BTX24 commited on
Commit
6952298
·
verified ·
1 Parent(s): 42b120e

Upload trained model

Browse files
README.md CHANGED
@@ -21,7 +21,7 @@ should probably proofread and complete it, then remove this comment. -->
21
 
22
  This model is a fine-tuned version of [facebook/hiera-base-224-in1k-hf](https://huggingface.co/facebook/hiera-base-224-in1k-hf) on an unknown dataset.
23
  It achieves the following results on the evaluation set:
24
- - Loss: 0.0104
25
  - Accuracy: 0.9951
26
  - F1: 0.9951
27
  - Precision: 0.9951
 
21
 
22
  This model is a fine-tuned version of [facebook/hiera-base-224-in1k-hf](https://huggingface.co/facebook/hiera-base-224-in1k-hf) on an unknown dataset.
23
  It achieves the following results on the evaluation set:
24
+ - Loss: 0.0098
25
  - Accuracy: 0.9951
26
  - F1: 0.9951
27
  - Precision: 0.9951
all_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 12.0,
3
+ "total_flos": 4.018008276329693e+18,
4
+ "train_loss": 0.031628868545311085,
5
+ "train_runtime": 1401.2705,
6
+ "train_samples_per_second": 62.549,
7
+ "train_steps_per_second": 0.985
8
+ }
runs/Jul06_21-04-43_0676c2d2a721/events.out.tfevents.1751837306.0676c2d2a721.299.3 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:21c82c3aa7ae7a7efa49247deb995a1d390f34fdba3750183657c45e790d7559
3
+ size 560
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 12.0,
3
+ "total_flos": 4.018008276329693e+18,
4
+ "train_loss": 0.031628868545311085,
5
+ "train_runtime": 1401.2705,
6
+ "train_samples_per_second": 62.549,
7
+ "train_steps_per_second": 0.985
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,388 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": 500,
3
+ "best_metric": 0.9950738019660021,
4
+ "best_model_checkpoint": "hiera-finetuned-stroke-binary-ultrasound/checkpoint-500",
5
+ "epoch": 12.0,
6
+ "eval_steps": 100,
7
+ "global_step": 1380,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "epoch": 0.437636761487965,
14
+ "grad_norm": 4.08018684387207,
15
+ "learning_rate": 6.811594202898551e-06,
16
+ "loss": 0.0505,
17
+ "step": 50
18
+ },
19
+ {
20
+ "epoch": 0.87527352297593,
21
+ "grad_norm": 0.09228578954935074,
22
+ "learning_rate": 1.4057971014492755e-05,
23
+ "loss": 0.038,
24
+ "step": 100
25
+ },
26
+ {
27
+ "epoch": 0.87527352297593,
28
+ "eval_accuracy": 0.9938423645320197,
29
+ "eval_f1": 0.9938419442238937,
30
+ "eval_loss": 0.018425090238451958,
31
+ "eval_precision": 0.9939169121769106,
32
+ "eval_recall": 0.9938423645320197,
33
+ "eval_runtime": 4.7821,
34
+ "eval_samples_per_second": 169.799,
35
+ "eval_steps_per_second": 21.329,
36
+ "step": 100
37
+ },
38
+ {
39
+ "epoch": 1.3063457330415755,
40
+ "grad_norm": 13.409342765808105,
41
+ "learning_rate": 1.9997952651793994e-05,
42
+ "loss": 0.0537,
43
+ "step": 150
44
+ },
45
+ {
46
+ "epoch": 1.7439824945295404,
47
+ "grad_norm": 4.2889485359191895,
48
+ "learning_rate": 1.9892575474365977e-05,
49
+ "loss": 0.0468,
50
+ "step": 200
51
+ },
52
+ {
53
+ "epoch": 1.7439824945295404,
54
+ "eval_accuracy": 0.9926108374384236,
55
+ "eval_f1": 0.9926101649260403,
56
+ "eval_loss": 0.02063354291021824,
