alien2048 commited on
Commit
617f53a
1 Parent(s): bd2533c

Upload folder using huggingface_hub

Browse files
README.md ADDED
@@ -0,0 +1,42 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
+ - autotrain-3b9gd-7t9lc/autotrain-data
15
+ ---
16
+
17
+ # Model Trained Using AutoTrain
18
+
19
+ - Problem type: Image Classification
20
+
21
+ ## Validation Metrics
22
+ loss: 0.0002666182699613273
23
+
24
+ f1_macro: 1.0
25
+
26
+ f1_micro: 1.0
27
+
28
+ f1_weighted: 1.0
29
+
30
+ precision_macro: 1.0
31
+
32
+ precision_micro: 1.0
33
+
34
+ precision_weighted: 1.0
35
+
36
+ recall_macro: 1.0
37
+
38
+ recall_micro: 1.0
39
+
40
+ recall_weighted: 1.0
41
+
42
+ accuracy: 1.0
checkpoint-494/config.json ADDED
@@ -0,0 +1,35 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "google/vit-base-patch16-224",
3
+ "_num_labels": 3,
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": "paper",
14
+ "1": "rock",
15
+ "2": "scissors"
16
+ },
17
+ "image_size": 224,
18
+ "initializer_range": 0.02,
19
+ "intermediate_size": 3072,
20
+ "label2id": {
21
+ "paper": 0,
22
+ "rock": 1,
23
+ "scissors": 2
24
+ },
25
+ "layer_norm_eps": 1e-12,
26
+ "model_type": "vit",
27
+ "num_attention_heads": 12,
28
+ "num_channels": 3,
29
+ "num_hidden_layers": 12,
30
+ "patch_size": 16,
31
+ "problem_type": "single_label_classification",
32
+ "qkv_bias": true,
33
+ "torch_dtype": "float32",
34
+ "transformers_version": "4.39.0"
35
+ }
checkpoint-494/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:50e975fa2899815bd2b1c1592f380ccc9e57f2a202d1fa85037aac37928e8713
3
+ size 343227052
checkpoint-494/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8048094a4dd54565485f3b16a9c01c3f3d6af51987921a71542378c17c691127
3
+ size 686569402
checkpoint-494/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ffcc0ee1f2a3a1d1a059b0a191a439f10a99e759c216fed227f7e4522bec391e
3
+ size 13990
checkpoint-494/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:03b764c62e1310c6c04975d9ffd39413e945f85cc486b1586bfa13a2fc3005d9
3
+ size 1064
checkpoint-494/trainer_state.json ADDED
@@ -0,0 +1,743 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.0002666182699613273,
3
+ "best_model_checkpoint": "autotrain-3b9gd-7t9lc/checkpoint-494",
4
+ "epoch": 2.0,
5
+ "eval_steps": 500,
6
+ "global_step": 494,
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
+ "grad_norm": 8.240466117858887,
14
+ "learning_rate": 3.3333333333333333e-06,
15
+ "loss": 1.1781,
16
+ "step": 5
17
+ },
18
+ {
19
+ "epoch": 0.04,
20
+ "grad_norm": 14.987759590148926,
21
+ "learning_rate": 6.666666666666667e-06,
22
+ "loss": 1.1781,
23
+ "step": 10
24
+ },
25
+ {
26
+ "epoch": 0.06,
27
+ "grad_norm": 8.519774436950684,
28
+ "learning_rate": 1e-05,
29
+ "loss": 1.0057,
30
+ "step": 15
31
+ },
