motheecreator
commited on
Commit
•
95ec253
1
Parent(s):
d6409de
End of training
Browse files- README.md +3 -3
- all_results.json +11 -11
- eval_results.json +6 -6
- runs/Apr30_00-59-58_786022f41cde/events.out.tfevents.1714445352.786022f41cde.42.6 +3 -0
- train_results.json +6 -6
- trainer_state.json +982 -265
README.md
CHANGED
@@ -22,7 +22,7 @@ model-index:
|
|
22 |
metrics:
|
23 |
- name: Accuracy
|
24 |
type: accuracy
|
25 |
-
value: 0.
|
26 |
---
|
27 |
|
28 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
@@ -32,8 +32,8 @@ should probably proofread and complete it, then remove this comment. -->
|
|
32 |
|
33 |
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the image_folder dataset.
|
34 |
It achieves the following results on the evaluation set:
|
35 |
-
- Loss:
|
36 |
-
- Accuracy: 0.
|
37 |
|
38 |
## Model description
|
39 |
|
|
|
22 |
metrics:
|
23 |
- name: Accuracy
|
24 |
type: accuracy
|
25 |
+
value: 0.7057676232933965
|
26 |
---
|
27 |
|
28 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
|
|
32 |
|
33 |
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the image_folder dataset.
|
34 |
It achieves the following results on the evaluation set:
|
35 |
+
- Loss: 0.9803
|
36 |
+
- Accuracy: 0.7058
|
37 |
|
38 |
## Model description
|
39 |
|
all_results.json
CHANGED
@@ -1,13 +1,13 @@
|
|
1 |
{
|
2 |
-
"epoch":
|
3 |
-
"eval_accuracy": 0.
|
4 |
-
"eval_loss": 0.
|
5 |
-
"eval_runtime": 60.
|
6 |
-
"eval_samples_per_second":
|
7 |
-
"eval_steps_per_second": 3.
|
8 |
-
"total_flos":
|
9 |
-
"train_loss": 0.
|
10 |
-
"train_runtime":
|
11 |
-
"train_samples_per_second": 44.
|
12 |
-
"train_steps_per_second": 0.
|
13 |
}
|
|
|
1 |
{
|
2 |
+
"epoch": 9.98,
|
3 |
+
"eval_accuracy": 0.7057676232933965,
|
4 |
+
"eval_loss": 0.9803113341331482,
|
5 |
+
"eval_runtime": 60.2511,
|
6 |
+
"eval_samples_per_second": 119.135,
|
7 |
+
"eval_steps_per_second": 3.734,
|
8 |
+
"total_flos": 2.2200667552042852e+19,
|
9 |
+
"train_loss": 0.27600424638284105,
|
10 |
+
"train_runtime": 6453.2956,
|
11 |
+
"train_samples_per_second": 44.487,
|
12 |
+
"train_steps_per_second": 0.347
|
13 |
}
|
eval_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
-
"epoch":
|
3 |
-
"eval_accuracy": 0.
|
4 |
-
"eval_loss": 0.
|
5 |
-
"eval_runtime": 60.
|
6 |
-
"eval_samples_per_second":
|
7 |
-
"eval_steps_per_second": 3.
|
8 |
}
|
|
|
1 |
{
|
2 |
+
"epoch": 9.98,
|
3 |
+
"eval_accuracy": 0.7057676232933965,
|
4 |
+
"eval_loss": 0.9803113341331482,
|
5 |
+
"eval_runtime": 60.2511,
|
6 |
+
"eval_samples_per_second": 119.135,
|
7 |
+
"eval_steps_per_second": 3.734
|
8 |
}
|
runs/Apr30_00-59-58_786022f41cde/events.out.tfevents.1714445352.786022f41cde.42.6
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:aaf8dc49760c3ee0adee024a5228dc39f7dace6ad559e1699aef2e9652b8975c
|
3 |
+
size 411
|
train_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
-
"epoch":
|
3 |
-
"total_flos":
|
4 |
-
"train_loss": 0.
|
5 |
-
"train_runtime":
|
6 |
-
"train_samples_per_second": 44.
|
7 |
-
"train_steps_per_second": 0.
|
8 |
}
|
|
|
1 |
{
|
2 |
+
"epoch": 9.98,
|
3 |
+
"total_flos": 2.2200667552042852e+19,
|
4 |
+
"train_loss": 0.27600424638284105,
|
5 |
+
"train_runtime": 6453.2956,
|
6 |
+
"train_samples_per_second": 44.487,
|
7 |
+
"train_steps_per_second": 0.347
|
8 |
}
|
trainer_state.json
CHANGED
@@ -1,746 +1,1463 @@
|
|
1 |
{
|
2 |
-
"best_metric": 0.
|
3 |
-
"best_model_checkpoint": "vit-base-patch16-224-in21k-finetuned/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": 0.04,
|
13 |
-
"learning_rate":
|
14 |
-
"loss":
|
15 |
"step": 10
|
16 |
},
|
17 |
{
|
18 |
"epoch": 0.09,
|
19 |
-
"learning_rate":
|
20 |
-
"loss":
|
21 |
"step": 20
|
22 |
},
|
23 |
{
|
24 |
"epoch": 0.13,
|
25 |
-
"learning_rate":
|
26 |
-
"loss":
|
27 |
"step": 30
|
28 |
},
|
29 |
{
|
30 |
"epoch": 0.18,
|
31 |
-
"learning_rate":
|
32 |
-
"loss":
|
33 |
"step": 40
|
34 |
},
|
35 |
{
|
36 |
"epoch": 0.22,
|
37 |
-
"learning_rate":
|
38 |
-
"loss": 0.
|
39 |
"step": 50
|
40 |
},
|
41 |
{
|
42 |
"epoch": 0.27,
|
43 |
-
"learning_rate":
|
44 |
-
"loss": 0.
|
45 |
"step": 60
|
46 |
},
|
47 |
{
|
48 |
"epoch": 0.31,
|
49 |
-
"learning_rate":
|
50 |
-
"loss": 0.
|
51 |
"step": 70
|
52 |
},
|
53 |
{
|
54 |
"epoch": 0.36,
|
55 |
-
"learning_rate":
|
56 |
-
"loss": 0.
|
57 |
"step": 80
|
58 |
},
|
59 |
{
|
60 |
"epoch": 0.4,
|
61 |
-
"learning_rate":
|
62 |
-
"loss": 0.
|
63 |
"step": 90
|
64 |
},
|
65 |
{
|
66 |
"epoch": 0.45,
|
67 |
-
"learning_rate":
|
68 |
-
"loss": 0.
|
69 |
"step": 100
|
70 |
},
|
71 |
{
|
72 |
"epoch": 0.49,
|
73 |
-
"learning_rate":
|
74 |
-
"loss": 0.
|
75 |
"step": 110
|
76 |
},
|
77 |
{
|
78 |
"epoch": 0.53,
|
79 |
-
"learning_rate":
|
80 |
-
"loss": 0.
|
81 |
"step": 120
|
82 |
},
|
83 |
{
|
84 |
"epoch": 0.58,
|
85 |
-
"learning_rate":
|
86 |
-
"loss": 0.
|
87 |
"step": 130
|
88 |
},
|
89 |
{
|
90 |
"epoch": 0.62,
|
91 |
-
"learning_rate":
|
92 |
-
"loss": 0.
|
93 |
"step": 140
|
94 |
},
|
95 |
{
|
96 |
"epoch": 0.67,
|
97 |
-
"learning_rate":
|
98 |
-
"loss": 0.
|
99 |
"step": 150
|
100 |
},
|
101 |
{
|
102 |
"epoch": 0.71,
|
103 |
-
"learning_rate":
|
104 |
-
"loss": 0.
|
105 |
"step": 160
|
106 |
},
|
107 |
{
|
108 |
"epoch": 0.76,
|
109 |
-
"learning_rate":
|
110 |
-
"loss": 0.
|
111 |
"step": 170
|
112 |
},
|
113 |
{
|
114 |
"epoch": 0.8,
|
115 |
-
"learning_rate": 4.
|
116 |
-
"loss": 0.
|
117 |
"step": 180
|
118 |
},
|
119 |
{
|
120 |
"epoch": 0.85,
|
121 |
-
"learning_rate": 4.
|
122 |
-
"loss": 0.
|
123 |
"step": 190
|
124 |
},
|
125 |
{
|
126 |
"epoch": 0.89,
|
127 |
-
"learning_rate": 4.
|
128 |
-
"loss": 0.
|
129 |
"step": 200
|
130 |
},
|
131 |
{
|
132 |
"epoch": 0.94,
|
133 |
-
"learning_rate": 4.
|
134 |
-
"loss": 0.
|
135 |
"step": 210
|
136 |
},
|
137 |
{
|
138 |
"epoch": 0.98,
|
139 |
-
"learning_rate": 4.
|
140 |
-
"loss": 0.
|
141 |
"step": 220
|
142 |
},
|
143 |
{
|
144 |
"epoch": 1.0,
|
145 |
-
"eval_accuracy": 0.
|
146 |
-
"eval_loss": 0.
|
147 |
-
"eval_runtime": 60.
|
148 |
-
"eval_samples_per_second": 119.
|
149 |
-
"eval_steps_per_second": 3.
|
150 |
"step": 224
|
151 |
},
|
152 |
{
|
153 |
"epoch": 1.02,
|
154 |
-
"learning_rate": 4.
|
155 |
-
"loss": 0.
|
156 |
"step": 230
|
157 |
},
|
158 |
{
|
159 |
"epoch": 1.07,
|
160 |
-
"learning_rate": 4.
|
161 |
-
"loss": 0.
|
162 |
"step": 240
|
163 |
},
|
164 |
{
|
165 |
"epoch": 1.11,
|
166 |
-
"learning_rate": 4.
|
167 |
-
"loss": 0.
|
168 |
"step": 250
|
169 |
},
|
170 |
{
|
171 |
"epoch": 1.16,
|
172 |
-
"learning_rate": 4.
|
173 |
-
"loss": 0.
|
174 |
"step": 260
|
175 |
},
|
176 |
{
|
177 |
"epoch": 1.2,
|
178 |
-
"learning_rate": 4.
|
179 |
-
"loss": 0.
|
180 |
"step": 270
|
181 |
},
|
182 |
{
|
183 |
"epoch": 1.25,
|
184 |
-
"learning_rate": 4.
|
185 |
-
"loss": 0.
|
186 |
"step": 280
|
187 |
},
|
188 |
{
|
189 |
"epoch": 1.29,
|
190 |
-
"learning_rate": 4.
|
191 |
-
"loss": 0.
|
192 |
"step": 290
|
193 |
},
|
194 |
{
|
195 |
"epoch": 1.34,
|
196 |
-
"learning_rate": 4.
|
197 |
-
"loss": 0.
|
198 |
"step": 300
|
199 |
},
|
200 |
{
|
201 |
"epoch": 1.38,
|
202 |
-
"learning_rate": 4.
|
203 |
-
"loss": 0.
|
204 |
"step": 310
|
205 |
},
|
206 |
{
|
207 |
"epoch": 1.43,
|
208 |
-
"learning_rate":
|
209 |
-
"loss": 0.
