AlekseyKorshuk
commited on
Commit
•
cd21cbc
1
Parent(s):
b5b1787
huggingartists
Browse files- README.md +3 -3
- evaluation.txt +1 -1
- flax_model.msgpack +1 -1
- optimizer.pt +1 -1
- pytorch_model.bin +1 -1
- rng_state.pth +1 -1
- scheduler.pt +1 -1
- trainer_state.json +243 -811
- training_args.bin +1 -1
README.md
CHANGED
@@ -45,15 +45,15 @@ from datasets import load_dataset
|
|
45 |
dataset = load_dataset("huggingartists/eminem")
|
46 |
```
|
47 |
|
48 |
-
[Explore the data](https://wandb.ai/huggingartists/huggingartists/runs/
|
49 |
|
50 |
## Training procedure
|
51 |
|
52 |
The model is based on a pre-trained [GPT-2](https://huggingface.co/gpt2) which is fine-tuned on Eminem's lyrics.
|
53 |
|
54 |
-
Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/huggingartists/huggingartists/runs/
|
55 |
|
56 |
-
At the end of training, [the final model](https://wandb.ai/huggingartists/huggingartists/runs/
|
57 |
|
58 |
## How to use
|
59 |
|
|
|
45 |
dataset = load_dataset("huggingartists/eminem")
|
46 |
```
|
47 |
|
48 |
+
[Explore the data](https://wandb.ai/huggingartists/huggingartists/runs/2dfpd9m9/artifacts), which is tracked with [W&B artifacts](https://docs.wandb.com/artifacts) at every step of the pipeline.
|
49 |
|
50 |
## Training procedure
|
51 |
|
52 |
The model is based on a pre-trained [GPT-2](https://huggingface.co/gpt2) which is fine-tuned on Eminem's lyrics.
|
53 |
|
54 |
+
Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/huggingartists/huggingartists/runs/1ha7hnf7) for full transparency and reproducibility.
|
55 |
|
56 |
+
At the end of training, [the final model](https://wandb.ai/huggingartists/huggingartists/runs/1ha7hnf7/artifacts) is logged and versioned.
|
57 |
|
58 |
## How to use
|
59 |
|
evaluation.txt
CHANGED
@@ -1 +1 @@
|
|
1 |
-
{"eval_loss": 0.
|
|
|
1 |
+
{"eval_loss": 0.5359192490577698, "eval_runtime": 35.4381, "eval_samples_per_second": 17.552, "eval_steps_per_second": 2.201, "epoch": 3.0}
|
flax_model.msgpack
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 497764120
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:bbaf21b98cb5aea1ad09c99dc6d763e948321f28302524e9c30923c58b9d74e7
|
3 |
size 497764120
|
optimizer.pt
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 995604017
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9943dc59cf0fcd7e761e273ba268e71db959c5141055e57cbedc38fccca10ec4
|
3 |
size 995604017
|
pytorch_model.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 510403817
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:ab7c235979e3ac92a2ab8c2d10a486dc922ee80f67bddcff0270fee698da4135
|
3 |
size 510403817
|
rng_state.pth
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 14503
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:a8f71bfe6966d50d82a6401516136eeac8adbf177c6169289bc26ac6f80f3dfb
|
3 |
size 14503
|
scheduler.pt
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 623
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:52ce4a651d11e39c1a91f5cf30f4bf90993cb654bf3fce7928e4ffecb3dcd4df
|
3 |
size 623
|
trainer_state.json
CHANGED
@@ -1,1138 +1,570 @@
|
|
1 |
{
|
2 |
-
"best_metric": 0.
|
3 |
-
"best_model_checkpoint": "output/eminem/checkpoint-
|
4 |
-
"epoch":
|
5 |
-
"global_step":
|
6 |
"is_hyper_param_search": false,
|
7 |
"is_local_process_zero": true,
|
8 |
"is_world_process_zero": true,
|
9 |
"log_history": [
|
10 |
{
|
11 |
"epoch": 0.01,
|
12 |
-
"learning_rate":
|
13 |
-
"loss": 0.
|
14 |
"step": 5
|
15 |
},
|
16 |
{
|
17 |
"epoch": 0.02,
|
18 |
-
"learning_rate":
|
19 |
-
"loss": 0.
|
20 |
"step": 10
|
21 |
},
|
22 |
{
|
23 |
"epoch": 0.03,
|
24 |
-
"learning_rate":
|
25 |
-
"loss": 0.
|
26 |
"step": 15
|
27 |
},
|
28 |
{
|
29 |
"epoch": 0.04,
|
30 |
-
"learning_rate":
|
31 |
-
"loss": 0.
|
32 |
"step": 20
|
33 |
},
|
34 |
{
|
35 |
-
"epoch": 0.
|
36 |
-
"learning_rate":
|
37 |
-
"loss": 0.
|
38 |
"step": 25
|
39 |
},
|
40 |
{
|
41 |
"epoch": 0.07,
|
42 |
-
"learning_rate":
|
43 |
-
"loss": 0.
|
44 |
"step": 30
|
45 |
},
|
46 |
{
|
47 |
"epoch": 0.08,
|
48 |
-
"learning_rate":
|
49 |
-
"loss": 0.
|
50 |
"step": 35
|
51 |
},
|
52 |
{
|
53 |
"epoch": 0.09,
|
54 |
-
"learning_rate":
|
55 |
-
"loss": 0.
|
56 |
"step": 40
|
57 |
},
|
58 |
{
|
59 |
"epoch": 0.1,
|
60 |
-
"learning_rate":
|
61 |
-
"loss": 0.
|
62 |
"step": 45
|
63 |
},
|
64 |
{
|
65 |
"epoch": 0.11,
|
66 |
-
"learning_rate":
|
67 |
-
"loss": 0.
|
68 |
"step": 50
|
69 |
},
|
70 |
{
|
71 |
"epoch": 0.12,
|
72 |
-
"learning_rate":
|
73 |
-
"loss": 0.
|
74 |
"step": 55
|
75 |
},
|
76 |
{
|
77 |
"epoch": 0.13,
|
78 |
-
"learning_rate":
|
79 |
-
"loss": 0.
|
80 |
"step": 60
|
81 |
},
|
82 |
{
|
83 |
"epoch": 0.14,
|
84 |
-
"learning_rate":
|
85 |
-
"loss": 0.
|
86 |
"step": 65
|
87 |
},
|
88 |
{
|
89 |
"epoch": 0.15,
|
90 |
-
"learning_rate":
|
91 |
-
"loss": 0.
|
92 |
"step": 70
|
93 |
},
|
94 |
{
|
95 |
-
"epoch": 0.
|
96 |
-
"learning_rate":
|
97 |
-
"loss": 0.
|
98 |
"step": 75
|
99 |
},
|
100 |
{
|
101 |
"epoch": 0.18,
|
102 |
-
"learning_rate":
|
103 |
-
"loss": 0.
|
104 |
"step": 80
|
105 |
},
|
106 |
{
|
107 |
"epoch": 0.19,
|
108 |
-
"learning_rate":
|
109 |
-
"loss": 0.
|
110 |
"step": 85
|
111 |
},
|
112 |
{
|
113 |
"epoch": 0.2,
|
114 |
-
"learning_rate":
|
115 |
-
"loss": 0.
|
116 |
"step": 90
|
117 |
},
|
118 |
{
|
119 |
"epoch": 0.21,
|
120 |
-
"learning_rate":
|
121 |
-
"loss": 0.
|
122 |
"step": 95
|
123 |
},
|
124 |
{
|
125 |
"epoch": 0.22,
|
126 |
-
"learning_rate":
|
127 |
-
"loss": 0.
|
128 |
"step": 100
|
129 |
},
|
130 |
{
|
131 |
"epoch": 0.23,
|
132 |
-
"learning_rate":
|
133 |
-
"loss": 0.
|
134 |
"step": 105
|
135 |
},
|
136 |
{
|
137 |
"epoch": 0.24,
|
138 |
-
"learning_rate":
|
139 |
-
"loss": 0.
|
140 |
"step": 110
|
141 |
},
|
142 |
{
|
143 |
"epoch": 0.25,
|
144 |
-
"learning_rate":
|
145 |
-
"loss": 0.
|
146 |
"step": 115
|
147 |
},
|
148 |
{
|
149 |
-
"epoch": 0.
|
150 |
-
"learning_rate":
|
151 |
-
"loss": 0.
|
152 |
"step": 120
|
153 |
},
|
154 |
{
|
155 |
-
"epoch": 0.