32
+ {
33
+ "epoch": 0.08,
34
+ "grad_norm": 6.639293193817139,
35
+ "learning_rate": 1.3333333333333333e-05,
36
+ "loss": 0.909,
37
+ "step": 20
38
+ },
39
+ {
40
+ "epoch": 0.1,
41
+ "grad_norm": 8.727118492126465,
42
+ "learning_rate": 1.6666666666666667e-05,
43
+ "loss": 0.8319,
44
+ "step": 25
45
+ },
46
+ {
47
+ "epoch": 0.12,
48
+ "grad_norm": 7.4621148109436035,
49
+ "learning_rate": 2e-05,
50
+ "loss": 0.6461,
51
+ "step": 30
52
+ },
53
+ {
54
+ "epoch": 0.14,
55
+ "grad_norm": 6.218155860900879,
56
+ "learning_rate": 2.3333333333333336e-05,
57
+ "loss": 0.5342,
58
+ "step": 35
59
+ },
60
+ {
61
+ "epoch": 0.16,
62
+ "grad_norm": 2.2607550621032715,
63
+ "learning_rate": 2.6666666666666667e-05,
64
+ "loss": 0.3212,
65
+ "step": 40
66
+ },
67
+ {
68
+ "epoch": 0.18,
69
+ "grad_norm": 7.647438049316406,
70
+ "learning_rate": 3e-05,
71
+ "loss": 0.2912,
72
+ "step": 45
73
+ },
74
+ {
75
+ "epoch": 0.2,
76
+ "grad_norm": 3.327169418334961,
77
+ "learning_rate": 3.3333333333333335e-05,
78
+ "loss": 0.1935,
79
+ "step": 50
80
+ },
81
+ {
82
+ "epoch": 0.22,
83
+ "grad_norm": 10.839067459106445,
84
+ "learning_rate": 3.6666666666666666e-05,
85
+ "loss": 0.2682,
86
+ "step": 55
87
+ },
88
+ {
89
+ "epoch": 0.24,
90
+ "grad_norm": 5.581568717956543,
91
+ "learning_rate": 4e-05,
92
+ "loss": 0.3104,
93
+ "step": 60
94
+ },
95
+ {
96
+ "epoch": 0.26,
97
+ "grad_norm": 8.139863967895508,
98
+ "learning_rate": 4.3333333333333334e-05,
99
+ "loss": 0.1683,
100
+ "step": 65
101
+ },
102
+ {
103
+ "epoch": 0.28,
104
+ "grad_norm": 7.741869926452637,
105
+ "learning_rate": 4.666666666666667e-05,
106
+ "loss": 0.4055,
107
+ "step": 70
108
+ },
109
+ {
110
+ "epoch": 0.3,
111
+ "grad_norm": 23.573352813720703,
112
+ "learning_rate": 5e-05,
113
+ "loss": 0.3234,
114
+ "step": 75
115
+ },
116
+ {
117
+ "epoch": 0.32,
118
+ "grad_norm": 8.024917602539062,
119
+ "learning_rate": 4.9624624624624625e-05,
120
+ "loss": 0.5331,
121
+ "step": 80
122
+ },
123
+ {
124
+ "epoch": 0.34,
125
+ "grad_norm": 0.1634410321712494,
126
+ "learning_rate": 4.9249249249249253e-05,
127
+ "loss": 0.0505,
128
+ "step": 85
129
+ },
130
+ {
131
+ "epoch": 0.36,
132
+ "grad_norm": 1.8996868133544922,
133
+ "learning_rate": 4.8873873873873876e-05,
134
+ "loss": 0.1691,
135
+ "step": 90
136
+ },
137
+ {
138
+ "epoch": 0.38,
139
+ "grad_norm": 6.981603622436523,
140
+ "learning_rate": 4.8498498498498504e-05,
141
+ "loss": 0.2798,
142
+ "step": 95
143
+ },
144
+ {
145
+ "epoch": 0.4,
146
+ "grad_norm": 5.159909248352051,
147
+ "learning_rate": 4.812312312312313e-05,
148
+ "loss": 0.2114,
149
+ "step": 100
150
+ },
151
+ {
152
+ "epoch": 0.43,
153
+ "grad_norm": 4.676971435546875,
154
+ "learning_rate": 4.774774774774775e-05,
155
+ "loss": 0.2634,
156
+ "step": 105
