matthieulel commited on
Commit
d675389
1 Parent(s): aa825c6

End of training

Browse files
Files changed (5) hide show
  1. README.md +8 -6
  2. all_results.json +15 -0
  3. eval_results.json +11 -0
  4. train_results.json +7 -0
  5. trainer_state.json +948 -0
README.md CHANGED
@@ -2,6 +2,8 @@
2
  license: apache-2.0
3
  base_model: google/vit-base-patch16-384
4
  tags:
 
 
5
  - generated_from_trainer
6
  metrics:
7
  - accuracy
@@ -18,13 +20,13 @@ should probably proofread and complete it, then remove this comment. -->
18
 
19
  # vit-base-patch16-384-finetuned-galaxy10-decals
20
 
21
- This model is a fine-tuned version of [google/vit-base-patch16-384](https://huggingface.co/google/vit-base-patch16-384) on an unknown dataset.
22
  It achieves the following results on the evaluation set:
23
- - Loss: 0.5571
24
- - Accuracy: 0.8591
25
- - Precision: 0.8571
26
- - Recall: 0.8591
27
- - F1: 0.8564
28
 
29
  ## Model description
30
 
 
2
  license: apache-2.0
3
  base_model: google/vit-base-patch16-384
4
  tags:
5
+ - image-classification
6
+ - vision
7
  - generated_from_trainer
8
  metrics:
9
  - accuracy
 
20
 
21
  # vit-base-patch16-384-finetuned-galaxy10-decals
22
 
23
+ This model is a fine-tuned version of [google/vit-base-patch16-384](https://huggingface.co/google/vit-base-patch16-384) on the matthieulel/galaxy10_decals dataset.
24
  It achieves the following results on the evaluation set:
25
+ - Loss: 0.5422
26
+ - Accuracy: 0.8613
27
+ - Precision: 0.8600
28
+ - Recall: 0.8613
29
+ - F1: 0.8596
30
 
31
  ## Model description
32
 
all_results.json ADDED
@@ -0,0 +1,15 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 29.76,
3
+ "eval_accuracy": 0.8613303269447576,
4
+ "eval_f1": 0.8596444828561277,
5
+ "eval_loss": 0.5422354936599731,
6
+ "eval_precision": 0.8600050951653831,
7
+ "eval_recall": 0.8613303269447576,
8
+ "eval_runtime": 22.2298,
9
+ "eval_samples_per_second": 79.803,
10
+ "eval_steps_per_second": 0.63,
11
+ "train_loss": 0.41153401379944177,
12
+ "train_runtime": 9651.1603,
13
+ "train_samples_per_second": 49.617,
14
+ "train_steps_per_second": 0.096
15
+ }
eval_results.json ADDED
@@ -0,0 +1,11 @@
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 29.76,
3
+ "eval_accuracy": 0.8613303269447576,
4
+ "eval_f1": 0.8596444828561277,
5
+ "eval_loss": 0.5422354936599731,
6
+ "eval_precision": 0.8600050951653831,
7
+ "eval_recall": 0.8613303269447576,
8
+ "eval_runtime": 22.2298,
9
+ "eval_samples_per_second": 79.803,
10
+ "eval_steps_per_second": 0.63
11
+ }
train_results.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 29.76,
3
+ "train_loss": 0.41153401379944177,
4
+ "train_runtime": 9651.1603,
5
+ "train_samples_per_second": 49.617,
6
+ "train_steps_per_second": 0.096
7
+ }
trainer_state.json ADDED
@@ -0,0 +1,948 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.8613303269447576,
3
+ "best_model_checkpoint": "vit-base-patch16-384-finetuned-galaxy10-decals/checkpoint-781",
4
+ "epoch": 29.76,
5
+ "eval_steps": 500,
6
+ "global_step": 930,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.32,
13
+ "learning_rate": 1.0752688172043012e-05,
14
+ "loss": 2.2974,
15
+ "step": 10
16
+ },
17
+ {
18
+ "epoch": 0.64,
19
+ "learning_rate": 2.1505376344086024e-05,
20
+ "loss": 2.0265,
21