|
156 |
-
"learning_rate":
|
157 |
-
"loss": 0.
|
158 |
"step": 125
|
159 |
},
|
160 |
{
|
161 |
-
"epoch": 0.
|
162 |
-
"learning_rate":
|
163 |
-
"loss": 0.
|
164 |
"step": 130
|
165 |
},
|
166 |
{
|
167 |
"epoch": 0.3,
|
168 |
-
"learning_rate":
|
169 |
-
"loss": 0.
|
170 |
"step": 135
|
171 |
},
|
172 |
{
|
173 |
"epoch": 0.31,
|
174 |
-
"learning_rate":
|
175 |
-
"loss": 0.
|
176 |
"step": 140
|
177 |
},
|
178 |
{
|
179 |
"epoch": 0.32,
|
180 |
-
"learning_rate":
|
181 |
-
"loss": 0.
|
182 |
"step": 145
|
183 |
},
|
184 |
{
|
185 |
"epoch": 0.33,
|
186 |
-
"learning_rate":
|
187 |
-
"loss": 0.
|
188 |
"step": 150
|
189 |
},
|
190 |
{
|
191 |
"epoch": 0.34,
|
192 |
-
"learning_rate":
|
193 |
-
"loss": 0.
|
194 |
"step": 155
|
195 |
},
|
196 |
{
|
197 |
"epoch": 0.35,
|
198 |
-
"learning_rate":
|
199 |
-
"loss": 0.
|
200 |
"step": 160
|
201 |
},
|
202 |
{
|
203 |
-
"epoch": 0.
|
204 |
-
"learning_rate":
|
205 |
-
"loss": 0.
|
206 |
"step": 165
|
207 |
},
|
208 |
{
|
209 |
-
"epoch": 0.
|
210 |
-
"learning_rate":
|
211 |
-
"loss": 0.
|
212 |
"step": 170
|
213 |
},
|
214 |
{
|
215 |
-
"epoch": 0.
|
216 |
-
"learning_rate":
|
217 |
-
"loss":
|
218 |
"step": 175
|
219 |
},
|
220 |
{
|
221 |
-
"epoch": 0.
|
222 |
-
"learning_rate":
|
223 |
-
"loss": 0.
|
224 |
"step": 180
|
225 |
},
|
226 |
{
|
227 |
-
"epoch": 0.
|
228 |
-
"learning_rate":
|
229 |
-
"loss": 0.
|
230 |
"step": 185
|
231 |
},
|
232 |
{
|
233 |
"epoch": 0.42,
|
234 |
-
"learning_rate":
|
235 |
-
"loss": 0.
|
236 |
"step": 190
|
237 |
},
|
238 |
{
|
239 |
"epoch": 0.43,
|
240 |
-
"learning_rate":
|
241 |
-
"loss":
|
242 |
"step": 195
|
243 |
},
|
244 |
{
|
245 |
"epoch": 0.44,
|
246 |
-
"learning_rate":
|
247 |
-
"loss": 0.
|
248 |
"step": 200
|
249 |
},
|
250 |
{
|
251 |
"epoch": 0.45,
|
252 |
-
"learning_rate":
|
253 |
-
"loss": 0.
|
254 |
"step": 205
|
255 |
},
|
256 |
{
|
257 |
"epoch": 0.46,
|
258 |
-
"learning_rate":
|
259 |
-
"loss": 0.
|
260 |
"step": 210
|
261 |
},
|
262 |
{
|
263 |
-
"epoch": 0.
|
264 |
-
"learning_rate":
|
265 |
-
"loss":
|
266 |
"step": 215
|
267 |
},
|
268 |
{
|
269 |
-
"epoch": 0.
|
270 |
-
"learning_rate": 0.
|
271 |
-
"loss": 0.
|
272 |
"step": 220
|
273 |
},
|
274 |
{
|
275 |
-
"epoch": 0.
|
276 |
-
"learning_rate": 0.
|
277 |
-
"loss": 0.
|
278 |
"step": 225
|
279 |
},
|
280 |
{
|
281 |
-
"epoch": 0.
|
282 |
-
"learning_rate": 0.
|
283 |
-
"loss": 0.
|
284 |
"step": 230
|
285 |
},
|
286 |
{
|
287 |
-
"epoch": 0.
|
288 |
-
"learning_rate": 0.
|
289 |
-
"loss": 0.
|
290 |
"step": 235
|
291 |
},
|
292 |
{
|
293 |
"epoch": 0.53,
|
294 |
-
"learning_rate": 0.
|
295 |
-
"loss":
|
296 |
"step": 240
|
297 |
},
|
298 |
{
|
299 |
"epoch": 0.54,
|
300 |
-
"learning_rate": 0.
|
301 |
-
"loss": 0.
|
302 |
"step": 245
|
303 |
},
|
304 |
{
|
305 |
"epoch": 0.55,
|
306 |
-
"learning_rate": 0.
|
307 |
-
"loss": 0.
|
308 |
"step": 250
|
309 |
},
|
310 |
{
|
311 |
"epoch": 0.56,
|
312 |
-
"learning_rate": 0.
|
313 |
-
"loss":
|
314 |
"step": 255
|
315 |
},
|
316 |
{
|
317 |
-
"epoch": 0.
|
318 |
-
"learning_rate": 0.
|
319 |
-
"loss": 0.
|
320 |
"step": 260
|
321 |
},
|
322 |
{
|
323 |
-
"epoch": 0.
|
324 |
-
"learning_rate": 0.
|
325 |
-
"loss": 0.
|
326 |
"step": 265
|
327 |
},
|
328 |
{
|
329 |
-
"epoch": 0.
|
330 |
-
"learning_rate": 0.
|
331 |
-
"loss": 0.
|
332 |
"step": 270
|
333 |
},
|
334 |
{
|
335 |
-
"epoch": 0.
|
336 |
-
"learning_rate": 0.
|
337 |
-
"loss": 0.
|
338 |
"step": 275
|
339 |
},
|
340 |
{
|
341 |
-
"epoch": 0.
|
342 |
-
"learning_rate": 0.
|
343 |
-
"loss": 0.
|
344 |
"step": 280
|
345 |
},
|
346 |
{
|
347 |
-
"epoch": 0.
|
348 |
-
"learning_rate": 0.
|
349 |
-
"loss": 0.
|
350 |
"step": 285
|
351 |
},
|
352 |
{
|
353 |
-
"epoch": 0.
|
354 |
-
"learning_rate":
|
355 |
-
"loss": 1.
|
356 |
"step": 290
|
357 |
},
|
358 |
{
|
359 |
"epoch": 0.65,
|
360 |
-
"learning_rate":
|
361 |
-
"loss": 0.
|
362 |
"step": 295
|
363 |
},
|
364 |
{
|
365 |
"epoch": 0.66,
|
366 |
-
"learning_rate":
|
367 |
-
"loss": 0.
|
368 |
"step": 300
|
369 |
},
|
370 |
{
|
371 |
"epoch": 0.67,
|
372 |
-
"learning_rate":
|
373 |
-
"loss": 0.
|
374 |
"step": 305
|
375 |
},
|
376 |
{
|
377 |
-
"epoch": 0.
|
378 |
-
"learning_rate":
|
379 |
-
"loss": 0.
|
380 |
"step": 310
|
381 |
},
|
382 |
{
|
383 |
-
"epoch": 0.
|
384 |
-
"learning_rate":
|
385 |
-
"loss":
|
386 |
"step": 315
|
387 |
},
|
388 |
{
|
389 |
-
"epoch": 0.
|
390 |
-
"learning_rate":
|
391 |
-
"loss": 0.
|
392 |
"step": 320
|
393 |
},
|
394 |
{
|
395 |
-
"epoch": 0.
|
396 |
-
"learning_rate":
|
397 |
-
"loss": 0.
|
398 |
"step": 325
|
399 |
},
|
400 |
{
|
401 |
-
"epoch": 0.
|
402 |
-
"learning_rate":
|
403 |
-
"loss":
|
404 |
"step": 330
|
405 |
},
|
406 |
{
|
407 |
-
"epoch": 0.
|
408 |
-
"learning_rate":
|
409 |
-
"loss": 0.
|
410 |
"step": 335
|
411 |
},
|
412 |
{
|
413 |
-
"epoch": 0.
|
414 |
-
"learning_rate":
|
415 |
-
"loss":
|
416 |
"step": 340
|
417 |
},
|
418 |
{
|
419 |
-
"epoch": 0.
