End of training
Browse files- README.md +8 -6
- all_results.json +13 -11
- eval_results.json +9 -6
- train_results.json +5 -6
- trainer_state.json +908 -1348
README.md
CHANGED
@@ -2,6 +2,8 @@
|
|
2 |
license: apache-2.0
|
3 |
base_model: facebook/dinov2-small-imagenet1k-1-layer
|
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 |
# dinov2-small-imagenet1k-1-layer-finetuned-galaxy10-decals
|
20 |
|
21 |
-
This model is a fine-tuned version of [facebook/dinov2-small-imagenet1k-1-layer](https://huggingface.co/facebook/dinov2-small-imagenet1k-1-layer) on
|
22 |
It achieves the following results on the evaluation set:
|
23 |
-
- Loss: 0.
|
24 |
-
- Accuracy: 0.
|
25 |
-
- Precision: 0.
|
26 |
-
- Recall: 0.
|
27 |
-
- F1: 0.
|
28 |
|
29 |
## Model description
|
30 |
|
|
|
2 |
license: apache-2.0
|
3 |
base_model: facebook/dinov2-small-imagenet1k-1-layer
|
4 |
tags:
|
5 |
+
- image-classification
|
6 |
+
- vision
|
7 |
- generated_from_trainer
|
8 |
metrics:
|
9 |
- accuracy
|
|
|
20 |
|
21 |
# dinov2-small-imagenet1k-1-layer-finetuned-galaxy10-decals
|
22 |
|
23 |
+
This model is a fine-tuned version of [facebook/dinov2-small-imagenet1k-1-layer](https://huggingface.co/facebook/dinov2-small-imagenet1k-1-layer) on the matthieulel/galaxy10_decals dataset.
|
24 |
It achieves the following results on the evaluation set:
|
25 |
+
- Loss: 0.5373
|
26 |
+
- Accuracy: 0.8563
|
27 |
+
- Precision: 0.8536
|
28 |
+
- Recall: 0.8563
|
29 |
+
- F1: 0.8543
|
30 |
|
31 |
## Model description
|
32 |
|
all_results.json
CHANGED
@@ -1,13 +1,15 @@
|
|
1 |
{
|
2 |
-
"epoch":
|
3 |
-
"eval_accuracy": 0.
|
4 |
-
"
|
5 |
-
"
|
6 |
-
"
|
7 |
-
"
|
8 |
-
"
|
9 |
-
"
|
10 |
-
"
|
11 |
-
"
|
12 |
-
"
|
|
|
|
|
13 |
}
|
|
|
1 |
{
|
2 |
+
"epoch": 29.76,
|
3 |
+
"eval_accuracy": 0.8562570462232244,
|
4 |
+
"eval_f1": 0.8543013145108364,
|
5 |
+
"eval_loss": 0.5373367667198181,
|
6 |
+
"eval_precision": 0.8535856101978109,
|
7 |
+
"eval_recall": 0.8562570462232244,
|
8 |
+
"eval_runtime": 9.4749,
|
9 |
+
"eval_samples_per_second": 187.232,
|
10 |
+
"eval_steps_per_second": 2.955,
|
11 |
+
"train_loss": 0.4955275515074371,
|
12 |
+
"train_runtime": 4173.3159,
|
13 |
+
"train_samples_per_second": 114.743,
|
14 |
+
"train_steps_per_second": 0.446
|
15 |
}
|
eval_results.json
CHANGED
@@ -1,8 +1,11 @@
|
|
1 |
{
|
2 |
-
"epoch":
|
3 |
-
"eval_accuracy": 0.
|
4 |
-
"
|
5 |
-
"
|
6 |
-
"
|
7 |
-
"
|
|
|
|
|
|
|
8 |
}
|
|
|
1 |
{
|
2 |
+
"epoch": 29.76,
|
3 |
+
"eval_accuracy": 0.8562570462232244,
|
4 |
+
"eval_f1": 0.8543013145108364,
|
5 |
+
"eval_loss": 0.5373367667198181,
|
6 |
+
"eval_precision": 0.8535856101978109,
|
7 |
+
"eval_recall": 0.8562570462232244,
|
8 |
+
"eval_runtime": 9.4749,
|
9 |
+
"eval_samples_per_second": 187.232,
|
10 |
+
"eval_steps_per_second": 2.955
|
11 |
}
|
train_results.json
CHANGED
@@ -1,8 +1,7 @@
|
|
1 |
{
|
2 |
-
"epoch":
|
3 |
-
"
|
4 |
-
"
|
5 |
-
"
|
6 |
-
"
|
7 |
-
"train_steps_per_second": 0.347
|
8 |
}
|
|
|
1 |
{
|
2 |
+
"epoch": 29.76,
|
3 |
+
"train_loss": 0.4955275515074371,
|
4 |
+
"train_runtime": 4173.3159,
|
5 |
+
"train_samples_per_second": 114.743,
|
6 |
+
"train_steps_per_second": 0.446
|
|
|
7 |
}
|
trainer_state.json
CHANGED
@@ -1,1946 +1,1506 @@
|
|
1 |
{
|
2 |
-
"best_metric": 0.
|
3 |
-
"best_model_checkpoint": "dinov2-small-imagenet1k-1-layer-finetuned-galaxy10-decals/checkpoint-
|
4 |
-
"epoch":
|
5 |
"eval_steps": 500,
|
6 |
-
"global_step":
|
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.
|
13 |
-
"
|
14 |
-
"
|
15 |
-
"loss": 2.8233,
|
16 |
"step": 10
|
17 |
},
|
18 |
{
|
19 |
-
"epoch": 0.
|
20 |
-
"
|
21 |
-
"
|
22 |
-
"loss": 2.1402,
|
23 |
"step": 20
|
24 |
},
|
25 |
{
|
26 |
-
"epoch": 0.
|
27 |
-
"
|
28 |
-
"
|
29 |
-
"loss": 1.8321,
|
30 |
"step": 30
|
31 |
},
|
32 |
{
|
33 |
-
"epoch": 0.
|
34 |
-
"
|
35 |
-
"
|
36 |
-
"loss": 1.5098,
|
37 |
"step": 40
|
38 |
},
|
39 |
{
|
40 |
-
"epoch": 0.
|
41 |
-
"
|
42 |
-
"
|
43 |
-
"loss": 1.3558,
|
44 |
"step": 50
|
45 |
},
|
46 |
{
|
47 |
-
"epoch": 0.
|
48 |
-
"
|
49 |
-
"
|
50 |
-
"loss": 1.2094,
|
51 |
"step": 60
|
52 |
},
|
53 |
{
|
54 |
-
"epoch": 0.
|
55 |
-
"
|
56 |
-
"
|
57 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
58 |
"step": 70
|
59 |
},
|
60 |
{
|
61 |
-
"epoch":
|
62 |
-
"
|
63 |
-
"
|
64 |
-
"loss": 1.1189,
|
65 |
"step": 80
|
66 |
},
|
67 |
{
|
68 |
-
"epoch":
|
69 |
-
"
|
70 |
-
"
|
71 |
-
"loss": 1.0405,
|
72 |
"step": 90
|
73 |
},
|
74 |
{
|
75 |
-
"epoch":
|
76 |
-
"
|
77 |
-
"
|
78 |
-
"loss": 1.0129,
|
79 |
"step": 100
|
80 |
},
|
81 |
{
|
82 |
-
"epoch":
|
83 |
-
"
|
84 |
-
"
|
85 |
-
"loss": 0.9405,
|
86 |
"step": 110
|
87 |
},
|
88 |
{
|
89 |
-
"epoch":
|
90 |
-
"
|
91 |
-
"
|
92 |
-
"loss": 0.924,
|
93 |
"step": 120
|
94 |
},
|
95 |
{
|
96 |
-
"epoch": 0
|
97 |
-
"eval_accuracy": 0.
|
98 |
-
"
|
99 |
-
"
|
100 |
-
"
|
101 |
-
"
|
102 |
-
"
|
|
|
|
|
|
|
103 |
},
|
104 |
{
|
105 |
-
"epoch":
|
106 |
-
"
|
107 |
-
"
|
108 |
-
"loss": 0.8607,
|
109 |
"step": 130
|
110 |
},
|
111 |
{
|
112 |
-
"epoch":
|
113 |
-
"
|
114 |
-
"
|
115 |
-
"loss": 0.9175,
|
116 |
"step": 140
|
117 |
},
|
118 |
{
|
119 |
-
"epoch":
|
120 |
-
"
|
121 |
-
"
|
122 |
-
"loss": 0.8886,
|
123 |
"step": 150
|
124 |
},
|
125 |
{
|
126 |
-
"epoch":
|
127 |
-
"
|
128 |
-
"
|
129 |
-
"loss": 0.9134,
|
130 |
"step": 160
|
131 |
},
|
132 |
{
|
133 |
-
"epoch":
|
134 |
-
"
|
135 |
-
"
|
136 |
-
"loss": 0.8889,
|
137 |
"step": 170
|
138 |
},
|
139 |
{
|
140 |
-
"epoch":
|
141 |
-
"
|
142 |
-
"
|
143 |
-
"loss": 0.9035,
|
144 |
"step": 180
|
145 |
},
|
146 |
{
|
147 |
-
"epoch":
|
148 |
-
"
|
149 |
-
"
|
150 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
151 |
"step": 190
|
152 |
},
|
153 |
{
|
154 |
-
"epoch":
|
155 |
-
"
|
156 |
-
"
|
157 |
-
"loss": 0.9545,
|
158 |
"step": 200
|
159 |
},
|
160 |
{
|
161 |
-
"epoch":
|
162 |
-
"
|
163 |
-
"
|
164 |
-
"loss": 0.9195,
|
165 |
"step": 210
|
166 |
},
|
167 |
{
|
168 |
-
"epoch":
|
169 |
-
"
|
170 |
-
"
|
171 |
-
"loss": 0.9062,
|
172 |
"step": 220
|
173 |
},
|
174 |
{
|
175 |
-
"epoch":
|
176 |
-
"
|
177 |
-
"
|
178 |
-
"loss": 0.8817,
|
179 |
"step": 230
|
180 |
},
|
181 |
{
|
182 |
-
"epoch":
|
183 |
-
"grad_norm": 59.98125457763672,
|
184 |
"learning_rate": 4.8387096774193554e-05,
|
185 |
-
"loss": 0.
|
186 |
"step": 240
|
187 |
},
|
188 |
{
|
189 |
-
"epoch":
|
190 |
-
"
|
191 |
-
"
|
192 |
-
"
|
193 |
-
"eval_samples_per_second": 108.05,
|
194 |
-
"eval_steps_per_second": 3.411,
|
195 |
-
"step": 249
|
196 |
},
|
197 |
{
|
198 |
-
"epoch":
|
199 |
-
"
|
200 |
-
"
|
201 |
-
"
|
|
|
|
|
|
|
|
|
|
|
202 |
"step": 250
|
203 |
},
|
204 |
{
|
205 |
-
"epoch":
|
206 |
-
"
|
207 |
-
"
|
208 |
-
"loss": 0.8578,
|
209 |
"step": 260
|
210 |
},
|
211 |
{
|
212 |
-
"epoch":
|
213 |
-
"
|
214 |
-
"
|
215 |
-
"loss": 0.9822,
|
216 |
"step": 270
|
217 |
},
|
218 |
{
|
219 |
-
"epoch":
|
220 |
-
"
|
221 |
-
"
|
222 |
-
"loss": 0.9396,
|
223 |
"step": 280
|
224 |
},
|
225 |
{
|
226 |
-
"epoch":
|
227 |
-
"
|
228 |
-
"
|
229 |
-
"loss": 0.9457,
|
230 |
"step": 290
|
231 |
},
|
232 |
{
|
233 |
-
"epoch":
|
234 |
-
"
|
235 |
-
"
|
236 |
-
"loss": 0.8546,
|
237 |
"step": 300
|
238 |
},
|
239 |
{
|
240 |
-
"epoch":
|
241 |
-
"
|
242 |
-
"
|
243 |
-
"loss": 0.9152,
|
244 |
"step": 310
|
245 |
},
|
246 |
{
|
247 |
-
"epoch":
|
248 |
-
"
|
249 |
-
"
|
250 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
251 |
"step": 320
|
252 |
},
|
253 |
{
|
254 |
-
"epoch":
|
255 |
-
"
|
256 |
-
"
|
257 |
-
"loss": 0.7998,
|
258 |
"step": 330
|
259 |
},
|
260 |
{
|
261 |
-
"epoch":
|
262 |
-
"
|
263 |
-
"
|
264 |
-
"loss": 0.7981,
|
265 |
"step": 340
|
266 |
},
|
267 |
{
|
268 |
-
"epoch":
|
269 |
-
"
|
270 |
-
"
|
271 |
-
"loss": 0.8871,
|
272 |
"step": 350
|
273 |
},
|
274 |
{
|
275 |
-
"epoch":
|
276 |
-
"
|
277 |
-
"
|
278 |
-
"loss": 0.7689,
|
279 |
"step": 360
|
280 |
},
|
281 |
{
|
282 |
-
"epoch":
|
283 |
-
"
|
284 |
-
"
|
285 |
-
"loss": 0.805,
|
286 |
"step": 370
|
287 |
},
|
288 |
{
|
289 |
-
"epoch":
|
290 |
-
"eval_accuracy": 0.
|
291 |
-
"
|
292 |
-
"
|
293 |
-
"
|
294 |
-
"
|
295 |
-
"
|
|
|
|
|
|
|
296 |
},
|
297 |
{
|
298 |
-
"epoch":
|
299 |
-
"
|
300 |
-
"
|
301 |
-
"loss": 0.7415,
|
302 |
"step": 380
|
303 |
},
|
304 |
{
|
305 |
-
"epoch":
|
306 |
-
"
|
307 |
-
"
|
308 |
-
"loss": 0.7203,
|
309 |
"step": 390
|
310 |
},
|
311 |
{
|
312 |
-
"epoch":
|
313 |
-
"
|
314 |
-
"
|
315 |
-
"loss": 0.6812,
|
316 |
"step": 400
|
317 |
},
|
318 |
{
|
319 |
-
"epoch":
|
320 |
-
"
|
321 |
-
"
|
322 |
-
"loss": 0.7374,
|
323 |
"step": 410
|
324 |
},
|
325 |
{
|
326 |
-
"epoch":
|
327 |
-
"
|
328 |
-
"
|
329 |
-
"loss": 0.7994,
|
330 |
"step": 420
|
331 |
},
|
332 |
{
|
333 |
-
"epoch":
|
334 |
-
"
|
335 |
-
"
|
336 |
-
"loss": 0.7888,
|
337 |
"step": 430
|
338 |
},
|
339 |
{
|
340 |
-
"epoch":
|
341 |
-
"
|
342 |
-
"
|
343 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
344 |
"step": 440
|
345 |
},
|
346 |
{
|
347 |
-
"epoch":
|
348 |
-
"
|
349 |
-
"
|
350 |
-
"loss": 0.778,
|
351 |
"step": 450
|
352 |
},
|
353 |
{
|
354 |
-
"epoch":
|
355 |
-
"
|
356 |
-
"
|
357 |
-
"loss": 0.7487,
|
358 |
"step": 460
|
359 |
},
|
360 |
{
|
361 |
-
"epoch":
|
362 |
-
"
|
363 |
-
"
|
364 |
-
"loss": 0.7287,
|
365 |
"step": 470
|
366 |
},
|
367 |
{
|
368 |
-
"epoch":
|
369 |
-
"
|
370 |
-
"
|
371 |
-
"loss": 0.7762,
|
372 |
"step": 480
|
373 |
},
|
374 |
{
|
375 |
-
"epoch":
|
376 |
-
"
|
377 |
-
"
|
378 |
-
"loss": 0.752,
|
379 |
"step": 490
|
380 |
},
|
381 |
{
|
382 |
-
"epoch":
|
383 |
-
"
|
384 |
-
"
|
385 |
-
"
|
386 |
-
|
387 |
-
|
388 |
-
"
|
389 |
-
|
390 |
-
|
391 |
-
"
|
392 |
-
"
|
393 |
-
"
|
394 |
-
"
|
|
|
|
|
395 |
"step": 500
|
396 |
},
|
397 |
{
|
398 |
-
"epoch":
|
399 |
-
"
|
400 |
-
"
|
401 |
-
"loss": 0.7361,
|
402 |
"step": 510
|
403 |
},
|
404 |
{
|
405 |
-
"epoch":
|
406 |
-
"
|
407 |
-
"
|
408 |
-
"loss": 0.7795,
|
409 |
"step": 520
|
410 |
},
|
411 |
{
|
412 |
-
"epoch":
|
413 |
-
"
|
414 |
-
"
|
415 |
-
"loss": 0.7467,
|
416 |
"step": 530
|
417 |
},
|
418 |
{
|
419 |
-
"epoch":
|
420 |
-
"
|
421 |
-
"
|
422 |
-
"loss": 0.6427,
|
423 |
"step": 540
|
424 |
},
|
425 |
{
|
426 |
-
"epoch":
|
427 |
-
"
|
428 |
-
"
|
429 |
-
"loss": 0.6988,
|
430 |
"step": 550
|
431 |
},
|
432 |
{
|
433 |
-
"epoch":
|
434 |
-
"
|
435 |
-
"
|
436 |
-
"loss": 0.6696,
|
437 |
"step": 560
|
438 |
},
|
439 |
{
|
440 |
-
"epoch":
|
441 |
-
"
|
442 |
-
"
|
443 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
444 |
"step": 570
|
445 |
},
|
446 |
{
|
447 |
-
"epoch":
|
448 |
-
"
|
449 |
-
"
|
450 |
-
"loss": 0.6775,
|
451 |
"step": 580
|
452 |
},
|
453 |
{
|
454 |
-
"epoch":
|
455 |
-
"
|
456 |
-
"
|
457 |
-
"loss": 0.6479,
|
458 |
"step": 590
|
459 |
},
|
460 |
{
|
461 |
-
"epoch":
|
462 |
-
"
|
463 |
-
"
|
464 |
-
"loss": 0.7208,
|
465 |
"step": 600
|
466 |
},
|
467 |
{
|
468 |
-
"epoch":
|
469 |
-
"
|
470 |
-
"
|
471 |
-
"loss": 0.6655,
|
472 |
"step": 610
|
473 |
},
|
474 |
{
|
475 |
-
"epoch":
|
476 |
-
"
|
477 |
-
"
|
478 |
-
"loss": 0.6193,
|
479 |
"step": 620
|
480 |
},
|
481 |
{
|
482 |
-
"epoch":
|
483 |
-
"eval_accuracy": 0.