|
210 |
"step": 320
|
211 |
},
|
212 |
{
|
213 |
"epoch": 1.47,
|
214 |
-
"learning_rate":
|
215 |
-
"loss": 0.
|
216 |
"step": 330
|
217 |
},
|
218 |
{
|
219 |
"epoch": 1.51,
|
220 |
-
"learning_rate":
|
221 |
-
"loss": 0.
|
222 |
"step": 340
|
223 |
},
|
224 |
{
|
225 |
"epoch": 1.56,
|
226 |
-
"learning_rate":
|
227 |
-
"loss": 0.
|
228 |
"step": 350
|
229 |
},
|
230 |
{
|
231 |
"epoch": 1.6,
|
232 |
-
"learning_rate":
|
233 |
-
"loss": 0.
|
234 |
"step": 360
|
235 |
},
|
236 |
{
|
237 |
"epoch": 1.65,
|
238 |
-
"learning_rate":
|
239 |
-
"loss": 0.
|
240 |
"step": 370
|
241 |
},
|
242 |
{
|
243 |
"epoch": 1.69,
|
244 |
-
"learning_rate":
|
245 |
-
"loss": 0.
|
246 |
"step": 380
|
247 |
},
|
248 |
{
|
249 |
"epoch": 1.74,
|
250 |
-
"learning_rate":
|
251 |
-
"loss": 0.
|
252 |
"step": 390
|
253 |
},
|
254 |
{
|
255 |
"epoch": 1.78,
|
256 |
-
"learning_rate":
|
257 |
-
"loss": 0.
|
258 |
"step": 400
|
259 |
},
|
260 |
{
|
261 |
"epoch": 1.83,
|
262 |
-
"learning_rate":
|
263 |
-
"loss": 0.
|
264 |
"step": 410
|
265 |
},
|
266 |
{
|
267 |
"epoch": 1.87,
|
268 |
-
"learning_rate":
|
269 |
-
"loss": 0.
|
270 |
"step": 420
|
271 |
},
|
272 |
{
|
273 |
"epoch": 1.92,
|
274 |
-
"learning_rate":
|
275 |
-
"loss": 0.
|
276 |
"step": 430
|
277 |
},
|
278 |
{
|
279 |
"epoch": 1.96,
|
280 |
-
"learning_rate":
|
281 |
-
"loss": 0.
|
282 |
"step": 440
|
283 |
},
|
284 |
{
|
285 |
"epoch": 2.0,
|
286 |
-
"eval_accuracy": 0.
|
287 |
-
"eval_loss": 0.
|
288 |
-
"eval_runtime":
|
289 |
-
"eval_samples_per_second":
|
290 |
-
"eval_steps_per_second": 3.
|
291 |
"step": 449
|
292 |
},
|
293 |
{
|
294 |
"epoch": 2.0,
|
295 |
-
"learning_rate":
|
296 |
-
"loss": 0.
|
297 |
"step": 450
|
298 |
},
|
299 |
{
|
300 |
"epoch": 2.05,
|
301 |
-
"learning_rate":
|
302 |
-
"loss": 0.
|
303 |
"step": 460
|
304 |
},
|
305 |
{
|
306 |
"epoch": 2.09,
|
307 |
-
"learning_rate":
|
308 |
-
"loss": 0.
|
309 |
"step": 470
|
310 |
},
|
311 |
{
|
312 |
"epoch": 2.14,
|
313 |
-
"learning_rate":
|
314 |
-
"loss": 0.
|
315 |
"step": 480
|
316 |
},
|
317 |
{
|
318 |
"epoch": 2.18,
|
319 |
-
"learning_rate":
|
320 |
-
"loss": 0.
|
321 |
"step": 490
|
322 |
},
|
323 |
{
|
324 |
"epoch": 2.23,
|
325 |
-
"learning_rate":
|
326 |
-
"loss": 0.
|
327 |
"step": 500
|
328 |
},
|
329 |
{
|
330 |
"epoch": 2.27,
|
331 |
-
"learning_rate":
|
332 |
-
"loss": 0.
|
333 |
"step": 510
|
334 |
},
|
335 |
{
|
336 |
"epoch": 2.32,
|
337 |
-
"learning_rate":
|
338 |
-
"loss": 0.
|
339 |
"step": 520
|
340 |
},
|
341 |
{
|
342 |
"epoch": 2.36,
|
343 |
-
"learning_rate":
|
344 |
-
"loss": 0.
|
345 |
"step": 530
|
346 |
},
|
347 |
{
|
348 |
"epoch": 2.41,
|
349 |
-
"learning_rate":
|
350 |
-
"loss": 0.
|
351 |
"step": 540
|
352 |
},
|
353 |
{
|
354 |
"epoch": 2.45,
|
355 |
-
"learning_rate":
|
356 |
-
"loss": 0.
|
357 |
"step": 550
|
358 |
},
|
359 |
{
|
360 |
"epoch": 2.49,
|
361 |
-
"learning_rate":
|
362 |
-
"loss": 0.
|
363 |
"step": 560
|
364 |
},
|
365 |
{
|
366 |
"epoch": 2.54,
|
367 |
-
"learning_rate":
|
368 |
-
"loss": 0.
|
369 |
"step": 570
|
370 |
},
|
371 |
{
|
372 |
"epoch": 2.58,
|
373 |
-
"learning_rate":
|
374 |
-
"loss": 0.
|
375 |
"step": 580
|
376 |
},
|
377 |
{
|
378 |
"epoch": 2.63,
|
379 |
-
"learning_rate":
|
380 |
-
"loss": 0.
|
381 |
"step": 590
|
382 |
},
|
383 |
{
|
384 |
"epoch": 2.67,
|
385 |
-
"learning_rate":
|
386 |
-
"loss": 0.
|
387 |
"step": 600
|
388 |
},
|
389 |
{
|
390 |
"epoch": 2.72,
|
391 |
-
"learning_rate":
|
392 |
-
"loss": 0.
|
393 |
"step": 610
|
394 |
},
|
395 |
{
|
396 |
"epoch": 2.76,
|
397 |
-
"learning_rate":
|
398 |
-
"loss": 0.
|
399 |
"step": 620
|
400 |
},
|
401 |
{
|
402 |
"epoch": 2.81,
|
403 |
-
"learning_rate":
|
404 |
-
"loss": 0.
|
405 |
"step": 630
|
406 |
},
|
407 |
{
|
408 |
"epoch": 2.85,
|
409 |
-
"learning_rate":
|
410 |
-
"loss": 0.
|
411 |
"step": 640
|
412 |
},
|
413 |
{
|
414 |
"epoch": 2.9,
|
415 |
-
"learning_rate":
|
416 |
-
"loss": 0.
|
417 |
"step": 650
|
418 |
},
|
419 |
{
|
420 |
"epoch": 2.94,
|
421 |
-
"learning_rate":
|
422 |
-
"loss": 0.
|
423 |
"step": 660
|
424 |
},
|
425 |
{
|
426 |
"epoch": 2.98,
|
427 |
-
"learning_rate":
|
428 |
-
"loss": 0.
|
429 |
"step": 670
|
430 |
},
|
431 |
{
|
432 |
"epoch": 3.0,
|
433 |
-
"eval_accuracy": 0.
|
434 |
-
"eval_loss": 0.
|
435 |
-
"eval_runtime":
|
436 |
-
"eval_samples_per_second":
|
437 |
-
"eval_steps_per_second": 3.
|
438 |
"step": 673
|
439 |
},
|
440 |
{
|
441 |
"epoch": 3.03,
|
442 |
-
"learning_rate":
|
443 |
-
"loss": 0.
|
444 |
"step": 680
|
445 |
},
|
446 |
{
|
447 |
"epoch": 3.07,
|
448 |
-
"learning_rate":
|
449 |
-
"loss": 0.
|
450 |
"step": 690
|
451 |
},
|
452 |
{
|
453 |
"epoch": 3.12,
|
454 |
-
"learning_rate":
|
455 |
-
"loss": 0.
|
456 |
"step": 700
|
457 |
},
|
458 |
{
|
459 |
"epoch": 3.16,
|
460 |
-
"learning_rate":
|
461 |
-
"loss": 0.
|
462 |
"step": 710
|
463 |
},
|
464 |
{
|
465 |
"epoch": 3.21,
|
466 |
-
"learning_rate":
|
467 |
-
"loss": 0.
|
468 |
"step": 720
|
469 |
},
|
470 |
{
|
471 |
"epoch": 3.25,
|
472 |
-
"learning_rate":
|
473 |
-
"loss": 0.
|
474 |
"step": 730
|
475 |
},
|
476 |
{
|
477 |
"epoch": 3.3,
|
478 |
-
"learning_rate":
|
479 |
-
"loss": 0.
|
480 |
"step": 740
|
481 |
},
|
482 |
{
|
483 |
"epoch": 3.34,
|
484 |
-
"learning_rate":
|
485 |
-
"loss": 0.
|
486 |
"step": 750
|
487 |
},
|
488 |
{
|
489 |
"epoch": 3.39,
|
490 |
-
"learning_rate":
|
491 |
-
"loss": 0.
|
492 |
"step": 760
|
493 |
},
|
494 |
{
|
495 |
"epoch": 3.43,
|
496 |
-
"learning_rate":
|
497 |
-
"loss": 0.
|
498 |
"step": 770
|
499 |
},
|
500 |
{
|
501 |
"epoch": 3.47,
|
502 |
-
"learning_rate":
|
503 |
-
"loss": 0.
|
504 |
"step": 780
|
505 |
},
|
506 |
{
|
507 |
"epoch": 3.52,
|
508 |
-
"learning_rate":
|
509 |
-
"loss": 0.
|
510 |
"step": 790
|
511 |
},
|
512 |
{
|
513 |
"epoch": 3.56,
|
514 |
-
"learning_rate":
|
515 |
-
"loss": 0.
|
516 |
"step": 800
|
517 |
},
|
518 |
{
|
519 |
"epoch": 3.61,
|
520 |
-
"learning_rate":
|
521 |
-
"loss": 0.
|
522 |
"step": 810
|
523 |
},
|
524 |
{
|
525 |
"epoch": 3.65,
|
526 |
-
"learning_rate":
|
527 |
-
"loss": 0.
|
528 |
"step": 820
|
529 |
},
|
530 |
{
|
531 |
"epoch": 3.7,
|
532 |
-
"learning_rate":
|
533 |
-
"loss": 0.
|
534 |
"step": 830
|
535 |
},
|
536 |
{
|
537 |
"epoch": 3.74,
|
538 |
-
"learning_rate":
|
539 |
-
"loss": 0.
|
540 |
"step": 840
|
541 |
},
|
542 |
{
|
543 |
"epoch": 3.79,
|
544 |
-
"learning_rate":
|
545 |
-
"loss": 0.
|
546 |
"step": 850
|
547 |
},
|
548 |
{
|
549 |
"epoch": 3.83,
|
550 |
-
"learning_rate":
|
551 |
-
"loss": 0.