|
420 |
-
"learning_rate":
|
421 |
-
"loss":
|
422 |
"step": 345
|
423 |
},
|
424 |
{
|
425 |
"epoch": 0.77,
|
426 |
-
"learning_rate":
|
427 |
-
"loss": 0.
|
428 |
"step": 350
|
429 |
},
|
430 |
{
|
431 |
-
"epoch": 0.
|
432 |
-
"learning_rate":
|
433 |
-
"loss":
|
434 |
"step": 355
|
435 |
},
|
436 |
{
|
437 |
-
"epoch": 0.
|
438 |
-
"learning_rate":
|
439 |
-
"loss": 0.
|
440 |
"step": 360
|
441 |
},
|
442 |
{
|
443 |
-
"epoch": 0.
|
444 |
-
"learning_rate":
|
445 |
-
"loss":
|
446 |
"step": 365
|
447 |
},
|
448 |
{
|
449 |
-
"epoch": 0.
|
450 |
-
"learning_rate":
|
451 |
-
"loss": 0.
|
452 |
"step": 370
|
453 |
},
|
454 |
{
|
455 |
-
"epoch": 0.
|
456 |
-
"learning_rate":
|
457 |
-
"loss": 0.
|
458 |
"step": 375
|
459 |
},
|
460 |
{
|
461 |
-
"epoch": 0.
|
462 |
-
"learning_rate":
|
463 |
-
"loss":
|
464 |
"step": 380
|
465 |
},
|
466 |
{
|
467 |
-
"epoch": 0.
|
468 |
-
"learning_rate":
|
469 |
-
"loss": 0.
|
470 |
"step": 385
|
471 |
},
|
472 |
{
|
473 |
-
"epoch": 0.
|
474 |
-
"learning_rate":
|
475 |
-
"loss":
|
476 |
"step": 390
|
477 |
},
|
478 |
{
|
479 |
-
"epoch": 0.
|
480 |
-
"learning_rate":
|
481 |
-
"loss": 0.
|
482 |
"step": 395
|
483 |
},
|
484 |
{
|
485 |
"epoch": 0.88,
|
486 |
-
"learning_rate":
|
487 |
-
"loss": 0.
|
488 |
"step": 400
|
489 |
},
|
490 |
{
|
491 |
-
"epoch": 0.
|
492 |
-
"learning_rate":
|
493 |
-
"loss": 0.
|
494 |
"step": 405
|
495 |
},
|
496 |
{
|
497 |
-
"epoch": 0.
|
498 |
-
"learning_rate":
|
499 |
-
"loss":
|
500 |
"step": 410
|
501 |
},
|
502 |
{
|
503 |
-
"epoch": 0.
|
504 |
-
"learning_rate":
|
505 |
-
"loss":
|
506 |
"step": 415
|
507 |
},
|
508 |
{
|
509 |
-
"epoch": 0.
|
510 |
-
"learning_rate":
|
511 |
-
"loss":
|
512 |
"step": 420
|
513 |
},
|
514 |
{
|
515 |
-
"epoch": 0.
|
516 |
-
"learning_rate":
|
517 |
-
"loss": 0.
|
518 |
"step": 425
|
519 |
},
|
520 |
{
|
521 |
-
"epoch": 0.
|
522 |
-
"learning_rate":
|
523 |
-
"loss": 0.
|
524 |
"step": 430
|
525 |
},
|
526 |
{
|
527 |
-
"epoch": 0.
|
528 |
-
"learning_rate":
|
529 |
-
"loss": 0.
|
530 |
"step": 435
|
531 |
},
|
532 |
{
|
533 |
-
"epoch": 0.
|
534 |
-
"learning_rate":
|
535 |
-
"loss": 0.
|
536 |
"step": 440
|
537 |
},
|
538 |
{
|
539 |
-
"epoch": 0.
|
540 |
-
"learning_rate":
|
541 |
-
"loss":
|
542 |
"step": 445
|
543 |
},
|
544 |
{
|
545 |
-
"epoch":
|
546 |
-
"learning_rate":
|
547 |
-
"loss":
|
548 |
"step": 450
|
549 |
},
|
550 |
{
|
551 |
"epoch": 1.0,
|
552 |
-
"
|
553 |
-
"
|
554 |
-
"eval_samples_per_second": 22.605,
|
555 |
-
"eval_steps_per_second": 2.83,
|
556 |
-
"step": 452
|
557 |
-
},
|
558 |
-
{
|
559 |
-
"epoch": 1.01,
|
560 |
-
"learning_rate": 0.0001266126877297192,
|
561 |
-
"loss": 0.9529,
|
562 |
"step": 455
|
563 |
},
|
564 |
{
|
565 |
-
"epoch": 1.
|
566 |
-
"
|
567 |
-
"
|
568 |
-
"
|
569 |
-
|
570 |
-
|
571 |
-
"epoch": 1.03,
|
572 |
-
"learning_rate": 0.0001239299303769218,
|
573 |
-
"loss": 0.813,
|
574 |
-
"step": 465
|
575 |
-
},
|
576 |
-
{
|
577 |
-
"epoch": 1.04,
|
578 |
-
"learning_rate": 0.00012248749738118413,
|
579 |
-
"loss": 0.7686,
|
580 |
-
"step": 470
|
581 |
-
},
|
582 |
-
{
|
583 |
-
"epoch": 1.05,
|
584 |
-
"learning_rate": 0.00012097999043230392,
|
585 |
-
"loss": 0.816,
|
586 |
-
"step": 475
|
587 |
-
},
|
588 |
-
{
|
589 |
-
"epoch": 1.06,
|
590 |
-
"learning_rate": 0.00011940922997920501,
|
591 |
-
"loss": 0.7366,
|
592 |
-
"step": 480
|
593 |
-
},
|
594 |
-
{
|
595 |
-
"epoch": 1.07,
|
596 |
-
"learning_rate": 0.0001177771128550507,
|
597 |
-
"loss": 0.8555,
|
598 |
-
"step": 485
|
599 |
-
},
|
600 |
-
{
|
601 |
-
"epoch": 1.08,
|
602 |
-
"learning_rate": 0.00011608560998665,
|
603 |
-
"loss": 0.8056,
|
604 |
-
"step": 490
|
605 |
-
},
|
606 |
-
{
|
607 |
-
"epoch": 1.1,
|
608 |
-
"learning_rate": 0.00011433676401438789,
|
609 |
-
"loss": 0.8315,
|
610 |
-
"step": 495
|
611 |
-
},
|
612 |
-
{
|
613 |
-
"epoch": 1.11,
|
614 |
-
"learning_rate": 0.00011253268682555513,
|
615 |
-
"loss": 0.8243,
|
616 |
-
"step": 500
|
617 |
-
},
|
618 |
-
{
|
619 |
-
"epoch": 1.12,
|
620 |
-
"learning_rate": 0.00011067555700405623,
|
621 |
-
"loss": 0.9237,
|
622 |
-
"step": 505
|
623 |
-
},
|
624 |
-
{
|
625 |
-
"epoch": 1.13,
|
626 |
-
"learning_rate": 0.00010876761719957537,
|
627 |
-
"loss": 0.7665,
|
628 |
-
"step": 510
|
629 |
-
},
|
630 |
-
{
|
631 |
-
"epoch": 1.14,
|
632 |
-
"learning_rate": 0.00010681117141937706,
|
633 |
-
"loss": 0.8168,
|
634 |
-
"step": 515
|
635 |
-
},
|
636 |
-
{
|
637 |
-
"epoch": 1.15,
|
638 |
-
"learning_rate": 0.00010480858224601222,
|
639 |
-
"loss": 0.8501,
|
640 |
-
"step": 520
|
641 |
-
},
|
642 |
-
{
|
643 |
-
"epoch": 1.16,
|
644 |
-
"learning_rate": 0.0001027622679842892,
|
645 |
-
"loss": 0.7442,
|
646 |
-
"step": 525
|
647 |
-
},
|
648 |
-
{
|
649 |
-
"epoch": 1.17,
|
650 |
-
"learning_rate": 0.00010067469974095542,
|
651 |
-
"loss": 0.9166,
|
652 |
-
"step": 530
|
653 |
-
},
|
654 |
-
{
|
655 |
-
"epoch": 1.18,
|
656 |
-
"learning_rate": 9.854839844061585e-05,
|
657 |
-
"loss": 0.8625,
|
658 |
-
"step": 535
|
659 |
-
},
|
660 |
-
{
|
661 |
-
"epoch": 1.19,
|
662 |
-
"learning_rate": 9.638593178149185e-05,
|
663 |
-
"loss": 0.9546,
|
664 |
-
"step": 540