|
484 |
-
"
|
485 |
-
"
|
486 |
-
"
|
487 |
-
"
|
488 |
-
"
|
|
|
|
|
|
|
489 |
},
|
490 |
{
|
491 |
-
"epoch":
|
492 |
-
"
|
493 |
-
"
|
494 |
-
"loss": 0.6843,
|
495 |
"step": 630
|
496 |
},
|
497 |
{
|
498 |
-
"epoch":
|
499 |
-
"
|
500 |
-
"
|
501 |
-
"loss": 0.6394,
|
502 |
"step": 640
|
503 |
},
|
504 |
{
|
505 |
-
"epoch":
|
506 |
-
"
|
507 |
-
"
|
508 |
-
"loss": 0.6629,
|
509 |
"step": 650
|
510 |
},
|
511 |
{
|
512 |
-
"epoch":
|
513 |
-
"
|
514 |
-
"
|
515 |
-
"loss": 0.6814,
|
516 |
"step": 660
|
517 |
},
|
518 |
{
|
519 |
-
"epoch":
|
520 |
-
"
|
521 |
-
"
|
522 |
-
"loss": 0.7281,
|
523 |
"step": 670
|
524 |
},
|
525 |
{
|
526 |
-
"epoch":
|
527 |
-
"
|
528 |
-
"
|
529 |
-
"loss": 0.6512,
|
530 |
"step": 680
|
531 |
},
|
532 |
{
|
533 |
-
"epoch":
|
534 |
-
"
|
535 |
-
"
|
536 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
537 |
"step": 690
|
538 |
},
|
539 |
{
|
540 |
-
"epoch":
|
541 |
-
"
|
542 |
-
"
|
543 |
-
"loss": 0.7244,
|
544 |
"step": 700
|
545 |
},
|
546 |
{
|
547 |
-
"epoch":
|
548 |
-
"
|
549 |
-
"
|
550 |
-
"loss": 0.7093,
|
551 |
"step": 710
|
552 |
},
|
553 |
{
|
554 |
-
"epoch":
|
555 |
-
"
|
556 |
-
"
|
557 |
-
"loss": 0.6039,
|
558 |
"step": 720
|
559 |
},
|
560 |
{
|
561 |
-
"epoch":
|
562 |
-
"
|
563 |
-
"
|
564 |
-
"loss": 0.6434,
|
565 |
"step": 730
|
566 |
},
|
567 |
{
|
568 |
-
"epoch":
|
569 |
-
"
|
570 |
-
"
|
571 |
-
"loss": 0.5822,
|
572 |
"step": 740
|
573 |
},
|
574 |
{
|
575 |
-
"epoch":
|
576 |
-
"
|
577 |
-
"
|
578 |
-
"
|
579 |
-
"eval_samples_per_second": 107.284,
|
580 |
-
"eval_steps_per_second": 3.387,
|
581 |
-
"step": 748
|
582 |
},
|
583 |
{
|
584 |
-
"epoch":
|
585 |
-
"
|
586 |
-
"
|
587 |
-
"
|
|
|
|
|
|
|
|
|
|
|
588 |
"step": 750
|
589 |
},
|
590 |
{
|
591 |
-
"epoch":
|
592 |
-
"
|
593 |
-
"
|
594 |
-
"loss": 0.6292,
|
595 |
"step": 760
|
596 |
},
|
597 |
{
|
598 |
-
"epoch":
|
599 |
-
"
|
600 |
-
"
|
601 |
-
"loss": 0.6334,
|
602 |
"step": 770
|
603 |
},
|
604 |
{
|
605 |
-
"epoch":
|
606 |
-
"
|
607 |
-
"
|
608 |
-
"loss": 0.6187,
|
609 |
"step": 780
|
610 |
},
|
611 |
{
|
612 |
-
"epoch":
|
613 |
-
"
|
614 |
-
"
|
615 |
-
"loss": 0.6301,
|
616 |
"step": 790
|
617 |
},
|
618 |
{
|
619 |
-
"epoch":
|
620 |
-
"
|
621 |
-
"
|
622 |
-
"loss": 0.5877,
|
623 |
"step": 800
|
624 |
},
|
625 |
{
|
626 |
-
"epoch":
|
627 |
-
"
|
628 |
-
"
|
629 |
-
"loss": 0.5988,
|
630 |
"step": 810
|
631 |
},
|
632 |
{
|
633 |
-
"epoch":
|
634 |
-
"
|
635 |
-
"
|
636 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
637 |
"step": 820
|
638 |
},
|
639 |
{
|
640 |
-
"epoch":
|
641 |
-
"
|
642 |
-
"
|
643 |
-
"loss": 0.6522,
|
644 |
"step": 830
|
645 |
},
|
646 |
{
|
647 |
-
"epoch":
|
648 |
-
"
|
649 |
-
"
|
650 |
-
"loss": 0.6015,
|
651 |
"step": 840
|
652 |
},
|
653 |
{
|
654 |
-
"epoch": 6
|
655 |
-
"
|
656 |
-
"
|
657 |
-
"loss": 0.6019,
|
658 |
"step": 850
|
659 |
},
|
660 |
{
|
661 |
-
"epoch":
|
662 |
-
"
|
663 |
-
"
|
664 |
-
"loss": 0.6806,
|
665 |
"step": 860
|
666 |
},
|
667 |
{
|
668 |
-
"epoch":
|
669 |
-
"
|
670 |
-
"
|
671 |
-
"loss": 0.6227,
|
672 |
"step": 870
|
673 |
},
|
674 |
{
|
675 |
-
"epoch":
|
676 |
-
"eval_accuracy": 0.
|
677 |
-
"
|
678 |
-
"
|
679 |
-
"
|
680 |
-
"
|
681 |
-
"
|
|
|
|
|
|
|
682 |
},
|
683 |
{
|
684 |
-
"epoch":
|
685 |
-
"
|
686 |
-
"
|
687 |
-
"loss": 0.5791,
|
688 |
"step": 880
|
689 |
},
|
690 |
{
|
691 |
-
"epoch":
|
692 |
-
"
|
693 |
-
"
|
694 |
-
"loss": 0.6049,
|
695 |
"step": 890
|
696 |
},
|
697 |
{
|
698 |
-
"epoch":
|
699 |
-
"
|
700 |
-
"
|
701 |
-
"loss": 0.6177,
|
702 |
"step": 900
|
703 |
},
|
704 |
{
|
705 |
-
"epoch":
|
706 |
-
"
|
707 |
-
"
|
708 |
-
"loss": 0.5685,
|
709 |
"step": 910
|
710 |
},
|
711 |
{
|
712 |
-
"epoch":
|
713 |
-
"
|
714 |
-
"
|
715 |
-
"loss": 0.5914,
|
716 |
"step": 920
|
717 |
},
|
718 |
{
|
719 |
-
"epoch":
|
720 |
-
"
|
721 |
-
"
|
722 |
-
"loss": 0.6416,
|
723 |
"step": 930
|
724 |
},
|
725 |
{
|
726 |
-
"epoch":
|
727 |
-
"
|
728 |
-
"
|
729 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
730 |
"step": 940
|
731 |
},
|
732 |
{
|
733 |
-
"epoch":
|
734 |
-
"
|
735 |
-
"
|
736 |
-
"loss": 0.6198,
|
737 |
"step": 950
|
738 |
},
|
739 |
{
|
740 |
-
"epoch":
|
741 |
-
"
|
742 |
-
"
|
743 |
-
"loss": 0.5378,
|
744 |
"step": 960
|
745 |
},
|
746 |
{
|
747 |
-
"epoch":
|
748 |
-
"
|
749 |
-
"
|
750 |
-
"loss": 0.607,
|
751 |
"step": 970
|
752 |
},
|
753 |
{
|
754 |
-
"epoch":
|
755 |
-
"
|
756 |
-
"
|
757 |
-
"loss": 0.5962,
|
758 |
"step": 980
|
759 |
},
|
760 |
{
|
761 |
-
"epoch":
|
762 |
-
"
|
763 |
-
"
|
764 |
-
"loss": 0.6067,
|
765 |
"step": 990
|
766 |
},
|
767 |
{
|
768 |
-
"epoch":
|
769 |
-
"
|
770 |
-
"
|
771 |
-
"
|
772 |
-
"eval_samples_per_second": 107.07,
|
773 |
-
"eval_steps_per_second": 3.38,
|
774 |
-
"step": 998
|
775 |
},
|
776 |
{
|
777 |
-
"epoch":
|
778 |
-
"
|
779 |
-
"
|
780 |
-
"
|
|
|
|
|
|
|
|
|
|
|
781 |
"step": 1000
|
782 |
},
|
783 |
{
|
784 |
-
"epoch":
|
785 |
-
"
|
786 |
-
"
|
787 |
-
"loss": 0.5297,
|
788 |
"step": 1010
|
789 |
},
|
790 |
{
|
791 |
-
"epoch":
|
792 |
-
"
|
793 |
-
"
|
794 |
-
"loss": 0.5678,
|
795 |
"step": 1020
|
796 |
},
|
797 |
{
|
798 |
-
"epoch":
|
799 |
-
"
|
800 |
-
"
|
801 |
-
"loss": 0.5404,
|
802 |
"step": 1030
|
803 |
},
|
804 |
{
|
805 |
-
"epoch":
|
806 |
-
"
|
807 |
-
"
|
808 |
-
"loss": 0.535,
|
809 |
"step": 1040
|
810 |
},
|
811 |
{
|
812 |
-
"epoch": 8
|
813 |
-
"
|
814 |
-
"
|
815 |
-
"loss": 0.5622,
|
816 |
"step": 1050
|
817 |
},
|
818 |
{
|
819 |
-
"epoch":
|
820 |
-
"
|
821 |
-
"
|
822 |
-
"loss": 0.5527,
|
823 |
"step": 1060
|
824 |
},
|
825 |
{
|
826 |
-
"epoch":
|
827 |
-
"
|
828 |
-
"
|
829 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
830 |
"step": 1070
|
831 |
},
|
832 |
{
|
833 |
-
"epoch":
|
834 |
-
"
|
835 |
-
"
|
836 |
-
"loss": 0.608,
|
837 |
"step": 1080
|
838 |
},
|
839 |
{
|
840 |
-
"epoch":
|
841 |
-
"
|
842 |
-
"
|
843 |
-
"loss": 0.5628,
|
844 |
"step": 1090
|
845 |
},
|
846 |
{
|
847 |
-
"epoch":
|
848 |
-
"
|
849 |
-
"
|
850 |
-
"loss": 0.5076,
|
851 |
"step": 1100
|
852 |
},
|
853 |
{
|
854 |
-
"epoch":
|
855 |
-
"
|
856 |
-
"
|
857 |
-
"loss": 0.5299,
|
858 |
"step": 1110
|
859 |
},
|
860 |
{
|
861 |
-
"epoch":
|
862 |
-
"
|
863 |
-
"
|
864 |
-
"loss": 0.533,
|
865 |
"step": 1120
|
866 |
},
|
867 |
{
|
868 |
-
"epoch":
|
869 |
-
"eval_accuracy": 0.
|
870 |
-
"
|
871 |
-
"
|
872 |
-
"
|
873 |
-
"
|
874 |
-
"
|
|
|
|
|
|
|
875 |
},
|
876 |
{
|
877 |
-
"epoch":
|
878 |
-
"
|
879 |
-
"
|
880 |
-
"loss": 0.6276,
|
881 |
"step": 1130
|
882 |
},
|
883 |
{
|
884 |
-
"epoch":
|
885 |
-
"
|
886 |
-
"
|
887 |
-
"loss": 0.5674,
|
888 |
"step": 1140
|
889 |
},
|
890 |
{
|
891 |
-
"epoch":
|
892 |
-
"
|
893 |
-
"
|
894 |
-
"loss": 0.5189,
|
895 |
"step": 1150
|
896 |
},
|
897 |
{
|
898 |
-
"epoch":
|
899 |
-
"
|
900 |
-
"
|
901 |
-
"loss": 0.5086,
|
902 |
"step": 1160
|
903 |
},
|
904 |
{
|
905 |
-
"epoch":
|
906 |
-
"
|
907 |
-
"
|
908 |
-
"loss": 0.5137,
|
909 |
"step": 1170
|
910 |
},
|
911 |
{
|
912 |
-
"epoch":
|
913 |
-
"
|
914 |
-
"
|
915 |
-
"loss": 0.4647,
|
916 |
"step": 1180
|
917 |
},
|
918 |
{
|
919 |
-
"epoch":
|
920 |
-
"
|
921 |
-
"
|
922 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
923 |
"step": 1190
|
924 |
},
|
925 |
{
|
926 |
-
"epoch":
|
927 |
-
"
|
928 |
-
"
|
929 |
-
"loss": 0.5256,
|
930 |
"step": 1200
|
931 |
},
|
932 |
{
|
933 |
-
"epoch":
|
934 |
-
"
|
935 |
-
"
|
936 |
-
"loss": 0.5121,
|
937 |
"step": 1210
|
938 |
},
|
939 |
{
|
940 |
-
"epoch":
|
941 |
-
"
|
942 |
-
"
|
943 |
-
"loss": 0.5393,
|
944 |
"step": 1220
|
945 |
},
|
946 |
{
|
947 |
-
"epoch":
|
948 |
-
"
|
949 |
-
"
|
950 |
-
"loss": 0.478,
|
951 |
"step": 1230
|
952 |
},
|
953 |
{
|
954 |
-
"epoch":
|
955 |
-
"
|
956 |
-
"
|
957 |
-
"loss": 0.5423,
|
958 |
"step": 1240
|
959 |
},
|
960 |
{
|
961 |
-
"epoch":
|
962 |
-
"
|
963 |
-
"
|
964 |
-
"
|
965 |
-
"eval_samples_per_second": 106.94,
|
966 |
-
"eval_steps_per_second": 3.376,
|
967 |
-
"step": 1247
|
968 |
},
|
969 |
{
|
970 |
-
"epoch":
|
971 |
-
"
|
972 |
-
"
|
973 |
-
"
|
|
|
|
|
|
|
|
|
|
|
974 |
"step": 1250
|
975 |
},
|
976 |
{
|
977 |
-
"epoch":
|
978 |
-
"
|
979 |
-
"
|
980 |
-
"loss": 0.4834,
|
981 |
"step": 1260
|
982 |
},
|
983 |
{
|
984 |
-
"epoch":
|
985 |
-
"
|
986 |
-
"
|
987 |
-
"loss": 0.4799,
|
988 |
"step": 1270
|
989 |
},
|
990 |
{
|
991 |
-
"epoch":
|
992 |
-
"
|
993 |
-
"
|
994 |
-
"loss": 0.5015,
|
995 |
"step": 1280
|
996 |
},
|
997 |
{
|
998 |
-
"epoch":
|
999 |
-
"
|
1000 |
-
"
|
1001 |
-
"loss": 0.5561,
|
1002 |
"step": 1290
|
1003 |
},
|
1004 |
{
|
1005 |
-
"epoch":
|
1006 |
-
"
|
1007 |
-
"
|
1008 |
-
"loss": 0.479,
|
1009 |
"step": 1300
|
1010 |
},
|
1011 |
{
|
1012 |
-
"epoch":
|
1013 |
-
"
|
1014 |
-
"
|
1015 |
-
"loss": 0.5283,
|
1016 |
"step": 1310
|
1017 |
},
|
1018 |
{
|
1019 |
-
"epoch":
|
1020 |
-
"
|
1021 |
-
"
|
1022 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1023 |
"step": 1320
|
1024 |
},
|
1025 |
{
|
1026 |
-
"epoch":
|
1027 |
-
"
|
1028 |
-
"
|
1029 |
-
"loss": 0.4783,
|
1030 |
"step": 1330
|
1031 |
},
|
1032 |
{
|
1033 |
-
"epoch":
|
1034 |
-
"
|
1035 |
-
"
|
1036 |
-
"loss": 0.4997,
|
1037 |
"step": 1340
|
1038 |
},
|
1039 |
{
|
1040 |
-
"epoch":
|
1041 |
-
"
|
1042 |
-
"
|
1043 |
-
"loss": 0.4518,
|
1044 |
"step": 1350
|
1045 |
},
|
1046 |
{
|
1047 |
-
"epoch":
|
1048 |
-
"
|
1049 |
-
"
|
1050 |
-
"loss": 0.5313,
|
1051 |
"step": 1360
|
1052 |
},
|
1053 |
{
|
1054 |
-
"epoch":
|
1055 |
-
"
|
1056 |
-
"
|
1057 |
-
"loss": 0.4747,
|
1058 |
"step": 1370
|
1059 |
},
|
1060 |
{
|
1061 |
-
"epoch":
|
1062 |
-
"eval_accuracy": 0.
