Upload folder using huggingface_hub
Browse files- config.json +1 -1
- model.safetensors +1 -1
- optimizer.pt +1 -1
- scheduler.pt +1 -1
- test.py +1 -1
- trainer_state.json +205 -805
- training_args.bin +1 -1
config.json
CHANGED
@@ -1,5 +1,5 @@
|
|
1 |
{
|
2 |
-
"_name_or_path": "retnet-tinystories/checkpoint-
|
3 |
"activation_dropout": 0.0,
|
4 |
"activation_fn": "swish",
|
5 |
"architectures": [
|
|
|
1 |
{
|
2 |
+
"_name_or_path": "retnet-tinystories/checkpoint-1000",
|
3 |
"activation_dropout": 0.0,
|
4 |
"activation_fn": "swish",
|
5 |
"architectures": [
|
model.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 1615784368
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:efb8d686544ce31e8332f4d01bf2f1292e335f25b4bde181585534af00dbb892
|
3 |
size 1615784368
|
optimizer.pt
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 3231643962
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:42bf76c3ae8af625277b114f928e4b22175b21adf0ef5c85ad1163f7e2ed5d6e
|
3 |
size 3231643962
|
scheduler.pt
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 1064
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:8864d82a35bb3c3fc324c1383bdf60d8a772caaa4595c375264f859cb778d14b
|
3 |
size 1064
|
test.py
CHANGED
@@ -1,7 +1,7 @@
|
|
1 |
from transformers import AutoTokenizer
|
2 |
from retnet.modeling_retnet import RetNetForCausalLM
|
3 |
|
4 |
-
model = RetNetForCausalLM.from_pretrained("
|
5 |
tokenizer = AutoTokenizer.from_pretrained('gpt2')
|
6 |
tokenizer.model_max_length = 16384
|
7 |
tokenizer.pad_token = tokenizer.eos_token
|
|
|
1 |
from transformers import AutoTokenizer
|
2 |
from retnet.modeling_retnet import RetNetForCausalLM
|
3 |
|
4 |
+
model = RetNetForCausalLM.from_pretrained("./")
|
5 |
tokenizer = AutoTokenizer.from_pretrained('gpt2')
|
6 |
tokenizer.model_max_length = 16384
|
7 |
tokenizer.pad_token = tokenizer.eos_token
|
trainer_state.json
CHANGED
@@ -1,1220 +1,620 @@
|
|
1 |
{
|
2 |
"best_metric": null,
|
3 |
"best_model_checkpoint": null,
|
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": 0.01,
|
13 |
-
"learning_rate": 0.
|
14 |
-
"loss":
|
15 |
"step": 5
|
16 |
},
|
17 |
{
|
18 |
"epoch": 0.01,
|
19 |
-
"learning_rate": 0.
|
20 |
-
"loss":
|
21 |
"step": 10
|
22 |
},
|
23 |
{
|
24 |
"epoch": 0.01,
|
25 |
-
"learning_rate": 0.
|
26 |
-
"loss":
|
27 |
"step": 15
|
28 |
},
|
29 |
{
|
30 |
"epoch": 0.02,
|
31 |
-
"learning_rate": 0.
|
32 |
-
"loss":
|
33 |
"step": 20
|
34 |
},
|
35 |
{
|
36 |
"epoch": 0.03,
|
37 |
-
"learning_rate": 0.
|
38 |
-
"loss":
|
39 |
"step": 25
|
40 |
},
|
41 |
{
|
42 |
"epoch": 0.03,
|
43 |
-
"learning_rate": 0.
|
44 |
-
"loss":
|
45 |
"step": 30
|
46 |
},
|
47 |
{
|
48 |
"epoch": 0.04,
|
49 |
-
"learning_rate": 0.
|
50 |
-
"loss":
|
51 |
"step": 35
|
52 |
},
|
53 |
{
|
54 |
"epoch": 0.04,
|
55 |
-
"learning_rate": 0.
|
56 |
-
"loss":
|
57 |
"step": 40
|
58 |
},
|
59 |
{
|
60 |
"epoch": 0.04,
|
61 |
-
"learning_rate": 0.
|
62 |
-
"loss":
|
63 |
"step": 45
|
64 |
},
|
65 |
{
|
66 |
"epoch": 0.05,
|
67 |
-
"learning_rate": 0.