|
665 |
-
},
|
666 |
-
{
|
667 |
-
"epoch": 1.21,
|
668 |
-
"learning_rate": 9.418991113469707e-05,
|
669 |
-
"loss": 0.943,
|
670 |
-
"step": 545
|
671 |
-
},
|
672 |
-
{
|
673 |
-
"epoch": 1.22,
|
674 |
-
"learning_rate": 9.196298839077406e-05,
|
675 |
-
"loss": 0.831,
|
676 |
-
"step": 550
|
677 |
-
},
|
678 |
-
{
|
679 |
-
"epoch": 1.23,
|
680 |
-
"learning_rate": 8.970785275730025e-05,
|
681 |
-
"loss": 0.922,
|
682 |
-
"step": 555
|
683 |
-
},
|
684 |
-
{
|
685 |
-
"epoch": 1.24,
|
686 |
-
"learning_rate": 8.742722751143034e-05,
|
687 |
-
"loss": 0.9578,
|
688 |
-
"step": 560
|
689 |
-
},
|
690 |
-
{
|
691 |
-
"epoch": 1.25,
|
692 |
-
"learning_rate": 8.512386671129642e-05,
|
693 |
-
"loss": 0.7693,
|
694 |
-
"step": 565
|
695 |
-
},
|
696 |
-
{
|
697 |
-
"epoch": 1.26,
|
698 |
-
"learning_rate": 8.280055187023758e-05,
|
699 |
-
"loss": 0.917,
|
700 |
-
"step": 570
|
701 |
-
},
|
702 |
-
{
|
703 |
-
"epoch": 1.27,
|
704 |
-
"learning_rate": 8.046008859787475e-05,
|
705 |
-
"loss": 0.9697,
|
706 |
-
"step": 575
|
707 |
-
},
|
708 |
-
{
|
709 |
-
"epoch": 1.28,
|
710 |
-
"learning_rate": 7.810530321208715e-05,
|
711 |
-
"loss": 0.9031,
|
712 |
-
"step": 580
|
713 |
-
},
|
714 |
-
{
|
715 |
-
"epoch": 1.29,
|
716 |
-
"learning_rate": 7.573903932598171e-05,
|
717 |
-
"loss": 0.9128,
|
718 |
-
"step": 585
|
719 |
-
},
|
720 |
-
{
|
721 |
-
"epoch": 1.31,
|
722 |
-
"learning_rate": 7.336415441397694e-05,
|
723 |
-
"loss": 0.8281,
|
724 |
-
"step": 590
|
725 |
-
},
|
726 |
-
{
|
727 |
-
"epoch": 1.32,
|
728 |
-
"learning_rate": 7.098351636114803e-05,
|
729 |
-
"loss": 0.8862,
|
730 |
-
"step": 595
|
731 |
-
},
|
732 |
-
{
|
733 |
-
"epoch": 1.33,
|
734 |
-
"learning_rate": 6.860000000000023e-05,
|
735 |
-
"loss": 0.7457,
|
736 |
-
"step": 600
|
737 |
-
},
|
738 |
-
{
|
739 |
-
"epoch": 1.34,
|
740 |
-
"learning_rate": 6.621648363885243e-05,
|
741 |
-
"loss": 0.8978,
|
742 |
-
"step": 605
|
743 |
-
},
|
744 |
-
{
|
745 |
-
"epoch": 1.35,
|
746 |
-
"learning_rate": 6.383584558602354e-05,
|
747 |
-
"loss": 0.844,
|
748 |
-
"step": 610
|
749 |
-
},
|
750 |
-
{
|
751 |
-
"epoch": 1.36,
|
752 |
-
"learning_rate": 6.146096067401875e-05,
|
753 |
-
"loss": 0.8293,
|
754 |
-
"step": 615
|
755 |
-
},
|
756 |
-
{
|
757 |
-
"epoch": 1.37,
|
758 |
-
"learning_rate": 5.9094696787913304e-05,
|
759 |
-
"loss": 0.6208,
|
760 |
-
"step": 620
|
761 |
-
},
|
762 |
-
{
|
763 |
-
"epoch": 1.38,
|
764 |
-
"learning_rate": 5.6739911402125706e-05,
|
765 |
-
"loss": 0.8256,
|
766 |
-
"step": 625
|
767 |
-
},
|
768 |
-
{
|
769 |
-
"epoch": 1.39,
|
770 |
-
"learning_rate": 5.439944812976288e-05,
|
771 |
-
"loss": 0.8516,
|
772 |
-
"step": 630
|
773 |
-
},
|
774 |
-
{
|
775 |
-
"epoch": 1.4,
|
776 |
-
"learning_rate": 5.207613328870404e-05,
|
777 |
-
"loss": 0.75,
|
778 |
-
"step": 635
|
779 |
-
},
|
780 |
-
{
|
781 |
-
"epoch": 1.42,
|
782 |
-
"learning_rate": 4.977277248857012e-05,
|
783 |
-
"loss": 0.8606,
|
784 |
-
"step": 640
|
785 |
-
},
|
786 |
-
{
|
787 |
-
"epoch": 1.43,
|
788 |
-
"learning_rate": 4.749214724270019e-05,
|
789 |
-
"loss": 0.7975,
|
790 |
-
"step": 645
|
791 |
-
},
|
792 |
-
{
|
793 |
-
"epoch": 1.44,
|
794 |
-
"learning_rate": 4.5237011609228214e-05,
|
795 |
-
"loss": 0.8932,
|
796 |
-
"step": 650
|
797 |
-
},
|
798 |
-
{
|
799 |
-
"epoch": 1.45,
|
800 |
-
"learning_rate": 4.301008886530336e-05,
|
801 |
-
"loss": 0.8424,
|
802 |
-
"step": 655
|
803 |
-
},
|
804 |
-
{
|
805 |
-
"epoch": 1.46,
|
806 |
-
"learning_rate": 4.081406821850858e-05,
|
807 |
-
"loss": 0.8577,
|
808 |
-
"step": 660
|
809 |
-
},
|
810 |
-
{
|
811 |
-
"epoch": 1.47,
|
812 |
-
"learning_rate": 3.865160155938634e-05,
|
813 |
-
"loss": 0.7893,
|
814 |
-
"step": 665
|
815 |
-
},
|
816 |
-
{
|
817 |
-
"epoch": 1.48,
|
818 |
-
"learning_rate": 3.6525300259044984e-05,
|
819 |
-
"loss": 0.7793,
|
820 |
-
"step": 670
|
821 |
-
},
|
822 |
-
{
|
823 |
-
"epoch": 1.49,
|
824 |
-
"learning_rate": 3.443773201571122e-05,
|
825 |
-
"loss": 0.8193,
|
826 |
-
"step": 675
|
827 |
-
},
|
828 |
-
{
|
829 |
-
"epoch": 1.5,
|
830 |
-
"learning_rate": 3.239141775398985e-05,
|
831 |
-
"loss": 0.8577,
|
832 |
-
"step": 680
|
833 |
-
},
|
834 |
-
{
|
835 |
-
"epoch": 1.52,
|
836 |
-
"learning_rate": 3.0388828580623328e-05,
|
837 |
-
"loss": 0.9107,
|
838 |
-
"step": 685
|
839 |
-
},
|
840 |
-
{
|
841 |
-
"epoch": 1.53,
|
842 |
-
"learning_rate": 2.8432382800425017e-05,
|
843 |
-
"loss": 0.8879,
|
844 |
-
"step": 690
|
845 |
-
},
|
846 |
-
{
|
847 |
-
"epoch": 1.54,
|
848 |
-
"learning_rate": 2.6524442995945684e-05,
|
849 |
-
"loss": 0.8339,
|
850 |
-
"step": 695
|
851 |
-
},
|
852 |
-
{
|
853 |
-
"epoch": 1.55,
|
854 |
-
"learning_rate": 2.466731317444525e-05,
|
855 |
-
"loss": 0.8466,
|
856 |
-
"step": 700
|
857 |
-
},
|
858 |
-
{
|
859 |
-
"epoch": 1.56,
|
860 |
-
"learning_rate": 2.2863235985612475e-05,
|
861 |
-
"loss": 0.7456,
|
862 |
-
"step": 705
|
863 |
-
},
|
864 |
-
{
|
865 |
-
"epoch": 1.57,
|
866 |
-
"learning_rate": 2.111439001335175e-05,
|
867 |
-
"loss": 0.7,
|
868 |
-
"step": 710
|
869 |
-
},
|
870 |
-
{
|
871 |
-
"epoch": 1.58,
|
872 |
-
"learning_rate": 1.942288714494962e-05,
|