|
1063 |
-
"
|
1064 |
-
"
|
1065 |
-
"
|
1066 |
-
"
|
1067 |
-
"
|
|
|
|
|
|
|
1068 |
},
|
1069 |
{
|
1070 |
-
"epoch":
|
1071 |
-
"
|
1072 |
-
"
|
1073 |
-
"loss": 0.4848,
|
1074 |
"step": 1380
|
1075 |
},
|
1076 |
{
|
1077 |
-
"epoch":
|
1078 |
-
"
|
1079 |
-
"
|
1080 |
-
"loss": 0.4434,
|
1081 |
"step": 1390
|
1082 |
},
|
1083 |
{
|
1084 |
-
"epoch":
|
1085 |
-
"
|
1086 |
-
"
|
1087 |
-
"loss": 0.4665,
|
1088 |
"step": 1400
|
1089 |
},
|
1090 |
{
|
1091 |
-
"epoch":
|
1092 |
-
"
|
1093 |
-
"
|
1094 |
-
"loss": 0.45,
|
1095 |
"step": 1410
|
1096 |
},
|
1097 |
{
|
1098 |
-
"epoch":
|
1099 |
-
"
|
1100 |
-
"
|
1101 |
-
"loss": 0.5073,
|
1102 |
"step": 1420
|
1103 |
},
|
1104 |
{
|
1105 |
-
"epoch":
|
1106 |
-
"
|
1107 |
-
"
|
1108 |
-
"loss": 0.5099,
|
1109 |
"step": 1430
|
1110 |
},
|
1111 |
{
|
1112 |
-
"epoch":
|
1113 |
-
"
|
1114 |
-
"
|
1115 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1116 |
"step": 1440
|
1117 |
},
|
1118 |
{
|
1119 |
-
"epoch":
|
1120 |
-
"
|
1121 |
-
"
|
1122 |
-
"loss": 0.4723,
|
1123 |
"step": 1450
|
1124 |
},
|
1125 |
{
|
1126 |
-
"epoch":
|
1127 |
-
"
|
1128 |
-
"
|
1129 |
-
"loss": 0.4613,
|
1130 |
"step": 1460
|
1131 |
},
|
1132 |
{
|
1133 |
-
"epoch":
|
1134 |
-
"
|
1135 |
-
"
|
1136 |
-
"loss": 0.4884,
|
1137 |
"step": 1470
|
1138 |
},
|
1139 |
{
|
1140 |
-
"epoch":
|
1141 |
-
"
|
1142 |
-
"
|
1143 |
-
"loss": 0.4842,
|
1144 |
"step": 1480
|
1145 |
},
|
1146 |
{
|
1147 |
-
"epoch":
|
1148 |
-
"
|
1149 |
-
"
|
1150 |
-
"loss": 0.4367,
|
1151 |
"step": 1490
|
1152 |
},
|
1153 |
{
|
1154 |
-
"epoch":
|
1155 |
-
"
|
1156 |
-
"
|
1157 |
-
"eval_runtime": 16.5802,
|
1158 |
-
"eval_samples_per_second": 106.995,
|
1159 |
-
"eval_steps_per_second": 3.378,
|
1160 |
-
"step": 1497
|
1161 |
-
},
|
1162 |
-
{
|
1163 |
-
"epoch": 12.024048096192384,
|
1164 |
-
"grad_norm": 21.091793060302734,
|
1165 |
-
"learning_rate": 2.1953405017921146e-05,
|
1166 |
-
"loss": 0.4565,
|
1167 |
"step": 1500
|
1168 |
},
|
1169 |
{
|
1170 |
-
"epoch":
|
1171 |
-
"
|
1172 |
-
"
|
1173 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1174 |
"step": 1510
|
1175 |
},
|
1176 |
{
|
1177 |
-
"epoch":
|
1178 |
-
"
|
1179 |
-
"
|
1180 |
-
"loss": 0.4109,
|
1181 |
"step": 1520
|
1182 |
},
|
1183 |
{
|
1184 |
-
"epoch":
|
1185 |
-
"
|
1186 |
-
"
|
1187 |
-
"loss": 0.4572,
|
1188 |
"step": 1530
|
1189 |
},
|
1190 |
{
|
1191 |
-
"epoch":
|
1192 |
-
"
|
1193 |
-
"
|
1194 |
-
"loss": 0.4693,
|
1195 |
"step": 1540
|
1196 |
},
|
1197 |
{
|
1198 |
-
"epoch":
|
1199 |
-
"
|
1200 |
-
"
|
1201 |
-
"loss": 0.4446,
|
1202 |
"step": 1550
|
1203 |
},
|
1204 |
{
|
1205 |
-
"epoch":
|
1206 |
-
"
|
1207 |
-
"
|
1208 |
-
"loss": 0.4272,
|
1209 |
"step": 1560
|
1210 |
},
|
1211 |
{
|
1212 |
-
"epoch":
|
1213 |
-
"
|
1214 |
-
"
|
1215 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1216 |
"step": 1570
|
1217 |
},
|
1218 |
{
|
1219 |
-
"epoch":
|
1220 |
-
"
|
1221 |
-
"
|
1222 |
-
"loss": 0.4416,
|
1223 |
"step": 1580
|
1224 |
},
|
1225 |
{
|
1226 |
-
"epoch":
|
1227 |
-
"
|
1228 |
-
"
|
1229 |
-
"loss": 0.4517,
|
1230 |
"step": 1590
|
1231 |
},
|
1232 |
{
|
1233 |
-
"epoch":
|
1234 |
-
"
|
1235 |
-
"
|
1236 |
-
"loss": 0.4458,
|
1237 |
"step": 1600
|
1238 |
},
|
1239 |
{
|
1240 |
-
"epoch":
|
1241 |
-
"
|
1242 |
-
"
|
1243 |
-
"loss": 0.4362,
|
1244 |
"step": 1610
|
1245 |
},
|
1246 |
{
|
1247 |
-
"epoch":
|
1248 |
-
"
|
1249 |
-
"
|
1250 |
-
"loss": 0.4907,
|
1251 |
"step": 1620
|
1252 |
},
|
1253 |
{
|
1254 |
-
"epoch":
|
1255 |
-
"eval_accuracy": 0.
|
1256 |
-
"
|
1257 |
-
"
|
1258 |
-
"
|
1259 |
-
"
|
1260 |
-
"
|
1261 |
-
|
1262 |
-
|
1263 |
-
"
|
1264 |
-
|
1265 |
-
|
1266 |
-
"
|
|
|
|
|
1267 |
"step": 1630
|
1268 |
},
|
1269 |
{
|
1270 |
-
"epoch":
|
1271 |
-
"
|
1272 |
-
"
|
1273 |
-
"loss": 0.4026,
|
1274 |
"step": 1640
|
1275 |
},
|
1276 |
{
|
1277 |
-
"epoch":
|
1278 |
-
"
|
1279 |
-
"
|
1280 |
-
"loss": 0.4015,
|
1281 |
"step": 1650
|
1282 |
},
|
1283 |
{
|
1284 |
-
"epoch":
|
1285 |
-
"
|
1286 |
-
"
|
1287 |
-
"loss": 0.4238,
|
1288 |
"step": 1660
|
1289 |
},
|
1290 |
{
|
1291 |
-
"epoch":
|
1292 |
-
"
|
1293 |
-
"
|
1294 |
-
"loss": 0.4483,
|
1295 |
"step": 1670
|
1296 |
},
|
1297 |
{
|
1298 |
-
"epoch":
|
1299 |
-
"
|
1300 |
-
"
|
1301 |
-
"loss": 0.3972,
|
1302 |
"step": 1680
|
1303 |
},
|
1304 |
{
|
1305 |
-
"epoch":
|
1306 |
-
"
|
1307 |
-
"
|
1308 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1309 |
"step": 1690
|
1310 |
},
|
1311 |
{
|
1312 |
-
"epoch":
|
1313 |
-
"
|
1314 |
-
"
|
1315 |
-
"loss": 0.3985,
|
1316 |
"step": 1700
|
1317 |
},
|
1318 |
{
|
1319 |
-
"epoch":
|
1320 |
-
"
|
1321 |
-
"
|
1322 |
-
"loss": 0.4334,
|
1323 |
"step": 1710
|
1324 |
},
|
1325 |
{
|
1326 |
-
"epoch":
|
1327 |
-
"
|
1328 |
-
"
|
1329 |
-
"loss": 0.4494,
|
1330 |
"step": 1720
|
1331 |
},
|
1332 |
{
|
1333 |
-
"epoch":
|
1334 |
-
"
|
1335 |
-
"
|
1336 |
-
"loss": 0.4272,
|
1337 |
"step": 1730
|
1338 |
},
|
1339 |
{
|
1340 |
-
"epoch":
|
1341 |
-
"
|
1342 |
-
"
|
1343 |
-
"loss": 0.4269,
|
1344 |
"step": 1740
|
1345 |
},
|
1346 |
{
|
1347 |
-
"epoch":
|
1348 |
-
"
|
1349 |
-
"
|
1350 |
-
"
|
1351 |
-
"eval_samples_per_second": 106.972,
|
1352 |
-
"eval_steps_per_second": 3.377,
|
1353 |
-
"step": 1746
|
1354 |
},
|
1355 |
{
|
1356 |
-
"epoch":
|
1357 |
-
"
|
1358 |
-
"
|
1359 |
-
"
|
|
|
|
|
|
|
|
|
|
|
1360 |
"step": 1750
|
1361 |
},
|
1362 |
{
|
1363 |
-
"epoch":
|
1364 |
-
"
|
1365 |
-
"
|
1366 |
-
"loss": 0.4569,
|
1367 |
"step": 1760
|
1368 |
},
|
1369 |
{
|
1370 |
-
"epoch":
|
1371 |
-
"
|
1372 |
-
"
|
1373 |
-
"loss": 0.3897,
|
1374 |
"step": 1770
|
1375 |
},
|
1376 |
{
|
1377 |
-
"epoch":
|
1378 |
-
"
|
1379 |
-
"
|
1380 |
-
"loss": 0.375,
|
1381 |
"step": 1780
|
1382 |
},
|
1383 |
{
|
1384 |
-
"epoch":
|
1385 |
-
"
|
1386 |
-
"
|
1387 |
-
"loss": 0.3994,
|
1388 |
"step": 1790
|
1389 |
},
|
1390 |
{
|
1391 |
-
"epoch":
|
1392 |
-
"
|
1393 |
-
"
|
1394 |
-
"loss": 0.4204,
|
1395 |
"step": 1800
|
1396 |
},
|
1397 |
{
|
1398 |
-
"epoch":
|
1399 |
-
"
|
1400 |
-
"
|
1401 |
-
"loss": 0.4208,
|
1402 |
"step": 1810
|
1403 |
},
|
1404 |
{
|
1405 |
-
"epoch":
|
1406 |
-
"
|
1407 |
-
"
|
1408 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1409 |
"step": 1820
|
1410 |
},
|
1411 |
{
|
1412 |
-
"epoch":
|
1413 |
-
"
|
1414 |
-
"
|
1415 |
-
"loss": 0.3895,
|
1416 |
"step": 1830
|
1417 |
},
|
1418 |
{
|
1419 |
-
"epoch":
|
1420 |
-
"
|
1421 |
-
"
|
1422 |
-
"loss": 0.3871,
|
1423 |
"step": 1840
|
1424 |
},
|
1425 |
{
|
1426 |
-
"epoch":
|
1427 |
-
"
|
1428 |
-
"
|
1429 |
-
"loss": 0.4037,
|
1430 |
"step": 1850
|
1431 |
},
|
1432 |
{
|
1433 |
-
"epoch":
|
1434 |
-
"
|
1435 |
-
"
|
1436 |
-
"loss": 0.409,
|
1437 |
"step": 1860
|
1438 |
},
|
1439 |
{
|
1440 |
-
"epoch":
|
1441 |
-
"
|
1442 |
-
"
|
1443 |
-
"
|
1444 |
-
"
|
1445 |
-
|
1446 |
-
|
1447 |
-
"
|
1448 |
-
"
|
1449 |
-
"
|
1450 |
-
"eval_runtime": 16.5967,
|
1451 |
-
"eval_samples_per_second": 106.889,
|
1452 |
-
"eval_steps_per_second": 3.374,
|
1453 |
-
"step": 1871
|
1454 |
-
},
|
1455 |
-
{
|
1456 |
-
"epoch": 15.070140280561123,
|
1457 |
-
"grad_norm": 18.869020462036133,
|
1458 |
-
"learning_rate": 1.3440860215053763e-05,
|
1459 |
-
"loss": 0.3546,
|
1460 |
-
"step": 1880
|
1461 |
-
},
|
1462 |
-
{
|
1463 |
-
"epoch": 15.150300601202405,
|
1464 |
-
"grad_norm": 18.53528594970703,
|
1465 |
-
"learning_rate": 1.3216845878136202e-05,
|
1466 |
-
"loss": 0.3785,
|
1467 |
-
"step": 1890
|
1468 |
-
},
|
1469 |
-
{
|
1470 |
-
"epoch": 15.230460921843687,
|
1471 |
-
"grad_norm": 25.095417022705078,
|
1472 |
-
"learning_rate": 1.2992831541218639e-05,
|
1473 |
-
"loss": 0.3921,
|
1474 |
-
"step": 1900
|
1475 |
-
},
|
1476 |
-
{
|
1477 |
-
"epoch": 15.31062124248497,
|
1478 |
-
"grad_norm": 19.071975708007812,
|
1479 |
-
"learning_rate": 1.2768817204301076e-05,
|
1480 |
-
"loss": 0.3924,
|
1481 |
-
"step": 1910
|
1482 |
-
},
|
1483 |
-
{
|
1484 |
-
"epoch": 15.390781563126252,
|
1485 |
-
"grad_norm": 20.396650314331055,
|
1486 |
-
"learning_rate": 1.2544802867383513e-05,
|
1487 |
-
"loss": 0.3877,
|
1488 |
-
"step": 1920
|
1489 |
-
},
|
1490 |
-
{
|
1491 |
-
"epoch": 15.470941883767535,
|
1492 |
-
"grad_norm": 26.20189094543457,
|
1493 |
-
"learning_rate": 1.232078853046595e-05,
|
1494 |
-
"loss": 0.3408,
|
1495 |
-
"step": 1930
|
1496 |
-
},
|
1497 |
-
{
|
1498 |
-
"epoch": 15.551102204408817,
|
1499 |
-
"grad_norm": 25.609718322753906,
|
1500 |
-
"learning_rate": 1.2096774193548388e-05,
|
1501 |
-
"loss": 0.3554,
|
1502 |
-
"step": 1940
|
1503 |
-
},
|
1504 |
-
{
|
1505 |
-
"epoch": 15.6312625250501,
|
1506 |
-
"grad_norm": 22.300622940063477,
|
1507 |
-
"learning_rate": 1.1872759856630825e-05,
|
1508 |
-
"loss": 0.3408,
|
1509 |
-
"step": 1950
|
1510 |
-
},
|
1511 |
-
{
|
1512 |
-
"epoch": 15.711422845691382,
|
1513 |
-
"grad_norm": 21.68485450744629,
|
1514 |
-
"learning_rate": 1.1648745519713262e-05,
|
1515 |
-
"loss": 0.3534,
|
1516 |
-
"step": 1960
|
1517 |
-
},
|
1518 |
-
{
|
1519 |
-
"epoch": 15.791583166332666,
|
1520 |
-
"grad_norm": 21.4897518157959,
|
1521 |
-
"learning_rate": 1.14247311827957e-05,
|
1522 |
-
"loss": 0.3685,
|
1523 |
-
"step": 1970
|
1524 |
-
},
|
1525 |
-
{
|
1526 |
-
"epoch": 15.871743486973948,
|
1527 |
-
"grad_norm": 23.654247283935547,
|
1528 |
-
"learning_rate": 1.1200716845878136e-05,
|
1529 |
-
"loss": 0.4038,
|
1530 |
-
"step": 1980
|
1531 |
-
},
|
1532 |
-
{
|
1533 |
-
"epoch": 15.951903807615231,
|
1534 |
-
"grad_norm": 24.013349533081055,
|
1535 |
-
"learning_rate": 1.0976702508960573e-05,
|
1536 |
-
"loss": 0.3724,
|
1537 |
-
"step": 1990
|
1538 |
-
},
|
1539 |
-
{
|
1540 |
-
"epoch": 16.0,
|
1541 |
-
"eval_accuracy": 0.8714768883878241,
|
1542 |
-
"eval_loss": 0.42415910959243774,
|
1543 |
-
"eval_runtime": 16.5547,
|
1544 |
-
"eval_samples_per_second": 107.16,
|
1545 |
-
"eval_steps_per_second": 3.383,
|
1546 |
-
"step": 1996
|
1547 |
-
},
|
1548 |
-
{
|
1549 |
-
"epoch": 16.03206412825651,
|
1550 |
-
"grad_norm": 19.16984748840332,
|
1551 |
-
"learning_rate": 1.0752688172043012e-05,
|
1552 |
-
"loss": 0.3318,
|
1553 |
-
"step": 2000
|
1554 |
-
},
|
1555 |
-
{
|
1556 |
-
"epoch": 16.112224448897795,
|
1557 |
-
"grad_norm": 25.895992279052734,
|
1558 |
-
"learning_rate": 1.0528673835125449e-05,
|
1559 |
-
"loss": 0.3325,
|
1560 |
-
"step": 2010
|
1561 |
-
},
|
1562 |
-
{
|
1563 |
-
"epoch": 16.19238476953908,
|
1564 |
-
"grad_norm": 22.940765380859375,
|
1565 |
-
"learning_rate": 1.0304659498207886e-05,
|
1566 |
-
"loss": 0.3384,
|
1567 |
-
"step": 2020
|
1568 |
-
},
|
1569 |
-
{
|
1570 |
-
"epoch": 16.272545090180362,
|
1571 |
-
"grad_norm": 16.38847541809082,