|
552 |
"step": 860
|
553 |
},
|
554 |
{
|
555 |
"epoch": 3.88,
|
556 |
-
"learning_rate":
|
557 |
-
"loss": 0.
|
558 |
"step": 870
|
559 |
},
|
560 |
{
|
561 |
"epoch": 3.92,
|
562 |
-
"learning_rate":
|
563 |
-
"loss": 0.
|
564 |
"step": 880
|
565 |
},
|
566 |
{
|
567 |
"epoch": 3.96,
|
568 |
-
"learning_rate":
|
569 |
-
"loss": 0.
|
570 |
"step": 890
|
571 |
},
|
572 |
{
|
573 |
"epoch": 4.0,
|
574 |
-
"eval_accuracy": 0.
|
575 |
-
"eval_loss": 0.
|
576 |
-
"eval_runtime":
|
577 |
-
"eval_samples_per_second":
|
578 |
-
"eval_steps_per_second": 3.
|
579 |
"step": 898
|
580 |
},
|
581 |
{
|
582 |
"epoch": 4.01,
|
583 |
-
"learning_rate":
|
584 |
-
"loss": 0.
|
585 |
"step": 900
|
586 |
},
|
587 |
{
|
588 |
"epoch": 4.05,
|
589 |
-
"learning_rate":
|
590 |
-
"loss": 0.
|
591 |
"step": 910
|
592 |
},
|
593 |
{
|
594 |
"epoch": 4.1,
|
595 |
-
"learning_rate":
|
596 |
-
"loss": 0.
|
597 |
"step": 920
|
598 |
},
|
599 |
{
|
600 |
"epoch": 4.14,
|
601 |
-
"learning_rate":
|
602 |
-
"loss": 0.
|
603 |
"step": 930
|
604 |
},
|
605 |
{
|
606 |
"epoch": 4.19,
|
607 |
-
"learning_rate":
|
608 |
-
"loss": 0.
|
609 |
"step": 940
|
610 |
},
|
611 |
{
|
612 |
"epoch": 4.23,
|
613 |
-
"learning_rate":
|
614 |
-
"loss": 0.
|
615 |
"step": 950
|
616 |
},
|
617 |
{
|
618 |
"epoch": 4.28,
|
619 |
-
"learning_rate":
|
620 |
-
"loss": 0.
|
621 |
"step": 960
|
622 |
},
|
623 |
{
|
624 |
"epoch": 4.32,
|
625 |
-
"learning_rate":
|
626 |
-
"loss": 0.
|
627 |
"step": 970
|
628 |
},
|
629 |
{
|
630 |
"epoch": 4.37,
|
631 |
-
"learning_rate":
|
632 |
-
"loss": 0.
|
633 |
"step": 980
|
634 |
},
|
635 |
{
|
636 |
"epoch": 4.41,
|
637 |
-
"learning_rate":
|
638 |
-
"loss": 0.
|
639 |
"step": 990
|
640 |
},
|
641 |
{
|
642 |
"epoch": 4.45,
|
643 |
-
"learning_rate":
|
644 |
-
"loss": 0.
|
645 |
"step": 1000
|
646 |
},
|
647 |
{
|
648 |
"epoch": 4.5,
|
649 |
-
"learning_rate":
|
650 |
-
"loss": 0.
|
651 |
"step": 1010
|
652 |
},
|
653 |
{
|
654 |
"epoch": 4.54,
|
655 |
-
"learning_rate":
|
656 |
-
"loss": 0.
|
657 |
"step": 1020
|
658 |
},
|
659 |
{
|
660 |
"epoch": 4.59,
|
661 |
-
"learning_rate":
|
662 |
-
"loss": 0.
|
663 |
"step": 1030
|
664 |
},
|
665 |
{
|
666 |
"epoch": 4.63,
|
667 |
-
"learning_rate":
|
668 |
-
"loss": 0.
|
669 |
"step": 1040
|
670 |
},
|
671 |
{
|
672 |
"epoch": 4.68,
|
673 |
-
"learning_rate":
|
674 |
-
"loss": 0.
|
675 |
"step": 1050
|
676 |
},
|
677 |
{
|
678 |
"epoch": 4.72,
|
679 |
-
"learning_rate": 2.
|
680 |
-
"loss": 0.
|
681 |
"step": 1060
|
682 |
},
|
683 |
{
|
684 |
"epoch": 4.77,
|
685 |
-
"learning_rate": 2.
|
686 |
-
"loss": 0.
|
687 |
"step": 1070
|
688 |
},
|
689 |
{
|
690 |
"epoch": 4.81,
|
691 |
-
"learning_rate":
|
692 |
-
"loss": 0.
|
693 |
"step": 1080
|
694 |
},
|
695 |
{
|
696 |
"epoch": 4.86,
|
697 |
-
"learning_rate":
|
698 |
-
"loss": 0.
|
699 |
"step": 1090
|
700 |
},
|
701 |
{
|
702 |
"epoch": 4.9,
|
703 |
-
"learning_rate":
|
704 |
-
"loss": 0.
|
705 |
"step": 1100
|
706 |
},
|
707 |
{
|
708 |
"epoch": 4.94,
|
709 |
-
"learning_rate":
|
710 |
-
"loss": 0.
|
711 |
"step": 1110
|
712 |
},
|
713 |
{
|
714 |
"epoch": 4.99,
|
715 |
-
"learning_rate":
|
716 |
-
"loss": 0.
|
717 |
"step": 1120
|
718 |
},
|
719 |
{
|
720 |
-
"epoch":
|
721 |
-
"eval_accuracy": 0.
|
722 |
-
"eval_loss": 0.
|
723 |
-
"eval_runtime": 60.
|
724 |
-
"eval_samples_per_second": 118.
|
725 |
-
"eval_steps_per_second": 3.
|
726 |
-
"step":
|
727 |
},
|
728 |
{
|
729 |
-
"epoch":
|
730 |
-
"
|
731 |
-
"
|
732 |
-
"
|
733 |
-
|
734 |
-
|
735 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
736 |
}
|
737 |
],
|
738 |
"logging_steps": 10,
|
739 |
-
"max_steps":
|
740 |
"num_input_tokens_seen": 0,
|
741 |
-
"num_train_epochs":
|
742 |
"save_steps": 500,
|
743 |
-
"total_flos":
|
744 |
"train_batch_size": 32,
|
745 |
"trial_name": null,
|
746 |
"trial_params": null
|
|
|
1 |
{
|
2 |
+
"best_metric": 0.7057676232933965,
|
3 |
+
"best_model_checkpoint": "vit-base-patch16-224-in21k-finetuned/checkpoint-1122",
|
4 |
+
"epoch": 9.977728285077951,
|
5 |
"eval_steps": 500,
|
6 |
+
"global_step": 2240,
|
7 |
"is_hyper_param_search": false,
|
8 |
"is_local_process_zero": true,
|
9 |
"is_world_process_zero": true,
|
10 |
"log_history": [
|
11 |
{
|
12 |
"epoch": 0.04,
|
13 |
+
"learning_rate": 2.2321428571428573e-06,
|
14 |
+
"loss": 0.5702,
|
15 |
"step": 10
|
16 |
},
|
17 |
{
|
18 |
"epoch": 0.09,
|
19 |
+
"learning_rate": 4.464285714285715e-06,
|
20 |
+
"loss": 0.5531,
|
21 |
"step": 20
|
22 |
},
|
23 |
{
|
24 |
"epoch": 0.13,
|
25 |
+
"learning_rate": 6.696428571428572e-06,
|
26 |
+
"loss": 0.5328,
|
27 |
"step": 30
|
28 |
},
|
29 |
{
|
30 |
"epoch": 0.18,
|
31 |
+
"learning_rate": 8.92857142857143e-06,
|
32 |
+
"loss": 0.5412,
|
33 |
"step": 40
|
34 |
},
|
35 |
{
|
36 |
"epoch": 0.22,
|
37 |
+
"learning_rate": 1.1160714285714287e-05,
|
38 |
+
"loss": 0.5131,
|
39 |
"step": 50
|
40 |
},
|
41 |
{
|
42 |
"epoch": 0.27,
|
43 |
+
"learning_rate": 1.3392857142857144e-05,
|
44 |
+
"loss": 0.5021,
|
45 |
"step": 60
|
46 |
},
|
47 |
{
|
48 |
"epoch": 0.31,
|
49 |
+
"learning_rate": 1.5625e-05,
|
50 |
+
"loss": 0.4657,
|
51 |
"step": 70
|
52 |
},
|
53 |
{
|
54 |
"epoch": 0.36,
|
55 |
+
"learning_rate": 1.785714285714286e-05,
|
56 |
+
"loss": 0.4831,
|
57 |
"step": 80
|
58 |
},
|
59 |
{
|
60 |
"epoch": 0.4,
|
61 |
+
"learning_rate": 2.0089285714285717e-05,
|
62 |
+
"loss": 0.4942,
|
63 |
"step": 90
|
64 |
},
|
65 |
{
|
66 |
"epoch": 0.45,
|
67 |
+
"learning_rate": 2.2321428571428575e-05,
|
68 |
+
"loss": 0.531,
|
69 |
"step": 100
|
70 |
},
|
71 |
{
|
72 |
"epoch": 0.49,
|
73 |
+
"learning_rate": 2.455357142857143e-05,
|
74 |
+
"loss": 0.4907,
|
75 |
"step": 110
|
76 |
},
|
77 |
{
|
78 |
"epoch": 0.53,
|
79 |
+
"learning_rate": 2.6785714285714288e-05,
|
80 |
+
"loss": 0.4482,
|
81 |
"step": 120
|
82 |
},
|
83 |
{
|
84 |
"epoch": 0.58,
|
85 |
+
"learning_rate": 2.9017857142857146e-05,
|
86 |
+
"loss": 0.5041,
|
87 |
"step": 130
|
88 |
},
|
89 |
{
|
90 |
"epoch": 0.62,
|
91 |
+
"learning_rate": 3.125e-05,
|
92 |
+
"loss": 0.4777,
|
93 |
"step": 140
|
94 |
},
|
95 |
{
|
96 |
"epoch": 0.67,
|
97 |
+
"learning_rate": 3.348214285714286e-05,
|
98 |
+
"loss": 0.4692,
|
99 |
"step": 150
|
100 |
},
|
101 |
{
|
102 |
"epoch": 0.71,
|
103 |
+
"learning_rate": 3.571428571428572e-05,
|
104 |
+
"loss": 0.4646,
|
105 |
"step": 160
|
106 |
},
|
107 |
{
|
108 |
"epoch": 0.76,
|
109 |
+
"learning_rate": 3.794642857142857e-05,
|
110 |
+
"loss": 0.4503,
|
111 |
"step": 170
|
112 |
},
|
113 |
{
|
114 |
"epoch": 0.8,
|
115 |
+
"learning_rate": 4.017857142857143e-05,
|
116 |
+
"loss": 0.5269,
|
117 |
"step": 180
|
118 |
},
|
119 |
{
|
120 |
"epoch": 0.85,
|
121 |
+
"learning_rate": 4.2410714285714285e-05,
|
122 |
+
"loss": 0.4849,
|
123 |