873 |
-
"loss": 0.7208,
|
874 |
-
"step": 715
|
875 |
-
},
|
876 |
-
{
|
877 |
-
"epoch": 1.59,
|
878 |
-
"learning_rate": 1.77907700207953e-05,
|
879 |
-
"loss": 0.8998,
|
880 |
-
"step": 720
|
881 |
-
},
|
882 |
-
{
|
883 |
-
"epoch": 1.6,
|
884 |
-
"learning_rate": 1.6220009567697634e-05,
|
885 |
-
"loss": 0.8058,
|
886 |
-
"step": 725
|
887 |
-
},
|
888 |
-
{
|
889 |
-
"epoch": 1.62,
|
890 |
-
"learning_rate": 1.471250261881617e-05,
|
891 |
-
"loss": 0.8065,
|
892 |
-
"step": 730
|
893 |
-
},
|
894 |
-
{
|
895 |
-
"epoch": 1.63,
|
896 |
-
"learning_rate": 1.3270069623078497e-05,
|
897 |
-
"loss": 0.7645,
|
898 |
-
"step": 735
|
899 |
-
},
|
900 |
-
{
|
901 |
-
"epoch": 1.64,
|
902 |
-
"learning_rate": 1.1894452446808717e-05,
|
903 |
-
"loss": 0.8453,
|
904 |
-
"step": 740
|
905 |
-
},
|
906 |
-
{
|
907 |
-
"epoch": 1.65,
|
908 |
-
"learning_rate": 1.0587312270281075e-05,
|
909 |
-
"loss": 0.8016,
|
910 |
-
"step": 745
|
911 |
-
},
|
912 |
-
{
|
913 |
-
"epoch": 1.66,
|
914 |
-
"learning_rate": 9.350227581695975e-06,
|
915 |
-
"loss": 0.8662,
|
916 |
-
"step": 750
|
917 |
-
},
|
918 |
-
{
|
919 |
-
"epoch": 1.67,
|
920 |
-
"learning_rate": 8.184692271005631e-06,
|
921 |
-
"loss": 0.7792,
|
922 |
-
"step": 755
|
923 |
-
},
|
924 |
-
{
|
925 |
-
"epoch": 1.68,
|
926 |
-
"learning_rate": 7.0921138259184885e-06,
|
927 |
-
"loss": 0.8576,
|
928 |
-
"step": 760
|
929 |
-
},
|
930 |
-
{
|
931 |
-
"epoch": 1.69,
|
932 |
-
"learning_rate": 6.0738116322314975e-06,
|
933 |
-
"loss": 0.8999,
|
934 |
-
"step": 765
|
935 |
-
},
|
936 |
-
{
|
937 |
-
"epoch": 1.7,
|
938 |
-
"learning_rate": 5.131015380545945e-06,
|
939 |
-
"loss": 0.7444,
|
940 |
-
"step": 770
|
941 |
-
},
|
942 |
-
{
|
943 |
-
"epoch": 1.71,
|
944 |
-
"learning_rate": 4.264863581318154e-06,
|
945 |
-
"loss": 0.8574,
|
946 |
-
"step": 775
|
947 |
-
},
|
948 |
-
{
|
949 |
-
"epoch": 1.73,
|
950 |
-
"learning_rate": 3.4764021899983686e-06,
|
951 |
-
"loss": 0.8041,
|
952 |
-
"step": 780
|
953 |
-
},
|
954 |
-
{
|
955 |
-
"epoch": 1.74,
|
956 |
-
"learning_rate": 2.76658334394734e-06,
|
957 |
-
"loss": 0.9527,
|
958 |
-
"step": 785
|
959 |
-
},
|
960 |
-
{
|
961 |
-
"epoch": 1.75,
|
962 |
-
"learning_rate": 2.1362642126509516e-06,
|
963 |
-
"loss": 0.8828,
|
964 |
-
"step": 790
|
965 |
-
},
|
966 |
-
{
|
967 |
-
"epoch": 1.76,
|
968 |
-
"learning_rate": 1.5862059626060031e-06,
|
969 |
-
"loss": 0.8653,
|
970 |
-
"step": 795
|
971 |
-
},
|
972 |
-
{
|
973 |
-
"epoch": 1.77,
|
974 |
-
"learning_rate": 1.1170728381448706e-06,
|
975 |
-
"loss": 0.7422,
|
976 |
-
"step": 800
|
977 |
-
},
|
978 |
-
{
|
979 |
-
"epoch": 1.78,
|
980 |
-
"learning_rate": 7.294313593051277e-07,
|
981 |
-
"loss": 0.8688,
|
982 |
-
"step": 805
|
983 |
-
},
|
984 |
-
{
|
985 |
-
"epoch": 1.79,
|
986 |
-
"learning_rate": 4.2374963770076367e-07,
|
987 |
-
"loss": 0.8754,
|
988 |
-
"step": 810
|
989 |
-
},
|
990 |
-
{
|
991 |
-
"epoch": 1.8,
|
992 |
-
"learning_rate": 2.0039681123955346e-07,
|
993 |
-
"loss": 0.8108,
|
994 |
-
"step": 815
|
995 |
-
},
|
996 |
-
{
|
997 |
-
"epoch": 1.81,
|
998 |
-
"learning_rate": 5.964259835515342e-08,
|
999 |
-
"loss": 0.7736,
|
1000 |
-
"step": 820
|
1001 |
-
},
|
1002 |
-
{
|
1003 |
-
"epoch": 1.83,
|
1004 |
-
"learning_rate": 1.6569722969213219e-09,
|
1005 |
-
"loss": 0.919,
|
1006 |
-
"step": 825
|
1007 |
-
},
|
1008 |
-
{
|
1009 |
-
"epoch": 1.84,
|
1010 |
-
"learning_rate": 2.6509955873622614e-08,
|
1011 |
-
"loss": 0.9207,
|
1012 |
-
"step": 830
|
1013 |
-
},
|
1014 |
-
{
|
1015 |
-
"epoch": 1.85,
|
1016 |
-
"learning_rate": 1.34171536893634e-07,
|
1017 |
-
"loss": 0.7721,
|
1018 |
-
"step": 835
|
1019 |
-
},
|
1020 |
-
{
|
1021 |
-
"epoch": 1.86,
|
1022 |
-
"learning_rate": 3.245117044080267e-07,
|
1023 |
-
"loss": 0.9383,
|
1024 |
-
"step": 840
|
1025 |
-
},
|
1026 |
-
{
|
1027 |
-
"epoch": 1.87,
|
1028 |
-
"learning_rate": 5.973006057101013e-07,
|
1029 |
-
"loss": 0.8004,
|
1030 |
-
"step": 845
|
1031 |
-
},
|
1032 |
-
{
|
1033 |
-
"epoch": 1.88,
|
1034 |
-
"learning_rate": 9.522088239019613e-07,
|
1035 |
-
"loss": 0.8358,
|
1036 |
-
"step": 850
|
1037 |
-
},
|
1038 |
-
{
|
1039 |
-
"epoch": 1.89,
|
1040 |
-
"learning_rate": 1.388807775697303e-06,
|
1041 |
-
"loss": 0.7995,
|
1042 |
-
"step": 855
|
1043 |
-
},
|
1044 |
-
{
|
1045 |
-
"epoch": 1.9,
|
1046 |
-
"learning_rate": 1.9065702289717794e-06,
|
1047 |
-
"loss": 0.8778,
|
1048 |
-
"step": 860
|
1049 |
-
},
|
1050 |
-
{
|
1051 |
-
"epoch": 1.91,
|
1052 |
-
"learning_rate": 2.504870939441761e-06,
|
1053 |
-
"loss": 0.7698,
|
1054 |
-
"step": 865
|
1055 |
-
},
|
1056 |
-
{
|
1057 |
-
"epoch": 1.92,
|
1058 |
-
"learning_rate": 3.1829874057068102e-06,
|
1059 |
-
"loss": 0.7713,
|
1060 |
-
"step": 870
|
1061 |
-
},
|
1062 |
-
{
|
1063 |
-
"epoch": 1.94,
|
1064 |
-
"learning_rate": 3.940100741730584e-06,
|
1065 |
-
"loss": 0.7167,
|
1066 |
-
"step": 875
|
1067 |
-
},
|
1068 |
-
{
|
1069 |
-
"epoch": 1.95,
|
1070 |
-
"learning_rate": 4.775296665717651e-06,
|
1071 |
-
"loss": 0.7112,
|
1072 |
-
"step": 880
|
1073 |
-
},
|
1074 |
-
{
|
1075 |
-
"epoch": 1.96,
|
1076 |
-
"learning_rate": 5.687566604196296e-06,
|
1077 |
-
"loss": 0.7375,