|
1572 |
-
"learning_rate": 1.0080645161290323e-05,
|
1573 |
-
"loss": 0.3289,
|
1574 |
-
"step": 2030
|
1575 |
-
},
|
1576 |
-
{
|
1577 |
-
"epoch": 16.352705410821642,
|
1578 |
-
"grad_norm": 15.670344352722168,
|
1579 |
-
"learning_rate": 9.856630824372761e-06,
|
1580 |
-
"loss": 0.3289,
|
1581 |
-
"step": 2040
|
1582 |
-
},
|
1583 |
-
{
|
1584 |
-
"epoch": 16.432865731462925,
|
1585 |
-
"grad_norm": 16.80422019958496,
|
1586 |
-
"learning_rate": 9.632616487455196e-06,
|
1587 |
-
"loss": 0.3387,
|
1588 |
-
"step": 2050
|
1589 |
-
},
|
1590 |
-
{
|
1591 |
-
"epoch": 16.51302605210421,
|
1592 |
-
"grad_norm": 17.764860153198242,
|
1593 |
-
"learning_rate": 9.408602150537635e-06,
|
1594 |
-
"loss": 0.3979,
|
1595 |
-
"step": 2060
|
1596 |
-
},
|
1597 |
-
{
|
1598 |
-
"epoch": 16.593186372745492,
|
1599 |
-
"grad_norm": 18.336956024169922,
|
1600 |
-
"learning_rate": 9.184587813620072e-06,
|
1601 |
-
"loss": 0.4002,
|
1602 |
-
"step": 2070
|
1603 |
-
},
|
1604 |
-
{
|
1605 |
-
"epoch": 16.673346693386772,
|
1606 |
-
"grad_norm": 16.667768478393555,
|
1607 |
-
"learning_rate": 8.960573476702509e-06,
|
1608 |
-
"loss": 0.3401,
|
1609 |
-
"step": 2080
|
1610 |
-
},
|
1611 |
-
{
|
1612 |
-
"epoch": 16.753507014028056,
|
1613 |
-
"grad_norm": 15.367273330688477,
|
1614 |
-
"learning_rate": 8.736559139784948e-06,
|
1615 |
-
"loss": 0.4036,
|
1616 |
-
"step": 2090
|
1617 |
-
},
|
1618 |
-
{
|
1619 |
-
"epoch": 16.83366733466934,
|
1620 |
-
"grad_norm": 22.505924224853516,
|
1621 |
-
"learning_rate": 8.512544802867385e-06,
|
1622 |
-
"loss": 0.3287,
|
1623 |
-
"step": 2100
|
1624 |
-
},
|
1625 |
-
{
|
1626 |
-
"epoch": 16.91382765531062,
|
1627 |
-
"grad_norm": 17.039518356323242,
|
1628 |
-
"learning_rate": 8.288530465949821e-06,
|
1629 |
-
"loss": 0.3105,
|
1630 |
-
"step": 2110
|
1631 |
-
},
|
1632 |
-
{
|
1633 |
-
"epoch": 16.993987975951903,
|
1634 |
-
"grad_norm": 24.149869918823242,
|
1635 |
-
"learning_rate": 8.064516129032258e-06,
|
1636 |
-
"loss": 0.354,
|
1637 |
-
"step": 2120
|
1638 |
-
},
|
1639 |
-
{
|
1640 |
-
"epoch": 16.993987975951903,
|
1641 |
-
"eval_accuracy": 0.8528748590755355,
|
1642 |
-
"eval_loss": 0.45945772528648376,
|
1643 |
-
"eval_runtime": 16.5552,
|
1644 |
-
"eval_samples_per_second": 107.156,
|
1645 |
-
"eval_steps_per_second": 3.383,
|
1646 |
-
"step": 2120
|
1647 |
-
},
|
1648 |
-
{
|
1649 |
-
"epoch": 17.074148296593187,
|
1650 |
-
"grad_norm": 23.050357818603516,
|
1651 |
-
"learning_rate": 7.840501792114695e-06,
|
1652 |
-
"loss": 0.3518,
|
1653 |
-
"step": 2130
|
1654 |
-
},
|
1655 |
-
{
|
1656 |
-
"epoch": 17.15430861723447,
|
1657 |
-
"grad_norm": 17.574710845947266,
|
1658 |
-
"learning_rate": 7.616487455197132e-06,
|
1659 |
-
"loss": 0.3024,
|
1660 |
-
"step": 2140
|
1661 |
-
},
|
1662 |
-
{
|
1663 |
-
"epoch": 17.23446893787575,
|
1664 |
-
"grad_norm": 27.150959014892578,
|
1665 |
-
"learning_rate": 7.392473118279571e-06,
|
1666 |
-
"loss": 0.3482,
|
1667 |
-
"step": 2150
|
1668 |
-
},
|
1669 |
-
{
|
1670 |
-
"epoch": 17.314629258517034,
|
1671 |
-
"grad_norm": 25.671140670776367,
|
1672 |
-
"learning_rate": 7.168458781362007e-06,
|
1673 |
-
"loss": 0.3461,
|
1674 |
-
"step": 2160
|
1675 |
-
},
|
1676 |
-
{
|
1677 |
-
"epoch": 17.394789579158317,
|
1678 |
-
"grad_norm": 23.23431968688965,
|
1679 |
-
"learning_rate": 6.944444444444445e-06,
|
1680 |
-
"loss": 0.3502,
|
1681 |
-
"step": 2170
|
1682 |
-
},
|
1683 |
-
{
|
1684 |
-
"epoch": 17.4749498997996,
|
1685 |
-
"grad_norm": 25.251195907592773,
|
1686 |
-
"learning_rate": 6.720430107526882e-06,
|
1687 |
-
"loss": 0.3505,
|
1688 |
-
"step": 2180
|
1689 |
-
},
|
1690 |
-
{
|
1691 |
-
"epoch": 17.55511022044088,
|
1692 |
-
"grad_norm": 18.16839027404785,
|
1693 |
-
"learning_rate": 6.4964157706093195e-06,
|
1694 |
-
"loss": 0.3401,
|
1695 |
-
"step": 2190
|
1696 |
-
},
|
1697 |
-
{
|
1698 |
-
"epoch": 17.635270541082164,
|
1699 |
-
"grad_norm": 17.334238052368164,
|
1700 |
-
"learning_rate": 6.2724014336917564e-06,
|
1701 |
-
"loss": 0.3182,
|
1702 |
-
"step": 2200
|
1703 |
-
},
|
1704 |
-
{
|
1705 |
-
"epoch": 17.715430861723448,
|
1706 |
-
"grad_norm": 23.427167892456055,
|
1707 |
-
"learning_rate": 6.048387096774194e-06,
|
1708 |
-
"loss": 0.2838,
|
1709 |
-
"step": 2210
|
1710 |
-
},
|
1711 |
-
{
|
1712 |
-
"epoch": 17.79559118236473,
|
1713 |
-
"grad_norm": 25.35896110534668,
|
1714 |
-
"learning_rate": 5.824372759856631e-06,
|
1715 |
-
"loss": 0.31,
|
1716 |
-
"step": 2220
|
1717 |
-
},
|
1718 |
-
{
|
1719 |
-
"epoch": 17.87575150300601,
|
1720 |
-
"grad_norm": 22.105119705200195,
|
1721 |
-
"learning_rate": 5.600358422939068e-06,
|
1722 |
-
"loss": 0.3231,
|
1723 |
-
"step": 2230
|
1724 |
-
},
|
1725 |
-
{
|
1726 |
-
"epoch": 17.955911823647295,
|
1727 |
-
"grad_norm": 33.91689682006836,
|
1728 |
-
"learning_rate": 5.376344086021506e-06,
|
1729 |
-
"loss": 0.3304,
|
1730 |
-
"step": 2240
|
1731 |
-
},
|
1732 |
-
{
|
1733 |
-
"epoch": 17.995991983967937,
|
1734 |
-
"eval_accuracy": 0.8562570462232244,
|
1735 |
-
"eval_loss": 0.45429307222366333,
|
1736 |
-
"eval_runtime": 17.1301,
|
1737 |
-
"eval_samples_per_second": 103.561,
|
1738 |
-
"eval_steps_per_second": 3.269,
|
1739 |
-
"step": 2245
|
1740 |
-
},
|
1741 |
-
{
|
1742 |
-
"epoch": 18.03607214428858,
|
1743 |
-
"grad_norm": 17.72748374938965,
|
1744 |
-
"learning_rate": 5.152329749103943e-06,
|
1745 |
-
"loss": 0.3273,
|
1746 |
-
"step": 2250
|
1747 |
-
},
|
1748 |
-
{
|
1749 |
-
"epoch": 18.11623246492986,
|
1750 |
-
"grad_norm": 15.051362991333008,
|
1751 |
-
"learning_rate": 4.928315412186381e-06,
|
1752 |
-
"loss": 0.2583,
|
1753 |
-
"step": 2260
|
1754 |
-
},
|
1755 |
-
{
|
1756 |
-
"epoch": 18.196392785571142,
|
1757 |
-
"grad_norm": 15.139473915100098,
|
1758 |
-
"learning_rate": 4.7043010752688175e-06,
|
1759 |
-
"loss": 0.2711,
|
1760 |
-
"step": 2270
|
1761 |
-
},
|
1762 |
-
{
|
1763 |
-
"epoch": 18.276553106212425,
|
1764 |
-
"grad_norm": 23.201719284057617,
|
1765 |
-
"learning_rate": 4.4802867383512545e-06,
|
1766 |
-
"loss": 0.3015,
|
1767 |
-
"step": 2280
|
1768 |
-
},
|
1769 |
-
{
|
1770 |
-
"epoch": 18.35671342685371,
|
1771 |
-
"grad_norm": 30.31717872619629,
|
1772 |
-
"learning_rate": 4.256272401433692e-06,
|
1773 |
-
"loss": 0.321,
|
1774 |
-
"step": 2290
|
1775 |
-
},
|
1776 |
-
{
|
1777 |
-
"epoch": 18.43687374749499,
|
1778 |
-
"grad_norm": 21.005664825439453,
|
1779 |
-
"learning_rate": 4.032258064516129e-06,
|
1780 |
-
"loss": 0.2887,
|
1781 |
-
"step": 2300
|
1782 |
-
},
|
1783 |
-
{
|
1784 |
-
"epoch": 18.517034068136272,
|
1785 |
-
"grad_norm": 14.847023963928223,
|
1786 |
-
"learning_rate": 3.808243727598566e-06,
|
1787 |
-
"loss": 0.2821,
|
1788 |
-
"step": 2310
|
1789 |
-
},
|
1790 |
-
{
|
1791 |
-
"epoch": 18.597194388777556,
|
1792 |
-
"grad_norm": 20.269981384277344,
|
1793 |
-
"learning_rate": 3.5842293906810035e-06,
|
1794 |
-
"loss": 0.2938,
|
1795 |
-
"step": 2320
|
1796 |
-
},
|
1797 |
-
{
|
1798 |
-
"epoch": 18.677354709418836,
|
1799 |
-
"grad_norm": 18.943777084350586,
|
1800 |
-
"learning_rate": 3.360215053763441e-06,
|
1801 |
-
"loss": 0.2936,
|
1802 |
-
"step": 2330
|
1803 |
-
},
|
1804 |
-
{
|
1805 |
-
"epoch": 18.75751503006012,
|
1806 |
-
"grad_norm": 17.58114242553711,
|
1807 |
-
"learning_rate": 3.1362007168458782e-06,
|
1808 |
-
"loss": 0.2801,
|
1809 |
-
"step": 2340
|
1810 |
-
},
|
1811 |
-
{
|
1812 |
-
"epoch": 18.837675350701403,
|
1813 |
-
"grad_norm": 18.223283767700195,
|
1814 |
-
"learning_rate": 2.9121863799283156e-06,
|
1815 |
-
"loss": 0.2792,
|
1816 |
-
"step": 2350
|
1817 |
-
},
|
1818 |
-
{
|
1819 |
-
"epoch": 18.917835671342687,
|
1820 |
-
"grad_norm": 19.910411834716797,
|
1821 |
-
"learning_rate": 2.688172043010753e-06,
|
1822 |
-
"loss": 0.3133,
|
1823 |
-
"step": 2360
|
1824 |
-
},
|
1825 |
-
{
|
1826 |
-
"epoch": 18.997995991983966,
|
1827 |
-
"grad_norm": 18.749902725219727,
|
1828 |
-
"learning_rate": 2.4641577060931903e-06,
|
1829 |
-
"loss": 0.2849,
|
1830 |
-
"step": 2370
|
1831 |
-
},
|
1832 |
-
{
|
1833 |
-
"epoch": 18.997995991983966,
|
1834 |
-
"eval_accuracy": 0.8607666290868095,
|
1835 |
-
"eval_loss": 0.4698711931705475,
|
1836 |
-
"eval_runtime": 16.5801,
|
1837 |
-
"eval_samples_per_second": 106.996,
|
1838 |
-
"eval_steps_per_second": 3.378,
|
1839 |
-
"step": 2370
|
1840 |
-
},
|
1841 |
-
{
|
1842 |
-
"epoch": 19.07815631262525,
|
1843 |
-
"grad_norm": 16.722375869750977,
|
1844 |
-
"learning_rate": 2.2401433691756272e-06,
|
1845 |
-
"loss": 0.3041,
|
1846 |
-
"step": 2380
|
1847 |
-
},
|
1848 |
-
{
|
1849 |
-
"epoch": 19.158316633266534,
|
1850 |
-
"grad_norm": 23.04833221435547,
|
1851 |
-
"learning_rate": 2.0161290322580646e-06,
|
1852 |
-
"loss": 0.301,
|
1853 |
-
"step": 2390
|
1854 |
-
},
|
1855 |
-
{
|
1856 |
-
"epoch": 19.238476953907817,
|
1857 |
-
"grad_norm": 20.021759033203125,
|
1858 |
-
"learning_rate": 1.7921146953405017e-06,
|
1859 |
-
"loss": 0.2723,
|
1860 |
-
"step": 2400
|
1861 |
-
},
|
1862 |
-
{
|
1863 |
-
"epoch": 19.318637274549097,
|
1864 |
-
"grad_norm": 18.34398078918457,
|
1865 |
-
"learning_rate": 1.5681003584229391e-06,
|
1866 |
-
"loss": 0.2484,
|
1867 |
-
"step": 2410
|
1868 |
-
},
|
1869 |
-
{
|
1870 |
-
"epoch": 19.39879759519038,
|
1871 |
-
"grad_norm": 18.83694839477539,
|
1872 |
-
"learning_rate": 1.3440860215053765e-06,
|
1873 |
-
"loss": 0.3204,
|
1874 |
-
"step": 2420
|
1875 |
-
},
|
1876 |
-
{
|
1877 |
-
"epoch": 19.478957915831664,
|
1878 |
-
"grad_norm": 16.674007415771484,
|
1879 |
-
"learning_rate": 1.1200716845878136e-06,
|
1880 |
-
"loss": 0.3034,
|
1881 |
-
"step": 2430
|
1882 |
-
},
|
1883 |
-
{
|
1884 |
-
"epoch": 19.559118236472948,
|
1885 |
-
"grad_norm": 28.710783004760742,
|
1886 |
-
"learning_rate": 8.960573476702509e-07,
|
1887 |
-
"loss": 0.3078,
|
1888 |
-
"step": 2440
|
1889 |
-
},
|
1890 |
-
{
|
1891 |
-
"epoch": 19.639278557114228,
|
1892 |
-
"grad_norm": 18.92753791809082,
|
1893 |
-
"learning_rate": 6.720430107526882e-07,
|
1894 |
-
"loss": 0.2644,
|
1895 |
-
"step": 2450
|
1896 |
-
},
|
1897 |
-
{
|
1898 |
-
"epoch": 19.71943887775551,
|
1899 |
-
"grad_norm": 17.13638687133789,
|
1900 |
-
"learning_rate": 4.4802867383512544e-07,
|
1901 |
-
"loss": 0.2673,
|
1902 |
-
"step": 2460
|
1903 |
-
},
|
1904 |
-
{
|
1905 |
-
"epoch": 19.799599198396795,
|
1906 |
-
"grad_norm": 18.35292625427246,
|
1907 |
-
"learning_rate": 2.2401433691756272e-07,
|
1908 |
-
"loss": 0.2569,
|
1909 |
-
"step": 2470
|
1910 |
},
|
1911 |
{
|
1912 |
-
"epoch":
|
1913 |
-
"
|
1914 |
-
"
|
1915 |
-
"
|
1916 |
-
"
|
1917 |
-
|
1918 |
-
|
1919 |
-
"epoch": 19.879759519038075,
|
1920 |
