mansee commited on
Commit
173e935
1 Parent(s): 7d7da7c

End of training

Browse files
README.md CHANGED
@@ -22,7 +22,7 @@ model-index:
22
  metrics:
23
  - name: Accuracy
24
  type: accuracy
25
- value: 0.9686411149825784
26
  ---
27
 
28
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +32,8 @@ should probably proofread and complete it, then remove this comment. -->
32
 
33
  This model is a fine-tuned version of [100rab25/swin-tiny-patch4-window7-224-spa_saloon_classification](https://huggingface.co/100rab25/swin-tiny-patch4-window7-224-spa_saloon_classification) on the imagefolder dataset.
34
  It achieves the following results on the evaluation set:
35
- - Loss: 0.0982
36
- - Accuracy: 0.9686
37
 
38
  ## Model description
39
 
 
22
  metrics:
23
  - name: Accuracy
24
  type: accuracy
25
+ value: 0.9825783972125436
26
  ---
27
 
28
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
32
 
33
  This model is a fine-tuned version of [100rab25/swin-tiny-patch4-window7-224-spa_saloon_classification](https://huggingface.co/100rab25/swin-tiny-patch4-window7-224-spa_saloon_classification) on the imagefolder dataset.
34
  It achieves the following results on the evaluation set:
35
+ - Loss: 0.0797
36
+ - Accuracy: 0.9826
37
 