|
1078 |
-
"step": 885
|
1079 |
-
},
|
1080 |
-
{
|
1081 |
-
"epoch": 1.97,
|
1082 |
-
"learning_rate": 6.675808909954285e-06,
|
1083 |
-
"loss": 0.7607,
|
1084 |
-
"step": 890
|
1085 |
-
},
|
1086 |
-
{
|
1087 |
-
"epoch": 1.98,
|
1088 |
-
"learning_rate": 7.738830192379277e-06,
|
1089 |
-
"loss": 0.7172,
|
1090 |
-
"step": 895
|
1091 |
-
},
|
1092 |
-
{
|
1093 |
-
"epoch": 1.99,
|
1094 |
-
"learning_rate": 8.875346758583638e-06,
|
1095 |
-
"loss": 0.8977,
|
1096 |
-
"step": 900
|
1097 |
-
},
|
1098 |
-
{
|
1099 |
-
"epoch": 2.0,
|
1100 |
-
"eval_loss": 0.6314056515693665,
|
1101 |
-
"eval_runtime": 29.5306,
|
1102 |
-
"eval_samples_per_second": 22.451,
|
1103 |
-
"eval_steps_per_second": 2.811,
|
1104 |
-
"step": 904
|
1105 |
-
},
|
1106 |
-
{
|
1107 |
-
"epoch": 1.98,
|
1108 |
-
"learning_rate": 4.5530896428035615e-05,
|
1109 |
-
"loss": 0.6893,
|
1110 |
-
"step": 905
|
1111 |
-
},
|
1112 |
-
{
|
1113 |
-
"epoch": 1.99,
|
1114 |
-
"learning_rate": 4.3329156273475095e-05,
|
1115 |
-
"loss": 0.9131,
|
1116 |
-
"step": 910
|
1117 |
-
},
|
1118 |
-
{
|
1119 |
-
"epoch": 2.0,
|
1120 |
-
"learning_rate": 4.115713866225047e-05,
|
1121 |
-
"loss": 0.8774,
|
1122 |
-
"step": 915
|
1123 |
-
},
|
1124 |
-
{
|
1125 |
-
"epoch": 2.0,
|
1126 |
-
"eval_loss": 0.4552081823348999,
|
1127 |
-
"eval_runtime": 27.3413,
|
1128 |
-
"eval_samples_per_second": 22.64,
|
1129 |
-
"eval_steps_per_second": 2.853,
|
1130 |
-
"step": 916
|
1131 |
}
|
1132 |
],
|
1133 |
-
"max_steps":
|
1134 |
"num_train_epochs": 3,
|
1135 |
-
"total_flos":
|
1136 |
"trial_name": null,
|
1137 |
"trial_params": null
|
1138 |
}
|
|
|
1 |
{
|
2 |
+
"best_metric": 0.5359192490577698,
|
3 |
+
"best_model_checkpoint": "output/eminem/checkpoint-457",
|
4 |
+
"epoch": 1.0,
|
5 |
+
"global_step": 457,
|
6 |
"is_hyper_param_search": false,
|
7 |
"is_local_process_zero": true,
|
8 |
"is_world_process_zero": true,
|
9 |
"log_history": [
|
10 |
{
|
11 |
"epoch": 0.01,
|
12 |
+
"learning_rate": 0.0001144556130966329,
|
13 |
+
"loss": 0.7526,
|
14 |
"step": 5
|
15 |
},
|
16 |
{
|
17 |
"epoch": 0.02,
|
18 |
+
"learning_rate": 0.00011618189922507932,
|
19 |
+
"loss": 0.7708,
|
20 |
"step": 10
|
21 |
},
|
22 |
{
|
23 |
"epoch": 0.03,
|
24 |
+
"learning_rate": 0.00011785197628750708,
|
25 |
+
"loss": 0.869,
|
26 |
"step": 15
|
27 |
},
|
28 |
{
|
29 |
"epoch": 0.04,
|
30 |
+
"learning_rate": 0.00011946387140192834,
|
31 |
+
"loss": 0.8428,
|
32 |
"step": 20
|
33 |
},
|
34 |
{
|
35 |
+
"epoch": 0.05,
|
36 |
+
"learning_rate": 0.00012101568041738691,
|
37 |
+
"loss": 0.7731,
|
38 |
"step": 25
|
39 |
},
|
40 |
{
|
41 |
"epoch": 0.07,
|
42 |
+
"learning_rate": 0.00012250557016335326,
|
43 |
+
"loss": 0.8297,
|
44 |
"step": 30
|
45 |
},
|
46 |
{
|
47 |
"epoch": 0.08,
|
48 |
+
"learning_rate": 0.00012393178061527061,
|
49 |
+
"loss": 0.8621,
|
50 |
"step": 35
|
51 |
},
|
52 |
{
|
53 |
"epoch": 0.09,
|
54 |
+
"learning_rate": 0.00012529262697369198,
|
55 |
+
"loss": 0.7284,
|
56 |
"step": 40
|
57 |
},
|
58 |
{
|
59 |
"epoch": 0.1,
|
60 |
+
"learning_rate": 0.00012658650165455924,
|
61 |
+
"loss": 0.7879,
|
62 |
"step": 45
|
63 |
},
|
64 |
{
|
65 |
"epoch": 0.11,
|
66 |
+
"learning_rate": 0.00012781187618824956,
|
67 |
+
"loss": 0.9203,
|
68 |
"step": 50
|
69 |
},
|
70 |
{
|
71 |
"epoch": 0.12,
|
72 |
+
"learning_rate": 0.00012896730302519073,
|
73 |
+
"loss": 0.8996,
|
74 |
"step": 55
|
75 |
},
|
76 |
{
|
77 |
"epoch": 0.13,
|
78 |
+
"learning_rate": 0.0001300514172458524,
|
79 |
+
"loss": 0.949,
|
80 |
"step": 60
|
81 |
},
|
82 |
{
|
83 |
"epoch": 0.14,
|
84 |
+
"learning_rate": 0.0001310629381731565,
|
85 |
+
"loss": 0.8166,
|
86 |
"step": 65
|
87 |
},
|
88 |
{
|
89 |
"epoch": 0.15,
|
90 |
+
"learning_rate": 0.0001320006708853459,
|
91 |
+
"loss": 0.8125,
|
92 |
"step": 70
|
93 |
},
|
94 |
{
|
95 |
+
"epoch": 0.16,
|
96 |
+
"learning_rate": 0.00013286350762756457,
|
97 |
+
"loss": 0.8287,
|
98 |
"step": 75
|
99 |
},
|
100 |
{
|
101 |
"epoch": 0.18,
|
102 |
+
"learning_rate": 0.0001336504291204605,
|
103 |
+
"loss": 0.8779,
|
104 |
"step": 80
|
105 |
},
|
106 |
{
|
107 |
"epoch": 0.19,
|
108 |
+
"learning_rate": 0.00013436050576427267,
|
109 |
+
"loss": 0.8684,
|
110 |
"step": 85
|
111 |
},
|
112 |
{
|
113 |
"epoch": 0.2,
|
114 |
+
"learning_rate": 0.00013499289873697794,
|
115 |
+
"loss": 0.8235,
|
116 |
"step": 90
|
117 |
},
|
118 |
{
|
119 |
"epoch": 0.21,
|
120 |
+
"learning_rate": 0.00013554686098520387,
|
121 |
+
"loss": 0.9249,
|
122 |
"step": 95
|
123 |
},
|
124 |
{
|
125 |
"epoch": 0.22,
|
126 |
+
"learning_rate": 0.00013602173810672657,
|
127 |
+
"loss": 0.8379,
|
128 |
"step": 100
|
129 |
},
|
130 |
{
|
131 |
"epoch": 0.23,
|
132 |
+
"learning_rate": 0.0001364169691235302,
|
133 |
+
"loss": 0.9086,
|
134 |
"step": 105
|
135 |
},
|
136 |
{
|
137 |
"epoch": 0.24,
|
138 |
+
"learning_rate": 0.0001367320871444924,
|
139 |
+
"loss": 0.8637,
|
140 |
"step": 110
|
141 |
},
|
142 |
{
|
143 |
"epoch": 0.25,
|
144 |
+
"learning_rate": 0.0001369667199169302,
|
145 |
+
"loss": 0.8941,
|
146 |
"step": 115
|
147 |
},
|
148 |
{
|
149 |
+
"epoch": 0.26,
|
150 |
+
"learning_rate": 0.00013712059026634634,
