500152588,
91
+ "learning_rate": 4.56953642384106e-05,
92
+ "loss": 0.5947,
93
+ "step": 60
94
+ },
95
+ {
96
+ "epoch": 0.5803571428571429,
97
+ "grad_norm": 6.980671405792236,
98
+ "learning_rate": 4.4867549668874174e-05,
99
+ "loss": 0.5861,
100
+ "step": 65
101
+ },
102
+ {
103
+ "epoch": 0.625,
104
+ "grad_norm": 1.9368364810943604,
105
+ "learning_rate": 4.403973509933775e-05,
106
+ "loss": 0.6602,
107
+ "step": 70
108
+ },
109
+ {
110
+ "epoch": 0.6696428571428571,
111
+ "grad_norm": 2.446601390838623,
112
+ "learning_rate": 4.321192052980133e-05,
113
+ "loss": 0.585,
114
+ "step": 75
115
+ },
116
+ {
117
+ "epoch": 0.7142857142857143,
118
+ "grad_norm": 2.77004337310791,
119
+ "learning_rate": 4.23841059602649e-05,
120
+ "loss": 0.5792,
121
+ "step": 80
122
+ },
123
+ {
124
+ "epoch": 0.7589285714285714,
125
+ "grad_norm": 3.764974355697632,
126
+ "learning_rate": 4.155629139072848e-05,
127
+ "loss": 0.5539,
128
+ "step": 85
129
+ },
130
+ {
131
+ "epoch": 0.8035714285714286,
132
+ "grad_norm": 2.962620973587036,
133
+ "learning_rate": 4.0728476821192055e-05,
134
+ "loss": 0.5301,
135
+ "step": 90
136
+ },
137
+ {
138
+ "epoch": 0.8482142857142857,
139
+ "grad_norm": 5.1300950050354,
140
+ "learning_rate": 3.990066225165563e-05,
141
+ "loss": 0.5252,
142
+ "step": 95
143
+ },
144
+ {
145
+ "epoch": 0.8928571428571429,
146
+ "grad_norm": 3.4477896690368652,
147
+ "learning_rate": 3.907284768211921e-05,
148
+ "loss": 0.5675,
149
+ "step": 100
150
+ },
151
+ {
152
+ "epoch": 0.9375,
153
+ "grad_norm": 3.3007118701934814,
154
+ "learning_rate": 3.824503311258278e-05,
155
+ "loss": 0.5428,
156
+ "step": 105
157
+ },
158
+ {
159
+ "epoch": 0.9821428571428571,
160
+ "grad_norm": 2.880448818206787,
161
+ "learning_rate": 3.741721854304636e-05,
162
+ "loss": 0.5759,
163
+ "step": 110
164
+ },
165
+ {
166
+ "epoch": 1.0,
167
+ "eval_accuracy": 0.7633928571428571,
168
+ "eval_auc": 0.9996657754010696,
169
+ "eval_f1": 0.5691056910569106,
170
+ "eval_loss": 0.5168261528015137,
171
+ "eval_precision": 1.0,
172
+ "eval_recall": 0.3977272727272727,
173
+ "eval_runtime": 36.7531,
174
+ "eval_samples_per_second": 6.095,
175
+ "eval_steps_per_second": 0.381,
176
+ "step": 112
177
+ },
178
+ {
179
+ "epoch": 1.0267857142857142,
180
+ "grad_norm": 2.420775890350342,
181
+ "learning_rate": 3.6589403973509936e-05,
182
+ "loss": 0.4926,
183
+ "step": 115
184
+ },
185
+ {
186
+ "epoch": 1.0714285714285714,
187
+ "grad_norm": 2.9837262630462646,
188
+ "learning_rate": 3.576158940397351e-05,
189
+ "loss": 0.4957,
190
+ "step": 120
191
+ },
192
+ {
193
+ "epoch": 1.1160714285714286,
194
+ "grad_norm": 2.632317543029785,
195
+ "learning_rate": 3.493377483443709e-05,
196
+ "loss": 0.5231,
197
+ "step": 125
198
+ },
199
+ {
200
+ "epoch": 1.1607142857142858,
201
+ "grad_norm": 2.8133022785186768,
202
+ "learning_rate": 3.410596026490066e-05,
203
+ "loss": 0.4689,
204
+ "step": 130
205
+ },
206
+ {
207
+ "epoch": 1.2053571428571428,
208
+ "grad_norm": 2.1209590435028076,
209