+ "step": 20
22
+ },
23
+ {
24
+ "epoch": 0.96,
25
+ "learning_rate": 3.2258064516129034e-05,
26
+ "loss": 1.5894,
27
+ "step": 30
28
+ },
29
+ {
30
+ "epoch": 0.99,
31
+ "eval_accuracy": 0.5744081172491544,
32
+ "eval_f1": 0.5480702796340504,
33
+ "eval_loss": 1.2731903791427612,
34
+ "eval_precision": 0.5408951469363718,
35
+ "eval_recall": 0.5744081172491544,
36
+ "eval_runtime": 21.8126,
37
+ "eval_samples_per_second": 81.329,
38
+ "eval_steps_per_second": 0.642,
39
+ "step": 31
40
+ },
41
+ {
42
+ "epoch": 1.28,
43
+ "learning_rate": 4.301075268817205e-05,
44
+ "loss": 1.2296,
45
+ "step": 40
46
+ },
47
+ {
48
+ "epoch": 1.6,
49
+ "learning_rate": 5.3763440860215054e-05,
50
+ "loss": 0.9378,
51
+ "step": 50
52
+ },
53
+ {
54
+ "epoch": 1.92,
55
+ "learning_rate": 6.451612903225807e-05,
56
+ "loss": 0.8001,
57
+ "step": 60
58
+ },
59
+ {
60
+ "epoch": 1.98,
61
+ "eval_accuracy": 0.7976324689966178,
62
+ "eval_f1": 0.7879640575454192,
63
+ "eval_loss": 0.618441641330719,
64
+ "eval_precision": 0.7933566799249927,
65
+ "eval_recall": 0.7976324689966178,
66
+ "eval_runtime": 22.1643,
67
+ "eval_samples_per_second": 80.039,
68
+ "eval_steps_per_second": 0.632,
69
+ "step": 62
70
+ },
71
+ {
72
+ "epoch": 2.24,
73
+ "learning_rate": 7.526881720430108e-05,
74
+ "loss": 0.742,
75
+ "step": 70
76
+ },
77
+ {
78
+ "epoch": 2.56,
79
+ "learning_rate": 8.60215053763441e-05,
80
+ "loss": 0.6869,
81
+ "step": 80
82
+ },
83
+ {
84
+ "epoch": 2.88,
85
+ "learning_rate": 9.677419354838711e-05,
86
+ "loss": 0.6895,
87
+ "step": 90
88
+ },
89
+ {
90
+ "epoch": 2.98,
91
+ "eval_accuracy": 0.8066516347237881,
92
+ "eval_f1": 0.7955335694474486,
93
+ "eval_loss": 0.5823069214820862,
94
+ "eval_precision": 0.7990571311786572,
95
+ "eval_recall": 0.8066516347237881,
96
+ "eval_runtime": 22.3324,
97
+ "eval_samples_per_second": 79.436,
98
+ "eval_steps_per_second": 0.627,
99
+ "step": 93
100
+ },
101
+ {
102
+ "epoch": 3.2,
103
+ "learning_rate": 9.916367980884111e-05,
104
+ "loss": 0.6689,
105
+ "step": 100
106
+ },
107
+ {
108
+ "epoch": 3.52,
109
+ "learning_rate": 9.79689366786141e-05,
110
+ "loss": 0.6449,
111
+ "step": 110
112
+ },
113
+ {
114
+ "epoch": 3.84,
115
+ "learning_rate": 9.677419354838711e-05,
116
+ "loss": 0.6259,
117
+ "step": 120
118
+ },
119
+ {
120
+ "epoch": 4.0,
121
+ "eval_accuracy": 0.8432919954904171,
122
+ "eval_f1": 0.8367752646524916,
123
+ "eval_loss": 0.49104946851730347,
124
+ "eval_precision": 0.8426702265640142,
125
+ "eval_recall": 0.8432919954904171,
126
+ "eval_runtime": 22.0094,
127
+ "eval_samples_per_second": 80.602,
128
+ "eval_steps_per_second": 0.636,
129
+ "step": 125
130
+ },
131
+ {
132
+ "epoch": 4.16,
133
+ "learning_rate": 9.55794504181601e-05,
134
+ "loss": 0.5898,
135
+ "step": 130
136
+ },
137
+ {
138
+ "epoch": 4.48,
139
+ "learning_rate": 9.438470728793309e-05,
140
+ "loss": 0.5565,
141
+ "step": 140
142
+ },
143
+ {
144
+ "epoch": 4.8,
145
+ "learning_rate": 9.31899641577061e-05,
146
+ "loss": 0.556,
147
+ "step": 150
148
+ },
149
+ {
150
+ "epoch": 4.99,
151
+ "eval_accuracy": 0.846674182638106,
152
+ "eval_f1": 0.8464510661392919,
153
+ "eval_loss": 0.48742011189460754,
154
+ "eval_precision": 0.8465088132210393,
155
+ "eval_recall": 0.846674182638106,
156
+ "eval_runtime": 22.0562,