57
+ "eval_precision": 0.9927179267509103,
58
+ "eval_recall": 0.9926108374384236,
59
+ "eval_runtime": 4.2841,
60
+ "eval_samples_per_second": 189.54,
61
+ "eval_steps_per_second": 23.809,
62
+ "step": 200
63
+ },
64
+ {
65
+ "epoch": 2.175054704595186,
66
+ "grad_norm": 27.501617431640625,
67
+ "learning_rate": 1.9629172873477995e-05,
68
+ "loss": 0.055,
69
+ "step": 250
70
+ },
71
+ {
72
+ "epoch": 2.612691466083151,
73
+ "grad_norm": 34.34234619140625,
74
+ "learning_rate": 1.9211952480161382e-05,
75
+ "loss": 0.0445,
76
+ "step": 300
77
+ },
78
+ {
79
+ "epoch": 2.612691466083151,
80
+ "eval_accuracy": 0.9901477832512315,
81
+ "eval_f1": 0.9901478430214063,
82
+ "eval_loss": 0.02250731736421585,
83
+ "eval_precision": 0.9901599165230894,
84
+ "eval_recall": 0.9901477832512315,
85
+ "eval_runtime": 4.3458,
86
+ "eval_samples_per_second": 186.849,
87
+ "eval_steps_per_second": 23.471,
88
+ "step": 300
89
+ },
90
+ {
91
+ "epoch": 3.0437636761487963,
92
+ "grad_norm": 1.1840153932571411,
93
+ "learning_rate": 1.866025403784439e-05,
94
+ "loss": 0.0309,
95
+ "step": 350
96
+ },
97
+ {
98
+ "epoch": 3.4814004376367613,
99
+ "grad_norm": 0.7110581994056702,
100
+ "learning_rate": 1.7960402776569358e-05,
101
+ "loss": 0.0415,
102
+ "step": 400
103
+ },
104
+ {
105
+ "epoch": 3.4814004376367613,
106
+ "eval_accuracy": 0.9889162561576355,
107
+ "eval_f1": 0.9889161721031502,
108
+ "eval_loss": 0.018740125000476837,
109
+ "eval_precision": 0.9889190879070968,
110
+ "eval_recall": 0.9889162561576355,
111
+ "eval_runtime": 4.4065,
112
+ "eval_samples_per_second": 184.274,
113
+ "eval_steps_per_second": 23.148,
114
+ "step": 400
115
+ },
116
+ {
117
+ "epoch": 3.9190371991247264,
118
+ "grad_norm": 44.404239654541016,
119
+ "learning_rate": 1.7133390896410106e-05,
120
+ "loss": 0.034,
121
+ "step": 450
122
+ },
123
+ {
124
+ "epoch": 4.350109409190372,
125
+ "grad_norm": 0.5970667004585266,
126
+ "learning_rate": 1.6192429204088022e-05,
127
+ "loss": 0.0465,
128
+ "step": 500
129
+ },
130
+ {
131
+ "epoch": 4.350109409190372,
132
+ "eval_accuracy": 0.9950738916256158,
133
+ "eval_f1": 0.9950738019660021,
134
+ "eval_loss": 0.009755603037774563,
135
+ "eval_precision": 0.9950857869728612,
136
+ "eval_recall": 0.9950738916256158,
137
+ "eval_runtime": 5.2229,
138
+ "eval_samples_per_second": 155.47,
139
+ "eval_steps_per_second": 19.53,
140
+ "step": 500
141
+ },
142
+ {
143
+ "epoch": 4.787746170678337,
144
+ "grad_norm": 0.04525822028517723,
145
+ "learning_rate": 1.5152548757013183e-05,
146
+ "loss": 0.0284,
147
+ "step": 550
148
+ },
149
+ {
150
+ "epoch": 5.218818380743983,
151
+ "grad_norm": 6.67152214050293,
152
+ "learning_rate": 1.4030360755011423e-05,
153
+ "loss": 0.0397,
154
+ "step": 600
155
+ },
156
+ {
157
+ "epoch": 5.218818380743983,
158
+ "eval_accuracy": 0.9901477832512315,
159
+ "eval_f1": 0.9901463484623846,
160
+ "eval_loss": 0.028631530702114105,
161
+ "eval_precision": 0.9903372489579386,
162
+ "eval_recall": 0.9901477832512315,
163
+ "eval_runtime": 5.1408,
164
+ "eval_samples_per_second": 157.953,
165