+ "learning_rate": 3.3278145695364236e-05,
210
+ "loss": 0.4988,
211
+ "step": 135
212
+ },
213
+ {
214
+ "epoch": 1.25,
215
+ "grad_norm": 2.708958625793457,
216
+ "learning_rate": 3.2450331125827816e-05,
217
+ "loss": 0.45,
218
+ "step": 140
219
+ },
220
+ {
221
+ "epoch": 1.2946428571428572,
222
+ "grad_norm": 3.0332529544830322,
223
+ "learning_rate": 3.162251655629139e-05,
224
+ "loss": 0.5031,
225
+ "step": 145
226
+ },
227
+ {
228
+ "epoch": 1.3392857142857144,
229
+ "grad_norm": 4.6727728843688965,
230
+ "learning_rate": 3.079470198675497e-05,
231
+ "loss": 0.4597,
232
+ "step": 150
233
+ },
234
+ {
235
+ "epoch": 1.3839285714285714,
236
+ "grad_norm": 3.240464448928833,
237
+ "learning_rate": 2.9966887417218544e-05,
238
+ "loss": 0.4316,
239
+ "step": 155
240
+ },
241
+ {
242
+ "epoch": 1.4285714285714286,
243
+ "grad_norm": 4.0832624435424805,
244
+ "learning_rate": 2.913907284768212e-05,
245
+ "loss": 0.463,
246
+ "step": 160
247
+ },
248
+ {
249
+ "epoch": 1.4732142857142856,
250
+ "grad_norm": 2.571498394012451,
251
+ "learning_rate": 2.8311258278145697e-05,
252
+ "loss": 0.3826,
253
+ "step": 165
254
+ },
255
+ {
256
+ "epoch": 1.5178571428571428,
257
+ "grad_norm": 2.4965615272521973,
258
+ "learning_rate": 2.7483443708609274e-05,
259
+ "loss": 0.5159,
260
+ "step": 170
261
+ },
262
+ {
263
+ "epoch": 1.5625,
264
+ "grad_norm": 3.1017277240753174,
265
+ "learning_rate": 2.6655629139072848e-05,
266
+ "loss": 0.528,
267
+ "step": 175
268
+ },
269
+ {
270
+ "epoch": 1.6071428571428572,
271
+ "grad_norm": 2.041626214981079,
272
+ "learning_rate": 2.5827814569536424e-05,
273
+ "loss": 0.4175,
274
+ "step": 180
275
+ },
276
+ {
277
+ "epoch": 1.6517857142857144,
278
+ "grad_norm": 1.90646493434906,
279
+ "learning_rate": 2.5e-05,
280
+ "loss": 0.4033,
281
+ "step": 185
282
+ },
283
+ {
284
+ "epoch": 1.6964285714285714,
285
+ "grad_norm": 7.794020175933838,
286
+ "learning_rate": 2.4172185430463578e-05,
287
+ "loss": 0.4589,
288
+ "step": 190
289
+ },
290
+ {
291
+ "epoch": 1.7410714285714286,
292
+ "grad_norm": 2.1350088119506836,
293
+ "learning_rate": 2.3344370860927155e-05,
294
+ "loss": 0.3931,
295
+ "step": 195
296
+ },
297
+ {
298
+ "epoch": 1.7857142857142856,
299
+ "grad_norm": 2.379715919494629,
300
+ "learning_rate": 2.2516556291390732e-05,
301
+ "loss": 0.4281,
302
+ "step": 200
303
+ },
304
+ {
305
+ "epoch": 1.8303571428571428,
306
+ "grad_norm": 3.073195457458496,
307
+ "learning_rate": 2.1688741721854305e-05,
308
+ "loss": 0.3899,
309
+ "step": 205
310
+ },
311
+ {
312
+ "epoch": 1.875,
313
+ "grad_norm": 6.1730194091796875,
314
+ "learning_rate": 2.0860927152317882e-05,
315
+ "loss": 0.3459,
316
+ "step": 210
317
+ },
318
+ {
319
+ "epoch": 1.9196428571428572,
320
+ "grad_norm": 3.370842218399048,
321
+ "learning_rate": 2.003311258278146e-05,
322
+ "loss": 0.3785,
323
+ "step": 215
324
+ },
325
+ {
326
+ "epoch": 1.9642857142857144,
327
+ "grad_norm": 4.103713035583496,
328
+ "learning_rate": 1.9205298013245036e-05,
329
+ "loss": 0.3467,