|
151 |
+
"loss": 0.8238,
|
152 |
"step": 120
|
153 |
},
|
154 |
{
|
155 |
+
"epoch": 0.27,
|
156 |
+
"learning_rate": 0.00013719351642385878,
|
157 |
+
"loss": 0.8578,
|
158 |
"step": 125
|
159 |
},
|
160 |
{
|
161 |
+
"epoch": 0.28,
|
162 |
+
"learning_rate": 0.0001371854122409264,
|
163 |
+
"loss": 0.8231,
|
164 |
"step": 130
|
165 |
},
|
166 |
{
|
167 |
"epoch": 0.3,
|
168 |
+
"learning_rate": 0.0001370962872911174,
|
169 |
+
"loss": 0.815,
|
170 |
"step": 135
|
171 |
},
|
172 |
{
|
173 |
"epoch": 0.31,
|
174 |
+
"learning_rate": 0.00013692624685879965,
|
175 |
+
"loss": 0.726,
|
176 |
"step": 140
|
177 |
},
|
178 |
{
|
179 |
"epoch": 0.32,
|
180 |
+
"learning_rate": 0.00013667549181476735,
|
181 |
+
"loss": 0.8906,
|
182 |
"step": 145
|
183 |
},
|
184 |
{
|
185 |
"epoch": 0.33,
|
186 |
+
"learning_rate": 0.00013634431837894983,
|
187 |
+
"loss": 0.7687,
|
188 |
"step": 150
|
189 |
},
|
190 |
{
|
191 |
"epoch": 0.34,
|
192 |
+
"learning_rate": 0.0001359331177704834,
|
193 |
+
"loss": 0.8484,
|
194 |
"step": 155
|
195 |
},
|
196 |
{
|
197 |
"epoch": 0.35,
|
198 |
+
"learning_rate": 0.00013544237574555944,
|
199 |
+
"loss": 0.9342,
|
200 |
"step": 160
|
201 |
},
|
202 |
{
|
203 |
+
"epoch": 0.36,
|
204 |
+
"learning_rate": 0.00013487267202359548,
|
205 |
+
"loss": 0.887,
|
206 |
"step": 165
|
207 |
},
|
208 |
{
|
209 |
+
"epoch": 0.37,
|
210 |
+
"learning_rate": 0.00013422467960240306,
|
211 |
+
"loss": 0.9549,
|
212 |
"step": 170
|
213 |
},
|
214 |
{
|
215 |
+
"epoch": 0.38,
|
216 |
+
"learning_rate": 0.00013349916396317312,
|
217 |
+
"loss": 1.0232,
|
218 |
"step": 175
|
219 |
},
|
220 |
{
|
221 |
+
"epoch": 0.39,
|
222 |
+
"learning_rate": 0.00013269698216619567,
|
223 |
+
"loss": 0.856,
|
224 |
"step": 180
|
225 |
},
|
226 |
{
|
227 |
+
"epoch": 0.4,
|
228 |
+
"learning_rate": 0.00013181908183841387,
|
229 |
+
"loss": 0.8467,
|
230 |
"step": 185
|
231 |
},
|
232 |
{
|
233 |
"epoch": 0.42,
|
234 |
+
"learning_rate": 0.0001308665000539712,
|
235 |
+
"loss": 0.8928,
|
236 |
"step": 190
|
237 |
},
|
238 |
{
|
239 |
"epoch": 0.43,
|
240 |
+
"learning_rate": 0.00012984036210911092,
|
241 |
+
"loss": 0.9901,
|
242 |
"step": 195
|
243 |
},
|
244 |
{
|
245 |
"epoch": 0.44,
|
246 |
+
"learning_rate": 0.00012874188019284667,
|
247 |
+
"loss": 0.79,
|
248 |
"step": 200
|
249 |
},
|
250 |
{
|
251 |
"epoch": 0.45,
|
252 |
+
"learning_rate": 0.0001275723519549898,
|
253 |
+
"loss": 0.8893,
|
254 |
"step": 205
|
255 |
},
|
256 |
{
|
257 |
"epoch": 0.46,
|
258 |
+
"learning_rate": 0.00012633315897322012,
|
259 |
+
"loss": 0.9893,
|
260 |
"step": 210
|
261 |
},
|
262 |
{
|
263 |
+
"epoch": 0.47,
|
264 |
+
"learning_rate": 0.0001250257651210129,
|
265 |
+
"loss": 0.8199,
|
266 |
"step": 215
|
267 |
},
|
268 |
{
|
269 |
+
"epoch": 0.48,
|
270 |
+
"learning_rate": 0.00012365171483834196,
|
271 |
+
"loss": 0.8304,
|
272 |
"step": 220
|
273 |
},
|
274 |
{
|
275 |
+
"epoch": 0.49,
|
276 |
+
"learning_rate": 0.00012221263130722672,
|
277 |
+
"loss": 0.924,
|
278 |
"step": 225
|
279 |
},
|
280 |
{
|
281 |
+
"epoch": 0.5,
|
282 |
+
"learning_rate": 0.00012071021453423055,
|
283 |
+
"loss": 0.8617,
|
284 |
"step": 230
|
285 |
},
|
286 |
{
|
287 |
+
"epoch": 0.51,
|
288 |
+
"learning_rate": 0.00011914623934224188,
|
289 |
+
"loss": 0.8712,
|
290 |
"step": 235
|
291 |
},
|
292 |
{
|
293 |
"epoch": 0.53,
|
294 |
+
"learning_rate": 0.00011752255327383619,
|
295 |
+
"loss": 1.0037,
|
296 |
"step": 240
|
297 |
},
|
298 |
{
|
299 |
"epoch": 0.54,
|
300 |
+
"learning_rate": 0.00011584107440876567,
|
301 |
+
"loss": 0.8259,
|
302 |
"step": 245
|
303 |
},
|
304 |
{
|
305 |
"epoch": 0.55,
|
306 |
+
"learning_rate": 0.0001141037890981024,
|
307 |
+
"loss": 0.8382,
|
308 |
"step": 250
|
309 |
},
|
310 |
{
|
311 |
"epoch": 0.56,
|
312 |
+
"learning_rate": 0.00011231274961773941,
|
313 |
+
"loss": 1.0107,
|
314 |
"step": 255
|
315 |
},
|
316 |
{
|
317 |
+
"epoch": 0.57,
|
318 |
+
"learning_rate": 0.00011047007174401259,
|
319 |
+
"loss": 0.9122,
|
320 |
"step": 260
|
321 |
},
|
322 |
{
|
323 |
+
"epoch": 0.58,
|
324 |
+
"learning_rate": 0.00010857793225431036,
|
325 |
+
"loss": 0.9962,
|
326 |
"step": 265
|
327 |
},
|
328 |
{
|
329 |
+
"epoch": 0.59,
|
330 |
+
"learning_rate": 0.00010663856635561276,
|
331 |
+
"loss": 0.7623,
|
332 |
"step": 270
|
333 |
},
|
334 |
{
|
335 |
+
"epoch": 0.6,
|
336 |
+
"learning_rate": 0.0001046542650440321,
|
337 |
+
"loss": 0.9404,
|
338 |
"step": 275
|
339 |
},
|
340 |
{
|
341 |
+
"epoch": 0.61,
|
342 |
+
"learning_rate": 0.00010262737239840785,
|
343 |
+
"loss": 0.9339,
|
344 |
"step": 280
|
345 |
},
|
346 |
{
|
347 |
+
"epoch": 0.62,
|
348 |
+
"learning_rate": 0.00010056028281124445,
|
349 |
+
"loss": 0.9049,
|
350 |
"step": 285
|
351 |
},
|
352 |
{
|
353 |
+
"epoch": 0.63,
|
354 |
+
"learning_rate": 9.845543816016187e-05,
|
355 |
+
"loss": 1.0607,
|
356 |
"step": 290
|
357 |
},
|
358 |
{
|
359 |
"epoch": 0.65,
|
360 |
+
"learning_rate": 9.63153249232949e-05,
|
361 |
+
"loss": 0.8714,
|
362 |
"step": 295
|
363 |
},
|
364 |
{
|
365 |
"epoch": 0.66,
|
366 |
+
"learning_rate": 9.414247124197839e-05,
|
367 |
+
"loss": 0.9058,
|
368 |
"step": 300