157
+ },
158
+ {
159
+ "epoch": 0.45,
160
+ "grad_norm": 6.247714042663574,
161
+ "learning_rate": 4.737237237237238e-05,
162
+ "loss": 0.1426,
163
+ "step": 110
164
+ },
165
+ {
166
+ "epoch": 0.47,
167
+ "grad_norm": 1.8779627084732056,
168
+ "learning_rate": 4.6996996996997e-05,
169
+ "loss": 0.4049,
170
+ "step": 115
171
+ },
172
+ {
173
+ "epoch": 0.49,
174
+ "grad_norm": 0.6359833478927612,
175
+ "learning_rate": 4.662162162162162e-05,
176
+ "loss": 0.0321,
177
+ "step": 120
178
+ },
179
+ {
180
+ "epoch": 0.51,
181
+ "grad_norm": 0.4598715007305145,
182
+ "learning_rate": 4.624624624624625e-05,
183
+ "loss": 0.0668,
184
+ "step": 125
185
+ },
186
+ {
187
+ "epoch": 0.53,
188
+ "grad_norm": 0.07359237223863602,
189
+ "learning_rate": 4.587087087087087e-05,
190
+ "loss": 0.2143,
191
+ "step": 130
192
+ },
193
+ {
194
+ "epoch": 0.55,
195
+ "grad_norm": 8.209424018859863,
196
+ "learning_rate": 4.54954954954955e-05,
197
+ "loss": 0.1671,
198
+ "step": 135
199
+ },
200
+ {
201
+ "epoch": 0.57,
202
+ "grad_norm": 0.7971270084381104,
203
+ "learning_rate": 4.5120120120120124e-05,
204
+ "loss": 0.2135,
205
+ "step": 140
206
+ },
207
+ {
208
+ "epoch": 0.59,
209
+ "grad_norm": 12.232625961303711,
210
+ "learning_rate": 4.4744744744744746e-05,
211
+ "loss": 0.1478,
212
+ "step": 145
213
+ },
214
+ {
215
+ "epoch": 0.61,
216
+ "grad_norm": 13.341341972351074,
217
+ "learning_rate": 4.4369369369369375e-05,
218
+ "loss": 0.3675,
219
+ "step": 150
220
+ },
221
+ {
222
+ "epoch": 0.63,
223
+ "grad_norm": 22.468730926513672,
224
+ "learning_rate": 4.3993993993994e-05,
225
+ "loss": 0.1616,
226
+ "step": 155
227
+ },
228
+ {
229
+ "epoch": 0.65,
230
+ "grad_norm": 6.675795078277588,
231
+ "learning_rate": 4.3618618618618626e-05,
232
+ "loss": 0.1661,
233
+ "step": 160
234
+ },
235
+ {
236
+ "epoch": 0.67,
237
+ "grad_norm": 1.265025019645691,
238
+ "learning_rate": 4.324324324324325e-05,
239
+ "loss": 0.1427,
240
+ "step": 165
241
+ },
242
+ {
243
+ "epoch": 0.69,
244
+ "grad_norm": 0.23774471879005432,
245
+ "learning_rate": 4.286786786786787e-05,
246
+ "loss": 0.0339,
247
+ "step": 170
248
+ },
249
+ {
250
+ "epoch": 0.71,
251
+ "grad_norm": 9.141915321350098,
252
+ "learning_rate": 4.24924924924925e-05,
253
+ "loss": 0.4787,
254
+ "step": 175
255
+ },
256
+ {
257
+ "epoch": 0.73,
258
+ "grad_norm": 14.628870964050293,
259
+ "learning_rate": 4.2117117117117115e-05,
260
+ "loss": 0.0911,
261
+ "step": 180
262
+ },
263
+ {
264
+ "epoch": 0.75,
265
+ "grad_norm": 8.062237739562988,
266
+ "learning_rate": 4.1741741741741744e-05,
267
+ "loss": 0.0447,
268
+ "step": 185
269
+ },
270
+ {
271
+ "epoch": 0.77,
272
+ "grad_norm": 16.428728103637695,
273
+ "learning_rate": 4.1366366366366366e-05,
274
+ "loss": 0.3648,
275