330
+ "step": 220
331
+ },
332
+ {
333
+ "epoch": 2.0,
334
+ "eval_accuracy": 1.0,
335
+ "eval_auc": 1.0,
336
+ "eval_f1": 1.0,
337
+ "eval_loss": 0.3851899802684784,
338
+ "eval_precision": 1.0,
339
+ "eval_recall": 1.0,
340
+ "eval_runtime": 39.3089,
341
+ "eval_samples_per_second": 5.698,
342
+ "eval_steps_per_second": 0.356,
343
+ "step": 224
344
+ },
345
+ {
346
+ "epoch": 2.0089285714285716,
347
+ "grad_norm": 7.625629901885986,
348
+ "learning_rate": 1.837748344370861e-05,
349
+ "loss": 0.4415,
350
+ "step": 225
351
+ },
352
+ {
353
+ "epoch": 2.0535714285714284,
354
+ "grad_norm": 3.9219276905059814,
355
+ "learning_rate": 1.7549668874172186e-05,
356
+ "loss": 0.3794,
357
+ "step": 230
358
+ },
359
+ {
360
+ "epoch": 2.0982142857142856,
361
+ "grad_norm": 3.699428081512451,
362
+ "learning_rate": 1.6721854304635763e-05,
363
+ "loss": 0.4302,
364
+ "step": 235
365
+ },
366
+ {
367
+ "epoch": 2.142857142857143,
368
+ "grad_norm": 2.0596022605895996,
369
+ "learning_rate": 1.589403973509934e-05,
370
+ "loss": 0.357,
371
+ "step": 240
372
+ },
373
+ {
374
+ "epoch": 2.1875,
375
+ "grad_norm": 2.620267391204834,
376
+ "learning_rate": 1.5066225165562913e-05,
377
+ "loss": 0.3493,
378
+ "step": 245
379
+ },
380
+ {
381
+ "epoch": 2.232142857142857,
382
+ "grad_norm": 1.9591487646102905,
383
+ "learning_rate": 1.4238410596026492e-05,
384
+ "loss": 0.4074,
385
+ "step": 250
386
+ },
387
+ {
388
+ "epoch": 2.2767857142857144,
389
+ "grad_norm": 3.017782211303711,
390
+ "learning_rate": 1.3410596026490067e-05,
391
+ "loss": 0.3416,
392
+ "step": 255
393
+ },
394
+ {
395
+ "epoch": 2.3214285714285716,
396
+ "grad_norm": 3.582547903060913,
397
+ "learning_rate": 1.2582781456953644e-05,
398
+ "loss": 0.344,
399
+ "step": 260
400
+ },
401
+ {
402
+ "epoch": 2.3660714285714284,
403
+ "grad_norm": 2.4096081256866455,
404
+ "learning_rate": 1.1754966887417219e-05,
405
+ "loss": 0.36,
406
+ "step": 265
407
+ },
408
+ {
409
+ "epoch": 2.4107142857142856,
410
+ "grad_norm": 5.901338577270508,
411
+ "learning_rate": 1.0927152317880796e-05,
412
+ "loss": 0.5131,
413
+ "step": 270
414
+ },
415
+ {
416
+ "epoch": 2.455357142857143,
417
+ "grad_norm": 1.5993362665176392,
418
+ "learning_rate": 1.0099337748344372e-05,
419
+ "loss": 0.3655,
420
+ "step": 275
421
+ },
422
+ {
423
+ "epoch": 2.5,
424
+ "grad_norm": 2.476508378982544,
425
+ "learning_rate": 9.271523178807948e-06,
426
+ "loss": 0.3621,
427
+ "step": 280
428
+ },
429
+ {
430
+ "epoch": 2.544642857142857,
431
+ "grad_norm": 5.806018352508545,
432
+ "learning_rate": 8.443708609271524e-06,
433
+ "loss": 0.418,
434
+ "step": 285
435
+ },
436
+ {
437
+ "epoch": 2.5892857142857144,
438
+ "grad_norm": 4.1113386154174805,
439
+ "learning_rate": 7.6158940397350995e-06,
440
+ "loss": 0.3432,
441
+ "step": 290
442
+ },
443
+ {
444
+ "epoch": 2.633928571428571,
445
+ "grad_norm": 2.1225271224975586,
446
+ "learning_rate": 6.7880794701986755e-06,
447
+ "loss": 0.3422,
448
+ "step": 295
449
+ },
450
+ {
451
+ "epoch": 2.678571428571429,