"step": 190
|
124 |
},
|
125 |
{
|
126 |
"epoch": 0.89,
|
127 |
+
"learning_rate": 4.464285714285715e-05,
|
128 |
+
"loss": 0.4956,
|
129 |
"step": 200
|
130 |
},
|
131 |
{
|
132 |
"epoch": 0.94,
|
133 |
+
"learning_rate": 4.6875e-05,
|
134 |
+
"loss": 0.4993,
|
135 |
"step": 210
|
136 |
},
|
137 |
{
|
138 |
"epoch": 0.98,
|
139 |
+
"learning_rate": 4.910714285714286e-05,
|
140 |
+
"loss": 0.4887,
|
141 |
"step": 220
|
142 |
},
|
143 |
{
|
144 |
"epoch": 1.0,
|
145 |
+
"eval_accuracy": 0.6776260796879353,
|
146 |
+
"eval_loss": 0.9212561845779419,
|
147 |
+
"eval_runtime": 60.2714,
|
148 |
+
"eval_samples_per_second": 119.095,
|
149 |
+
"eval_steps_per_second": 3.733,
|
150 |
"step": 224
|
151 |
},
|
152 |
{
|
153 |
"epoch": 1.02,
|
154 |
+
"learning_rate": 4.985119047619048e-05,
|
155 |
+
"loss": 0.5157,
|
156 |
"step": 230
|
157 |
},
|
158 |
{
|
159 |
"epoch": 1.07,
|
160 |
+
"learning_rate": 4.960317460317461e-05,
|
161 |
+
"loss": 0.5364,
|
162 |
"step": 240
|
163 |
},
|
164 |
{
|
165 |
"epoch": 1.11,
|
166 |
+
"learning_rate": 4.9355158730158735e-05,
|
167 |
+
"loss": 0.5125,
|
168 |
"step": 250
|
169 |
},
|
170 |
{
|
171 |
"epoch": 1.16,
|
172 |
+
"learning_rate": 4.910714285714286e-05,
|
173 |
+
"loss": 0.5028,
|
174 |
"step": 260
|
175 |
},
|
176 |
{
|
177 |
"epoch": 1.2,
|
178 |
+
"learning_rate": 4.8859126984126984e-05,
|
179 |
+
"loss": 0.4801,
|
180 |
"step": 270
|
181 |
},
|
182 |
{
|
183 |
"epoch": 1.25,
|
184 |
+
"learning_rate": 4.8611111111111115e-05,
|
185 |
+
"loss": 0.5442,
|
186 |
"step": 280
|
187 |
},
|
188 |
{
|
189 |
"epoch": 1.29,
|
190 |
+
"learning_rate": 4.836309523809524e-05,
|
191 |
+
"loss": 0.4718,
|
192 |
"step": 290
|
193 |
},
|
194 |
{
|
195 |
"epoch": 1.34,
|
196 |
+
"learning_rate": 4.811507936507937e-05,
|
197 |
+
"loss": 0.5095,
|
198 |
"step": 300
|
199 |
},
|
200 |
{
|
201 |
"epoch": 1.38,
|
202 |
+
"learning_rate": 4.7867063492063496e-05,
|
203 |
+
"loss": 0.5151,
|
204 |
"step": 310
|
205 |
},
|
206 |
{
|
207 |
"epoch": 1.43,
|
208 |
+
"learning_rate": 4.761904761904762e-05,
|
209 |
+
"loss": 0.4909,
|
210 |
"step": 320
|
211 |
},
|
212 |
{
|
213 |
"epoch": 1.47,
|
214 |
+
"learning_rate": 4.7371031746031745e-05,
|
215 |
+
"loss": 0.4797,
|
216 |
"step": 330
|
217 |
},
|
218 |
{
|
219 |
"epoch": 1.51,
|
220 |
+
"learning_rate": 4.7123015873015876e-05,
|
221 |
+
"loss": 0.4604,
|
222 |
"step": 340
|
223 |
},
|
224 |
{
|
225 |
"epoch": 1.56,
|
226 |
+
"learning_rate": 4.6875e-05,
|
227 |
+
"loss": 0.5055,
|
228 |
"step": 350
|
229 |
},
|
230 |
{
|
231 |
"epoch": 1.6,
|
232 |
+
"learning_rate": 4.662698412698413e-05,
|
233 |
+
"loss": 0.5105,
|
234 |
"step": 360
|
235 |
},
|
236 |
{
|
237 |
"epoch": 1.65,
|
238 |
+
"learning_rate": 4.637896825396826e-05,
|
239 |
+
"loss": 0.4788,
|
240 |
"step": 370
|
241 |
},
|
242 |
{
|
243 |
"epoch": 1.69,
|
244 |
+
"learning_rate": 4.613095238095239e-05,
|
245 |
+
"loss": 0.4973,
|
246 |
"step": 380
|
247 |
},
|
248 |
{
|
249 |
"epoch": 1.74,
|
250 |
+
"learning_rate": 4.5882936507936506e-05,
|
251 |
+
"loss": 0.5572,
|
252 |
"step": 390
|
253 |
},
|
254 |
{
|
255 |
"epoch": 1.78,
|
256 |
+
"learning_rate": 4.563492063492064e-05,
|
257 |
+
"loss": 0.5182,
|
258 |
"step": 400
|
259 |
},
|
260 |
{
|
261 |
"epoch": 1.83,
|
262 |
+
"learning_rate": 4.538690476190476e-05,
|
263 |
+
"loss": 0.4698,
|
264 |
"step": 410
|
265 |
},
|
266 |
{
|
267 |
"epoch": 1.87,
|
268 |
+
"learning_rate": 4.5138888888888894e-05,
|
269 |
+
"loss": 0.4881,
|
270 |
"step": 420
|
271 |
},
|
272 |
{
|
273 |
"epoch": 1.92,
|
274 |
+
"learning_rate": 4.489087301587302e-05,
|
275 |
+
"loss": 0.4835,
|
276 |
"step": 430
|
277 |
},
|
278 |
{
|
279 |
"epoch": 1.96,
|
280 |
+
"learning_rate": 4.464285714285715e-05,
|
281 |
+
"loss": 0.4969,
|
282 |
"step": 440
|
283 |
},
|
284 |
{
|
285 |
"epoch": 2.0,
|
286 |
+
"eval_accuracy": 0.6926720534967957,
|
287 |
+
"eval_loss": 0.9037817716598511,
|
288 |
+
"eval_runtime": 60.4491,
|
289 |
+
"eval_samples_per_second": 118.744,
|
290 |
+
"eval_steps_per_second": 3.722,
|
291 |
"step": 449
|
292 |
},
|
293 |
{
|
294 |
"epoch": 2.0,
|
295 |
+
"learning_rate": 4.439484126984127e-05,
|
296 |
+
"loss": 0.4971,
|
297 |
"step": 450
|
298 |
},
|
299 |
{
|
300 |
"epoch": 2.05,
|
301 |
+
"learning_rate": 4.41468253968254e-05,
|
302 |
+
"loss": 0.4229,
|
303 |
"step": 460
|
304 |
},
|
305 |
{
|
306 |
"epoch": 2.09,
|
307 |
+
"learning_rate": 4.3898809523809523e-05,
|
308 |
+
"loss": 0.3694,
|
309 |
"step": 470
|
310 |
},
|
311 |
{
|
312 |
"epoch": 2.14,
|
313 |
+
"learning_rate": 4.3650793650793655e-05,
|
314 |
+
"loss": 0.4295,
|
315 |
"step": 480
|
316 |
},
|
317 |
{
|
318 |
"epoch": 2.18,
|
319 |
+
"learning_rate": 4.340277777777778e-05,
|
320 |
+
"loss": 0.3998,
|
321 |
"step": 490
|
322 |
},
|
323 |
{
|
324 |
"epoch": 2.23,
|
325 |
+
"learning_rate": 4.315476190476191e-05,
|
326 |
+
"loss": 0.4112,
|
327 |
"step": 500
|
328 |
},
|
329 |
{
|
330 |
"epoch": 2.27,
|
331 |
+
"learning_rate": 4.290674603174603e-05,
|
332 |
+
"loss": 0.3728,
|
333 |
"step": 510
|
334 |
},
|
335 |
{
|
336 |
"epoch": 2.32,
|
337 |
+
"learning_rate": 4.265873015873016e-05,
|
338 |
+
"loss": 0.4243,
|
339 |
"step": 520
|
340 |
},
|
341 |
{
|
342 |
"epoch": 2.36,
|
343 |
+
"learning_rate": 4.2410714285714285e-05,
|
344 |
+
"loss": 0.4209,
|
345 |
"step": 530
|
346 |
},
|
347 |
{
|
348 |
"epoch": 2.41,
|
349 |
+
"learning_rate": 4.2162698412698416e-05,
|
350 |
+
"loss": 0.3886,
|
351 |
"step": 540
|
352 |
},
|
353 |
{
|
354 |
"epoch": 2.45,
|
355 |
+
"learning_rate": 4.191468253968254e-05,
|
356 |
+
"loss": 0.3707,
|
357 |
"step": 550
|
358 |
},
|
359 |
{
|
360 |
"epoch": 2.49,
|
361 |
+
"learning_rate": 4.166666666666667e-05,
|
362 |
+
"loss": 0.4203,
|
363 |
"step": 560
|
364 |
},
|
365 |
{
|
366 |
"epoch": 2.54,
|
367 |
+
"learning_rate": 4.14186507936508e-05,
|
368 |
+
"loss": 0.4213,
|
369 |
"step": 570
|
370 |
},
|
371 |
{
|
372 |
"epoch": 2.58,
|
373 |
+
"learning_rate": 4.117063492063492e-05,
|
374 |
+
"loss": 0.3677,
|
375 |
"step": 580
|
376 |
},
|
377 |
{
|
378 |
"epoch": 2.63,
|
379 |
+
"learning_rate": 4.0922619047619046e-05,
|
380 |
+
"loss": 0.4198,
|
381 |
"step": 590
|
382 |
},
|
383 |
{
|
384 |
"epoch": 2.67,
|
385 |
+
"learning_rate": 4.067460317460318e-05,
|
386 |
+
"loss": 0.4307,
|
387 |
"step": 600
|
388 |
},
|
389 |
{
|
390 |
"epoch": 2.72,
|
391 |
+
"learning_rate": 4.04265873015873e-05,
|
392 |
+
"loss": 0.4073,
|
393 |
"step": 610
|
394 |
},
|
395 |
{
|
396 |
"epoch": 2.76,
|
397 |
+
"learning_rate": 4.017857142857143e-05,
|
398 |
+
"loss": 0.3957,
|
399 |
"step": 620
|
400 |
},
|
401 |
{
|
402 |
"epoch": 2.81,
|
403 |
+
"learning_rate": 3.993055555555556e-05,
|
404 |
+
"loss": 0.479,
|
405 |
"step": 630
|
406 |
},