38
  ## Model description
39
 
all_results.json ADDED
@@ -0,0 +1,13 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 9.88,
3
+ "eval_accuracy": 0.9825783972125436,
4
+ "eval_loss": 0.07965687662363052,
5
+ "eval_runtime": 1.9325,
6
+ "eval_samples_per_second": 148.513,
7
+ "eval_steps_per_second": 4.657,
8
+ "total_flos": 6.325810471729889e+17,
9
+ "train_loss": 0.1487744191288948,
10
+ "train_runtime": 421.2195,
11
+ "train_samples_per_second": 61.132,
12
+ "train_steps_per_second": 0.475
13
+ }
eval_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 9.88,
3
+ "eval_accuracy": 0.9825783972125436,
4
+ "eval_loss": 0.07965687662363052,
5
+ "eval_runtime": 1.9325,
6
+ "eval_samples_per_second": 148.513,
7
+ "eval_steps_per_second": 4.657
8
+ }
runs/Nov24_10-15-30_4981a2ded6dd/events.out.tfevents.1700821377.4981a2ded6dd.1909.1 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:303c263a6acc42e1b271c49181fc500cc8fe8d33524e79b5d2716a4cecf4d1d0
3
+ size 411
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 9.88,
3
+ "total_flos": 6.325810471729889e+17,
4
+ "train_loss": 0.1487744191288948,
5
+ "train_runtime": 421.2195,
6
+ "train_samples_per_second": 61.132,
7
+ "train_steps_per_second": 0.475
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,358 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.9825783972125436,
3
+ "best_model_checkpoint": "swin-tiny-patch4-window7-224-spa_saloon_classification-spa-saloon/checkpoint-101",
4
+ "epoch": 9.876543209876543,
5
+ "eval_steps": 500,
6
+ "global_step": 200,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.25,
13
+ "learning_rate": 1.25e-05,
14
+ "loss": 0.3456,
15
+ "step": 5
16
+ },
17
+ {
18
+ "epoch": 0.49,
19
+ "learning_rate": 2.5e-05,
20
+ "loss": 0.2937,
21
+ "step": 10
22
+ },
23
+ {
24
+ "epoch": 0.74,
25
+ "learning_rate": 3.7500000000000003e-05,
26
+ "loss": 0.3306,
27
+ "step": 15
28
+ },
29
+ {
30
+ "epoch": 0.99,
31
+ "learning_rate": 5e-05,
32
+ "loss": 0.2585,
33
+ "step": 20
34
+ },
35
+ {
36
+ "epoch": 0.99,
37
+ "eval_accuracy": 0.9407665505226481,
38
+ "eval_loss": 0.16160520911216736,
39
+ "eval_runtime": 1.8112,
40
+ "eval_samples_per_second": 158.456,
41
+ "eval_steps_per_second": 4.969,
42
+ "step": 20
43
+ },
44
+ {
45
+ "epoch": 1.23,
46
+ "learning_rate": 4.8611111111111115e-05,
47
+ "loss": 0.2229,
48
+ "step": 25
49
+ },
50
+ {
51
+ "epoch": 1.48,
52
+ "learning_rate": 4.722222222222222e-05,
53
+ "loss": 0.2354,
54
+ "step": 30
55
+ },
56
+ {
57
+ "epoch": 1.73,
58
+ "learning_rate": 4.5833333333333334e-05,
59
+ "loss": 0.1735,
60
+ "step": 35
61
+ },
62
+ {
63
+ "epoch": 1.98,
64
+ "learning_rate": 4.4444444444444447e-05,
65
+ "loss": 0.2042,
66
+ "step": 40
67
+ },
68
+ {
69
+ "epoch": 1.98,
70
+ "eval_accuracy": 0.9337979094076655,
71
+ "eval_loss": 0.2162116914987564,
72
+ "eval_runtime": 1.8419,
73
+ "eval_samples_per_second": 155.818,
74
+ "eval_steps_per_second": 4.886,
75
+ "step": 40
76
+ },
77
+ {
78
+ "epoch": 2.22,
79
+ "learning_rate": 4.305555555555556e-05,
80
+ "loss": 0.2087,
81
+ "step": 45
82
+ },
83
+ {
84
+ "epoch": 2.47,
85
+ "learning_rate": 4.166666666666667e-05,
86
+ "loss": 0.1561,
87
+ "step": 50
88
+ },
89
+ {
90
+ "epoch": 2.72,
91
+ "learning_rate": 4.027777777777778e-05,
92
+ "loss": 0.1463,
93
+ "step": 55
94
+ },
95
+ {
96
+ "epoch": 2.96,
97
+ "learning_rate": 3.888888888888889e-05,
98
+ "loss": 0.1464,
99
+ "step": 60
100
+ },
101
+ {
102
+ "epoch": 2.96,
103
+ "eval_accuracy": 0.9721254355400697,
104
+ "eval_loss": 0.10012032091617584,
105
+ "eval_runtime": 1.9543,
106
+ "eval_samples_per_second": 146.855,
107
+ "eval_steps_per_second": 4.605,
108
+ "step": 60
109
+ },
110
+ {
111
+ "epoch": 3.21,
112
+ "learning_rate": 3.7500000000000003e-05,
113
+ "loss": 0.1456,
114
+ "step": 65
115
+ },
116
+ {
117
+ "epoch": 3.46,
118
+ "learning_rate": 3.611111111111111e-05,
119
+ "loss": 0.1674,
120
+ "step": 70
121
+ },
122
+ {
123
+ "epoch": 3.7,
124
+ "learning_rate": 3.472222222222222e-05,
125
+ "loss": 0.1502,
126
+ "step": 75
127
+ },
128
+ {
129
+ "epoch": 3.95,
130
+ "learning_rate": 3.3333333333333335e-05,
131
+ "loss": 0.1621,
132
+ "step": 80
133
+ },
134
+ {
135
+ "epoch": 4.0,
136
+ "eval_accuracy": 0.9790940766550522,
137
+ "eval_loss": 0.09151919186115265,
138
+ "eval_runtime": 1.8539,
139
+ "eval_samples_per_second": 154.81,
140
+ "eval_steps_per_second": 4.855,
141
+ "step": 81
142
+ },
143
+ {
144
+ "epoch": 4.2,
145
+ "learning_rate": 3.194444444444444e-05,
146
+ "loss": 0.1445,
147
+ "step": 85
148
+ },
149
+ {
150
+ "epoch": 4.44,
151
+ "learning_rate": 3.055555555555556e-05,
152
+ "loss": 0.1356,
153
+ "step": 90
154