-
"eval_accuracy": 0.8664036076662909,
|
1921 |
-
"eval_loss": 0.4505213499069214,
|
1922 |
-
"eval_runtime": 16.6944,
|
1923 |
-
"eval_samples_per_second": 106.263,
|
1924 |
-
"eval_steps_per_second": 3.354,
|
1925 |
-
"step": 2480
|
1926 |
-
},
|
1927 |
-
{
|
1928 |
-
"epoch": 19.879759519038075,
|
1929 |
-
"step": 2480,
|
1930 |
-
"total_flos": 8.259382470828884e+18,
|
1931 |
-
"train_loss": 0.5719680822664691,
|
1932 |
-
"train_runtime": 7149.119,
|
1933 |
-
"train_samples_per_second": 44.654,
|
1934 |
-
"train_steps_per_second": 0.347
|
1935 |
}
|
1936 |
],
|
1937 |
"logging_steps": 10,
|
1938 |
-
"max_steps":
|
1939 |
"num_input_tokens_seen": 0,
|
1940 |
-
"num_train_epochs":
|
1941 |
"save_steps": 500,
|
1942 |
-
"total_flos":
|
1943 |
-
"train_batch_size":
|
1944 |
"trial_name": null,
|
1945 |
"trial_params": null
|
1946 |
}
|
|
|
1 |
{
|
2 |
+
"best_metric": 0.8562570462232244,
|
3 |
+
"best_model_checkpoint": "dinov2-small-imagenet1k-1-layer-finetuned-galaxy10-decals/checkpoint-1750",
|
4 |
+
"epoch": 29.76,
|
5 |
"eval_steps": 500,
|
6 |
+
"global_step": 1860,
|
7 |
"is_hyper_param_search": false,
|
8 |
"is_local_process_zero": true,
|
9 |
"is_world_process_zero": true,
|
10 |
"log_history": [
|
11 |
{
|
12 |
+
"epoch": 0.16,
|
13 |
+
"learning_rate": 2.688172043010753e-06,
|
14 |
+
"loss": 2.558,
|
|
|
15 |
"step": 10
|
16 |
},
|
17 |
{
|
18 |
+
"epoch": 0.32,
|
19 |
+
"learning_rate": 5.376344086021506e-06,
|
20 |
+
"loss": 2.0637,
|
|
|
21 |
"step": 20
|
22 |
},
|
23 |
{
|
24 |
+
"epoch": 0.48,
|
25 |
+
"learning_rate": 8.064516129032258e-06,
|
26 |
+
"loss": 1.6881,
|
|
|
27 |
"step": 30
|
28 |
},
|
29 |
{
|
30 |
+
"epoch": 0.64,
|
31 |
+
"learning_rate": 1.0752688172043012e-05,
|
32 |
+
"loss": 1.4019,
|
|
|
33 |
"step": 40
|
34 |
},
|
35 |
{
|
36 |
+
"epoch": 0.8,
|
37 |
+
"learning_rate": 1.3440860215053763e-05,
|
38 |
+
"loss": 1.2171,
|
|
|
39 |
"step": 50
|
40 |
},
|
41 |
{
|
42 |
+
"epoch": 0.96,
|
43 |
+
"learning_rate": 1.6129032258064517e-05,
|
44 |
+
"loss": 1.0027,
|
|
|
45 |
"step": 60
|
46 |
},
|
47 |
{
|
48 |
+
"epoch": 0.99,
|
49 |
+
"eval_accuracy": 0.7080045095828635,
|
50 |
+
"eval_f1": 0.7016603472901116,
|
51 |
+
"eval_loss": 0.8262113928794861,
|
52 |
+
"eval_precision": 0.7230853006708634,
|
53 |
+
"eval_recall": 0.7080045095828635,
|
54 |
+
"eval_runtime": 10.7016,
|
55 |
+
"eval_samples_per_second": 165.77,
|
56 |
+
"eval_steps_per_second": 2.616,
|
57 |
+
"step": 62
|
58 |
+
},
|
59 |
+
{
|
60 |
+
"epoch": 1.12,
|
61 |
+
"learning_rate": 1.881720430107527e-05,
|
62 |
+
"loss": 0.9389,
|
63 |
"step": 70
|
64 |
},
|
65 |
{
|
66 |
+
"epoch": 1.28,
|
67 |
+
"learning_rate": 2.1505376344086024e-05,
|
68 |
+
"loss": 0.9166,
|
|
|
69 |
"step": 80
|
70 |
},
|
71 |
{
|
72 |
+
"epoch": 1.44,
|
73 |
+
"learning_rate": 2.4193548387096777e-05,
|
74 |
+
"loss": 0.8792,
|
|
|
75 |
"step": 90
|
76 |
},
|
77 |
{
|
78 |
+
"epoch": 1.6,
|
79 |
+
"learning_rate": 2.6881720430107527e-05,
|
80 |
+
"loss": 0.8329,
|
|
|
81 |
"step": 100
|
82 |
},
|
83 |
{
|
84 |
+
"epoch": 1.76,
|
85 |
+
"learning_rate": 2.9569892473118284e-05,
|
86 |
+
"loss": 0.7826,
|
|
|
87 |
"step": 110
|
88 |
},
|
89 |
{
|
90 |
+
"epoch": 1.92,
|
91 |
+
"learning_rate": 3.2258064516129034e-05,
|
92 |
+
"loss": 0.8374,
|
|
|
93 |
"step": 120
|
94 |
},
|
95 |
{
|
96 |
+
"epoch": 2.0,
|
97 |
+
"eval_accuracy": 0.7948139797068771,
|
98 |
+
"eval_f1": 0.789920738225672,
|
99 |
+
"eval_loss": 0.612916111946106,
|
100 |
+
"eval_precision": 0.7960304264137663,
|
101 |
+
"eval_recall": 0.7948139797068771,
|
102 |
+
"eval_runtime": 9.6957,
|
103 |
+
"eval_samples_per_second": 182.968,
|
104 |
+
"eval_steps_per_second": 2.888,
|
105 |
+
"step": 125
|
106 |
},
|
107 |
{
|
108 |
+
"epoch": 2.08,
|
109 |
+
"learning_rate": 3.494623655913979e-05,
|
110 |
+
"loss": 0.804,
|
|
|
111 |
"step": 130
|
112 |
},
|
113 |
{
|
114 |
+
"epoch": 2.24,
|
115 |
+
"learning_rate": 3.763440860215054e-05,
|
116 |
+
"loss": 0.8107,
|
|
|
117 |
"step": 140
|
118 |
},
|
119 |
{
|
120 |
+
"epoch": 2.4,
|
121 |
+
"learning_rate": 4.032258064516129e-05,
|
122 |
+
"loss": 0.791,
|
|
|
123 |
"step": 150
|
124 |
},
|
125 |
{
|
126 |
+
"epoch": 2.56,
|
127 |
+
"learning_rate": 4.301075268817205e-05,
|
128 |
+
"loss": 0.7538,
|
|
|
129 |
"step": 160
|
130 |
},
|
131 |
{
|
132 |
+
"epoch": 2.72,
|
133 |
+
"learning_rate": 4.56989247311828e-05,
|
134 |
+
"loss": 0.7667,
|
|
|
135 |
"step": 170
|
136 |
},
|
137 |
{
|
138 |
+
"epoch": 2.88,
|
139 |
+
"learning_rate": 4.8387096774193554e-05,
|
140 |
+
"loss": 0.7753,
|
|
|
141 |
"step": 180
|
142 |
},
|
143 |
{
|
144 |
+
"epoch": 2.99,
|
145 |
+
"eval_accuracy": 0.7891770011273957,
|
146 |
+
"eval_f1": 0.7786862536985929,
|
147 |
+
"eval_loss": 0.6555072665214539,
|
148 |
+
"eval_precision": 0.792054417969131,
|
149 |
+
"eval_recall": 0.7891770011273957,
|
150 |
+
"eval_runtime": 9.4242,
|
151 |
+
"eval_samples_per_second": 188.238,
|
152 |
+
"eval_steps_per_second": 2.971,
|
153 |
+
"step": 187
|
154 |
+
},
|
155 |
+
{
|
156 |
+
"epoch": 3.04,
|
157 |
+
"learning_rate": 4.98805256869773e-05,
|
158 |
+
"loss": 0.8543,
|
159 |
"step": 190
|
160 |
},
|
161 |
{
|
162 |
+
"epoch": 3.2,
|
163 |
+
"learning_rate": 4.9581839904420555e-05,
|
164 |
+
"loss": 0.7868,
|
|
|
165 |
"step": 200
|
166 |
},
|
167 |
{
|
168 |
+
"epoch": 3.36,
|
169 |
+
"learning_rate": 4.92831541218638e-05,
|
170 |
+
"loss": 0.7524,
|
|
|
171 |
"step": 210
|
172 |
},
|
173 |
{
|
174 |
+
"epoch": 3.52,
|
175 |
+
"learning_rate": 4.898446833930705e-05,
|
176 |
+
"loss": 0.803,
|
|
|
177 |
"step": 220
|
178 |
},
|
179 |
{
|
180 |
+
"epoch": 3.68,
|
181 |
+
"learning_rate": 4.86857825567503e-05,
|
182 |
+
"loss": 0.7192,
|
|
|
183 |
"step": 230
|
184 |
},
|
185 |
{
|
186 |
+
"epoch": 3.84,
|
|
|
187 |
"learning_rate": 4.8387096774193554e-05,
|
188 |
+
"loss": 0.7813,
|
189 |
"step": 240
|
190 |
},
|
191 |
{
|
192 |
+
"epoch": 4.0,
|
193 |
+
"learning_rate": 4.80884109916368e-05,
|
194 |
+
"loss": 0.7165,
|
195 |
+
"step": 250
|
|
|
|
|
|
|
196 |
},
|
197 |
{
|
198 |
+
"epoch": 4.0,
|
199 |
+
"eval_accuracy": 0.8004509582863585,
|
200 |
+
"eval_f1": 0.7970428033398866,
|
201 |
+
"eval_loss": 0.5862058401107788,
|
202 |
+
"eval_precision": 0.8052638185635553,
|
203 |
+
"eval_recall": 0.8004509582863585,
|
204 |
+
"eval_runtime": 9.4111,
|
205 |
+
"eval_samples_per_second": 188.5,
|
206 |
+
"eval_steps_per_second": 2.975,
|
207 |
"step": 250
|
208 |
},
|
209 |
{
|
210 |
+
"epoch": 4.16,
|
211 |
+
"learning_rate": 4.778972520908005e-05,
|
212 |
+
"loss": 0.728,
|
|
|
213 |
"step": 260
|
214 |
},
|
215 |
{
|
216 |
+
"epoch": 4.32,
|
217 |
+
"learning_rate": 4.74910394265233e-05,
|
218 |
+
"loss": 0.7121,
|
|
|
219 |
"step": 270
|
220 |
},
|
221 |
{
|
222 |
+
"epoch": 4.48,
|
223 |
+
"learning_rate": 4.7192353643966546e-05,
|
224 |
+
"loss": 0.6889,
|
|
|
225 |
"step": 280
|
226 |
},
|
227 |
{
|
228 |
+
"epoch": 4.64,
|
229 |
+
"learning_rate": 4.6893667861409805e-05,
|
230 |
+
"loss": 0.6748,
|
|
|
231 |
"step": 290
|
232 |
},
|
233 |
{
|
234 |
+
"epoch": 4.8,
|
235 |
+
"learning_rate": 4.659498207885305e-05,
|
236 |
+
"loss": 0.7071,
|
|
|
237 |
"step": 300
|
238 |
},
|
239 |
{
|
240 |
+
"epoch": 4.96,
|
241 |
+
"learning_rate": 4.62962962962963e-05,
|
242 |
+
"loss": 0.6477,
|
|
|
243 |
"step": 310
|
244 |
},
|
245 |
{
|
246 |
+
"epoch": 4.99,
|
247 |
+
"eval_accuracy": 0.7965050732807215,
|
248 |
+
"eval_f1": 0.7985277928131062,
|
249 |
+
"eval_loss": 0.6183481216430664,
|
250 |
+
"eval_precision": 0.8118777372534622,
|
251 |
+
"eval_recall": 0.7965050732807215,
|
252 |
+
"eval_runtime": 9.6246,
|
253 |
+
"eval_samples_per_second": 184.32,
|
254 |
+
"eval_steps_per_second": 2.909,
|
255 |
+
"step": 312
|
256 |
+
},
|
257 |
+
{
|
258 |
+
"epoch": 5.12,
|
259 |
+
"learning_rate": 4.5997610513739546e-05,
|
260 |
+
"loss": 0.6682,
|
261 |
"step": 320
|
262 |
},
|
263 |
{
|
264 |
+
"epoch": 5.28,
|
265 |
+
"learning_rate": 4.56989247311828e-05,
|
266 |
+
"loss": 0.6595,
|
|
|
267 |
"step": 330
|
268 |
},
|
269 |
{
|
270 |
+
"epoch": 5.44,
|
271 |
+
"learning_rate": 4.540023894862604e-05,
|
272 |
+
"loss": 0.6427,
|
|
|
273 |
"step": 340
|
274 |
},
|
275 |
{
|
276 |
+
"epoch": 5.6,
|
277 |
+
"learning_rate": 4.51015531660693e-05,
|
278 |
+
"loss": 0.6044,
|
|
|
279 |
"step": 350
|
280 |
},
|
281 |
{
|
282 |
+
"epoch": 5.76,
|
283 |
+
"learning_rate": 4.4802867383512545e-05,
|
284 |
+
"loss": 0.6392,
|
|
|
285 |
"step": 360
|
286 |
},
|
287 |
{
|
288 |
+
"epoch": 5.92,
|
289 |
+
"learning_rate": 4.4504181600955796e-05,
|
290 |
+
"loss": 0.6892,
|
|
|
291 |
"step": 370
|
292 |
},
|
293 |
{
|
294 |
+
"epoch": 6.0,
|
295 |
+
"eval_accuracy": 0.8246899661781285,
|
296 |
+
"eval_f1": 0.8194968508495551,
|
297 |
+
"eval_loss": 0.530994176864624,
|
298 |
+
"eval_precision": 0.8274763562734486,
|
299 |
+
"eval_recall": 0.8246899661781285,
|
300 |
+
"eval_runtime": 9.4059,
|
301 |
+
"eval_samples_per_second": 188.605,
|
302 |
+
"eval_steps_per_second": 2.977,
|
303 |
+
"step": 375
|
304 |
},
|
305 |
{
|
306 |
+
"epoch": 6.08,
|
307 |
+
"learning_rate": 4.420549581839905e-05,
|
308 |
+
"loss": 0.6048,
|
|
|
309 |
"step": 380
|
310 |
},
|
311 |
{
|
312 |
+
"epoch": 6.24,
|
313 |
+
"learning_rate": 4.390681003584229e-05,
|
314 |
+
"loss": 0.6048,
|
|
|
315 |
"step": 390
|
316 |
},
|
317 |
{
|
318 |
+
"epoch": 6.4,
|
319 |
+
"learning_rate": 4.360812425328555e-05,
|
320 |
+
"loss": 0.5979,
|
|
|
321 |
"step": 400
|
322 |
},
|
323 |
{
|
324 |
+
"epoch": 6.56,
|
325 |
+
"learning_rate": 4.3309438470728796e-05,
|
326 |
+
"loss": 0.599,
|
|
|
327 |
"step": 410
|
328 |
},
|
329 |
{
|
330 |
+
"epoch": 6.72,
|
331 |
+
"learning_rate": 4.301075268817205e-05,
|
332 |
+
"loss": 0.5938,
|
|
|
333 |
"step": 420
|
334 |
},
|
335 |
{
|
336 |
+
"epoch": 6.88,
|
337 |
+
"learning_rate": 4.271206690561529e-05,
|
338 |
+
"loss": 0.6171,
|
|
|
339 |
"step": 430
|
340 |
},
|
341 |
{
|
342 |
+
"epoch": 6.99,
|
343 |
+
"eval_accuracy": 0.8083427282976324,
|
344 |
+
"eval_f1": 0.8021700130993371,
|
345 |
+
"eval_loss": 0.5677684545516968,
|
346 |
+
"eval_precision": 0.8157285448675808,
|
347 |
+
"eval_recall": 0.8083427282976324,
|
348 |
+
"eval_runtime": 9.4301,
|
349 |
+
"eval_samples_per_second": 188.121,
|
350 |
+
"eval_steps_per_second": 2.969,
|
351 |
+
"step": 437
|
352 |
+
},
|
353 |
+
{
|
354 |
+
"epoch": 7.04,
|
355 |
+
"learning_rate": 4.241338112305854e-05,
|
356 |
+
"loss": 0.6715,
|
357 |
"step": 440
|
358 |
},
|
359 |
{
|
360 |
+
"epoch": 7.2,
|
361 |
+
"learning_rate": 4.2114695340501795e-05,
|
362 |
+
"loss": 0.6297,
|