|
369 |
},
|
370 |
{
|
371 |
"epoch": 0.67,
|
372 |
+
"learning_rate": 9.19394439342254e-05,
|
373 |
+
"loss": 0.9844,
|
374 |
"step": 305
|
375 |
},
|
376 |
{
|
377 |
+
"epoch": 0.68,
|
378 |
+
"learning_rate": 8.970884546251429e-05,
|
379 |
+
"loss": 0.8605,
|
380 |
"step": 310
|
381 |
},
|
382 |
{
|
383 |
+
"epoch": 0.69,
|
384 |
+
"learning_rate": 8.74533108594708e-05,
|
385 |
+
"loss": 1.0247,
|
386 |
"step": 315
|
387 |
},
|
388 |
{
|
389 |
+
"epoch": 0.7,
|
390 |
+
"learning_rate": 8.517550461506486e-05,
|
391 |
+
"loss": 0.8763,
|
392 |
"step": 320
|
393 |
},
|
394 |
{
|
395 |
+
"epoch": 0.71,
|
396 |
+
"learning_rate": 8.287811752902797e-05,
|
397 |
+
"loss": 0.9301,
|
398 |
"step": 325
|
399 |
},
|
400 |
{
|
401 |
+
"epoch": 0.72,
|
402 |
+
"learning_rate": 8.056386353217202e-05,
|
403 |
+
"loss": 0.8877,
|
404 |
"step": 330
|
405 |
},
|
406 |
{
|
407 |
+
"epoch": 0.73,
|
408 |
+
"learning_rate": 7.823547648039207e-05,
|
409 |
+
"loss": 0.7894,
|
410 |
"step": 335
|
411 |
},
|
412 |
{
|
413 |
+
"epoch": 0.74,
|
414 |
+
"learning_rate": 7.589570692512989e-05,
|
415 |
+
"loss": 1.0017,
|
416 |
"step": 340
|
417 |
},
|
418 |
{
|
419 |
+
"epoch": 0.75,
|
420 |
+
"learning_rate": 7.354731886411453e-05,
|
421 |
+
"loss": 0.9258,
|
422 |
"step": 345
|
423 |
},
|
424 |
{
|
425 |
"epoch": 0.77,
|
426 |
+
"learning_rate": 7.119308647622086e-05,
|
427 |
+
"loss": 0.8299,
|
428 |
"step": 350
|
429 |
},
|
430 |
{
|
431 |
+
"epoch": 0.78,
|
432 |
+
"learning_rate": 6.883579084428906e-05,
|
433 |
+
"loss": 0.936,
|
434 |
"step": 355
|
435 |
},
|
436 |
{
|
437 |
+
"epoch": 0.79,
|
438 |
+
"learning_rate": 6.64782166698198e-05,
|
439 |
+
"loss": 0.8412,
|
440 |
"step": 360
|
441 |
},
|
442 |
{
|
443 |
+
"epoch": 0.8,
|
444 |
+
"learning_rate": 6.412314898334569e-05,
|
445 |
+
"loss": 0.9055,
|
446 |
"step": 365
|
447 |
},
|
448 |
{
|
449 |
+
"epoch": 0.81,
|
450 |
+
"learning_rate": 6.17733698544629e-05,
|
451 |
+
"loss": 0.8395,
|
452 |
"step": 370
|
453 |
},
|
454 |
{
|
455 |
+
"epoch": 0.82,
|
456 |
+
"learning_rate": 5.943165510532945e-05,
|
457 |
+
"loss": 0.8795,
|
458 |
"step": 375
|
459 |
},
|
460 |
{
|
461 |
+
"epoch": 0.83,
|
462 |
+
"learning_rate": 5.710077103155516e-05,
|
463 |
+
"loss": 0.9003,
|
464 |
"step": 380
|
465 |
},
|
466 |
{
|
467 |
+
"epoch": 0.84,
|
468 |
+
"learning_rate": 5.4783471134343704e-05,
|
469 |
+
"loss": 0.7688,
|
470 |
"step": 385
|
471 |
},
|
472 |
{
|
473 |
+
"epoch": 0.85,
|
474 |
+
"learning_rate": 5.248249286775053e-05,
|
475 |
+
"loss": 0.8768,
|
476 |
"step": 390
|
477 |
},
|
478 |
{
|
479 |
+
"epoch": 0.86,
|
480 |
+
"learning_rate": 5.02005544048863e-05,
|
481 |
+
"loss": 0.8473,
|
482 |
"step": 395
|
483 |
},
|
484 |
{
|
485 |
"epoch": 0.88,
|
486 |
+
"learning_rate": 4.7940351426927284e-05,
|
487 |
+
"loss": 0.9321,
|
488 |
"step": 400
|
489 |
},
|
490 |
{
|
491 |
+
"epoch": 0.89,
|
492 |
+
"learning_rate": 4.5704553938646724e-05,
|
493 |
+
"loss": 0.7829,
|
494 |
"step": 405
|
495 |
},
|
496 |
{
|
497 |
+
"epoch": 0.9,
|
498 |
+
"learning_rate": 4.349580311433621e-05,
|
499 |
+
"loss": 0.9309,
|
500 |
"step": 410
|
501 |
},
|
502 |
{
|
503 |
+
"epoch": 0.91,
|
504 |
+
"learning_rate": 4.1316708177727135e-05,
|
505 |
+
"loss": 0.8959,
|
506 |
"step": 415
|
507 |
},
|
508 |
{
|
509 |
+
"epoch": 0.92,
|
510 |
+
"learning_rate": 3.9169843319703834e-05,
|
511 |
+
"loss": 1.0492,
|
512 |
"step": 420
|
513 |
},
|
514 |
{
|
515 |
+
"epoch": 0.93,
|
516 |
+
"learning_rate": 3.7057744657371865e-05,
|
517 |
+
"loss": 0.8489,
|
518 |
"step": 425
|
519 |
},
|
520 |
{
|
521 |
+
"epoch": 0.94,
|
522 |
+
"learning_rate": 3.4982907238114506e-05,
|
523 |
+
"loss": 0.8533,
|
524 |
"step": 430
|
525 |
},
|
526 |
{
|
527 |
+
"epoch": 0.95,
|
528 |
+
"learning_rate": 3.294778209216339e-05,
|
529 |
+
"loss": 0.8134,
|
530 |
"step": 435
|
531 |
},
|
532 |
{
|
533 |
+
"epoch": 0.96,
|
534 |
+
"learning_rate": 3.0954773337168915e-05,
|
535 |
+
"loss": 0.715,
|
536 |
"step": 440
|
537 |
},
|
538 |
{
|
539 |
+
"epoch": 0.97,
|
540 |
+
"learning_rate": 2.9006235338179113e-05,
|
541 |
+
"loss": 0.8985,
|
542 |
"step": 445
|
543 |
},
|
544 |
{
|
545 |
+
"epoch": 0.98,
|
546 |
+
"learning_rate": 2.7104469926418013e-05,
|
547 |
+
"loss": 0.7858,
|
548 |
"step": 450
|
549 |
},
|
550 |
{
|
551 |
"epoch": 1.0,
|
552 |
+
"learning_rate": 2.5251723680080823e-05,
|
553 |
+
"loss": 0.8067,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
554 |
"step": 455
|
555 |
},
|
556 |
{
|
557 |
+
"epoch": 1.0,
|
558 |
+
"eval_loss": 0.5359192490577698,
|
559 |
+
"eval_runtime": 35.4879,
|
560 |
+
"eval_samples_per_second": 17.527,
|
561 |
+
"eval_steps_per_second": 2.198,
|
562 |
+
"step": 457
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
563 |
}
|
564 |
],
|
565 |
+
"max_steps": 1371,
|
566 |
"num_train_epochs": 3,
|
567 |
+
"total_flos": 477511188480000.0,
|
568 |
"trial_name": null,
|
569 |
"trial_params": null
|
570 |
}
|
training_args.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 2991
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:475fbc9a8ec7f1b3820948f0983fcab5f9bb76a06e80e9693f7a65bbc6bf3fb1
|
3 |
size 2991
|