157
+ "eval_samples_per_second": 80.431,
158
+ "eval_steps_per_second": 0.635,
159
+ "step": 156
160
+ },
161
+ {
162
+ "epoch": 5.12,
163
+ "learning_rate": 9.199522102747909e-05,
164
+ "loss": 0.5251,
165
+ "step": 160
166
+ },
167
+ {
168
+ "epoch": 5.44,
169
+ "learning_rate": 9.080047789725208e-05,
170
+ "loss": 0.5217,
171
+ "step": 170
172
+ },
173
+ {
174
+ "epoch": 5.76,
175
+ "learning_rate": 8.960573476702509e-05,
176
+ "loss": 0.5116,
177
+ "step": 180
178
+ },
179
+ {
180
+ "epoch": 5.98,
181
+ "eval_accuracy": 0.85456595264938,
182
+ "eval_f1": 0.8517657628179492,
183
+ "eval_loss": 0.47338515520095825,
184
+ "eval_precision": 0.8568577324587641,
185
+ "eval_recall": 0.85456595264938,
186
+ "eval_runtime": 22.2468,
187
+ "eval_samples_per_second": 79.742,
188
+ "eval_steps_per_second": 0.629,
189
+ "step": 187
190
+ },
191
+ {
192
+ "epoch": 6.08,
193
+ "learning_rate": 8.84109916367981e-05,
194
+ "loss": 0.5088,
195
+ "step": 190
196
+ },
197
+ {
198
+ "epoch": 6.4,
199
+ "learning_rate": 8.72162485065711e-05,
200
+ "loss": 0.4811,
201
+ "step": 200
202
+ },
203
+ {
204
+ "epoch": 6.72,
205
+ "learning_rate": 8.60215053763441e-05,
206
+ "loss": 0.4877,
207
+ "step": 210
208
+ },
209
+ {
210
+ "epoch": 6.98,
211
+ "eval_accuracy": 0.8461104847801578,
212
+ "eval_f1": 0.8428422926421464,
213
+ "eval_loss": 0.4538511335849762,
214
+ "eval_precision": 0.8428871947589589,
215
+ "eval_recall": 0.8461104847801578,
216
+ "eval_runtime": 22.0712,
217
+ "eval_samples_per_second": 80.376,
218
+ "eval_steps_per_second": 0.634,
219
+ "step": 218
220
+ },
221
+ {
222
+ "epoch": 7.04,
223
+ "learning_rate": 8.482676224611709e-05,
224
+ "loss": 0.4978,
225
+ "step": 220
226
+ },
227
+ {
228
+ "epoch": 7.36,
229
+ "learning_rate": 8.363201911589009e-05,
230
+ "loss": 0.4539,
231
+ "step": 230
232
+ },
233
+ {
234
+ "epoch": 7.68,
235
+ "learning_rate": 8.243727598566309e-05,
236
+ "loss": 0.4677,
237
+ "step": 240
238
+ },
239
+ {
240
+ "epoch": 8.0,
241
+ "learning_rate": 8.124253285543608e-05,
242
+ "loss": 0.4383,
243
+ "step": 250
244
+ },
245
+ {
246
+ "epoch": 8.0,
247
+ "eval_accuracy": 0.8376550169109357,
248
+ "eval_f1": 0.8344803158108158,
249
+ "eval_loss": 0.4715927839279175,
250
+ "eval_precision": 0.8399037217806676,
251
+ "eval_recall": 0.8376550169109357,
252
+ "eval_runtime": 21.9794,
253
+ "eval_samples_per_second": 80.712,
254
+ "eval_steps_per_second": 0.637,
255
+ "step": 250
256
+ },
257
+ {
258
+ "epoch": 8.32,
259
+ "learning_rate": 8.004778972520908e-05,
260
+ "loss": 0.4267,
261
+ "step": 260
262
+ },
263
+ {
264
+ "epoch": 8.64,
265
+ "learning_rate": 7.885304659498209e-05,
266
+ "loss": 0.4439,
267
+ "step": 270
268
+ },
269
+ {
270
+ "epoch": 8.96,
271
+ "learning_rate": 7.765830346475508e-05,
272
+ "loss": 0.4267,
273
+ "step": 280
274
+ },
275
+ {
276
+ "epoch": 8.99,
277
+ "eval_accuracy": 0.8602029312288614,
278
+ "eval_f1": 0.8558609549343756,
279
+ "eval_loss": 0.43548089265823364,
280
+ "eval_precision": 0.8576044168006902,
281
+ "eval_recall": 0.8602029312288614,
282
+ "eval_runtime": 22.1787,
283
+ "eval_samples_per_second": 79.987,
284
+ "eval_steps_per_second": 0.631,
285
+ "step": 281
286
+ },
287
+ {
288
+ "epoch": 9.28,
289
+ "learning_rate": 7.646356033452809e-05,