+ "step": 190
276
+ },
277
+ {
278
+ "epoch": 0.79,
279
+ "grad_norm": 0.037159789353609085,
280
+ "learning_rate": 4.099099099099099e-05,
281
+ "loss": 0.249,
282
+ "step": 195
283
+ },
284
+ {
285
+ "epoch": 0.81,
286
+ "grad_norm": 8.085445404052734,
287
+ "learning_rate": 4.061561561561562e-05,
288
+ "loss": 0.0837,
289
+ "step": 200
290
+ },
291
+ {
292
+ "epoch": 0.83,
293
+ "grad_norm": 2.010667085647583,
294
+ "learning_rate": 4.024024024024024e-05,
295
+ "loss": 0.0347,
296
+ "step": 205
297
+ },
298
+ {
299
+ "epoch": 0.85,
300
+ "grad_norm": 0.7477858662605286,
301
+ "learning_rate": 3.986486486486487e-05,
302
+ "loss": 0.1399,
303
+ "step": 210
304
+ },
305
+ {
306
+ "epoch": 0.87,
307
+ "grad_norm": 7.963656425476074,
308
+ "learning_rate": 3.948948948948949e-05,
309
+ "loss": 0.09,
310
+ "step": 215
311
+ },
312
+ {
313
+ "epoch": 0.89,
314
+ "grad_norm": 0.43208637833595276,
315
+ "learning_rate": 3.911411411411411e-05,
316
+ "loss": 0.1049,
317
+ "step": 220
318
+ },
319
+ {
320
+ "epoch": 0.91,
321
+ "grad_norm": 5.871271133422852,
322
+ "learning_rate": 3.873873873873874e-05,
323
+ "loss": 0.322,
324
+ "step": 225
325
+ },
326
+ {
327
+ "epoch": 0.93,
328
+ "grad_norm": 0.027932079508900642,
329
+ "learning_rate": 3.836336336336336e-05,
330
+ "loss": 0.0024,
331
+ "step": 230
332
+ },
333
+ {
334
+ "epoch": 0.95,
335
+ "grad_norm": 0.017657727003097534,
336
+ "learning_rate": 3.7987987987987985e-05,
337
+ "loss": 0.1332,
338
+ "step": 235
339
+ },
340
+ {
341
+ "epoch": 0.97,
342
+ "grad_norm": 0.7482669949531555,
343
+ "learning_rate": 3.7612612612612614e-05,
344
+ "loss": 0.0361,
345
+ "step": 240
346
+ },
347
+ {
348
+ "epoch": 0.99,
349
+ "grad_norm": 0.05272696912288666,
350
+ "learning_rate": 3.7237237237237236e-05,
351
+ "loss": 0.0071,
352
+ "step": 245
353
+ },
354
+ {
355
+ "epoch": 1.0,
356
+ "eval_accuracy": 0.9954128440366973,
357
+ "eval_f1_macro": 0.9953370832314339,
358
+ "eval_f1_micro": 0.9954128440366973,
359
+ "eval_f1_weighted": 0.9954123953053728,
360
+ "eval_loss": 0.008562826551496983,
361
+ "eval_precision_macro": 0.9954337899543378,
362
+ "eval_precision_micro": 0.9954128440366973,
363
+ "eval_precision_weighted": 0.9954756817896192,
364
+ "eval_recall_macro": 0.9953051643192489,
365
+ "eval_recall_micro": 0.9954128440366973,
366
+ "eval_recall_weighted": 0.9954128440366973,
367
+ "eval_runtime": 61.5673,
368
+ "eval_samples_per_second": 3.541,
369
+ "eval_steps_per_second": 0.227,
370
+ "step": 247
371
+ },
372
+ {
373
+ "epoch": 1.01,
374
+ "grad_norm": 2.773138999938965,
375
+ "learning_rate": 3.6861861861861865e-05,
376
+ "loss": 0.257,
377
+ "step": 250
378
+ },
379
+ {
380
+ "epoch": 1.03,
381
+ "grad_norm": 4.275286674499512,
382
+ "learning_rate": 3.648648648648649e-05,