|
407 |
{
|
408 |
"epoch": 2.85,
|
409 |
+
"learning_rate": 3.968253968253968e-05,
|
410 |
+
"loss": 0.4069,
|
411 |
"step": 640
|
412 |
},
|
413 |
{
|
414 |
"epoch": 2.9,
|
415 |
+
"learning_rate": 3.943452380952381e-05,
|
416 |
+
"loss": 0.417,
|
417 |
"step": 650
|
418 |
},
|
419 |
{
|
420 |
"epoch": 2.94,
|
421 |
+
"learning_rate": 3.918650793650794e-05,
|
422 |
+
"loss": 0.4129,
|
423 |
"step": 660
|
424 |
},
|
425 |
{
|
426 |
"epoch": 2.98,
|
427 |
+
"learning_rate": 3.893849206349206e-05,
|
428 |
+
"loss": 0.4095,
|
429 |
"step": 670
|
430 |
},
|
431 |
{
|
432 |
"epoch": 3.0,
|
433 |
+
"eval_accuracy": 0.6976873780997492,
|
434 |
+
"eval_loss": 0.9076758027076721,
|
435 |
+
"eval_runtime": 60.0956,
|
436 |
+
"eval_samples_per_second": 119.443,
|
437 |
+
"eval_steps_per_second": 3.744,
|
438 |
"step": 673
|
439 |
},
|
440 |
{
|
441 |
"epoch": 3.03,
|
442 |
+
"learning_rate": 3.8690476190476195e-05,
|
443 |
+
"loss": 0.3228,
|
444 |
"step": 680
|
445 |
},
|
446 |
{
|
447 |
"epoch": 3.07,
|
448 |
+
"learning_rate": 3.844246031746032e-05,
|
449 |
+
"loss": 0.3362,
|
450 |
"step": 690
|
451 |
},
|
452 |
{
|
453 |
"epoch": 3.12,
|
454 |
+
"learning_rate": 3.8194444444444444e-05,
|
455 |
+
"loss": 0.3026,
|
456 |
"step": 700
|
457 |
},
|
458 |
{
|
459 |
"epoch": 3.16,
|
460 |
+
"learning_rate": 3.794642857142857e-05,
|
461 |
+
"loss": 0.3237,
|
462 |
"step": 710
|
463 |
},
|
464 |
{
|
465 |
"epoch": 3.21,
|
466 |
+
"learning_rate": 3.76984126984127e-05,
|
467 |
+
"loss": 0.3192,
|
468 |
"step": 720
|
469 |
},
|
470 |
{
|
471 |
"epoch": 3.25,
|
472 |
+
"learning_rate": 3.7450396825396824e-05,
|
473 |
+
"loss": 0.3461,
|
474 |
"step": 730
|
475 |
},
|
476 |
{
|
477 |
"epoch": 3.3,
|
478 |
+
"learning_rate": 3.7202380952380956e-05,
|
479 |
+
"loss": 0.3568,
|
480 |
"step": 740
|
481 |
},
|
482 |
{
|
483 |
"epoch": 3.34,
|
484 |
+
"learning_rate": 3.695436507936508e-05,
|
485 |
+
"loss": 0.3143,
|
486 |
"step": 750
|
487 |
},
|
488 |
{
|
489 |
"epoch": 3.39,
|
490 |
+
"learning_rate": 3.6706349206349205e-05,
|
491 |
+
"loss": 0.3381,
|
492 |
"step": 760
|
493 |
},
|
494 |
{
|
495 |
"epoch": 3.43,
|
496 |
+
"learning_rate": 3.6458333333333336e-05,
|
497 |
+
"loss": 0.3297,
|
498 |
"step": 770
|
499 |
},
|
500 |
{
|
501 |
"epoch": 3.47,
|
502 |
+
"learning_rate": 3.621031746031746e-05,
|
503 |
+
"loss": 0.3333,
|
504 |
"step": 780
|
505 |
},
|
506 |
{
|
507 |
"epoch": 3.52,
|
508 |
+
"learning_rate": 3.5962301587301586e-05,
|
509 |
+
"loss": 0.3232,
|
510 |
"step": 790
|
511 |
},
|
512 |
{
|
513 |
"epoch": 3.56,
|
514 |
+
"learning_rate": 3.571428571428572e-05,
|
515 |
+
"loss": 0.3449,
|
516 |
"step": 800
|
517 |
},
|
518 |
{
|
519 |
"epoch": 3.61,
|
520 |
+
"learning_rate": 3.546626984126984e-05,
|
521 |
+
"loss": 0.3563,
|
522 |
"step": 810
|
523 |
},
|
524 |
{
|
525 |
"epoch": 3.65,
|
526 |
+
"learning_rate": 3.521825396825397e-05,
|
527 |
+
"loss": 0.3326,
|
528 |
"step": 820
|
529 |
},
|
530 |
{
|
531 |
"epoch": 3.7,
|
532 |
+
"learning_rate": 3.49702380952381e-05,
|
533 |
+
"loss": 0.333,
|
534 |
"step": 830
|
535 |
},
|
536 |
{
|
537 |
"epoch": 3.74,
|
538 |
+
"learning_rate": 3.472222222222222e-05,
|
539 |
+
"loss": 0.3357,
|
540 |
"step": 840
|
541 |
},
|
542 |
{
|
543 |
"epoch": 3.79,
|
544 |
+
"learning_rate": 3.4474206349206354e-05,
|
545 |
+
"loss": 0.3738,
|
546 |
"step": 850
|
547 |
},
|
548 |
{
|
549 |
"epoch": 3.83,
|
550 |
+
"learning_rate": 3.422619047619048e-05,
|
551 |
+
"loss": 0.3769,
|
552 |
"step": 860
|
553 |
},
|
554 |
{
|
555 |
"epoch": 3.88,
|
556 |
+
"learning_rate": 3.397817460317461e-05,
|
557 |
+
"loss": 0.3667,
|
558 |
"step": 870
|
559 |
},
|
560 |
{
|
561 |
"epoch": 3.92,
|
562 |
+
"learning_rate": 3.3730158730158734e-05,
|
563 |
+
"loss": 0.3459,
|
564 |
"step": 880
|
565 |
},
|
566 |
{
|
567 |
"epoch": 3.96,
|
568 |
+
"learning_rate": 3.348214285714286e-05,
|
569 |
+
"loss": 0.3344,
|
570 |
"step": 890
|
571 |
},
|
572 |
{
|
573 |
"epoch": 4.0,
|
574 |
+
"eval_accuracy": 0.6989412092504876,
|
575 |
+
"eval_loss": 0.939809262752533,
|
576 |
+
"eval_runtime": 60.4275,
|
577 |
+
"eval_samples_per_second": 118.787,
|
578 |
+
"eval_steps_per_second": 3.723,
|
579 |
"step": 898
|
580 |
},
|
581 |
{
|
582 |
"epoch": 4.01,
|
583 |
+
"learning_rate": 3.3234126984126983e-05,
|
584 |
+
"loss": 0.3389,
|
585 |
"step": 900
|
586 |
},
|
587 |
{
|
588 |
"epoch": 4.05,
|
589 |
+
"learning_rate": 3.2986111111111115e-05,
|
590 |
+
"loss": 0.274,
|
591 |
"step": 910
|
592 |
},
|
593 |
{
|
594 |
"epoch": 4.1,
|
595 |
+
"learning_rate": 3.273809523809524e-05,
|
596 |
+
"loss": 0.2425,
|
597 |
"step": 920
|
598 |
},
|
599 |
{
|
600 |
"epoch": 4.14,
|
601 |
+
"learning_rate": 3.249007936507937e-05,
|
602 |
+
"loss": 0.2447,
|
603 |
"step": 930
|
604 |
},
|
605 |
{
|
606 |
"epoch": 4.19,
|
607 |
+
"learning_rate": 3.2242063492063495e-05,
|
608 |
+
"loss": 0.2604,
|
609 |
"step": 940
|
610 |
},
|
611 |
{
|
612 |
"epoch": 4.23,
|
613 |
+
"learning_rate": 3.199404761904762e-05,
|
614 |
+
"loss": 0.26,
|
615 |
"step": 950
|
616 |
},
|
617 |
{
|
618 |
"epoch": 4.28,
|
619 |
+
"learning_rate": 3.1746031746031745e-05,
|
620 |
+
"loss": 0.2547,
|
621 |
"step": 960
|
622 |
},
|
623 |
{
|
624 |
"epoch": 4.32,
|
625 |
+
"learning_rate": 3.1498015873015876e-05,
|
626 |
+
"loss": 0.2642,
|
627 |
"step": 970
|
628 |
},
|
629 |
{
|
630 |
"epoch": 4.37,
|
631 |
+
"learning_rate": 3.125e-05,
|
632 |
+
"loss": 0.2564,
|
633 |
"step": 980
|
634 |
},
|
635 |
{
|
636 |
"epoch": 4.41,
|
637 |
+
"learning_rate": 3.100198412698413e-05,
|
638 |
+
"loss": 0.2667,
|
639 |
"step": 990
|
640 |
},
|
641 |
{
|
642 |
"epoch": 4.45,
|
643 |
+
"learning_rate": 3.075396825396826e-05,
|
644 |
+
"loss": 0.2687,
|
645 |
"step": 1000
|
646 |
},
|
647 |
{
|
648 |
"epoch": 4.5,
|
649 |
+
"learning_rate": 3.0505952380952385e-05,
|
650 |
+
"loss": 0.2744,
|
651 |
"step": 1010
|
652 |
},
|
653 |
{
|
654 |
"epoch": 4.54,
|
655 |
+
"learning_rate": 3.0257936507936506e-05,
|
656 |
+
"loss": 0.2594,
|
657 |
"step": 1020
|
658 |
},
|
659 |
{
|
660 |
"epoch": 4.59,
|
661 |
+
"learning_rate": 3.0009920634920634e-05,
|
662 |
+
"loss": 0.3404,
|
663 |
"step": 1030
|
664 |
},
|
665 |
{
|
666 |
"epoch": 4.63,
|
667 |
+
"learning_rate": 2.9761904761904762e-05,
|
668 |
+
"loss": 0.3398,
|
669 |
"step": 1040
|
670 |
},
|
671 |
{
|
672 |
"epoch": 4.68,
|
673 |
+
"learning_rate": 2.951388888888889e-05,
|
674 |
+
"loss": 0.2875,
|
675 |
"step": 1050
|
676 |
},
|
677 |
{
|
678 |
"epoch": 4.72,
|
679 |
+
"learning_rate": 2.9265873015873018e-05,
|
680 |
+
"loss": 0.3213,
|
681 |
"step": 1060
|
682 |
},
|
683 |
{
|
684 |
"epoch": 4.77,
|
685 |
+
"learning_rate": 2.9017857142857146e-05,
|
686 |
+
"loss": 0.3015,
|
687 |
"step": 1070
|
688 |
},
|