452
+ "grad_norm": 6.35394811630249,
453
+ "learning_rate": 5.9602649006622515e-06,
454
+ "loss": 0.482,
455
+ "step": 300
456
+ },
457
+ {
458
+ "epoch": 2.7232142857142856,
459
+ "grad_norm": 2.096707582473755,
460
+ "learning_rate": 5.1324503311258275e-06,
461
+ "loss": 0.3537,
462
+ "step": 305
463
+ },
464
+ {
465
+ "epoch": 2.767857142857143,
466
+ "grad_norm": 3.2219088077545166,
467
+ "learning_rate": 4.304635761589404e-06,
468
+ "loss": 0.3337,
469
+ "step": 310
470
+ },
471
+ {
472
+ "epoch": 2.8125,
473
+ "grad_norm": 3.0578222274780273,
474
+ "learning_rate": 3.47682119205298e-06,
475
+ "loss": 0.3487,
476
+ "step": 315
477
+ },
478
+ {
479
+ "epoch": 2.857142857142857,
480
+ "grad_norm": 5.381088733673096,
481
+ "learning_rate": 2.6490066225165563e-06,
482
+ "loss": 0.3562,
483
+ "step": 320
484
+ },
485
+ {
486
+ "epoch": 2.9017857142857144,
487
+ "grad_norm": 5.814616680145264,
488
+ "learning_rate": 1.8211920529801325e-06,
489
+ "loss": 0.3207,
490
+ "step": 325
491
+ },
492
+ {
493
+ "epoch": 2.946428571428571,
494
+ "grad_norm": 1.8385286331176758,
495
+ "learning_rate": 9.933774834437087e-07,
496
+ "loss": 0.317,
497
+ "step": 330
498
+ },
499
+ {
500
+ "epoch": 2.991071428571429,
501
+ "grad_norm": 2.6235721111297607,
502
+ "learning_rate": 1.6556291390728477e-07,
503
+ "loss": 0.3755,
504
+ "step": 335
505
+ },
506
+ {
507
+ "epoch": 3.0,
508
+ "eval_accuracy": 1.0,
509
+ "eval_auc": 1.0,
510
+ "eval_f1": 1.0,
511
+ "eval_loss": 0.34585341811180115,
512
+ "eval_precision": 1.0,
513
+ "eval_recall": 1.0,
514
+ "eval_runtime": 36.22,
515
+ "eval_samples_per_second": 6.184,
516
+ "eval_steps_per_second": 0.387,
517
+ "step": 336
518
+ }
519
+ ],
520
+ "logging_steps": 5,
521
+ "max_steps": 336,
522
+ "num_input_tokens_seen": 0,
523
+ "num_train_epochs": 3,
524
+ "save_steps": 500,
525
+ "stateful_callbacks": {
526
+ "EarlyStoppingCallback": {
527
+ "args": {
528
+ "early_stopping_patience": 5,
529
+ "early_stopping_threshold": 0.01
530
+ },
531
+ "attributes": {
532
+ "early_stopping_patience_counter": 0
533
+ }
534
+ },
535
+ "TrainerControl": {
536
+ "args": {
537
+ "should_epoch_stop": false,
538
+ "should_evaluate": false,
539
+ "should_log": false,
540
+ "should_save": true,
541
+ "should_training_stop": true
542
+ },
543
+ "attributes": {}
544
+ }
545
+ },
546
+ "total_flos": 5.688964578318336e+16,
547
+ "train_batch_size": 8,
548
+ "trial_name": null,
549
+ "trial_params": null
550
+ }
checkpoint-336/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:19d1cdfa41e60753853d99d73c507df8dc2b1ca3317f5068e234632112e54edd
3
+ size 5240
config.json ADDED
@@ -0,0 +1,50 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "microsoft/resnet-50",
3
+ "_num_labels": 2,
4
+ "architectures": [
5
+ "ResNetForImageClassification"
6
+ ],
7
+ "depths": [
8
+ 3,
9
+ 4,
10
+ 6,
11
+ 3
12
+ ],
13
+ "downsample_in_bottleneck": false,
14
+ "downsample_in_first_stage": false,
15
+ "embedding_size": 64,
16
+ "hidden_act": "relu",
17
+ "hidden_sizes": [