383
+ "loss": 0.382,
384
+ "step": 255
385
+ },
386
+ {
387
+ "epoch": 1.05,
388
+ "grad_norm": 24.60214614868164,
389
+ "learning_rate": 3.611111111111111e-05,
390
+ "loss": 0.3858,
391
+ "step": 260
392
+ },
393
+ {
394
+ "epoch": 1.07,
395
+ "grad_norm": 8.784448623657227,
396
+ "learning_rate": 3.573573573573574e-05,
397
+ "loss": 0.5298,
398
+ "step": 265
399
+ },
400
+ {
401
+ "epoch": 1.09,
402
+ "grad_norm": 1.1353392601013184,
403
+ "learning_rate": 3.536036036036036e-05,
404
+ "loss": 0.153,
405
+ "step": 270
406
+ },
407
+ {
408
+ "epoch": 1.11,
409
+ "grad_norm": 0.023551814258098602,
410
+ "learning_rate": 3.498498498498499e-05,
411
+ "loss": 0.0052,
412
+ "step": 275
413
+ },
414
+ {
415
+ "epoch": 1.13,
416
+ "grad_norm": 0.15712416172027588,
417
+ "learning_rate": 3.460960960960961e-05,
418
+ "loss": 0.3094,
419
+ "step": 280
420
+ },
421
+ {
422
+ "epoch": 1.15,
423
+ "grad_norm": 0.023001644760370255,
424
+ "learning_rate": 3.4234234234234234e-05,
425
+ "loss": 0.0407,
426
+ "step": 285
427
+ },
428
+ {
429
+ "epoch": 1.17,
430
+ "grad_norm": 0.011525897309184074,
431
+ "learning_rate": 3.385885885885886e-05,
432
+ "loss": 0.0422,
433
+ "step": 290
434
+ },
435
+ {
436
+ "epoch": 1.19,
437
+ "grad_norm": 0.9765132665634155,
438
+ "learning_rate": 3.3483483483483485e-05,
439
+ "loss": 0.1107,
440
+ "step": 295
441
+ },
442
+ {
443
+ "epoch": 1.21,
444
+ "grad_norm": 0.193386971950531,
445
+ "learning_rate": 3.310810810810811e-05,
446
+ "loss": 0.1098,
447
+ "step": 300
448
+ },
449
+ {
450
+ "epoch": 1.23,
451
+ "grad_norm": 0.0348842591047287,
452
+ "learning_rate": 3.2732732732732736e-05,
453
+ "loss": 0.0901,
454
+ "step": 305
455
+ },
456
+ {
457
+ "epoch": 1.26,
458
+ "grad_norm": 0.02413288690149784,
459
+ "learning_rate": 3.235735735735736e-05,
460
+ "loss": 0.0014,
461
+ "step": 310
462
+ },
463
+ {
464
+ "epoch": 1.28,
465
+ "grad_norm": 1.470839023590088,
466
+ "learning_rate": 3.198198198198199e-05,
467
+ "loss": 0.0368,
468
+ "step": 315
469
+ },
470
+ {
471
+ "epoch": 1.3,
472
+ "grad_norm": 0.6575441360473633,
473
+ "learning_rate": 3.160660660660661e-05,
474
+ "loss": 0.3384,
475
+ "step": 320
476
+ },
477
+ {
478
+ "epoch": 1.32,
479
+ "grad_norm": 0.11603262275457382,
480
+ "learning_rate": 3.123123123123123e-05,
481
+ "loss": 0.2287,
482
+ "step": 325
483
+ },
484
+ {
485
+ "epoch": 1.34,
486
+ "grad_norm": 0.09468206018209457,
487
+ "learning_rate": 3.085585585585586e-05,
488
+ "loss": 0.0053,
489
+ "step": 330
490
+ },
491
+ {
492
+ "epoch": 1.36,
493
+ "grad_norm": 0.18447920680046082,
494
+ "learning_rate": 3.0480480480480482e-05,
495
+ "loss": 0.0894,
496
+ "step": 335
497
+ },
498
+ {
499
+ "epoch": 1.38,
500
+ "grad_norm": 22.559310913085938,
501
+ "learning_rate": 3.0105105105105108e-05,