290
+ "loss": 0.3988,
291
+ "step": 290
292
+ },
293
+ {
294
+ "epoch": 9.6,
295
+ "learning_rate": 7.526881720430108e-05,
296
+ "loss": 0.4008,
297
+ "step": 300
298
+ },
299
+ {
300
+ "epoch": 9.92,
301
+ "learning_rate": 7.407407407407407e-05,
302
+ "loss": 0.4022,
303
+ "step": 310
304
+ },
305
+ {
306
+ "epoch": 9.98,
307
+ "eval_accuracy": 0.8376550169109357,
308
+ "eval_f1": 0.8355648091511257,
309
+ "eval_loss": 0.47575539350509644,
310
+ "eval_precision": 0.8377044905358585,
311
+ "eval_recall": 0.8376550169109357,
312
+ "eval_runtime": 22.2342,
313
+ "eval_samples_per_second": 79.787,
314
+ "eval_steps_per_second": 0.63,
315
+ "step": 312
316
+ },
317
+ {
318
+ "epoch": 10.24,
319
+ "learning_rate": 7.287933094384708e-05,
320
+ "loss": 0.3884,
321
+ "step": 320
322
+ },
323
+ {
324
+ "epoch": 10.56,
325
+ "learning_rate": 7.168458781362007e-05,
326
+ "loss": 0.3949,
327
+ "step": 330
328
+ },
329
+ {
330
+ "epoch": 10.88,
331
+ "learning_rate": 7.048984468339306e-05,
332
+ "loss": 0.3811,
333
+ "step": 340
334
+ },
335
+ {
336
+ "epoch": 10.98,
337
+ "eval_accuracy": 0.8494926719278467,
338
+ "eval_f1": 0.8474377896340821,
339
+ "eval_loss": 0.4537804424762726,
340
+ "eval_precision": 0.8471164348108314,
341
+ "eval_recall": 0.8494926719278467,
342
+ "eval_runtime": 21.9928,
343
+ "eval_samples_per_second": 80.663,
344
+ "eval_steps_per_second": 0.637,
345
+ "step": 343
346
+ },
347
+ {
348
+ "epoch": 11.2,
349
+ "learning_rate": 6.929510155316607e-05,
350
+ "loss": 0.3545,
351
+ "step": 350
352
+ },
353
+ {
354
+ "epoch": 11.52,
355
+ "learning_rate": 6.810035842293908e-05,
356
+ "loss": 0.3437,
357
+ "step": 360
358
+ },
359
+ {
360
+ "epoch": 11.84,
361
+ "learning_rate": 6.690561529271207e-05,
362
+ "loss": 0.3612,
363
+ "step": 370
364
+ },
365
+ {
366
+ "epoch": 12.0,
367
+ "eval_accuracy": 0.8438556933483653,
368
+ "eval_f1": 0.83986286467956,
369
+ "eval_loss": 0.4807531237602234,
370
+ "eval_precision": 0.8412077042410786,
371
+ "eval_recall": 0.8438556933483653,
372
+ "eval_runtime": 21.9365,
373
+ "eval_samples_per_second": 80.87,
374
+ "eval_steps_per_second": 0.638,
375
+ "step": 375
376
+ },
377
+ {
378
+ "epoch": 12.16,
379
+ "learning_rate": 6.571087216248507e-05,
380
+ "loss": 0.3442,
381
+ "step": 380
382
+ },
383
+ {
384
+ "epoch": 12.48,
385
+ "learning_rate": 6.451612903225807e-05,
386
+ "loss": 0.3353,
387
+ "step": 390
388
+ },
389
+ {
390
+ "epoch": 12.8,
391
+ "learning_rate": 6.332138590203107e-05,
392
+ "loss": 0.363,
393
+ "step": 400
394
+ },
395
+ {
396
+ "epoch": 12.99,
397
+ "eval_accuracy": 0.846674182638106,
398
+ "eval_f1": 0.8458450902771538,
399
+ "eval_loss": 0.4751308262348175,
400
+ "eval_precision": 0.8502119134878978,
401
+ "eval_recall": 0.846674182638106,
402
+ "eval_runtime": 22.1071,
403
+ "eval_samples_per_second": 80.246,
404
+ "eval_steps_per_second": 0.633,
405
+ "step": 406
406
+ },
407
+ {
408
+ "epoch": 13.12,
409
+ "learning_rate": 6.212664277180407e-05,
410
+ "loss": 0.3409,
411
+ "step": 410
412
+ },
413
+ {
414
+ "epoch": 13.44,
415
+ "learning_rate": 6.093189964157706e-05,
416
+ "loss": 0.3311,
417
+ "step": 420
418
+ },
419
+ {
420
+ "epoch": 13.76,
421
+ "learning_rate": 5.9737156511350064e-05,
422
+ "loss": 0.3198,
423
+ "step": 430
424