+ "eval_steps_per_second": 19.841,
166
+ "step": 600
167
+ },
168
+ {
169
+ "epoch": 5.656455142231947,
170
+ "grad_norm": 2.804370641708374,
171
+ "learning_rate": 1.284379119062912e-05,
172
+ "loss": 0.0334,
173
+ "step": 650
174
+ },
175
+ {
176
+ "epoch": 6.087527352297593,
177
+ "grad_norm": 0.5940968990325928,
178
+ "learning_rate": 1.1611794496750019e-05,
179
+ "loss": 0.0257,
180
+ "step": 700
181
+ },
182
+ {
183
+ "epoch": 6.087527352297593,
184
+ "eval_accuracy": 0.9926108374384236,
185
+ "eval_f1": 0.9926104787847378,
186
+ "eval_loss": 0.01877174898982048,
187
+ "eval_precision": 0.992658305036109,
188
+ "eval_recall": 0.9926108374384236,
189
+ "eval_runtime": 4.3633,
190
+ "eval_samples_per_second": 186.097,
191
+ "eval_steps_per_second": 23.377,
192
+ "step": 700
193
+ },
194
+ {
195
+ "epoch": 6.525164113785558,
196
+ "grad_norm": 6.283336162567139,
197
+ "learning_rate": 1.0354050765758148e-05,
198
+ "loss": 0.0226,
199
+ "step": 750
200
+ },
201
+ {
202
+ "epoch": 6.962800875273523,
203
+ "grad_norm": 0.4039391279220581,
204
+ "learning_rate": 9.090651376911532e-06,
205
+ "loss": 0.0434,
206
+ "step": 800
207
+ },
208
+ {
209
+ "epoch": 6.962800875273523,
210
+ "eval_accuracy": 0.9938423645320197,
211
+ "eval_f1": 0.9938419442238937,
212
+ "eval_loss": 0.02092530019581318,
213
+ "eval_precision": 0.9939169121769106,
214
+ "eval_recall": 0.9938423645320197,
215
+ "eval_runtime": 5.4149,
216
+ "eval_samples_per_second": 149.956,
217
+ "eval_steps_per_second": 18.837,
218
+ "step": 800
219
+ },
220
+ {
221
+ "epoch": 7.393873085339169,
222
+ "grad_norm": 26.558956146240234,
223
+ "learning_rate": 7.841778053760212e-06,
224
+ "loss": 0.0256,
225
+ "step": 850
226
+ },
227
+ {
228
+ "epoch": 7.831509846827133,
229
+ "grad_norm": 1.8528072834014893,
230
+ "learning_rate": 6.627380478391543e-06,
231
+ "loss": 0.0261,
232
+ "step": 900
233
+ },
234
+ {
235
+ "epoch": 7.831509846827133,
236
+ "eval_accuracy": 0.9926108374384236,
237
+ "eval_f1": 0.9926107029490034,
238
+ "eval_loss": 0.015434592962265015,
239
+ "eval_precision": 0.9926226132344405,
240
+ "eval_recall": 0.9926108374384236,
241
+ "eval_runtime": 4.4967,
242
+ "eval_samples_per_second": 180.577,
243
+ "eval_steps_per_second": 22.683,
244
+ "step": 900
245
+ },
246
+ {
247
+ "epoch": 8.262582056892779,
248
+ "grad_norm": 0.028279444202780724,
249
+ "learning_rate": 5.466857612339229e-06,
250
+ "loss": 0.0132,
251
+ "step": 950
252
+ },
253
+ {
254
+ "epoch": 8.700218818380744,
255
+ "grad_norm": 10.328960418701172,
256
+ "learning_rate": 4.378747814781629e-06,
257
+ "loss": 0.0198,
258
+ "step": 1000
259
+ },
260
+ {
261
+ "epoch": 8.700218818380744,
262
+ "eval_accuracy": 0.9950738916256158,
263
+ "eval_f1": 0.9950736525231585,
264
+ "eval_loss": 0.009430773556232452,
265
+ "eval_precision": 0.9951217179205126,
266
+ "eval_recall": 0.9950738916256158,
267
+ "eval_runtime": 5.241,
268
+ "eval_samples_per_second": 154.932,
269
+ "eval_steps_per_second": 19.462,
270
+ "step": 1000
271
+ },
272
+ {
273
+ "epoch": 9.13129102844639,
274
+ "grad_norm": 5.253521919250488,
275