502
+ "loss": 0.2127,
503
+ "step": 340
504
+ },
505
+ {
506
+ "epoch": 1.4,
507
+ "grad_norm": 0.36875221133232117,
508
+ "learning_rate": 2.9729729729729733e-05,
509
+ "loss": 0.0123,
510
+ "step": 345
511
+ },
512
+ {
513
+ "epoch": 1.42,
514
+ "grad_norm": 0.3973434269428253,
515
+ "learning_rate": 2.935435435435436e-05,
516
+ "loss": 0.0268,
517
+ "step": 350
518
+ },
519
+ {
520
+ "epoch": 1.44,
521
+ "grad_norm": 0.054519250988960266,
522
+ "learning_rate": 2.897897897897898e-05,
523
+ "loss": 0.1053,
524
+ "step": 355
525
+ },
526
+ {
527
+ "epoch": 1.46,
528
+ "grad_norm": 5.856131076812744,
529
+ "learning_rate": 2.8603603603603606e-05,
530
+ "loss": 0.105,
531
+ "step": 360
532
+ },
533
+ {
534
+ "epoch": 1.48,
535
+ "grad_norm": 2.6053731441497803,
536
+ "learning_rate": 2.8228228228228232e-05,
537
+ "loss": 0.0072,
538
+ "step": 365
539
+ },
540
+ {
541
+ "epoch": 1.5,
542
+ "grad_norm": 14.849920272827148,
543
+ "learning_rate": 2.7852852852852857e-05,
544
+ "loss": 0.256,
545
+ "step": 370
546
+ },
547
+ {
548
+ "epoch": 1.52,
549
+ "grad_norm": 0.036322303116321564,
550
+ "learning_rate": 2.7477477477477483e-05,
551
+ "loss": 0.1195,
552
+ "step": 375
553
+ },
554
+ {
555
+ "epoch": 1.54,
556
+ "grad_norm": 7.0286431312561035,
557
+ "learning_rate": 2.7102102102102105e-05,
558
+ "loss": 0.2874,
559
+ "step": 380
560
+ },
561
+ {
562
+ "epoch": 1.56,
563
+ "grad_norm": 0.007908895611763,
564
+ "learning_rate": 2.672672672672673e-05,
565
+ "loss": 0.1749,
566
+ "step": 385
567
+ },
568
+ {
569
+ "epoch": 1.58,
570
+ "grad_norm": 0.2694431245326996,
571
+ "learning_rate": 2.635135135135135e-05,
572
+ "loss": 0.0078,
573
+ "step": 390
574
+ },
575
+ {
576
+ "epoch": 1.6,
577
+ "grad_norm": 14.261417388916016,
578
+ "learning_rate": 2.5975975975975975e-05,
579
+ "loss": 0.0251,
580
+ "step": 395
581
+ },
582
+ {
583
+ "epoch": 1.62,
584
+ "grad_norm": 0.8614434003829956,
585
+ "learning_rate": 2.56006006006006e-05,
586
+ "loss": 0.01,
587
+ "step": 400
588
+ },
589
+ {
590
+ "epoch": 1.64,
591
+ "grad_norm": 10.162217140197754,
592
+ "learning_rate": 2.5225225225225222e-05,
593
+ "loss": 0.0645,
594
+ "step": 405
595
+ },
596
+ {
597
+ "epoch": 1.66,
598
+ "grad_norm": 0.010031257756054401,
599
+ "learning_rate": 2.484984984984985e-05,
600
+ "loss": 0.1714,
601
+ "step": 410
602
+ },
603
+ {
604
+ "epoch": 1.68,
605
+ "grad_norm": 1.1147041320800781,
606
+ "learning_rate": 2.4474474474474477e-05,
607
+ "loss": 0.062,
608
+ "step": 415
609
+ },
610
+ {
611
+ "epoch": 1.7,
612
+ "grad_norm": 14.216385841369629,
613
+ "learning_rate": 2.4099099099099102e-05,
614
+ "loss": 0.2521,
615
+ "step": 420
616
+ },
617
+ {
618
+ "epoch": 1.72,
619
+ "grad_norm": 5.073903560638428,
620