+ },
425
+ {
426
+ "epoch": 13.98,
427
+ "eval_accuracy": 0.8489289740698985,
428
+ "eval_f1": 0.8450237290199628,
429
+ "eval_loss": 0.47995442152023315,
430
+ "eval_precision": 0.8497216931511434,
431
+ "eval_recall": 0.8489289740698985,
432
+ "eval_runtime": 22.3525,
433
+ "eval_samples_per_second": 79.365,
434
+ "eval_steps_per_second": 0.626,
435
+ "step": 437
436
+ },
437
+ {
438
+ "epoch": 14.08,
439
+ "learning_rate": 5.8542413381123063e-05,
440
+ "loss": 0.3169,
441
+ "step": 440
442
+ },
443
+ {
444
+ "epoch": 14.4,
445
+ "learning_rate": 5.7347670250896056e-05,
446
+ "loss": 0.3034,
447
+ "step": 450
448
+ },
449
+ {
450
+ "epoch": 14.72,
451
+ "learning_rate": 5.615292712066906e-05,
452
+ "loss": 0.3192,
453
+ "step": 460
454
+ },
455
+ {
456
+ "epoch": 14.98,
457
+ "eval_accuracy": 0.8573844419391207,
458
+ "eval_f1": 0.857032095022158,
459
+ "eval_loss": 0.48344284296035767,
460
+ "eval_precision": 0.8580034765886128,
461
+ "eval_recall": 0.8573844419391207,
462
+ "eval_runtime": 22.221,
463
+ "eval_samples_per_second": 79.834,
464
+ "eval_steps_per_second": 0.63,
465
+ "step": 468
466
+ },
467
+ {
468
+ "epoch": 15.04,
469
+ "learning_rate": 5.495818399044206e-05,
470
+ "loss": 0.2982,
471
+ "step": 470
472
+ },
473
+ {
474
+ "epoch": 15.36,
475
+ "learning_rate": 5.3763440860215054e-05,
476
+ "loss": 0.2866,
477
+ "step": 480
478
+ },
479
+ {
480
+ "epoch": 15.68,
481
+ "learning_rate": 5.256869772998806e-05,
482
+ "loss": 0.2877,
483
+ "step": 490
484
+ },
485
+ {
486
+ "epoch": 16.0,
487
+ "learning_rate": 5.137395459976105e-05,
488
+ "loss": 0.3041,
489
+ "step": 500
490
+ },
491
+ {
492
+ "epoch": 16.0,
493
+ "eval_accuracy": 0.8494926719278467,
494
+ "eval_f1": 0.8443027737508426,
495
+ "eval_loss": 0.4879484176635742,
496
+ "eval_precision": 0.8500026597900313,
497
+ "eval_recall": 0.8494926719278467,
498
+ "eval_runtime": 22.0401,
499
+ "eval_samples_per_second": 80.49,
500
+ "eval_steps_per_second": 0.635,
501
+ "step": 500
502
+ },
503
+ {
504
+ "epoch": 16.32,
505
+ "learning_rate": 5.017921146953405e-05,
506
+ "loss": 0.2706,
507
+ "step": 510
508
+ },
509
+ {
510
+ "epoch": 16.64,
511
+ "learning_rate": 4.898446833930705e-05,
512
+ "loss": 0.2924,
513
+ "step": 520
514
+ },
515
+ {
516
+ "epoch": 16.96,
517
+ "learning_rate": 4.778972520908005e-05,
518
+ "loss": 0.2607,
519
+ "step": 530
520
+ },
521
+ {
522
+ "epoch": 16.99,
523
+ "eval_accuracy": 0.8540022547914318,
524
+ "eval_f1": 0.8523463281841663,
525
+ "eval_loss": 0.49578550457954407,
526
+ "eval_precision": 0.8528831157271395,
527
+ "eval_recall": 0.8540022547914318,
528
+ "eval_runtime": 22.033,
529
+ "eval_samples_per_second": 80.515,
530
+ "eval_steps_per_second": 0.635,
531
+ "step": 531
532
+ },
533
+ {
534
+ "epoch": 17.28,
535
+ "learning_rate": 4.659498207885305e-05,
536
+ "loss": 0.2715,
537
+ "step": 540
538
+ },
539
+ {
540
+ "epoch": 17.6,
541
+ "learning_rate": 4.540023894862604e-05,
542
+ "loss": 0.2834,
543
+ "step": 550
544
+ },
545
+ {
546
+ "epoch": 17.92,
547
+ "learning_rate": 4.420549581839905e-05,
548
+ "loss": 0.2649,
549
+ "step": 560
550
+ },
551
+ {
552
+ "epoch": 17.98,
553
+ "eval_accuracy": 0.8579481397970687,
554
+ "eval_f1": 0.8562326829930054,
555
+ "eval_loss": 0.49265938997268677,
556