+ "learning_rate": 3.3804327081259304e-06,
276
+ "loss": 0.0244,
277
+ "step": 1050
278
+ },
279
+ {
280
+ "epoch": 9.568927789934355,
281
+ "grad_norm": 0.006149813067167997,
282
+ "learning_rate": 2.4878595214718236e-06,
283
+ "loss": 0.0207,
284
+ "step": 1100
285
+ },
286
+ {
287
+ "epoch": 9.568927789934355,
288
+ "eval_accuracy": 0.9938423645320197,
289
+ "eval_f1": 0.9938421683977477,
290
+ "eval_loss": 0.012234929017722607,
291
+ "eval_precision": 0.9938691081078003,
292
+ "eval_recall": 0.9938423645320197,
293
+ "eval_runtime": 4.3976,
294
+ "eval_samples_per_second": 184.648,
295
+ "eval_steps_per_second": 23.195,
296
+ "step": 1100
297
+ },
298
+ {
299
+ "epoch": 10.0,
300
+ "grad_norm": 0.003324387362226844,
301
+ "learning_rate": 1.7152863472802195e-06,
302
+ "loss": 0.0212,
303
+ "step": 1150
304
+ },
305
+ {
306
+ "epoch": 10.437636761487965,
307
+ "grad_norm": 5.904305934906006,
308
+ "learning_rate": 1.075054380553552e-06,
309
+ "loss": 0.0157,
310
+ "step": 1200
311
+ },
312
+ {
313
+ "epoch": 10.437636761487965,
314
+ "eval_accuracy": 0.9950738916256158,
315
+ "eval_f1": 0.9950736525231585,
316
+ "eval_loss": 0.01014081109315157,
317
+ "eval_precision": 0.9951217179205126,
318
+ "eval_recall": 0.9950738916256158,
319
+ "eval_runtime": 5.4913,
320
+ "eval_samples_per_second": 147.869,
321
+ "eval_steps_per_second": 18.575,
322
+ "step": 1200
323
+ },
324
+ {
325
+ "epoch": 10.87527352297593,
326
+ "grad_norm": 0.6864893436431885,
327
+ "learning_rate": 5.77390778811796e-07,
328
+ "loss": 0.0143,
329
+ "step": 1250
330
+ },
331
+ {
332
+ "epoch": 11.306345733041576,
333
+ "grad_norm": 39.91190719604492,
334
+ "learning_rate": 2.3024529200728952e-07,
335
+ "loss": 0.0188,
336
+ "step": 1300
337
+ },
338
+ {
339
+ "epoch": 11.306345733041576,
340
+ "eval_accuracy": 0.9950738916256158,
341
+ "eval_f1": 0.9950736525231585,
342
+ "eval_loss": 0.010448944754898548,
343
+ "eval_precision": 0.9951217179205126,
344
+ "eval_recall": 0.9950738916256158,
345
+ "eval_runtime": 5.3991,
346
+ "eval_samples_per_second": 150.395,
347
+ "eval_steps_per_second": 18.892,
348
+ "step": 1300
349
+ },
350
+ {
351
+ "epoch": 11.74398249452954,
352
+ "grad_norm": 40.59695816040039,
353
+ "learning_rate": 3.916327207559967e-08,
354
+ "loss": 0.0198,
355
+ "step": 1350
356
+ },
357
+ {
358
+ "epoch": 12.0,
359
+ "step": 1380,
360
+ "total_flos": 4.018008276329693e+18,
361
+ "train_loss": 0.031628868545311085,
362
+ "train_runtime": 1401.2705,
363
+ "train_samples_per_second": 62.549,
364
+ "train_steps_per_second": 0.985
365
+ }
366
+ ],
367
+ "logging_steps": 50,
368
+ "max_steps": 1380,
369
+ "num_input_tokens_seen": 0,
370
+ "num_train_epochs": 12,
371
+ "save_steps": 100,
372
+ "stateful_callbacks": {
373
+ "TrainerControl": {
374
+ "args": {
375
+ "should_epoch_stop": false,
376
+ "should_evaluate": false,
377
+ "should_log": false,
378
+ "should_save": true,
379
+ "should_training_stop": true
380
+ },
381
+ "attributes": {}
382
+ }
383
+ },
384
+ "total_flos": 4.018008276329693e+18,
385
+ "train_batch_size": 16,
386
+ "trial_name": null,
387
+ "trial_params": null
388
+ }