+ },
155
+ {
156
+ "epoch": 4.69,
157
+ "learning_rate": 2.916666666666667e-05,
158
+ "loss": 0.1197,
159
+ "step": 95
160
+ },
161
+ {
162
+ "epoch": 4.94,
163
+ "learning_rate": 2.777777777777778e-05,
164
+ "loss": 0.1469,
165
+ "step": 100
166
+ },
167
+ {
168
+ "epoch": 4.99,
169
+ "eval_accuracy": 0.9825783972125436,
170
+ "eval_loss": 0.07965687662363052,
171
+ "eval_runtime": 2.379,
172
+ "eval_samples_per_second": 120.638,
173
+ "eval_steps_per_second": 3.783,
174
+ "step": 101
175
+ },
176
+ {
177
+ "epoch": 5.19,
178
+ "learning_rate": 2.6388888888888892e-05,
179
+ "loss": 0.1085,
180
+ "step": 105
181
+ },
182
+ {
183
+ "epoch": 5.43,
184
+ "learning_rate": 2.5e-05,
185
+ "loss": 0.1257,
186
+ "step": 110
187
+ },
188
+ {
189
+ "epoch": 5.68,
190
+ "learning_rate": 2.361111111111111e-05,
191
+ "loss": 0.1157,
192
+ "step": 115
193
+ },
194
+ {
195
+ "epoch": 5.93,
196
+ "learning_rate": 2.2222222222222223e-05,
197
+ "loss": 0.1272,
198
+ "step": 120
199
+ },
200
+ {
201
+ "epoch": 5.98,
202
+ "eval_accuracy": 0.975609756097561,
203
+ "eval_loss": 0.07534805685281754,
204
+ "eval_runtime": 1.8754,
205
+ "eval_samples_per_second": 153.031,
206
+ "eval_steps_per_second": 4.799,
207
+ "step": 121
208
+ },
209
+ {
210
+ "epoch": 6.17,
211
+ "learning_rate": 2.0833333333333336e-05,
212
+ "loss": 0.093,
213
+ "step": 125
214
+ },
215
+ {
216
+ "epoch": 6.42,
217
+ "learning_rate": 1.9444444444444445e-05,
218
+ "loss": 0.0924,
219
+ "step": 130
220
+ },
221
+ {
222
+ "epoch": 6.67,
223
+ "learning_rate": 1.8055555555555555e-05,
224
+ "loss": 0.1556,
225
+ "step": 135
226
+ },
227
+ {
228
+ "epoch": 6.91,
229
+ "learning_rate": 1.6666666666666667e-05,
230
+ "loss": 0.0985,
231
+ "step": 140
232
+ },
233
+ {
234
+ "epoch": 6.96,
235
+ "eval_accuracy": 0.9790940766550522,
236
+ "eval_loss": 0.08600831031799316,
237
+ "eval_runtime": 2.1983,
238
+ "eval_samples_per_second": 130.553,
239
+ "eval_steps_per_second": 4.094,
240
+ "step": 141
241
+ },
242
+ {
243
+ "epoch": 7.16,
244
+ "learning_rate": 1.527777777777778e-05,
245
+ "loss": 0.1133,
246
+ "step": 145
247
+ },
248
+ {
249
+ "epoch": 7.41,
250
+ "learning_rate": 1.388888888888889e-05,
251
+ "loss": 0.0928,
252
+ "step": 150
253
+ },
254
+ {
255
+ "epoch": 7.65,
256
+ "learning_rate": 1.25e-05,
257
+ "loss": 0.0923,
258
+ "step": 155
259
+ },
260
+ {
261
+ "epoch": 7.9,
262
+ "learning_rate": 1.1111111111111112e-05,
263
+ "loss": 0.1013,
264
+ "step": 160
265
+ },
266
+ {
267
+ "epoch": 8.0,
268
+ "eval_accuracy": 0.9651567944250871,
269
+ "eval_loss": 0.11782138049602509,
270
+ "eval_runtime": 1.8695,
271
+ "eval_samples_per_second": 153.521,
272
+ "eval_steps_per_second": 4.814,
273
+ "step": 162
274
+ },
275
+ {
276
+ "epoch": 8.15,
277
+ "learning_rate": 9.722222222222223e-06,
278
+ "loss": 0.1086,
279
+ "step": 165
280
+ },
281
+ {
282
+ "epoch": 8.4,
283
+ "learning_rate": 8.333333333333334e-06,
284
+ "loss": 0.1161,
285
+ "step": 170
286
+ },
287
+ {
288
+ "epoch": 8.64,
289
+ "learning_rate": 6.944444444444445e-06,
290
+ "loss": 0.0612,
291
+ "step": 175
292
+ },
293
+ {
294
+ "epoch": 8.89,
295
+ "learning_rate": 5.555555555555556e-06,
296
+ "loss": 0.111,
297
+ "step": 180
298
+ },
299
+ {
300
+ "epoch": 8.99,
301
+ "eval_accuracy": 0.9651567944250871,
302
+ "eval_loss": 0.10362739115953445,
303
+ "eval_runtime": 2.1015,
304
+ "eval_samples_per_second": 136.567,
305
+ "eval_steps_per_second": 4.283,
306
+ "step": 182
307
+ },
308
+ {
309
+ "epoch": 9.14,
310
+ "learning_rate": 4.166666666666667e-06,
311
+ "loss": 0.1008,
312
+ "step": 185
313
+ },
314
+ {
315
+ "epoch": 9.38,
316
+ "learning_rate": 2.777777777777778e-06,
317
+ "loss": 0.1,
318
+ "step": 190
319
+ },
320
+ {
321
+ "epoch": 9.63,
322
+ "learning_rate": 1.388888888888889e-06,
323
+ "loss": 0.0694,
324
+ "step": 195
325
+ },
326
+ {
327
+ "epoch": 9.88,
328
+ "learning_rate": 0.0,
329
+ "loss": 0.0737,
330
+ "step": 200
331
+ },
332
+ {
333
+ "epoch": 9.88,
334
+ "eval_accuracy": 0.9686411149825784,
335
+ "eval_loss": 0.09821867197751999,
336
+ "eval_runtime": 1.893,
337
+ "eval_samples_per_second": 151.615,
338
+ "eval_steps_per_second": 4.754,
339
+ "step": 200
340
+ },
341
+ {
342
+ "epoch": 9.88,
343
+ "step": 200,
344
+ "total_flos": 6.325810471729889e+17,
345
+ "train_loss": 0.1487744191288948,
346
+ "train_runtime": 421.2195,
347
+ "train_samples_per_second": 61.132,
348
+ "train_steps_per_second": 0.475
349
+ }
350
+ ],
351
+ "logging_steps": 5,
352
+ "max_steps": 200,
353
+ "num_train_epochs": 10,
354
+ "save_steps": 500,
355
+ "total_flos": 6.325810471729889e+17,
356
+ "trial_name": null,
357
+ "trial_params": null
358
+ }