+ "learning_rate": 2.3723723723723725e-05,
621
+ "loss": 0.1764,
622
+ "step": 425
623
+ },
624
+ {
625
+ "epoch": 1.74,
626
+ "grad_norm": 0.5860055088996887,
627
+ "learning_rate": 2.334834834834835e-05,
628
+ "loss": 0.0095,
629
+ "step": 430
630
+ },
631
+ {
632
+ "epoch": 1.76,
633
+ "grad_norm": 6.916937828063965,
634
+ "learning_rate": 2.2972972972972976e-05,
635
+ "loss": 0.2236,
636
+ "step": 435
637
+ },
638
+ {
639
+ "epoch": 1.78,
640
+ "grad_norm": 0.4593968689441681,
641
+ "learning_rate": 2.2597597597597598e-05,
642
+ "loss": 0.2062,
643
+ "step": 440
644
+ },
645
+ {
646
+ "epoch": 1.8,
647
+ "grad_norm": 10.855243682861328,
648
+ "learning_rate": 2.2222222222222223e-05,
649
+ "loss": 0.0295,
650
+ "step": 445
651
+ },
652
+ {
653
+ "epoch": 1.82,
654
+ "grad_norm": 8.221331596374512,
655
+ "learning_rate": 2.1846846846846845e-05,
656
+ "loss": 0.2937,
657
+ "step": 450
658
+ },
659
+ {
660
+ "epoch": 1.84,
661
+ "grad_norm": 5.3991265296936035,
662
+ "learning_rate": 2.147147147147147e-05,
663
+ "loss": 0.1518,
664
+ "step": 455
665
+ },
666
+ {
667
+ "epoch": 1.86,
668
+ "grad_norm": 2.2880308628082275,
669
+ "learning_rate": 2.1096096096096096e-05,
670
+ "loss": 0.0107,
671
+ "step": 460
672
+ },
673
+ {
674
+ "epoch": 1.88,
675
+ "grad_norm": 0.38851749897003174,
676
+ "learning_rate": 2.0720720720720722e-05,
677
+ "loss": 0.0047,
678
+ "step": 465
679
+ },
680
+ {
681
+ "epoch": 1.9,
682
+ "grad_norm": 0.007677082903683186,
683
+ "learning_rate": 2.0345345345345344e-05,
684
+ "loss": 0.1443,
685
+ "step": 470
686
+ },
687
+ {
688
+ "epoch": 1.92,
689
+ "grad_norm": 0.004121085163205862,
690
+ "learning_rate": 1.996996996996997e-05,
691
+ "loss": 0.0866,
692
+ "step": 475
693
+ },
694
+ {
695
+ "epoch": 1.94,
696
+ "grad_norm": 4.384052276611328,
697
+ "learning_rate": 1.9594594594594595e-05,
698
+ "loss": 0.1988,
699
+ "step": 480
700
+ },
701
+ {
702
+ "epoch": 1.96,
703
+ "grad_norm": 13.786602973937988,
704
+ "learning_rate": 1.921921921921922e-05,
705
+ "loss": 0.2474,
706
+ "step": 485
707
+ },
708
+ {
709
+ "epoch": 1.98,
710
+ "grad_norm": 0.005240537691861391,
711
+ "learning_rate": 1.8843843843843846e-05,
712
+ "loss": 0.0088,
713
+ "step": 490
714
+ },
715
+ {
716
+ "epoch": 2.0,
717
+ "eval_accuracy": 1.0,
718
+ "eval_f1_macro": 1.0,
719
+ "eval_f1_micro": 1.0,
720
+ "eval_f1_weighted": 1.0,
721
+ "eval_loss": 0.0002666182699613273,
722
+ "eval_precision_macro": 1.0,
723
+ "eval_precision_micro": 1.0,
724
+ "eval_precision_weighted": 1.0,
725
+ "eval_recall_macro": 1.0,
726
+ "eval_recall_micro": 1.0,
727
+ "eval_recall_weighted": 1.0,
728
+ "eval_runtime": 57.4601,
729
+ "eval_samples_per_second": 3.794,
730
+ "eval_steps_per_second": 0.244,
731
+ "step": 494
732
+ }
733
+ ],
734
+ "logging_steps": 5,