|
|
363 |
"step": 450
|
364 |
},
|
365 |
{
|
366 |
+
"epoch": 7.36,
|
367 |
+
"learning_rate": 4.1816009557945046e-05,
|
368 |
+
"loss": 0.5852,
|
|
|
369 |
"step": 460
|
370 |
},
|
371 |
{
|
372 |
+
"epoch": 7.52,
|
373 |
+
"learning_rate": 4.15173237753883e-05,
|
374 |
+
"loss": 0.6125,
|
|
|
375 |
"step": 470
|
376 |
},
|
377 |
{
|
378 |
+
"epoch": 7.68,
|
379 |
+
"learning_rate": 4.121863799283154e-05,
|
380 |
+
"loss": 0.5598,
|
|
|
381 |
"step": 480
|
382 |
},
|
383 |
{
|
384 |
+
"epoch": 7.84,
|
385 |
+
"learning_rate": 4.0919952210274794e-05,
|
386 |
+
"loss": 0.5845,
|
|
|
387 |
"step": 490
|
388 |
},
|
389 |
{
|
390 |
+
"epoch": 8.0,
|
391 |
+
"learning_rate": 4.062126642771804e-05,
|
392 |
+
"loss": 0.55,
|
393 |
+
"step": 500
|
394 |
+
},
|
395 |
+
{
|
396 |
+
"epoch": 8.0,
|
397 |
+
"eval_accuracy": 0.8325817361894025,
|
398 |
+
"eval_f1": 0.8316011722287234,
|
399 |
+
"eval_loss": 0.49609655141830444,
|
400 |
+
"eval_precision": 0.8352811642513641,
|
401 |
+
"eval_recall": 0.8325817361894025,
|
402 |
+
"eval_runtime": 9.446,
|
403 |
+
"eval_samples_per_second": 187.804,
|
404 |
+
"eval_steps_per_second": 2.964,
|
405 |
"step": 500
|
406 |
},
|
407 |
{
|
408 |
+
"epoch": 8.16,
|
409 |
+
"learning_rate": 4.032258064516129e-05,
|
410 |
+
"loss": 0.5259,
|
|
|
411 |
"step": 510
|
412 |
},
|
413 |
{
|
414 |
+
"epoch": 8.32,
|
415 |
+
"learning_rate": 4.002389486260454e-05,
|
416 |
+
"loss": 0.5585,
|
|
|
417 |
"step": 520
|
418 |
},
|
419 |
{
|
420 |
+
"epoch": 8.48,
|
421 |
+
"learning_rate": 3.972520908004779e-05,
|
422 |
+
"loss": 0.5927,
|
|
|
423 |
"step": 530
|
424 |
},
|
425 |
{
|
426 |
+
"epoch": 8.64,
|
427 |
+
"learning_rate": 3.9426523297491045e-05,
|
428 |
+
"loss": 0.5585,
|
|
|
429 |
"step": 540
|
430 |
},
|
431 |
{
|
432 |
+
"epoch": 8.8,
|
433 |
+
"learning_rate": 3.912783751493429e-05,
|
434 |
+
"loss": 0.5732,
|
|
|
435 |
"step": 550
|
436 |
},
|
437 |
{
|
438 |
+
"epoch": 8.96,
|
439 |
+
"learning_rate": 3.882915173237754e-05,
|
440 |
+
"loss": 0.5615,
|
|
|
441 |
"step": 560
|
442 |
},
|
443 |
{
|
444 |
+
"epoch": 8.99,
|
445 |
+
"eval_accuracy": 0.830890642615558,
|
446 |
+
"eval_f1": 0.8274241002805047,
|
447 |
+
"eval_loss": 0.5032677054405212,
|
448 |
+
"eval_precision": 0.831185175749917,
|
449 |
+
"eval_recall": 0.830890642615558,
|
450 |
+
"eval_runtime": 9.45,
|
451 |
+
"eval_samples_per_second": 187.725,
|
452 |
+
"eval_steps_per_second": 2.963,
|
453 |
+
"step": 562
|
454 |
+
},
|
455 |
+
{
|
456 |
+
"epoch": 9.12,
|
457 |
+
"learning_rate": 3.8530465949820786e-05,
|
458 |
+
"loss": 0.5505,
|
459 |
"step": 570
|
460 |
},
|
461 |
{
|
462 |
+
"epoch": 9.28,
|
463 |
+
"learning_rate": 3.8231780167264044e-05,
|
464 |
+
"loss": 0.5101,
|
|
|
465 |
"step": 580
|
466 |
},
|
467 |
{
|
468 |
+
"epoch": 9.44,
|
469 |
+
"learning_rate": 3.793309438470729e-05,
|
470 |
+
"loss": 0.5215,
|
|
|
471 |
"step": 590
|
472 |
},
|
473 |
{
|
474 |
+
"epoch": 9.6,
|
475 |
+
"learning_rate": 3.763440860215054e-05,
|
476 |
+
"loss": 0.5503,
|
|
|
477 |
"step": 600
|
478 |
},
|
479 |
{
|
480 |
+
"epoch": 9.76,
|
481 |
+
"learning_rate": 3.7335722819593785e-05,
|
482 |
+
"loss": 0.5045,
|
|
|
483 |
"step": 610
|
484 |
},
|
485 |
{
|
486 |
+
"epoch": 9.92,
|
487 |
+
"learning_rate": 3.7037037037037037e-05,
|
488 |
+
"loss": 0.5107,
|
|
|
489 |
"step": 620
|
490 |
},
|
491 |
{
|
492 |
+
"epoch": 10.0,
|
493 |
+
"eval_accuracy": 0.8190529875986471,
|
494 |
+
"eval_f1": 0.8152076243657725,
|
495 |
+
"eval_loss": 0.5162058472633362,
|
496 |
+
"eval_precision": 0.8163659955266428,
|
497 |
+
"eval_recall": 0.8190529875986471,
|
498 |
+
"eval_runtime": 9.4412,
|
499 |
+
"eval_samples_per_second": 187.9,
|
500 |
+
"eval_steps_per_second": 2.966,
|
501 |
+
"step": 625
|
502 |
},
|
503 |
{
|
504 |
+
"epoch": 10.08,
|
505 |
+
"learning_rate": 3.673835125448029e-05,
|
506 |
+
"loss": 0.5196,
|
|
|
507 |
"step": 630
|
508 |
},
|
509 |
{
|
510 |
+
"epoch": 10.24,
|
511 |
+
"learning_rate": 3.643966547192354e-05,
|
512 |
+
"loss": 0.5125,
|
|
|
513 |
"step": 640
|
514 |
},
|
515 |
{
|
516 |
+
"epoch": 10.4,
|
517 |
+
"learning_rate": 3.614097968936679e-05,
|
518 |
+
"loss": 0.5879,
|
|
|
519 |
"step": 650
|
520 |
},
|
521 |
{
|
522 |
+
"epoch": 10.56,
|
523 |
+
"learning_rate": 3.5842293906810036e-05,
|
524 |
+
"loss": 0.5195,
|
|
|
525 |
"step": 660
|
526 |
},
|
527 |
{
|
528 |
+
"epoch": 10.72,
|
529 |
+
"learning_rate": 3.554360812425329e-05,
|
530 |
+
"loss": 0.4909,
|
|
|
531 |
"step": 670
|
532 |
},
|
533 |
{
|
534 |
+
"epoch": 10.88,
|
535 |
+
"learning_rate": 3.524492234169653e-05,
|
536 |
+
"loss": 0.5237,
|
|
|
537 |
"step": 680
|
538 |
},
|
539 |
{
|
540 |
+
"epoch": 10.99,
|
541 |
+
"eval_accuracy": 0.8421645997745209,
|
542 |
+
"eval_f1": 0.8381375195281238,
|
543 |
+
"eval_loss": 0.4789753556251526,
|
544 |
+
"eval_precision": 0.8451751547830025,
|
545 |
+
"eval_recall": 0.8421645997745209,
|
546 |
+
"eval_runtime": 9.4165,
|
547 |
+
"eval_samples_per_second": 188.392,
|
548 |
+
"eval_steps_per_second": 2.973,
|
549 |
+
"step": 687
|
550 |
+
},
|
551 |
+
{
|
552 |
+
"epoch": 11.04,
|
553 |
+
"learning_rate": 3.494623655913979e-05,
|
554 |
+
"loss": 0.4974,
|
555 |
"step": 690
|
556 |
},
|
557 |
{
|
558 |
+
"epoch": 11.2,
|
559 |
+
"learning_rate": 3.4647550776583035e-05,
|
560 |
+
"loss": 0.4889,
|
|
|
561 |
"step": 700
|
562 |
},
|
563 |
{
|
564 |
+
"epoch": 11.36,
|
565 |
+
"learning_rate": 3.4348864994026287e-05,
|
566 |
+
"loss": 0.4849,
|
|
|
567 |
"step": 710
|
568 |
},
|
569 |
{
|
570 |
+
"epoch": 11.52,
|
571 |
+
"learning_rate": 3.405017921146954e-05,
|
572 |
+
"loss": 0.4964,
|
|
|
573 |
"step": 720
|
574 |
},
|
575 |
{
|
576 |
+
"epoch": 11.68,
|
577 |
+
"learning_rate": 3.375149342891278e-05,
|
578 |
+
"loss": 0.5049,
|
|
|
579 |
"step": 730
|
580 |
},
|
581 |
{
|
582 |
+
"epoch": 11.84,
|
583 |
+
"learning_rate": 3.3452807646356034e-05,
|
584 |
+
"loss": 0.4907,
|
|
|
585 |
"step": 740
|
586 |
},
|
587 |
{
|
588 |
+
"epoch": 12.0,
|
589 |
+
"learning_rate": 3.3154121863799286e-05,
|
590 |
+
"loss": 0.4954,
|
591 |
+
"step": 750
|
|
|
|
|
|
|
592 |
},
|
593 |
{
|
594 |
+
"epoch": 12.0,
|
595 |
+
"eval_accuracy": 0.8421645997745209,
|
596 |
+
"eval_f1": 0.8372920175463381,
|
597 |
+
"eval_loss": 0.4781884253025055,
|
598 |
+
"eval_precision": 0.8430155601755086,
|
599 |
+
"eval_recall": 0.8421645997745209,
|
600 |
+
"eval_runtime": 9.4751,
|
601 |
+
"eval_samples_per_second": 187.227,
|
602 |
+
"eval_steps_per_second": 2.955,
|
603 |
"step": 750
|
604 |
},
|
605 |
{
|
606 |
+
"epoch": 12.16,
|
607 |
+
"learning_rate": 3.285543608124254e-05,
|
608 |
+
"loss": 0.4693,
|
|
|
609 |
"step": 760
|
610 |
},
|
611 |
{
|
612 |
+
"epoch": 12.32,
|
613 |
+
"learning_rate": 3.255675029868578e-05,
|
614 |
+
"loss": 0.4387,
|
|
|
615 |
"step": 770
|
616 |
},
|
617 |
{
|
618 |
+
"epoch": 12.48,
|
619 |
+
"learning_rate": 3.2258064516129034e-05,
|
620 |
+
"loss": 0.4934,
|
|
|
621 |
"step": 780
|
622 |
},
|
623 |
{
|
624 |
+
"epoch": 12.64,
|
625 |
+
"learning_rate": 3.195937873357228e-05,
|
626 |
+
"loss": 0.471,
|
|
|
627 |
"step": 790
|
628 |
},
|
629 |
{
|
630 |
+
"epoch": 12.8,
|
631 |
+
"learning_rate": 3.1660692951015537e-05,
|
632 |
+
"loss": 0.4691,
|
|
|
633 |
"step": 800
|
634 |
},
|
635 |
{
|
636 |
+
"epoch": 12.96,
|
637 |
+
"learning_rate": 3.136200716845878e-05,
|
638 |
+
"loss": 0.4887,
|
|
|
639 |
"step": 810
|
640 |
},
|
641 |
{
|
642 |
+
"epoch": 12.99,
|
643 |
+
"eval_accuracy": 0.8370913190529876,
|
644 |
+
"eval_f1": 0.8358084111631787,
|
645 |
+
"eval_loss": 0.46888935565948486,
|
646 |
+
"eval_precision": 0.8394938653593303,
|
647 |
+
"eval_recall": 0.8370913190529876,
|
648 |
+
"eval_runtime": 9.4084,
|
649 |
+
"eval_samples_per_second": 188.555,
|
650 |
+
"eval_steps_per_second": 2.976,
|
651 |
+
"step": 812
|
652 |
+
},
|
653 |
+
{
|
654 |
+
"epoch": 13.12,
|
655 |
+
"learning_rate": 3.106332138590203e-05,
|
656 |
+
"loss": 0.4613,
|
657 |
"step": 820
|
658 |
},
|
659 |
{
|
660 |
+
"epoch": 13.28,
|
661 |
+
"learning_rate": 3.0764635603345284e-05,
|
662 |
+
"loss": 0.4439,
|
|
|
663 |
"step": 830
|
664 |
},
|
665 |
{
|
666 |
+
"epoch": 13.44,
|
667 |
+
"learning_rate": 3.046594982078853e-05,
|
668 |
+
"loss": 0.5005,
|
|
|
669 |
"step": 840
|
670 |
},
|
671 |
{
|
672 |
+
"epoch": 13.6,
|
673 |
+
"learning_rate": 3.016726403823178e-05,
|
674 |
+
"loss": 0.4262,
|
|
|
675 |
"step": 850
|
676 |
},
|
677 |
{
|
678 |
+
"epoch": 13.76,
|
679 |
+
"learning_rate": 2.9868578255675032e-05,
|
680 |
+
"loss": 0.4866,
|
|
|
681 |
"step": 860
|
682 |
},
|
683 |
{
|
684 |
+
"epoch": 13.92,
|
685 |
+
"learning_rate": 2.9569892473118284e-05,
|
686 |
+
"loss": 0.4629,
|
|
|
687 |
"step": 870
|
688 |
},
|
689 |
{
|
690 |
+
"epoch": 14.0,
|
691 |
+
"eval_accuracy": 0.8523111612175873,
|
692 |
+
"eval_f1": 0.8502117923643765,
|
693 |
+
"eval_loss": 0.45412173867225647,
|
694 |
+
"eval_precision": 0.8500083028083808,
|
695 |
+
"eval_recall": 0.8523111612175873,
|
696 |
+
"eval_runtime": 9.4205,
|
697 |
+
"eval_samples_per_second": 188.313,
|
698 |
+
"eval_steps_per_second": 2.972,
|
699 |
+
"step": 875
|
700 |
},
|
701 |
{
|
702 |
+
"epoch": 14.08,
|
703 |
+
"learning_rate": 2.9271206690561532e-05,
|
704 |
+
"loss": 0.4421,
|
|
|
705 |
"step": 880
|
706 |
},
|
707 |
{
|
708 |
+
"epoch": 14.24,
|
709 |
+
"learning_rate": 2.897252090800478e-05,
|
710 |
+
"loss": 0.3844,
|
|
|
711 |
"step": 890
|
712 |
},
|
713 |
{
|
714 |
+
"epoch": 14.4,
|
715 |
+
"learning_rate": 2.8673835125448028e-05,
|
716 |
+
"loss": 0.4462,
|
|
|
717 |
"step": 900
|
718 |
},
|
719 |
{
|
720 |
+
"epoch": 14.56,
|
721 |
+
"learning_rate": 2.8375149342891276e-05,
|
722 |
+
"loss": 0.4703,
|
|
|
723 |
"step": 910
|
724 |
},
|
725 |
{
|
726 |
+
"epoch": 14.72,
|
727 |
+
"learning_rate": 2.807646356033453e-05,
|
728 |
+
"loss": 0.4755,
|
|
|
729 |
"step": 920
|
730 |
},
|
731 |
{
|
732 |
+
"epoch": 14.88,
|
733 |
+
"learning_rate": 2.777777777777778e-05,
|
734 |
+
"loss": 0.4486,
|
|
|
735 |
"step": 930
|
736 |
},
|
737 |
{
|
738 |
+
"epoch": 14.99,
|
739 |
+
"eval_accuracy": 0.8404735062006764,
|
740 |
+
"eval_f1": 0.8394262955931711,
|
741 |
+
"eval_loss": 0.4754864275455475,
|
742 |
+
"eval_precision": 0.8400472182964517,
|
743 |
+
"eval_recall": 0.8404735062006764,
|
744 |
+
"eval_runtime": 9.6429,
|
745 |
+
"eval_samples_per_second": 183.97,
|
746 |
+
"eval_steps_per_second": 2.904,
|
747 |
+
"step": 937
|
748 |
+
},
|
749 |
+
{
|
750 |
+
"epoch": 15.04,
|
751 |
+
"learning_rate": 2.747909199522103e-05,
|
752 |
+
"loss": 0.4446,
|
753 |
"step": 940
|
754 |
},
|
755 |
{