+ "eval_precision": 0.8570005813023908,
557
+ "eval_recall": 0.8579481397970687,
558
+ "eval_runtime": 22.3417,
559
+ "eval_samples_per_second": 79.403,
560
+ "eval_steps_per_second": 0.627,
561
+ "step": 562
562
+ },
563
+ {
564
+ "epoch": 18.24,
565
+ "learning_rate": 4.301075268817205e-05,
566
+ "loss": 0.2624,
567
+ "step": 570
568
+ },
569
+ {
570
+ "epoch": 18.56,
571
+ "learning_rate": 4.1816009557945046e-05,
572
+ "loss": 0.2423,
573
+ "step": 580
574
+ },
575
+ {
576
+ "epoch": 18.88,
577
+ "learning_rate": 4.062126642771804e-05,
578
+ "loss": 0.2553,
579
+ "step": 590
580
+ },
581
+ {
582
+ "epoch": 18.98,
583
+ "eval_accuracy": 0.8494926719278467,
584
+ "eval_f1": 0.8473638848040509,
585
+ "eval_loss": 0.5094860196113586,
586
+ "eval_precision": 0.847257566255885,
587
+ "eval_recall": 0.8494926719278467,
588
+ "eval_runtime": 21.8356,
589
+ "eval_samples_per_second": 81.244,
590
+ "eval_steps_per_second": 0.641,
591
+ "step": 593
592
+ },
593
+ {
594
+ "epoch": 19.2,
595
+ "learning_rate": 3.9426523297491045e-05,
596
+ "loss": 0.2515,
597
+ "step": 600
598
+ },
599
+ {
600
+ "epoch": 19.52,
601
+ "learning_rate": 3.8231780167264044e-05,
602
+ "loss": 0.2526,
603
+ "step": 610
604
+ },
605
+ {
606
+ "epoch": 19.84,
607
+ "learning_rate": 3.7037037037037037e-05,
608
+ "loss": 0.2453,
609
+ "step": 620
610
+ },
611
+ {
612
+ "epoch": 20.0,
613
+ "eval_accuracy": 0.8494926719278467,
614
+ "eval_f1": 0.8467359900263874,
615
+ "eval_loss": 0.5161798000335693,
616
+ "eval_precision": 0.8467382302648213,
617
+ "eval_recall": 0.8494926719278467,
618
+ "eval_runtime": 22.0357,
619
+ "eval_samples_per_second": 80.506,
620
+ "eval_steps_per_second": 0.635,
621
+ "step": 625
622
+ },
623
+ {
624
+ "epoch": 20.16,
625
+ "learning_rate": 3.5842293906810036e-05,
626
+ "loss": 0.2427,
627
+ "step": 630
628
+ },
629
+ {
630
+ "epoch": 20.48,
631
+ "learning_rate": 3.4647550776583035e-05,
632
+ "loss": 0.2364,
633
+ "step": 640
634
+ },
635
+ {
636
+ "epoch": 20.8,
637
+ "learning_rate": 3.3452807646356034e-05,
638
+ "loss": 0.2417,
639
+ "step": 650
640
+ },
641
+ {
642
+ "epoch": 20.99,
643
+ "eval_accuracy": 0.8579481397970687,
644
+ "eval_f1": 0.8542523881152531,
645
+ "eval_loss": 0.5374500751495361,
646
+ "eval_precision": 0.8572760382500455,
647
+ "eval_recall": 0.8579481397970687,
648
+ "eval_runtime": 22.3872,
649
+ "eval_samples_per_second": 79.242,
650
+ "eval_steps_per_second": 0.625,
651
+ "step": 656
652
+ },
653
+ {
654
+ "epoch": 21.12,
655
+ "learning_rate": 3.2258064516129034e-05,
656
+ "loss": 0.229,
657
+ "step": 660
658
+ },
659
+ {
660
+ "epoch": 21.44,
661
+ "learning_rate": 3.106332138590203e-05,
662
+ "loss": 0.2359,
663
+ "step": 670
664
+ },
665
+ {
666
+ "epoch": 21.76,
667
+ "learning_rate": 2.9868578255675032e-05,
668
+ "loss": 0.241,
669
+ "step": 680
670
+ },
671
+ {
672
+ "epoch": 21.98,
673
+ "eval_accuracy": 0.8568207440811725,
674
+ "eval_f1": 0.8547169886868239,
675
+ "eval_loss": 0.512915313243866,
676
+ "eval_precision": 0.8545685444650545,
677
+ "eval_recall": 0.8568207440811725,
678
+ "eval_runtime": 22.1438,
679
+ "eval_samples_per_second": 80.113,
680
+ "eval_steps_per_second": 0.632,
681
+ "step": 687
682
+ },
683
+ {
684
+ "epoch": 22.08,
685
+ "learning_rate": 2.8673835125448028e-05,