689 |
{
|
690 |
"epoch": 4.81,
|
691 |
+
"learning_rate": 2.876984126984127e-05,
|
692 |
+
"loss": 0.2809,
|
693 |
"step": 1080
|
694 |
},
|
695 |
{
|
696 |
"epoch": 4.86,
|
697 |
+
"learning_rate": 2.8521825396825395e-05,
|
698 |
+
"loss": 0.3107,
|
699 |
"step": 1090
|
700 |
},
|
701 |
{
|
702 |
"epoch": 4.9,
|
703 |
+
"learning_rate": 2.8273809523809523e-05,
|
704 |
+
"loss": 0.3181,
|
705 |
"step": 1100
|
706 |
},
|
707 |
{
|
708 |
"epoch": 4.94,
|
709 |
+
"learning_rate": 2.802579365079365e-05,
|
710 |
+
"loss": 0.2677,
|
711 |
"step": 1110
|
712 |
},
|
713 |
{
|
714 |
"epoch": 4.99,
|
715 |
+
"learning_rate": 2.777777777777778e-05,
|
716 |
+
"loss": 0.3055,
|
717 |
"step": 1120
|
718 |
},
|
719 |
{
|
720 |
+
"epoch": 5.0,
|
721 |
+
"eval_accuracy": 0.7057676232933965,
|
722 |
+
"eval_loss": 0.9803113341331482,
|
723 |
+
"eval_runtime": 60.4436,
|
724 |
+
"eval_samples_per_second": 118.755,
|
725 |
+
"eval_steps_per_second": 3.722,
|
726 |
+
"step": 1122
|
727 |
},
|
728 |
{
|
729 |
+
"epoch": 5.03,
|
730 |
+
"learning_rate": 2.7529761904761907e-05,
|
731 |
+
"loss": 0.2474,
|
732 |
+
"step": 1130
|
733 |
+
},
|
734 |
+
{
|
735 |
+
"epoch": 5.08,
|
736 |
+
"learning_rate": 2.7281746031746032e-05,
|
737 |
+
"loss": 0.2207,
|
738 |
+
"step": 1140
|
739 |
+
},
|
740 |
+
{
|
741 |
+
"epoch": 5.12,
|
742 |
+
"learning_rate": 2.703373015873016e-05,
|
743 |
+
"loss": 0.2116,
|
744 |
+
"step": 1150
|
745 |
+
},
|
746 |
+
{
|
747 |
+
"epoch": 5.17,
|
748 |
+
"learning_rate": 2.6785714285714288e-05,
|
749 |
+
"loss": 0.1894,
|
750 |
+
"step": 1160
|
751 |
+
},
|
752 |
+
{
|
753 |
+
"epoch": 5.21,
|
754 |
+
"learning_rate": 2.6537698412698416e-05,
|
755 |
+
"loss": 0.2606,
|
756 |
+
"step": 1170
|
757 |
+
},
|
758 |
+
{
|
759 |
+
"epoch": 5.26,
|
760 |
+
"learning_rate": 2.628968253968254e-05,
|
761 |
+
"loss": 0.1872,
|
762 |
+
"step": 1180
|
763 |
+
},
|
764 |
+
{
|
765 |
+
"epoch": 5.3,
|
766 |
+
"learning_rate": 2.604166666666667e-05,
|
767 |
+
"loss": 0.215,
|
768 |
+
"step": 1190
|
769 |
+
},
|
770 |
+
{
|
771 |
+
"epoch": 5.35,
|
772 |
+
"learning_rate": 2.5793650793650796e-05,
|
773 |
+
"loss": 0.1991,
|
774 |
+
"step": 1200
|
775 |
+
},
|
776 |
+
{
|
777 |
+
"epoch": 5.39,
|
778 |
+
"learning_rate": 2.554563492063492e-05,
|
779 |
+
"loss": 0.2105,
|
780 |
+
"step": 1210
|
781 |
+
},
|
782 |
+
{
|
783 |
+
"epoch": 5.43,
|
784 |
+
"learning_rate": 2.529761904761905e-05,
|
785 |
+
"loss": 0.2384,
|
786 |
+
"step": 1220
|
787 |
+
},
|
788 |
+
{
|
789 |
+
"epoch": 5.48,
|
790 |
+
"learning_rate": 2.5049603174603177e-05,
|
791 |
+
"loss": 0.222,
|
792 |
+
"step": 1230
|
793 |
+
},
|
794 |
+
{
|
795 |
+
"epoch": 5.52,
|
796 |
+
"learning_rate": 2.4801587301587305e-05,
|
797 |
+
"loss": 0.2175,
|
798 |
+
"step": 1240
|
799 |
+
},
|
800 |
+
{
|
801 |
+
"epoch": 5.57,
|
802 |
+
"learning_rate": 2.455357142857143e-05,
|
803 |
+
"loss": 0.2362,
|
804 |
+
"step": 1250
|
805 |
+
},
|
806 |
+
{
|
807 |
+
"epoch": 5.61,
|
808 |
+
"learning_rate": 2.4305555555555558e-05,
|
809 |
+
"loss": 0.2768,
|
810 |
+
"step": 1260
|
811 |
+
},
|
812 |
+
{
|
813 |
+
"epoch": 5.66,
|
814 |
+
"learning_rate": 2.4057539682539686e-05,
|
815 |
+
"loss": 0.2614,
|
816 |
+
"step": 1270
|
817 |
+
},
|
818 |
+
{
|
819 |
+
"epoch": 5.7,
|
820 |
+
"learning_rate": 2.380952380952381e-05,
|
821 |
+
"loss": 0.2127,
|
822 |
+
"step": 1280
|
823 |
+
},
|
824 |
+
{
|
825 |
+
"epoch": 5.75,
|
826 |
+
"learning_rate": 2.3561507936507938e-05,
|
827 |
+
"loss": 0.2232,
|
828 |
+
"step": 1290
|
829 |
+
},
|
830 |
+
{
|
831 |
+
"epoch": 5.79,
|
832 |
+
"learning_rate": 2.3313492063492066e-05,
|
833 |
+
"loss": 0.2089,
|
834 |
+
"step": 1300
|
835 |
+
},
|
836 |
+
{
|
837 |
+
"epoch": 5.84,
|
838 |
+
"learning_rate": 2.3065476190476194e-05,
|
839 |
+
"loss": 0.2321,
|
840 |
+
"step": 1310
|
841 |
+
},
|
842 |
+
{
|
843 |
+
"epoch": 5.88,
|
844 |
+
"learning_rate": 2.281746031746032e-05,
|
845 |
+
"loss": 0.242,
|
846 |
+
"step": 1320
|
847 |
+
},
|
848 |
+
{
|
849 |
+
"epoch": 5.92,
|
850 |
+
"learning_rate": 2.2569444444444447e-05,
|
851 |
+
"loss": 0.2388,
|
852 |
+
"step": 1330
|
853 |
+
},
|
854 |
+
{
|
855 |
+
"epoch": 5.97,
|
856 |
+
"learning_rate": 2.2321428571428575e-05,
|
857 |
+
"loss": 0.2214,
|
858 |
+
"step": 1340
|
859 |
+
},
|
860 |
+
{
|
861 |
+
"epoch": 6.0,
|
862 |
+
"eval_accuracy": 0.6953190303705767,
|
863 |
+
"eval_loss": 1.0336716175079346,
|
864 |
+
"eval_runtime": 60.3923,
|
865 |
+
"eval_samples_per_second": 118.856,
|
866 |
+
"eval_steps_per_second": 3.726,
|
867 |
+
"step": 1347
|
868 |
+
},
|
869 |
+
{
|
870 |
+
"epoch": 6.01,
|
871 |
+
"learning_rate": 2.20734126984127e-05,
|
872 |
+
"loss": 0.2192,
|
873 |
+
"step": 1350
|
874 |
+
},
|
875 |
+
{
|
876 |
+
"epoch": 6.06,
|
877 |
+
"learning_rate": 2.1825396825396827e-05,
|
878 |
+
"loss": 0.1988,
|
879 |
+
"step": 1360
|
880 |
+
},
|
881 |
+
{
|
882 |
+
"epoch": 6.1,
|
883 |
+
"learning_rate": 2.1577380952380955e-05,
|
884 |
+
"loss": 0.1624,
|
885 |
+
"step": 1370
|
886 |
+
},
|
887 |
+
{
|
888 |
+
"epoch": 6.15,
|
889 |
+
"learning_rate": 2.132936507936508e-05,
|
890 |
+
"loss": 0.1565,
|
891 |
+
"step": 1380
|
892 |
+
},
|
893 |
+
{
|
894 |
+
"epoch": 6.19,
|
895 |
+
"learning_rate": 2.1081349206349208e-05,
|
896 |
+
"loss": 0.1683,
|
897 |
+
"step": 1390
|
898 |
+
},
|
899 |
+
{
|
900 |
+
"epoch": 6.24,
|
901 |
+
"learning_rate": 2.0833333333333336e-05,
|
902 |
+
"loss": 0.181,
|
903 |
+
"step": 1400
|
904 |
+
},
|
905 |
+
{
|
906 |
+
"epoch": 6.28,
|
907 |
+
"learning_rate": 2.058531746031746e-05,
|
908 |
+
"loss": 0.2063,
|
909 |
+
"step": 1410
|
910 |
+
},
|
911 |
+
{
|
912 |
+
"epoch": 6.33,
|
913 |
+
"learning_rate": 2.033730158730159e-05,
|
914 |
+
"loss": 0.1847,
|
915 |
+
"step": 1420
|
916 |
+
},
|
917 |
+
{
|
918 |
+
"epoch": 6.37,
|
919 |
+
"learning_rate": 2.0089285714285717e-05,
|
920 |
+
"loss": 0.1802,
|
921 |
+
"step": 1430
|
922 |
+
},
|
923 |
+
{
|
924 |
+
"epoch": 6.41,
|
925 |
+
"learning_rate": 1.984126984126984e-05,
|
926 |
+
"loss": 0.1626,
|
927 |
+
"step": 1440
|
928 |
+
},
|
929 |
+
{
|
930 |
+
"epoch": 6.46,
|
931 |
+
"learning_rate": 1.959325396825397e-05,
|
932 |
+
"loss": 0.1446,
|
933 |
+
"step": 1450
|
934 |
+
},
|
935 |
+
{
|
936 |
+
"epoch": 6.5,
|
937 |
+
"learning_rate": 1.9345238095238097e-05,
|
938 |
+
"loss": 0.1693,
|
939 |
+
"step": 1460
|
940 |
+
},
|
941 |
+
{
|
942 |
+
"epoch": 6.55,
|
943 |
+
"learning_rate": 1.9097222222222222e-05,
|
944 |
+
"loss": 0.1996,
|
945 |
+
"step": 1470
|
946 |
+
},
|
947 |
+
{
|
948 |
+
"epoch": 6.59,
|
949 |
+
"learning_rate": 1.884920634920635e-05,
|
950 |
+
"loss": 0.1653,
|
951 |
+
"step": 1480
|
952 |
+
},
|
953 |
+
{
|
954 |
+
"epoch": 6.64,
|
955 |
+
"learning_rate": 1.8601190476190478e-05,