18
+ 256,
19
+ 512,
20
+ 1024,
21
+ 2048
22
+ ],
23
+ "id2label": {
24
+ "0": "all_open",
25
+ "1": "closed"
26
+ },
27
+ "label2id": {
28
+ "all_open": 0,
29
+ "closed": 1
30
+ },
31
+ "layer_type": "bottleneck",
32
+ "model_type": "resnet",
33
+ "num_channels": 3,
34
+ "out_features": [
35
+ "stage4"
36
+ ],
37
+ "out_indices": [
38
+ 4
39
+ ],
40
+ "problem_type": "single_label_classification",
41
+ "stage_names": [
42
+ "stem",
43
+ "stage1",
44
+ "stage2",
45
+ "stage3",
46
+ "stage4"
47
+ ],
48
+ "torch_dtype": "float32",
49
+ "transformers_version": "4.45.0"
50
+ }
model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:168b2d3860a35cc01cb2dfaace591de14f5af37277a9a98e1eeebdf07dc16f74
3
+ size 94302952
preprocessor_config.json ADDED
@@ -0,0 +1,22 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "crop_pct": 0.875,
3
+ "do_normalize": true,
4
+ "do_rescale": true,
5
+ "do_resize": true,
6
+ "image_mean": [
7
+ 0.485,
8
+ 0.456,
9
+ 0.406
10
+ ],
11
+ "image_processor_type": "ConvNextImageProcessor",
12
+ "image_std": [
13
+ 0.229,
14
+ 0.224,
15
+ 0.225
16
+ ],
17
+ "resample": 3,
18
+ "rescale_factor": 0.00392156862745098,
19
+ "size": {
20
+ "shortest_edge": 224
21
+ }
22
+ }
runs/Oct18_05-58-48_r-ppicazo-autotrain-advanced-roof1-x0o7ggp7-aa989-43ley/events.out.tfevents.1729231129.r-ppicazo-autotrain-advanced-roof1-x0o7ggp7-aa989-43ley.173.0 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:d404581e04236708da0f95c4b4f90af4ace384e13ca6f7682605dc104c960b31
3
- size 19968
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:72db8987e893e9d2098488f074901a68ce1bdddc31aecd3392912d85c847b475
3
+ size 21052
runs/Oct18_05-58-48_r-ppicazo-autotrain-advanced-roof1-x0o7ggp7-aa989-43ley/events.out.tfevents.1729232436.r-ppicazo-autotrain-advanced-roof1-x0o7ggp7-aa989-43ley.173.1 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:14ff8a882538b5da290f4f4d09f1c758442be09db76bd21be50d0f8d46b00ddf
3
+ size 607
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:19d1cdfa41e60753853d99d73c507df8dc2b1ca3317f5068e234632112e54edd
3
+ size 5240
training_params.json ADDED
@@ -0,0 +1,29 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "data_path": "autotrain-0yzpi-nispt/autotrain-data",
3
+ "model": "microsoft/resnet-50",
4
+ "username": "ppicazo",
5
+ "lr": 5e-05,
6
+ "epochs": 3,
7
+ "batch_size": 8,
8
+ "warmup_ratio": 0.1,
9
+ "gradient_accumulation": 1,
10
+ "optimizer": "adamw_torch",
11
+ "scheduler": "linear",
12
+ "weight_decay": 0.0,
13
+ "max_grad_norm": 1.0,
14
+ "seed": 42,
15
+ "train_split": "train",
16
+ "valid_split": "validation",
17
+ "logging_steps": -1,
18
+ "project_name": "autotrain-0yzpi-nispt",
19
+ "auto_find_batch_size": false,
20
+ "mixed_precision": "fp16",
21
+ "save_total_limit": 1,
22
+ "push_to_hub": true,
23
+ "eval_strategy": "epoch",
24
+ "image_column": "autotrain_image",
25
+ "target_column": "autotrain_label",
26
+ "log": "tensorboard",
27
+ "early_stopping_patience": 5,
28
+ "early_stopping_threshold": 0.01
29
+ }