686
+ "loss": 0.2366,
687
+ "step": 690
688
+ },
689
+ {
690
+ "epoch": 22.4,
691
+ "learning_rate": 2.747909199522103e-05,
692
+ "loss": 0.2258,
693
+ "step": 700
694
+ },
695
+ {
696
+ "epoch": 22.72,
697
+ "learning_rate": 2.628434886499403e-05,
698
+ "loss": 0.2257,
699
+ "step": 710
700
+ },
701
+ {
702
+ "epoch": 22.98,
703
+ "eval_accuracy": 0.8596392333709132,
704
+ "eval_f1": 0.8570784965746712,
705
+ "eval_loss": 0.5315744280815125,
706
+ "eval_precision": 0.8583802070333396,
707
+ "eval_recall": 0.8596392333709132,
708
+ "eval_runtime": 22.2978,
709
+ "eval_samples_per_second": 79.559,
710
+ "eval_steps_per_second": 0.628,
711
+ "step": 718
712
+ },
713
+ {
714
+ "epoch": 23.04,
715
+ "learning_rate": 2.5089605734767026e-05,
716
+ "loss": 0.2263,
717
+ "step": 720
718
+ },
719
+ {
720
+ "epoch": 23.36,
721
+ "learning_rate": 2.3894862604540025e-05,
722
+ "loss": 0.2182,
723
+ "step": 730
724
+ },
725
+ {
726
+ "epoch": 23.68,
727
+ "learning_rate": 2.270011947431302e-05,
728
+ "loss": 0.2297,
729
+ "step": 740
730
+ },
731
+ {
732
+ "epoch": 24.0,
733
+ "learning_rate": 2.1505376344086024e-05,
734
+ "loss": 0.2087,
735
+ "step": 750
736
+ },
737
+ {
738
+ "epoch": 24.0,
739
+ "eval_accuracy": 0.8511837655016911,
740
+ "eval_f1": 0.848921831106386,
741
+ "eval_loss": 0.5529980659484863,
742
+ "eval_precision": 0.849654051064782,
743
+ "eval_recall": 0.8511837655016911,
744
+ "eval_runtime": 22.0692,
745
+ "eval_samples_per_second": 80.383,
746
+ "eval_steps_per_second": 0.634,
747
+ "step": 750
748
+ },
749
+ {
750
+ "epoch": 24.32,
751
+ "learning_rate": 2.031063321385902e-05,
752
+ "loss": 0.2279,
753
+ "step": 760
754
+ },
755
+ {
756
+ "epoch": 24.64,
757
+ "learning_rate": 1.9115890083632022e-05,
758
+ "loss": 0.2103,
759
+ "step": 770
760
+ },
761
+ {
762
+ "epoch": 24.96,
763
+ "learning_rate": 1.7921146953405018e-05,
764
+ "loss": 0.2196,
765
+ "step": 780
766
+ },
767
+ {
768
+ "epoch": 24.99,
769
+ "eval_accuracy": 0.8613303269447576,
770
+ "eval_f1": 0.8596444828561277,
771
+ "eval_loss": 0.5422354936599731,
772
+ "eval_precision": 0.8600050951653831,
773
+ "eval_recall": 0.8613303269447576,
774
+ "eval_runtime": 22.3792,
775
+ "eval_samples_per_second": 79.27,
776
+ "eval_steps_per_second": 0.626,
777
+ "step": 781
778
+ },
779
+ {
780
+ "epoch": 25.28,
781
+ "learning_rate": 1.6726403823178017e-05,
782
+ "loss": 0.1947,
783
+ "step": 790
784
+ },
785
+ {
786
+ "epoch": 25.6,
787
+ "learning_rate": 1.5531660692951016e-05,
788
+ "loss": 0.2016,
789
+ "step": 800
790
+ },
791
+ {
792
+ "epoch": 25.92,
793
+ "learning_rate": 1.4336917562724014e-05,
794
+ "loss": 0.1975,
795
+ "step": 810
796
+ },
797
+ {
798
+ "epoch": 25.98,
799
+ "eval_accuracy": 0.8528748590755355,
800
+ "eval_f1": 0.850826122514615,
801
+ "eval_loss": 0.5671515464782715,
802
+ "eval_precision": 0.8533722924188255,
803
+ "eval_recall": 0.8528748590755355,
804
+ "eval_runtime": 22.1344,
805
+ "eval_samples_per_second": 80.147,
806
+ "eval_steps_per_second": 0.632,
807
+ "step": 812
808
+ },
809
+ {
810
+ "epoch": 26.24,
811
+ "learning_rate": 1.3142174432497015e-05,
812
+ "loss": 0.2206,
813
+ "step": 820
814
+ },
815
+ {
816
+ "epoch": 26.56,
817
+ "learning_rate": 1.1947431302270013e-05,
818
+ "loss": 0.2007,
819