|
68 |
-
"loss":
|
69 |
"step": 50
|
70 |
},
|
71 |
{
|
72 |
"epoch": 0.06,
|
73 |
-
"learning_rate": 0.
|
74 |
-
"loss":
|
75 |
"step": 55
|
76 |
},
|
77 |
{
|
78 |
"epoch": 0.06,
|
79 |
-
"learning_rate": 0.
|
80 |
-
"loss":
|
81 |
"step": 60
|
82 |
},
|
83 |
{
|
84 |
"epoch": 0.07,
|
85 |
-
"learning_rate": 0.
|
86 |
-
"loss":
|
87 |
"step": 65
|
88 |
},
|
89 |
{
|
90 |
"epoch": 0.07,
|
91 |
-
"learning_rate": 0.
|
92 |
-
"loss":
|
93 |
"step": 70
|
94 |
},
|
95 |
{
|
96 |
"epoch": 0.07,
|
97 |
-
"learning_rate": 0.
|
98 |
-
"loss":
|
99 |
"step": 75
|
100 |
},
|
101 |
{
|
102 |
"epoch": 0.08,
|
103 |
-
"learning_rate": 0.
|
104 |
-
"loss":
|
105 |
"step": 80
|
106 |
},
|
107 |
{
|
108 |
"epoch": 0.09,
|
109 |
-
"learning_rate": 0.
|
110 |
-
"loss":
|
111 |
"step": 85
|
112 |
},
|
113 |
{
|
114 |
"epoch": 0.09,
|
115 |
-
"learning_rate": 0.
|
116 |
-
"loss":
|
117 |
"step": 90
|
118 |
},
|
119 |
{
|
120 |
"epoch": 0.1,
|
121 |
-
"learning_rate": 0.
|
122 |
-
"loss":
|
123 |
"step": 95
|
124 |
},
|
125 |
{
|
126 |
"epoch": 0.1,
|
127 |
-
"learning_rate": 0.
|
128 |
-
"loss":
|
129 |
"step": 100
|
130 |
},
|
131 |
{
|
132 |
"epoch": 0.1,
|
133 |
-
"learning_rate": 0.
|
134 |
-
"loss":
|
135 |
"step": 105
|
136 |
},
|
137 |
{
|
138 |
"epoch": 0.11,
|
139 |
-
"learning_rate": 0.
|
140 |
-
"loss":
|
141 |
"step": 110
|
142 |
},
|
143 |
{
|
144 |
"epoch": 0.12,
|
145 |
-
"learning_rate": 0.
|
146 |
-
"loss":
|
147 |
"step": 115
|
148 |
},
|
149 |
{
|
150 |
"epoch": 0.12,
|
151 |
-
"learning_rate": 0.
|
152 |
-
"loss":
|
153 |
"step": 120
|
154 |
},
|
155 |
{
|
156 |
"epoch": 0.12,
|
157 |
-
"learning_rate": 0.
|
158 |
-
"loss":
|
159 |
"step": 125
|
160 |
},
|
161 |
{
|
162 |
"epoch": 0.13,
|
163 |
-
"learning_rate": 0.
|
164 |
-
"loss":
|
165 |
"step": 130
|
166 |
},
|
167 |
{
|
168 |
"epoch": 0.14,
|
169 |
-
"learning_rate": 0.
|
170 |
-
"loss":
|
171 |
"step": 135
|
172 |
},
|
173 |
{
|
174 |
"epoch": 0.14,
|
175 |
-
"learning_rate": 0.
|
176 |
-
"loss":
|
177 |
"step": 140
|
178 |
},
|
179 |
{
|
180 |
"epoch": 0.14,
|
181 |
-
"learning_rate": 0.
|
182 |
-
"loss":
|
183 |
"step": 145
|
184 |
},
|
185 |
{
|
186 |
"epoch": 0.15,
|
187 |
-
"learning_rate": 0.
|
188 |
-
"loss": 1.
|
189 |
"step": 150
|
190 |
},
|
191 |
{
|
192 |
"epoch": 0.15,
|
193 |
-
"learning_rate": 0.
|
194 |
-
"loss":
|
195 |
"step": 155
|
196 |
},
|
197 |
{
|
198 |
"epoch": 0.16,
|
199 |
-
"learning_rate": 0.