|
756 |
+
"epoch": 15.2,
|
757 |
+
"learning_rate": 2.718040621266428e-05,
|
758 |
+
"loss": 0.4243,
|
|
|
759 |
"step": 950
|
760 |
},
|
761 |
{
|
762 |
+
"epoch": 15.36,
|
763 |
+
"learning_rate": 2.6881720430107527e-05,
|
764 |
+
"loss": 0.4136,
|
|
|
765 |
"step": 960
|
766 |
},
|
767 |
{
|
768 |
+
"epoch": 15.52,
|
769 |
+
"learning_rate": 2.6583034647550775e-05,
|
770 |
+
"loss": 0.4471,
|
|
|
771 |
"step": 970
|
772 |
},
|
773 |
{
|
774 |
+
"epoch": 15.68,
|
775 |
+
"learning_rate": 2.628434886499403e-05,
|
776 |
+
"loss": 0.3961,
|
|
|
777 |
"step": 980
|
778 |
},
|
779 |
{
|
780 |
+
"epoch": 15.84,
|
781 |
+
"learning_rate": 2.5985663082437278e-05,
|
782 |
+
"loss": 0.4334,
|
|
|
783 |
"step": 990
|
784 |
},
|
785 |
{
|
786 |
+
"epoch": 16.0,
|
787 |
+
"learning_rate": 2.5686977299880526e-05,
|
788 |
+
"loss": 0.4361,
|
789 |
+
"step": 1000
|
|
|
|
|
|
|
790 |
},
|
791 |
{
|
792 |
+
"epoch": 16.0,
|
793 |
+
"eval_accuracy": 0.8370913190529876,
|
794 |
+
"eval_f1": 0.8369915773538048,
|
795 |
+
"eval_loss": 0.47626104950904846,
|
796 |
+
"eval_precision": 0.8391572358322159,
|
797 |
+
"eval_recall": 0.8370913190529876,
|
798 |
+
"eval_runtime": 9.6357,
|
799 |
+
"eval_samples_per_second": 184.107,
|
800 |
+
"eval_steps_per_second": 2.906,
|
801 |
"step": 1000
|
802 |
},
|
803 |
{
|
804 |
+
"epoch": 16.16,
|
805 |
+
"learning_rate": 2.5388291517323774e-05,
|
806 |
+
"loss": 0.4227,
|
|
|
807 |
"step": 1010
|
808 |
},
|
809 |
{
|
810 |
+
"epoch": 16.32,
|
811 |
+
"learning_rate": 2.5089605734767026e-05,
|
812 |
+
"loss": 0.3709,
|
|
|
813 |
"step": 1020
|
814 |
},
|
815 |
{
|
816 |
+
"epoch": 16.48,
|
817 |
+
"learning_rate": 2.4790919952210277e-05,
|
818 |
+
"loss": 0.3767,
|
|
|
819 |
"step": 1030
|
820 |
},
|
821 |
{
|
822 |
+
"epoch": 16.64,
|
823 |
+
"learning_rate": 2.4492234169653525e-05,
|
824 |
+
"loss": 0.4753,
|
|
|
825 |
"step": 1040
|
826 |
},
|
827 |
{
|
828 |
+
"epoch": 16.8,
|
829 |
+
"learning_rate": 2.4193548387096777e-05,
|
830 |
+
"loss": 0.41,
|
|
|
831 |
"step": 1050
|
832 |
},
|
833 |
{
|
834 |
+
"epoch": 16.96,
|
835 |
+
"learning_rate": 2.3894862604540025e-05,
|
836 |
+
"loss": 0.3833,
|
|
|
837 |
"step": 1060
|
838 |
},
|
839 |
{
|
840 |
+
"epoch": 16.99,
|
841 |
+
"eval_accuracy": 0.8416009019165727,
|
842 |
+
"eval_f1": 0.8396254917954661,
|
843 |
+
"eval_loss": 0.4982186257839203,
|
844 |
+
"eval_precision": 0.8428664297953069,
|
845 |
+
"eval_recall": 0.8416009019165727,
|
846 |
+
"eval_runtime": 9.4953,
|
847 |
+
"eval_samples_per_second": 186.829,
|
848 |
+
"eval_steps_per_second": 2.949,
|
849 |
+
"step": 1062
|
850 |
+
},
|
851 |
+
{
|
852 |
+
"epoch": 17.12,
|
853 |
+
"learning_rate": 2.3596176821983273e-05,
|
854 |
+
"loss": 0.4147,
|
855 |
"step": 1070
|
856 |
},
|
857 |
{
|
858 |
+
"epoch": 17.28,
|
859 |
+
"learning_rate": 2.3297491039426525e-05,
|
860 |
+
"loss": 0.411,
|
|
|
861 |
"step": 1080
|
862 |
},
|
863 |
{
|
864 |
+
"epoch": 17.44,
|
865 |
+
"learning_rate": 2.2998805256869773e-05,
|
866 |
+
"loss": 0.4258,
|
|
|
867 |
"step": 1090
|
868 |
},
|
869 |
{
|
870 |
+
"epoch": 17.6,
|
871 |
+
"learning_rate": 2.270011947431302e-05,
|
872 |
+
"loss": 0.4165,
|
|
|
873 |
"step": 1100
|
874 |
},
|
875 |
{
|
876 |
+
"epoch": 17.76,
|
877 |
+
"learning_rate": 2.2401433691756272e-05,
|
878 |
+
"loss": 0.3852,
|
|
|
879 |
"step": 1110
|
880 |
},
|
881 |
{
|
882 |
+
"epoch": 17.92,
|
883 |
+
"learning_rate": 2.2102747909199524e-05,
|
884 |
+
"loss": 0.3788,
|
|
|
885 |
"step": 1120
|
886 |
},
|
887 |
{
|
888 |
+
"epoch": 18.0,
|
889 |
+
"eval_accuracy": 0.8291995490417137,
|
890 |
+
"eval_f1": 0.826730633772571,
|
891 |
+
"eval_loss": 0.5631851553916931,
|
892 |
+
"eval_precision": 0.836503982215401,
|
893 |
+
"eval_recall": 0.8291995490417137,
|
894 |
+
"eval_runtime": 9.4,
|
895 |
+
"eval_samples_per_second": 188.724,
|
896 |
+
"eval_steps_per_second": 2.979,
|
897 |
+
"step": 1125
|
898 |
},
|
899 |
{
|
900 |
+
"epoch": 18.08,
|
901 |
+
"learning_rate": 2.1804062126642775e-05,
|
902 |
+
"loss": 0.4057,
|
|
|
903 |
"step": 1130
|
904 |
},
|
905 |
{
|
906 |
+
"epoch": 18.24,
|
907 |
+
"learning_rate": 2.1505376344086024e-05,
|
908 |
+
"loss": 0.356,
|
|
|
909 |
"step": 1140
|
910 |
},
|
911 |
{
|
912 |
+
"epoch": 18.4,
|
913 |
+
"learning_rate": 2.120669056152927e-05,
|
914 |
+
"loss": 0.3455,
|
|
|
915 |
"step": 1150
|
916 |
},
|
917 |
{
|
918 |
+
"epoch": 18.56,
|
919 |
+
"learning_rate": 2.0908004778972523e-05,
|
920 |
+
"loss": 0.3733,
|
|
|
921 |
"step": 1160
|
922 |
},
|
923 |
{
|
924 |
+
"epoch": 18.72,
|
925 |
+
"learning_rate": 2.060931899641577e-05,
|
926 |
+
"loss": 0.3674,
|
|
|
927 |
"step": 1170
|
928 |
},
|
929 |
{
|
930 |
+
"epoch": 18.88,
|
931 |
+
"learning_rate": 2.031063321385902e-05,
|
932 |
+
"loss": 0.3722,
|
|
|
933 |
"step": 1180
|
934 |
},
|
935 |
{
|
936 |
+
"epoch": 18.99,
|
937 |
+
"eval_accuracy": 0.8387824126268321,
|
938 |
+
"eval_f1": 0.8356991631458416,
|
939 |
+
"eval_loss": 0.5161823034286499,
|
940 |
+
"eval_precision": 0.8364077463920019,
|
941 |
+
"eval_recall": 0.8387824126268321,
|
942 |
+
"eval_runtime": 9.4455,
|
943 |
+
"eval_samples_per_second": 187.814,
|
944 |
+
"eval_steps_per_second": 2.964,
|
945 |
+
"step": 1187
|
946 |
+
},
|
947 |
+
{
|
948 |
+
"epoch": 19.04,
|
949 |
+
"learning_rate": 2.001194743130227e-05,
|
950 |
+
"loss": 0.377,
|
951 |
"step": 1190
|
952 |
},
|
953 |
{
|
954 |
+
"epoch": 19.2,
|
955 |
+
"learning_rate": 1.9713261648745522e-05,
|
956 |
+
"loss": 0.3445,
|
|
|
957 |
"step": 1200
|
958 |
},
|
959 |
{
|
960 |
+
"epoch": 19.36,
|
961 |
+
"learning_rate": 1.941457586618877e-05,
|
962 |
+
"loss": 0.3634,
|
|
|
963 |
"step": 1210
|
964 |
},
|
965 |
{
|
966 |
+
"epoch": 19.52,
|
967 |
+
"learning_rate": 1.9115890083632022e-05,
|
968 |
+
"loss": 0.37,
|
|
|
969 |
"step": 1220
|
970 |
},
|
971 |
{
|
972 |
+
"epoch": 19.68,
|
973 |
+
"learning_rate": 1.881720430107527e-05,
|
974 |
+
"loss": 0.3587,
|
|
|
975 |
"step": 1230
|
976 |
},
|
977 |
{
|
978 |
+
"epoch": 19.84,
|
979 |
+
"learning_rate": 1.8518518518518518e-05,
|
980 |
+
"loss": 0.3676,
|
|
|
981 |
"step": 1240
|
982 |
},
|
983 |
{
|
984 |
+
"epoch": 20.0,
|
985 |
+
"learning_rate": 1.821983273596177e-05,
|
986 |
+
"loss": 0.3467,
|
987 |
+
"step": 1250
|
|
|
|
|
|
|
988 |
},
|
989 |
{
|
990 |
+
"epoch": 20.0,
|
991 |
+
"eval_accuracy": 0.8399098083427283,
|
992 |
+
"eval_f1": 0.8341879072603243,
|
993 |
+
"eval_loss": 0.512520968914032,
|
994 |
+
"eval_precision": 0.8356956407334528,
|
995 |
+
"eval_recall": 0.8399098083427283,
|
996 |
+
"eval_runtime": 9.3979,
|
997 |
+
"eval_samples_per_second": 188.765,
|
998 |
+
"eval_steps_per_second": 2.979,
|
999 |
"step": 1250
|
1000 |
},
|
1001 |
{
|
1002 |
+
"epoch": 20.16,
|
1003 |
+
"learning_rate": 1.7921146953405018e-05,
|
1004 |
+
"loss": 0.3306,
|
|
|
1005 |
"step": 1260
|
1006 |
},
|
1007 |
{
|
1008 |
+
"epoch": 20.32,
|
1009 |
+
"learning_rate": 1.7622461170848266e-05,
|
1010 |
+
"loss": 0.3441,
|
|
|
1011 |
"step": 1270
|
1012 |
},
|
1013 |
{
|
1014 |
+
"epoch": 20.48,
|
1015 |
+
"learning_rate": 1.7323775388291518e-05,
|
1016 |
+
"loss": 0.3275,
|
|
|
1017 |
"step": 1280
|
1018 |
},
|
1019 |
{
|
1020 |
+
"epoch": 20.64,
|
1021 |
+
"learning_rate": 1.702508960573477e-05,
|
1022 |
+
"loss": 0.3437,
|
|
|
1023 |
"step": 1290
|
1024 |
},
|
1025 |
{
|
1026 |
+
"epoch": 20.8,
|
1027 |
+
"learning_rate": 1.6726403823178017e-05,
|
1028 |
+
"loss": 0.3654,
|
|
|
1029 |
"step": 1300
|
1030 |
},
|
1031 |
{
|
1032 |
+
"epoch": 20.96,
|
1033 |
+
"learning_rate": 1.642771804062127e-05,
|
1034 |
+
"loss": 0.3518,
|
|
|
1035 |
"step": 1310
|
1036 |
},
|
1037 |
{
|
1038 |
+
"epoch": 20.99,
|
1039 |
+
"eval_accuracy": 0.830890642615558,
|
1040 |
+
"eval_f1": 0.8276459982195031,
|
1041 |
+
"eval_loss": 0.5569064617156982,
|
1042 |
+
"eval_precision": 0.8326824734829679,
|
1043 |
+
"eval_recall": 0.830890642615558,
|
1044 |
+
"eval_runtime": 9.4092,
|
1045 |
+
"eval_samples_per_second": 188.538,
|
1046 |
+
"eval_steps_per_second": 2.976,
|
1047 |
+
"step": 1312
|
1048 |
+
},
|
1049 |
+
{
|
1050 |
+
"epoch": 21.12,
|
1051 |
+
"learning_rate": 1.6129032258064517e-05,
|
1052 |
+
"loss": 0.3096,
|
1053 |
"step": 1320
|
1054 |
},
|
1055 |
{
|
1056 |
+
"epoch": 21.28,
|
1057 |
+
"learning_rate": 1.5830346475507768e-05,
|
1058 |
+
"loss": 0.3105,
|
|
|
1059 |
"step": 1330
|
1060 |
},
|
1061 |
{
|
1062 |
+
"epoch": 21.44,
|
1063 |
+
"learning_rate": 1.5531660692951016e-05,
|
1064 |
+
"loss": 0.3231,
|
|
|
1065 |
"step": 1340
|
1066 |
},
|
1067 |
{
|
1068 |
+
"epoch": 21.6,
|
1069 |
+
"learning_rate": 1.5232974910394265e-05,
|
1070 |
+
"loss": 0.3348,
|
|
|
1071 |
"step": 1350
|
1072 |
},
|
1073 |
{
|
1074 |
+
"epoch": 21.76,
|
1075 |
+
"learning_rate": 1.4934289127837516e-05,
|
1076 |
+
"loss": 0.3267,
|
|
|
1077 |
"step": 1360
|
1078 |
},
|
1079 |
{
|
1080 |
+
"epoch": 21.92,
|
1081 |
+
"learning_rate": 1.4635603345280766e-05,
|
1082 |
+
"loss": 0.3432,
|
|
|
1083 |
"step": 1370
|
1084 |
},
|
1085 |
{
|
1086 |
+
"epoch": 22.0,
|
1087 |
+
"eval_accuracy": 0.8483652762119503,
|
1088 |
+
"eval_f1": 0.8454482921463644,
|
1089 |
+
"eval_loss": 0.503221333026886,
|
1090 |
+
"eval_precision": 0.8451494566314203,
|
1091 |
+
"eval_recall": 0.8483652762119503,
|
1092 |
+
"eval_runtime": 9.6561,
|
1093 |
+
"eval_samples_per_second": 183.718,
|
1094 |
+
"eval_steps_per_second": 2.9,
|
1095 |
+
"step": 1375
|
1096 |
},
|
1097 |
{
|
1098 |
+
"epoch": 22.08,
|
1099 |
+
"learning_rate": 1.4336917562724014e-05,
|
1100 |
+
"loss": 0.2949,
|
|
|
1101 |
"step": 1380
|
1102 |
},
|
1103 |
{
|
1104 |
+
"epoch": 22.24,
|
1105 |
+
"learning_rate": 1.4038231780167265e-05,
|
1106 |
+
"loss": 0.2799,
|
|
|
1107 |
"step": 1390
|
1108 |
},
|
1109 |
{
|
1110 |
+
"epoch": 22.4,
|
1111 |
+
"learning_rate": 1.3739545997610515e-05,
|
1112 |
+
"loss": 0.3187,
|
|
|
1113 |
"step": 1400
|
1114 |
},
|
1115 |
{
|
1116 |
+
"epoch": 22.56,
|
1117 |
+
"learning_rate": 1.3440860215053763e-05,
|
1118 |
+
"loss": 0.3097,
|
|
|
1119 |
"step": 1410
|
1120 |
},
|
1121 |
{
|
1122 |
+
"epoch": 22.72,
|
1123 |
+
"learning_rate": 1.3142174432497015e-05,
|
1124 |
+
"loss": 0.3246,
|
|
|
1125 |
"step": 1420
|
1126 |
},
|
1127 |
{
|
1128 |
+
"epoch": 22.88,
|
1129 |
+
"learning_rate": 1.2843488649940263e-05,
|
1130 |
+
"loss": 0.3067,
|
|
|
1131 |
"step": 1430
|
1132 |
},
|
1133 |
{
|
1134 |
+
"epoch": 22.99,
|
1135 |
+
"eval_accuracy": 0.8432919954904171,
|
1136 |
+
"eval_f1": 0.8432965588108505,
|
1137 |
+
"eval_loss": 0.5245735049247742,
|
1138 |
+
"eval_precision": 0.8461645036328044,
|
1139 |
+