|
956 |
+
"loss": 0.1622,
|
957 |
+
"step": 1490
|
958 |
+
},
|
959 |
+
{
|
960 |
+
"epoch": 6.68,
|
961 |
+
"learning_rate": 1.8353174603174602e-05,
|
962 |
+
"loss": 0.1654,
|
963 |
+
"step": 1500
|
964 |
+
},
|
965 |
+
{
|
966 |
+
"epoch": 6.73,
|
967 |
+
"learning_rate": 1.810515873015873e-05,
|
968 |
+
"loss": 0.1843,
|
969 |
+
"step": 1510
|
970 |
+
},
|
971 |
+
{
|
972 |
+
"epoch": 6.77,
|
973 |
+
"learning_rate": 1.785714285714286e-05,
|
974 |
+
"loss": 0.1779,
|
975 |
+
"step": 1520
|
976 |
+
},
|
977 |
+
{
|
978 |
+
"epoch": 6.82,
|
979 |
+
"learning_rate": 1.7609126984126986e-05,
|
980 |
+
"loss": 0.1801,
|
981 |
+
"step": 1530
|
982 |
+
},
|
983 |
+
{
|
984 |
+
"epoch": 6.86,
|
985 |
+
"learning_rate": 1.736111111111111e-05,
|
986 |
+
"loss": 0.1829,
|
987 |
+
"step": 1540
|
988 |
+
},
|
989 |
+
{
|
990 |
+
"epoch": 6.9,
|
991 |
+
"learning_rate": 1.711309523809524e-05,
|
992 |
+
"loss": 0.1789,
|
993 |
+
"step": 1550
|
994 |
+
},
|
995 |
+
{
|
996 |
+
"epoch": 6.95,
|
997 |
+
"learning_rate": 1.6865079365079367e-05,
|
998 |
+
"loss": 0.1894,
|
999 |
+
"step": 1560
|
1000 |
+
},
|
1001 |
+
{
|
1002 |
+
"epoch": 6.99,
|
1003 |
+
"learning_rate": 1.6617063492063492e-05,
|
1004 |
+
"loss": 0.1575,
|
1005 |
+
"step": 1570
|
1006 |
+
},
|
1007 |
+
{
|
1008 |
+
"epoch": 7.0,
|
1009 |
+
"eval_accuracy": 0.6976873780997492,
|
1010 |
+
"eval_loss": 1.0642220973968506,
|
1011 |
+
"eval_runtime": 59.9724,
|
1012 |
+
"eval_samples_per_second": 119.688,
|
1013 |
+
"eval_steps_per_second": 3.752,
|
1014 |
+
"step": 1571
|
1015 |
+
},
|
1016 |
+
{
|
1017 |
+
"epoch": 7.04,
|
1018 |
+
"learning_rate": 1.636904761904762e-05,
|
1019 |
+
"loss": 0.1495,
|
1020 |
+
"step": 1580
|
1021 |
+
},
|
1022 |
+
{
|
1023 |
+
"epoch": 7.08,
|
1024 |
+
"learning_rate": 1.6121031746031748e-05,
|
1025 |
+
"loss": 0.1392,
|
1026 |
+
"step": 1590
|
1027 |
+
},
|
1028 |
+
{
|
1029 |
+
"epoch": 7.13,
|
1030 |
+
"learning_rate": 1.5873015873015872e-05,
|
1031 |
+
"loss": 0.1095,
|
1032 |
+
"step": 1600
|
1033 |
+
},
|
1034 |
+
{
|
1035 |
+
"epoch": 7.17,
|
1036 |
+
"learning_rate": 1.5625e-05,
|
1037 |
+
"loss": 0.1353,
|
1038 |
+
"step": 1610
|
1039 |
+
},
|
1040 |
+
{
|
1041 |
+
"epoch": 7.22,
|
1042 |
+
"learning_rate": 1.537698412698413e-05,
|
1043 |
+
"loss": 0.1332,
|
1044 |
+
"step": 1620
|
1045 |
+
},
|
1046 |
+
{
|
1047 |
+
"epoch": 7.26,
|
1048 |
+
"learning_rate": 1.5128968253968253e-05,
|
1049 |
+
"loss": 0.1227,
|
1050 |
+
"step": 1630
|
1051 |
+
},
|
1052 |
+
{
|
1053 |
+
"epoch": 7.31,
|
1054 |
+
"learning_rate": 1.4880952380952381e-05,
|
1055 |
+
"loss": 0.1459,
|
1056 |
+
"step": 1640
|
1057 |
+
},
|
1058 |
+
{
|
1059 |
+
"epoch": 7.35,
|
1060 |
+
"learning_rate": 1.4632936507936509e-05,
|
1061 |
+
"loss": 0.1221,
|
1062 |
+
"step": 1650
|
1063 |
+
},
|
1064 |
+
{
|
1065 |
+
"epoch": 7.39,
|
1066 |
+
"learning_rate": 1.4384920634920635e-05,
|
1067 |
+
"loss": 0.1167,
|
1068 |
+
"step": 1660
|
1069 |
+
},
|
1070 |
+
{
|
1071 |
+
"epoch": 7.44,
|
1072 |
+
"learning_rate": 1.4136904761904762e-05,
|
1073 |
+
"loss": 0.1597,
|
1074 |
+
"step": 1670
|
1075 |
+
},
|
1076 |
+
{
|
1077 |
+
"epoch": 7.48,
|
1078 |
+
"learning_rate": 1.388888888888889e-05,
|
1079 |
+
"loss": 0.1395,
|
1080 |
+
"step": 1680
|
1081 |
+
},
|
1082 |
+
{
|
1083 |
+
"epoch": 7.53,
|
1084 |
+
"learning_rate": 1.3640873015873016e-05,
|
1085 |
+
"loss": 0.1197,
|
1086 |
+
"step": 1690
|
1087 |
+
},
|
1088 |
+
{
|
1089 |
+
"epoch": 7.57,
|
1090 |
+
"learning_rate": 1.3392857142857144e-05,
|
1091 |
+
"loss": 0.1435,
|
1092 |
+
"step": 1700
|
1093 |
+
},
|
1094 |
+
{
|
1095 |
+
"epoch": 7.62,
|
1096 |
+
"learning_rate": 1.314484126984127e-05,
|
1097 |
+
"loss": 0.1084,
|
1098 |
+
"step": 1710
|
1099 |
+
},
|
1100 |
+
{
|
1101 |
+
"epoch": 7.66,
|
1102 |
+
"learning_rate": 1.2896825396825398e-05,
|
1103 |
+
"loss": 0.1581,
|
1104 |
+
"step": 1720
|
1105 |
+
},
|
1106 |
+
{
|
1107 |
+
"epoch": 7.71,
|
1108 |
+
"learning_rate": 1.2648809523809524e-05,
|
1109 |
+
"loss": 0.1389,
|
1110 |
+
"step": 1730
|
1111 |
+
},
|
1112 |
+
{
|
1113 |
+
"epoch": 7.75,
|
1114 |
+
"learning_rate": 1.2400793650793652e-05,
|
1115 |
+
"loss": 0.1297,
|
1116 |
+
"step": 1740
|
1117 |
+
},
|
1118 |
+
{
|
1119 |
+
"epoch": 7.8,
|
1120 |
+
"learning_rate": 1.2152777777777779e-05,
|
1121 |
+
"loss": 0.1641,
|
1122 |
+
"step": 1750
|
1123 |
+
},
|
1124 |
+
{
|
1125 |
+
"epoch": 7.84,
|
1126 |
+
"learning_rate": 1.1904761904761905e-05,
|
1127 |
+
"loss": 0.127,
|
1128 |
+
"step": 1760
|
1129 |
+
},
|
1130 |
+
{
|
1131 |
+
"epoch": 7.88,
|
1132 |
+
"learning_rate": 1.1656746031746033e-05,
|
1133 |
+
"loss": 0.1252,
|
1134 |
+
"step": 1770
|
1135 |
+
},
|
1136 |
+
{
|
1137 |
+
"epoch": 7.93,
|
1138 |
+
"learning_rate": 1.140873015873016e-05,
|
1139 |
+
"loss": 0.1661,
|
1140 |
+
"step": 1780
|
1141 |
+
},
|
1142 |
+
{
|
1143 |
+
"epoch": 7.97,
|
1144 |
+
"learning_rate": 1.1160714285714287e-05,
|
1145 |
+
"loss": 0.1169,
|
1146 |
+
"step": 1790
|
1147 |
+
},
|
1148 |
+
{
|
1149 |
+
"epoch": 8.0,
|
1150 |
+
"eval_accuracy": 0.7029813318473113,
|
1151 |
+
"eval_loss": 1.0828742980957031,
|
1152 |
+
"eval_runtime": 59.6867,
|
1153 |
+
"eval_samples_per_second": 120.261,
|
1154 |
+
"eval_steps_per_second": 3.77,
|
1155 |
+
"step": 1796
|
1156 |
+
},
|
1157 |
+
{
|
1158 |
+
"epoch": 8.02,
|
1159 |
+
"learning_rate": 1.0912698412698414e-05,
|
1160 |
+
"loss": 0.1218,
|
1161 |
+
"step": 1800
|
1162 |
+
},
|
1163 |
+
{
|
1164 |
+
"epoch": 8.06,
|
1165 |
+
"learning_rate": 1.066468253968254e-05,
|
1166 |
+
"loss": 0.1021,
|
1167 |
+
"step": 1810
|
1168 |
+
},
|
1169 |
+
{
|
1170 |
+
"epoch": 8.11,
|
1171 |
+
"learning_rate": 1.0416666666666668e-05,
|
1172 |
+
"loss": 0.1241,
|
1173 |
+
"step": 1820
|
1174 |
+
},
|
1175 |
+
{
|
1176 |
+
"epoch": 8.15,
|
1177 |
+
"learning_rate": 1.0168650793650794e-05,
|
1178 |
+
"loss": 0.1004,
|
1179 |
+
"step": 1830
|
1180 |
+
},
|
1181 |
+
{
|
1182 |
+
"epoch": 8.2,
|
1183 |
+
"learning_rate": 9.92063492063492e-06,
|
1184 |
+
"loss": 0.1279,
|
1185 |
+
"step": 1840
|
1186 |
+
},
|
1187 |
+
{
|
1188 |
+
"epoch": 8.24,
|
1189 |
+
"learning_rate": 9.672619047619049e-06,
|
1190 |
+
"loss": 0.1132,
|
1191 |
+
"step": 1850
|
1192 |
+
},
|
1193 |
+
{
|
1194 |
+
"epoch": 8.29,
|
1195 |
+
"learning_rate": 9.424603174603175e-06,
|
1196 |
+
"loss": 0.1137,
|
1197 |
+
"step": 1860
|
1198 |
+
},
|
1199 |
+
{
|
1200 |
+
"epoch": 8.33,
|
1201 |
+
"learning_rate": 9.176587301587301e-06,
|
1202 |
+
"loss": 0.0887,
|
1203 |
+
"step": 1870
|
1204 |
+
},
|
1205 |
+
{
|
1206 |
+
"epoch": 8.37,
|
1207 |
+
"learning_rate": 8.92857142857143e-06,
|
1208 |
+
"loss": 0.1115,
|
1209 |
+
"step": 1880
|
1210 |
+
},
|
1211 |
+
{
|
1212 |
+
"epoch": 8.42,
|