+ "step": 830
820
+ },
821
+ {
822
+ "epoch": 26.88,
823
+ "learning_rate": 1.0752688172043012e-05,
824
+ "loss": 0.2135,
825
+ "step": 840
826
+ },
827
+ {
828
+ "epoch": 26.98,
829
+ "eval_accuracy": 0.8523111612175873,
830
+ "eval_f1": 0.8508686765834379,
831
+ "eval_loss": 0.5697333216667175,
832
+ "eval_precision": 0.8512784330826557,
833
+ "eval_recall": 0.8523111612175873,
834
+ "eval_runtime": 21.9964,
835
+ "eval_samples_per_second": 80.65,
836
+ "eval_steps_per_second": 0.636,
837
+ "step": 843
838
+ },
839
+ {
840
+ "epoch": 27.2,
841
+ "learning_rate": 9.557945041816011e-06,
842
+ "loss": 0.2134,
843
+ "step": 850
844
+ },
845
+ {
846
+ "epoch": 27.52,
847
+ "learning_rate": 8.363201911589009e-06,
848
+ "loss": 0.2157,
849
+ "step": 860
850
+ },
851
+ {
852
+ "epoch": 27.84,
853
+ "learning_rate": 7.168458781362007e-06,
854
+ "loss": 0.1946,
855
+ "step": 870
856
+ },
857
+ {
858
+ "epoch": 28.0,
859
+ "eval_accuracy": 0.8556933483652762,
860
+ "eval_f1": 0.8536344252156703,
861
+ "eval_loss": 0.5598114728927612,
862
+ "eval_precision": 0.854160182325068,
863
+ "eval_recall": 0.8556933483652762,
864
+ "eval_runtime": 22.2731,
865
+ "eval_samples_per_second": 79.648,
866
+ "eval_steps_per_second": 0.629,
867
+ "step": 875
868
+ },
869
+ {
870
+ "epoch": 28.16,
871
+ "learning_rate": 5.973715651135006e-06,
872
+ "loss": 0.2131,
873
+ "step": 880
874
+ },
875
+ {
876
+ "epoch": 28.48,
877
+ "learning_rate": 4.7789725209080055e-06,
878
+ "loss": 0.1988,
879
+ "step": 890
880
+ },
881
+ {
882
+ "epoch": 28.8,
883
+ "learning_rate": 3.5842293906810035e-06,
884
+ "loss": 0.2006,
885
+ "step": 900
886
+ },
887
+ {
888
+ "epoch": 28.99,
889
+ "eval_accuracy": 0.859075535512965,
890
+ "eval_f1": 0.8559520451985321,
891
+ "eval_loss": 0.5581933259963989,
892
+ "eval_precision": 0.8565751475892288,
893
+ "eval_recall": 0.859075535512965,
894
+ "eval_runtime": 22.1527,
895
+ "eval_samples_per_second": 80.081,
896
+ "eval_steps_per_second": 0.632,
897
+ "step": 906
898
+ },
899
+ {
900
+ "epoch": 29.12,
901
+ "learning_rate": 2.3894862604540028e-06,
902
+ "loss": 0.2068,
903
+ "step": 910
904
+ },
905
+ {
906
+ "epoch": 29.44,
907
+ "learning_rate": 1.1947431302270014e-06,
908
+ "loss": 0.188,
909
+ "step": 920
910
+ },
911
+ {
912
+ "epoch": 29.76,
913
+ "learning_rate": 0.0,
914
+ "loss": 0.1968,
915
+ "step": 930
916
+ },
917
+ {
918
+ "epoch": 29.76,
919
+ "eval_accuracy": 0.859075535512965,
920
+ "eval_f1": 0.8563712215450049,
921
+ "eval_loss": 0.5570882558822632,
922
+ "eval_precision": 0.8570535356400701,
923
+ "eval_recall": 0.859075535512965,
924
+ "eval_runtime": 22.3987,
925
+ "eval_samples_per_second": 79.201,
926
+ "eval_steps_per_second": 0.625,
927
+ "step": 930
928
+ },
929
+ {
930
+ "epoch": 29.76,
931
+ "step": 930,
932
+ "total_flos": 1.0856143898633267e+20,
933
+ "train_loss": 0.41153401379944177,
934
+ "train_runtime": 9651.1603,
935
+ "train_samples_per_second": 49.617,
936
+ "train_steps_per_second": 0.096
937
+ }
938
+ ],
939
+ "logging_steps": 10,
940
+ "max_steps": 930,
941
+ "num_input_tokens_seen": 0,
942
+ "num_train_epochs": 30,
943
+ "save_steps": 500,
944
+ "total_flos": 1.0856143898633267e+20,
945
+ "train_batch_size": 128,
946
+ "trial_name": null,
947
+ "trial_params": null
948
+ }