735
+ "max_steps": 741,
736
+ "num_input_tokens_seen": 0,
737
+ "num_train_epochs": 3,
738
+ "save_steps": 500,
739
+ "total_flos": 3.0532117555408896e+17,
740
+ "train_batch_size": 8,
741
+ "trial_name": null,
742
+ "trial_params": null
743
+ }
checkpoint-494/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:eba6754d811577f53c39320d7cd3739ba0da6d17008290fce51faa263bf7ee4c
3
+ size 4920
config.json ADDED
@@ -0,0 +1,35 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "google/vit-base-patch16-224",
3
+ "_num_labels": 3,
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": "paper",
14
+ "1": "rock",
15
+ "2": "scissors"
16
+ },
17
+ "image_size": 224,
18
+ "initializer_range": 0.02,
19
+ "intermediate_size": 3072,
20
+ "label2id": {
21
+ "paper": 0,
22
+ "rock": 1,
23
+ "scissors": 2
24
+ },
25
+ "layer_norm_eps": 1e-12,
26
+ "model_type": "vit",
27
+ "num_attention_heads": 12,
28
+ "num_channels": 3,
29
+ "num_hidden_layers": 12,
30
+ "patch_size": 16,
31
+ "problem_type": "single_label_classification",
32
+ "qkv_bias": true,
33
+ "torch_dtype": "float32",
34
+ "transformers_version": "4.39.0"
35
+ }
model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:50e975fa2899815bd2b1c1592f380ccc9e57f2a202d1fa85037aac37928e8713
3
+ size 343227052
preprocessor_config.json ADDED
@@ -0,0 +1,36 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_valid_processor_keys": [
3
+ "images",
4
+ "do_resize",
5
+ "size",
6
+ "resample",
7
+ "do_rescale",
8
+ "rescale_factor",
9
+ "do_normalize",
10
+ "image_mean",
11
+ "image_std",
12
+ "return_tensors",
13
+ "data_format",
14
+ "input_data_format"
15
+ ],
16
+ "do_normalize": true,
17
+ "do_rescale": true,
18
+ "do_resize": true,
19
+ "image_mean": [
20
+ 0.5,
21
+ 0.5,
22
+ 0.5
23
+ ],
24
+ "image_processor_type": "ViTImageProcessor",
25
+ "image_std": [
26
+ 0.5,
27
+ 0.5,
28
+ 0.5
29
+ ],
30
+ "resample": 2,
31
+ "rescale_factor": 0.00392156862745098,
32
+ "size": {
33
+ "height": 224,
34
+ "width": 224
35
+ }
36
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:eba6754d811577f53c39320d7cd3739ba0da6d17008290fce51faa263bf7ee4c
3
+ size 4920
training_params.json ADDED
@@ -0,0 +1,29 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "data_path": "autotrain-3b9gd-7t9lc/autotrain-data",
3
+ "model": "google/vit-base-patch16-224",
4
+ "username": "alien2048",
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-3b9gd-7t9lc",
19
+ "auto_find_batch_size": false,
20
+ "mixed_precision": null,
21
+ "save_total_limit": 1,
22
+ "save_strategy": "epoch",
23
+ "push_to_hub": true,
24
+ "repo_id": "alien2048/autotrain-3b9gd-7t9lc",
25
+ "evaluation_strategy": "epoch",
26
+ "image_column": "autotrain_image",
27
+ "target_column": "autotrain_label",
28
+ "log": "none"
29
+ }