"eval_recall": 0.8432919954904171,
|
1140 |
+
"eval_runtime": 9.4406,
|
1141 |
+
"eval_samples_per_second": 187.912,
|
1142 |
+
"eval_steps_per_second": 2.966,
|
1143 |
+
"step": 1437
|
1144 |
+
},
|
1145 |
+
{
|
1146 |
+
"epoch": 23.04,
|
1147 |
+
"learning_rate": 1.2544802867383513e-05,
|
1148 |
+
"loss": 0.3102,
|
1149 |
"step": 1440
|
1150 |
},
|
1151 |
{
|
1152 |
+
"epoch": 23.2,
|
1153 |
+
"learning_rate": 1.2246117084826763e-05,
|
1154 |
+
"loss": 0.2936,
|
|
|
1155 |
"step": 1450
|
1156 |
},
|
1157 |
{
|
1158 |
+
"epoch": 23.36,
|
1159 |
+
"learning_rate": 1.1947431302270013e-05,
|
1160 |
+
"loss": 0.2917,
|
|
|
1161 |
"step": 1460
|
1162 |
},
|
1163 |
{
|
1164 |
+
"epoch": 23.52,
|
1165 |
+
"learning_rate": 1.1648745519713262e-05,
|
1166 |
+
"loss": 0.278,
|
|
|
1167 |
"step": 1470
|
1168 |
},
|
1169 |
{
|
1170 |
+
"epoch": 23.68,
|
1171 |
+
"learning_rate": 1.135005973715651e-05,
|
1172 |
+
"loss": 0.3334,
|
|
|
1173 |
"step": 1480
|
1174 |
},
|
1175 |
{
|
1176 |
+
"epoch": 23.84,
|
1177 |
+
"learning_rate": 1.1051373954599762e-05,
|
1178 |
+
"loss": 0.2626,
|
|
|
1179 |
"step": 1490
|
1180 |
},
|
1181 |
{
|
1182 |
+
"epoch": 24.0,
|
1183 |
+
"learning_rate": 1.0752688172043012e-05,
|
1184 |
+
"loss": 0.2923,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1185 |
"step": 1500
|
1186 |
},
|
1187 |
{
|
1188 |
+
"epoch": 24.0,
|
1189 |
+
"eval_accuracy": 0.846674182638106,
|
1190 |
+
"eval_f1": 0.846389580543113,
|
1191 |
+
"eval_loss": 0.5363038778305054,
|
1192 |
+
"eval_precision": 0.84823995361272,
|
1193 |
+
"eval_recall": 0.846674182638106,
|
1194 |
+
"eval_runtime": 9.4508,
|
1195 |
+
"eval_samples_per_second": 187.708,
|
1196 |
+
"eval_steps_per_second": 2.963,
|
1197 |
+
"step": 1500
|
1198 |
+
},
|
1199 |
+
{
|
1200 |
+
"epoch": 24.16,
|
1201 |
+
"learning_rate": 1.0454002389486262e-05,
|
1202 |
+
"loss": 0.2874,
|
1203 |
"step": 1510
|
1204 |
},
|
1205 |
{
|
1206 |
+
"epoch": 24.32,
|
1207 |
+
"learning_rate": 1.015531660692951e-05,
|
1208 |
+
"loss": 0.2991,
|
|
|
1209 |
"step": 1520
|
1210 |
},
|
1211 |
{
|
1212 |
+
"epoch": 24.48,
|
1213 |
+
"learning_rate": 9.856630824372761e-06,
|
1214 |
+
"loss": 0.2951,
|
|
|
1215 |
"step": 1530
|
1216 |
},
|
1217 |
{
|
1218 |
+
"epoch": 24.64,
|
1219 |
+
"learning_rate": 9.557945041816011e-06,
|
1220 |
+
"loss": 0.2664,
|
|
|
1221 |
"step": 1540
|
1222 |
},
|
1223 |
{
|
1224 |
+
"epoch": 24.8,
|
1225 |
+
"learning_rate": 9.259259259259259e-06,
|
1226 |
+
"loss": 0.2643,
|
|
|
1227 |
"step": 1550
|
1228 |
},
|
1229 |
{
|
1230 |
+
"epoch": 24.96,
|
1231 |
+
"learning_rate": 8.960573476702509e-06,
|
1232 |
+
"loss": 0.303,
|
|
|
1233 |
"step": 1560
|
1234 |
},
|
1235 |
{
|
1236 |
+
"epoch": 24.99,
|
1237 |
+
"eval_accuracy": 0.8483652762119503,
|
1238 |
+
"eval_f1": 0.8456910500695487,
|
1239 |
+
"eval_loss": 0.543497622013092,
|
1240 |
+
"eval_precision": 0.8453137649338565,
|
1241 |
+
"eval_recall": 0.8483652762119503,
|
1242 |
+
"eval_runtime": 9.4055,
|
1243 |
+
"eval_samples_per_second": 188.613,
|
1244 |
+
"eval_steps_per_second": 2.977,
|
1245 |
+
"step": 1562
|
1246 |
+
},
|
1247 |
+
{
|
1248 |
+
"epoch": 25.12,
|
1249 |
+
"learning_rate": 8.661887694145759e-06,
|
1250 |
+
"loss": 0.2598,
|
1251 |
"step": 1570
|
1252 |
},
|
1253 |
{
|
1254 |
+
"epoch": 25.28,
|
1255 |
+
"learning_rate": 8.363201911589009e-06,
|
1256 |
+
"loss": 0.2491,
|
|
|
1257 |
"step": 1580
|
1258 |
},
|
1259 |
{
|
1260 |
+
"epoch": 25.44,
|
1261 |
+
"learning_rate": 8.064516129032258e-06,
|
1262 |
+
"loss": 0.2478,
|
|
|
1263 |
"step": 1590
|
1264 |
},
|
1265 |
{
|
1266 |
+
"epoch": 25.6,
|
1267 |
+
"learning_rate": 7.765830346475508e-06,
|
1268 |
+
"loss": 0.2817,
|
|
|
1269 |
"step": 1600
|
1270 |
},
|
1271 |
{
|
1272 |
+
"epoch": 25.76,
|
1273 |
+
"learning_rate": 7.467144563918758e-06,
|
1274 |
+
"loss": 0.2645,
|
|
|
1275 |
"step": 1610
|
1276 |
},
|
1277 |
{
|
1278 |
+
"epoch": 25.92,
|
1279 |
+
"learning_rate": 7.168458781362007e-06,
|
1280 |
+
"loss": 0.2523,
|
|
|
1281 |
"step": 1620
|
1282 |
},
|
1283 |
{
|
1284 |
+
"epoch": 26.0,
|
1285 |
+
"eval_accuracy": 0.8444193912063134,
|
1286 |
+
"eval_f1": 0.8419142587663883,
|
1287 |
+
"eval_loss": 0.5499712824821472,
|
1288 |
+
"eval_precision": 0.8421658227924053,
|
1289 |
+
"eval_recall": 0.8444193912063134,
|
1290 |
+
"eval_runtime": 9.4664,
|
1291 |
+
"eval_samples_per_second": 187.399,
|
1292 |
+
"eval_steps_per_second": 2.958,
|
1293 |
+
"step": 1625
|
1294 |
+
},
|
1295 |
+
{
|
1296 |
+
"epoch": 26.08,
|
1297 |
+
"learning_rate": 6.869772998805258e-06,
|
1298 |
+
"loss": 0.2821,
|
1299 |
"step": 1630
|
1300 |
},
|
1301 |
{
|
1302 |
+
"epoch": 26.24,
|
1303 |
+
"learning_rate": 6.5710872162485075e-06,
|
1304 |
+
"loss": 0.2845,
|
|
|
1305 |
"step": 1640
|
1306 |
},
|
1307 |
{
|
1308 |
+
"epoch": 26.4,
|
1309 |
+
"learning_rate": 6.2724014336917564e-06,
|
1310 |
+
"loss": 0.2578,
|
|
|
1311 |
"step": 1650
|
1312 |
},
|
1313 |
{
|
1314 |
+
"epoch": 26.56,
|
1315 |
+
"learning_rate": 5.973715651135006e-06,
|
1316 |
+
"loss": 0.2487,
|
|
|
1317 |
"step": 1660
|
1318 |
},
|
1319 |
{
|
1320 |
+
"epoch": 26.72,
|
1321 |
+
"learning_rate": 5.675029868578255e-06,
|
1322 |
+
"loss": 0.2626,
|
|
|
1323 |
"step": 1670
|
1324 |
},
|
1325 |
{
|
1326 |
+
"epoch": 26.88,
|
1327 |
+
"learning_rate": 5.376344086021506e-06,
|
1328 |
+
"loss": 0.2523,
|
|
|
1329 |
"step": 1680
|
1330 |
},
|
1331 |
{
|
1332 |
+
"epoch": 26.99,
|
1333 |
+
"eval_accuracy": 0.8528748590755355,
|
1334 |
+
"eval_f1": 0.8529064904562935,
|
1335 |
+
"eval_loss": 0.5368608832359314,
|
1336 |
+
"eval_precision": 0.85325189512013,
|
1337 |
+
"eval_recall": 0.8528748590755355,
|
1338 |
+
"eval_runtime": 9.4466,
|
1339 |
+
"eval_samples_per_second": 187.792,
|
1340 |
+
"eval_steps_per_second": 2.964,
|
1341 |
+
"step": 1687
|
1342 |
+
},
|
1343 |
+
{
|
1344 |
+
"epoch": 27.04,
|
1345 |
+
"learning_rate": 5.077658303464755e-06,
|
1346 |
+
"loss": 0.2445,
|
1347 |
"step": 1690
|
1348 |
},
|
1349 |
{
|
1350 |
+
"epoch": 27.2,
|
1351 |
+
"learning_rate": 4.7789725209080055e-06,
|
1352 |
+
"loss": 0.254,
|
|
|
1353 |
"step": 1700
|
1354 |
},
|
1355 |
{
|
1356 |
+
"epoch": 27.36,
|
1357 |
+
"learning_rate": 4.4802867383512545e-06,
|
1358 |
+
"loss": 0.2609,
|
|
|
1359 |
"step": 1710
|
1360 |
},
|
1361 |
{
|
1362 |
+
"epoch": 27.52,
|
1363 |
+
"learning_rate": 4.181600955794504e-06,
|
1364 |
+
"loss": 0.2406,
|
|
|
1365 |
"step": 1720
|
1366 |
},
|
1367 |
{
|
1368 |
+
"epoch": 27.68,
|
1369 |
+
"learning_rate": 3.882915173237754e-06,
|
1370 |
+
"loss": 0.217,
|
|
|
1371 |
"step": 1730
|
1372 |
},
|
1373 |
{
|
1374 |
+
"epoch": 27.84,
|
1375 |
+
"learning_rate": 3.5842293906810035e-06,
|
1376 |
+
"loss": 0.2385,
|
|
|
1377 |
"step": 1740
|
1378 |
},
|
1379 |
{
|
1380 |
+
"epoch": 28.0,
|
1381 |
+
"learning_rate": 3.2855436081242537e-06,
|
1382 |
+
"loss": 0.262,
|
1383 |
+
"step": 1750
|
|
|
|
|
|
|
1384 |
},
|
1385 |
{
|
1386 |
+
"epoch": 28.0,
|
1387 |
+
"eval_accuracy": 0.8562570462232244,
|
1388 |
+
"eval_f1": 0.8543013145108364,
|
1389 |
+
"eval_loss": 0.5373367667198181,
|
1390 |
+
"eval_precision": 0.8535856101978109,
|
1391 |
+
"eval_recall": 0.8562570462232244,
|
1392 |
+
"eval_runtime": 9.4681,
|
1393 |
+
"eval_samples_per_second": 187.366,
|
1394 |
+
"eval_steps_per_second": 2.957,
|
1395 |
"step": 1750
|
1396 |
},
|
1397 |
{
|
1398 |
+
"epoch": 28.16,
|
1399 |
+
"learning_rate": 2.986857825567503e-06,
|
1400 |
+
"loss": 0.2366,
|
|
|
1401 |
"step": 1760
|
1402 |
},
|
1403 |
{
|
1404 |
+
"epoch": 28.32,
|
1405 |
+
"learning_rate": 2.688172043010753e-06,
|
1406 |
+
"loss": 0.2395,
|
|
|
1407 |
"step": 1770
|
1408 |
},
|
1409 |
{
|
1410 |
+
"epoch": 28.48,
|
1411 |
+
"learning_rate": 2.3894862604540028e-06,
|
1412 |
+
"loss": 0.221,
|
|
|
1413 |
"step": 1780
|
1414 |
},
|
1415 |
{
|
1416 |
+
"epoch": 28.64,
|
1417 |
+
"learning_rate": 2.090800477897252e-06,
|
1418 |
+
"loss": 0.2437,
|
|
|
1419 |
"step": 1790
|
1420 |
},
|
1421 |
{
|
1422 |
+
"epoch": 28.8,
|
1423 |
+
"learning_rate": 1.7921146953405017e-06,
|
1424 |
+
"loss": 0.2405,
|
|
|
1425 |
"step": 1800
|
1426 |
},
|
1427 |
{
|
1428 |
+
"epoch": 28.96,
|
1429 |
+
"learning_rate": 1.4934289127837516e-06,
|
1430 |
+
"loss": 0.232,
|
|
|
1431 |
"step": 1810
|
1432 |
},
|
1433 |
{
|
1434 |
+
"epoch": 28.99,
|
1435 |
+
"eval_accuracy": 0.8528748590755355,
|
1436 |
+
"eval_f1": 0.8515517670522557,
|
1437 |
+
"eval_loss": 0.5384246706962585,
|
1438 |
+
"eval_precision": 0.8508958605112941,
|
1439 |
+
"eval_recall": 0.8528748590755355,
|
1440 |
+
"eval_runtime": 9.4835,
|
1441 |
+
"eval_samples_per_second": 187.062,
|
1442 |
+
"eval_steps_per_second": 2.953,
|
1443 |
+
"step": 1812
|
1444 |
+
},
|
1445 |
+
{
|
1446 |
+
"epoch": 29.12,
|
1447 |
+
"learning_rate": 1.1947431302270014e-06,
|
1448 |
+
"loss": 0.2338,
|
1449 |
"step": 1820
|
1450 |
},
|
1451 |
{
|
1452 |
+
"epoch": 29.28,
|
1453 |
+
"learning_rate": 8.960573476702509e-07,
|
1454 |
+
"loss": 0.2173,
|
|
|
1455 |
"step": 1830
|
1456 |
},
|
1457 |
{
|
1458 |
+
"epoch": 29.44,
|
1459 |
+
"learning_rate": 5.973715651135007e-07,
|
1460 |
+
"loss": 0.2244,
|
|
|
1461 |
"step": 1840
|
1462 |
},
|
1463 |
{
|
1464 |
+
"epoch": 29.6,
|
1465 |
+
"learning_rate": 2.9868578255675034e-07,
|
1466 |
+
"loss": 0.2391,
|
|
|
1467 |
"step": 1850
|
1468 |
},
|
1469 |
{
|
1470 |
+
"epoch": 29.76,
|
1471 |
+
"learning_rate": 0.0,
|
1472 |
+
"loss": 0.2278,
|
|
|
1473 |
"step": 1860
|
1474 |
},
|
1475 |
{
|
1476 |
+
"epoch": 29.76,
|
1477 |
+
"eval_accuracy": 0.8511837655016911,
|
1478 |
+
"eval_f1": 0.849520928911175,
|
1479 |
+
"eval_loss": 0.5428664088249207,
|
1480 |
+
"eval_precision": 0.848929825944967,
|
1481 |
+
"eval_recall": 0.8511837655016911,
|
1482 |
+
"eval_runtime": 9.3955,
|
1483 |
+
"eval_samples_per_second": 188.814,
|
1484 |
+
"eval_steps_per_second": 2.98,
|
1485 |
+
"step": 1860
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1486 |
},
|
1487 |
{
|
1488 |
+
"epoch": 29.76,
|
1489 |
+
"step": 1860,
|
1490 |
+
"total_flos": 1.2364841575625785e+19,
|
1491 |
+
"train_loss": 0.4955275515074371,
|
1492 |
+
"train_runtime": 4173.3159,
|
1493 |
+
"train_samples_per_second": 114.743,
|
1494 |
+
"train_steps_per_second": 0.446
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1495 |
}
|
1496 |
],
|
1497 |
"logging_steps": 10,
|
1498 |
+
"max_steps": 1860,
|
1499 |
"num_input_tokens_seen": 0,
|
1500 |
+
"num_train_epochs": 30,
|
1501 |
"save_steps": 500,
|
1502 |
+
"total_flos": 1.2364841575625785e+19,
|
1503 |
+
"train_batch_size": 64,
|
1504 |
"trial_name": null,
|
1505 |
"trial_params": null
|
1506 |
}
|