1213 |
+
"learning_rate": 8.680555555555556e-06,
|
1214 |
+
"loss": 0.0955,
|
1215 |
+
"step": 1890
|
1216 |
+
},
|
1217 |
+
{
|
1218 |
+
"epoch": 8.46,
|
1219 |
+
"learning_rate": 8.432539682539684e-06,
|
1220 |
+
"loss": 0.1268,
|
1221 |
+
"step": 1900
|
1222 |
+
},
|
1223 |
+
{
|
1224 |
+
"epoch": 8.51,
|
1225 |
+
"learning_rate": 8.18452380952381e-06,
|
1226 |
+
"loss": 0.1007,
|
1227 |
+
"step": 1910
|
1228 |
+
},
|
1229 |
+
{
|
1230 |
+
"epoch": 8.55,
|
1231 |
+
"learning_rate": 7.936507936507936e-06,
|
1232 |
+
"loss": 0.1025,
|
1233 |
+
"step": 1920
|
1234 |
+
},
|
1235 |
+
{
|
1236 |
+
"epoch": 8.6,
|
1237 |
+
"learning_rate": 7.688492063492064e-06,
|
1238 |
+
"loss": 0.1082,
|
1239 |
+
"step": 1930
|
1240 |
+
},
|
1241 |
+
{
|
1242 |
+
"epoch": 8.64,
|
1243 |
+
"learning_rate": 7.4404761904761905e-06,
|
1244 |
+
"loss": 0.0988,
|
1245 |
+
"step": 1940
|
1246 |
+
},
|
1247 |
+
{
|
1248 |
+
"epoch": 8.69,
|
1249 |
+
"learning_rate": 7.192460317460318e-06,
|
1250 |
+
"loss": 0.1012,
|
1251 |
+
"step": 1950
|
1252 |
+
},
|
1253 |
+
{
|
1254 |
+
"epoch": 8.73,
|
1255 |
+
"learning_rate": 6.944444444444445e-06,
|
1256 |
+
"loss": 0.1512,
|
1257 |
+
"step": 1960
|
1258 |
+
},
|
1259 |
+
{
|
1260 |
+
"epoch": 8.78,
|
1261 |
+
"learning_rate": 6.696428571428572e-06,
|
1262 |
+
"loss": 0.0984,
|
1263 |
+
"step": 1970
|
1264 |
+
},
|
1265 |
+
{
|
1266 |
+
"epoch": 8.82,
|
1267 |
+
"learning_rate": 6.448412698412699e-06,
|
1268 |
+
"loss": 0.1254,
|
1269 |
+
"step": 1980
|
1270 |
+
},
|
1271 |
+
{
|
1272 |
+
"epoch": 8.86,
|
1273 |
+
"learning_rate": 6.200396825396826e-06,
|
1274 |
+
"loss": 0.0763,
|
1275 |
+
"step": 1990
|
1276 |
+
},
|
1277 |
+
{
|
1278 |
+
"epoch": 8.91,
|
1279 |
+
"learning_rate": 5.9523809523809525e-06,
|
1280 |
+
"loss": 0.0746,
|
1281 |
+
"step": 2000
|
1282 |
+
},
|
1283 |
+
{
|
1284 |
+
"epoch": 8.95,
|
1285 |
+
"learning_rate": 5.70436507936508e-06,
|
1286 |
+
"loss": 0.0933,
|
1287 |
+
"step": 2010
|
1288 |
+
},
|
1289 |
+
{
|
1290 |
+
"epoch": 9.0,
|
1291 |
+
"learning_rate": 5.456349206349207e-06,
|
1292 |
+
"loss": 0.0917,
|
1293 |
+
"step": 2020
|
1294 |
+
},
|
1295 |
+
{
|
1296 |
+
"epoch": 9.0,
|
1297 |
+
"eval_accuracy": 0.7047924212872666,
|
1298 |
+
"eval_loss": 1.1121457815170288,
|
1299 |
+
"eval_runtime": 59.8317,
|
1300 |
+
"eval_samples_per_second": 119.97,
|
1301 |
+
"eval_steps_per_second": 3.761,
|
1302 |
+
"step": 2020
|
1303 |
+
},
|
1304 |
+
{
|
1305 |
+
"epoch": 9.04,
|
1306 |
+
"learning_rate": 5.208333333333334e-06,
|
1307 |
+
"loss": 0.078,
|
1308 |
+
"step": 2030
|
1309 |
+
},
|
1310 |
+
{
|
1311 |
+
"epoch": 9.09,
|
1312 |
+
"learning_rate": 4.96031746031746e-06,
|
1313 |
+
"loss": 0.0989,
|
1314 |
+
"step": 2040
|
1315 |
+
},
|
1316 |
+
{
|
1317 |
+
"epoch": 9.13,
|
1318 |
+
"learning_rate": 4.7123015873015875e-06,
|
1319 |
+
"loss": 0.0725,
|
1320 |
+
"step": 2050
|
1321 |
+
},
|
1322 |
+
{
|
1323 |
+
"epoch": 9.18,
|
1324 |
+
"learning_rate": 4.464285714285715e-06,
|
1325 |
+
"loss": 0.0887,
|
1326 |
+
"step": 2060
|
1327 |
+
},
|
1328 |
+
{
|
1329 |
+
"epoch": 9.22,
|
1330 |
+
"learning_rate": 4.216269841269842e-06,
|
1331 |
+
"loss": 0.0723,
|
1332 |
+
"step": 2070
|
1333 |
+
},
|
1334 |
+
{
|
1335 |
+
"epoch": 9.27,
|
1336 |
+
"learning_rate": 3.968253968253968e-06,
|
1337 |
+
"loss": 0.0656,
|
1338 |
+
"step": 2080
|
1339 |
+
},
|
1340 |
+
{
|
1341 |
+
"epoch": 9.31,
|
1342 |
+
"learning_rate": 3.7202380952380952e-06,
|
1343 |
+
"loss": 0.078,
|
1344 |
+
"step": 2090
|
1345 |
+
},
|
1346 |
+
{
|
1347 |
+
"epoch": 9.35,
|
1348 |
+
"learning_rate": 3.4722222222222224e-06,
|
1349 |
+
"loss": 0.1117,
|
1350 |
+
"step": 2100
|
1351 |
+
},
|
1352 |
+
{
|
1353 |
+
"epoch": 9.4,
|
1354 |
+
"learning_rate": 3.2242063492063495e-06,
|
1355 |
+
"loss": 0.0865,
|
1356 |
+
"step": 2110
|
1357 |
+
},
|
1358 |
+
{
|
1359 |
+
"epoch": 9.44,
|
1360 |
+
"learning_rate": 2.9761904761904763e-06,
|
1361 |
+
"loss": 0.1098,
|
1362 |
+
"step": 2120
|
1363 |
+
},
|
1364 |
+
{
|
1365 |
+
"epoch": 9.49,
|
1366 |
+
"learning_rate": 2.7281746031746034e-06,
|
1367 |
+
"loss": 0.0955,
|
1368 |
+
"step": 2130
|
1369 |
+
},
|
1370 |
+
{
|
1371 |
+
"epoch": 9.53,
|
1372 |
+
"learning_rate": 2.48015873015873e-06,
|
1373 |
+
"loss": 0.0943,
|
1374 |
+
"step": 2140
|
1375 |
+
},
|
1376 |
+
{
|
1377 |
+
"epoch": 9.58,
|
1378 |
+
"learning_rate": 2.2321428571428573e-06,
|
1379 |
+
"loss": 0.0811,
|
1380 |
+
"step": 2150
|
1381 |
+
},
|
1382 |
+
{
|
1383 |
+
"epoch": 9.62,
|
1384 |
+
"learning_rate": 1.984126984126984e-06,
|
1385 |
+
"loss": 0.0648,
|
1386 |
+
"step": 2160
|
1387 |
+
},
|
1388 |
+
{
|
1389 |
+
"epoch": 9.67,
|
1390 |
+
"learning_rate": 1.7361111111111112e-06,
|
1391 |
+
"loss": 0.1009,
|
1392 |
+
"step": 2170
|
1393 |
+
},
|
1394 |
+
{
|
1395 |
+
"epoch": 9.71,
|
1396 |
+
"learning_rate": 1.4880952380952381e-06,
|
1397 |
+
"loss": 0.082,
|
1398 |
+
"step": 2180
|
1399 |
+
},
|
1400 |
+
{
|
1401 |
+
"epoch": 9.76,
|
1402 |
+
"learning_rate": 1.240079365079365e-06,
|
1403 |
+
"loss": 0.0714,
|
1404 |
+
"step": 2190
|
1405 |
+
},
|
1406 |
+
{
|
1407 |
+
"epoch": 9.8,
|
1408 |
+
"learning_rate": 9.92063492063492e-07,
|
1409 |
+
"loss": 0.0613,
|
1410 |
+
"step": 2200
|
1411 |
+
},
|
1412 |
+
{
|
1413 |
+
"epoch": 9.84,
|
1414 |
+
"learning_rate": 7.440476190476191e-07,
|
1415 |
+
"loss": 0.106,
|
1416 |
+
"step": 2210
|
1417 |
+
},
|
1418 |
+
{
|
1419 |
+
"epoch": 9.89,
|
1420 |
+
"learning_rate": 4.96031746031746e-07,
|
1421 |
+
"loss": 0.0915,
|
1422 |
+
"step": 2220
|
1423 |
+
},
|
1424 |
+
{
|
1425 |
+
"epoch": 9.93,
|
1426 |
+
"learning_rate": 2.48015873015873e-07,
|
1427 |
+
"loss": 0.0756,
|
1428 |
+
"step": 2230
|
1429 |
+
},
|
1430 |
+
{
|
1431 |
+
"epoch": 9.98,
|
1432 |
+
"learning_rate": 0.0,
|
1433 |
+
"loss": 0.0785,
|
1434 |
+
"step": 2240
|
1435 |
+
},
|
1436 |
+
{
|
1437 |
+
"epoch": 9.98,
|
1438 |
+
"eval_accuracy": 0.7052103650041794,
|
1439 |
+
"eval_loss": 1.1279975175857544,
|
1440 |
+
"eval_runtime": 66.0405,
|
1441 |
+
"eval_samples_per_second": 108.691,
|
1442 |
+
"eval_steps_per_second": 3.407,
|
1443 |
+
"step": 2240
|
1444 |
+
},
|
1445 |
+
{
|
1446 |
+
"epoch": 9.98,
|
1447 |
+
"step": 2240,
|
1448 |
+
"total_flos": 2.2200667552042852e+19,
|
1449 |
+
"train_loss": 0.27600424638284105,
|
1450 |
+
"train_runtime": 6453.2956,
|
1451 |
+
"train_samples_per_second": 44.487,
|
1452 |
+
"train_steps_per_second": 0.347
|
1453 |
}
|
1454 |
],
|
1455 |
"logging_steps": 10,
|
1456 |
+
"max_steps": 2240,
|
1457 |
"num_input_tokens_seen": 0,
|
1458 |
+
"num_train_epochs": 10,
|
1459 |
"save_steps": 500,
|
1460 |
+
"total_flos": 2.2200667552042852e+19,
|
1461 |
"train_batch_size": 32,
|
1462 |
"trial_name": null,
|
1463 |
"trial_params": null
|