|
200 |
-
"loss":
|
201 |
"step": 160
|
202 |
},
|
203 |
{
|
204 |
"epoch": 0.17,
|
205 |
-
"learning_rate": 0.
|
206 |
-
"loss":
|
207 |
"step": 165
|
208 |
},
|
209 |
{
|
210 |
"epoch": 0.17,
|
211 |
-
"learning_rate": 0.
|
212 |
-
"loss":
|
213 |
"step": 170
|
214 |
},
|
215 |
{
|
216 |
"epoch": 0.17,
|
217 |
-
"learning_rate": 0.
|
218 |
-
"loss":
|
219 |
"step": 175
|
220 |
},
|
221 |
{
|
222 |
"epoch": 0.18,
|
223 |
-
"learning_rate": 0.
|
224 |
-
"loss":
|
225 |
"step": 180
|
226 |
},
|
227 |
{
|
228 |
"epoch": 0.18,
|
229 |
-
"learning_rate": 0.
|
230 |
-
"loss":
|
231 |
"step": 185
|
232 |
},
|
233 |
{
|
234 |
"epoch": 0.19,
|
235 |
-
"learning_rate": 0.
|
236 |
-
"loss": 1.
|
237 |
"step": 190
|
238 |
},
|
239 |
{
|
240 |
"epoch": 0.2,
|
241 |
-
"learning_rate": 0.
|
242 |
-
"loss":
|
243 |
"step": 195
|
244 |
},
|
245 |
{
|
246 |
"epoch": 0.2,
|
247 |
-
"learning_rate": 0.
|
248 |
-
"loss":
|
249 |
"step": 200
|
250 |
},
|
251 |
{
|
252 |
"epoch": 0.2,
|
253 |
-
"learning_rate": 0.
|
254 |
-
"loss":
|
255 |
"step": 205
|
256 |
},
|
257 |
{
|
258 |
"epoch": 0.21,
|
259 |
-
"learning_rate": 0.
|
260 |
-
"loss": 1.
|
261 |
"step": 210
|
262 |
},
|
263 |
{
|
264 |
"epoch": 0.21,
|
265 |
-
"learning_rate": 0.
|
266 |
-
"loss":
|
267 |
"step": 215
|
268 |
},
|
269 |
{
|
270 |
"epoch": 0.22,
|
271 |
-
"learning_rate": 0.
|
272 |
-
"loss":
|
273 |
"step": 220
|
274 |
},
|
275 |
{
|
276 |
"epoch": 0.23,
|
277 |
-
"learning_rate": 0.
|
278 |
-
"loss":
|
279 |
"step": 225
|
280 |
},
|
281 |
{
|
282 |
"epoch": 0.23,
|
283 |
-
"learning_rate": 0.
|
284 |
-
"loss": 1.
|
285 |
"step": 230
|
286 |
},
|
287 |
{
|
288 |
"epoch": 0.23,
|
289 |
-
"learning_rate": 0.
|
290 |
-
"loss":
|
291 |
"step": 235
|
292 |
},
|
293 |
{
|
294 |
"epoch": 0.24,
|
295 |
-
"learning_rate": 0.
|
296 |
-
"loss": 1.
|
297 |
"step": 240
|
298 |
},
|
299 |
{
|
300 |
"epoch": 0.24,
|
301 |
-
"learning_rate": 0.
|
302 |
-
"loss": 1.
|
303 |
"step": 245
|
304 |
},
|
305 |
{
|
306 |
"epoch": 0.25,
|
307 |
-
"learning_rate": 0.
|
308 |
-
"loss": 1.
|
309 |
"step": 250
|
310 |
},
|
311 |
{
|
312 |
"epoch": 0.26,
|
313 |
-
"learning_rate": 0.
|
314 |
-
"loss": 1.
|
315 |
"step": 255
|
316 |
},
|
317 |
{
|
318 |
"epoch": 0.26,
|
319 |
-
"learning_rate": 0.
|
320 |
-
"loss": 1.
|
321 |
"step": 260
|
322 |
},
|
323 |
{
|
324 |
"epoch": 0.27,
|
325 |
-
"learning_rate": 0.
|
326 |
-
"loss":
|
327 |
"step": 265
|
328 |
},
|
329 |
{
|
330 |
"epoch": 0.27,
|
331 |
-
"learning_rate": 0.
|
332 |
-
"loss":
|
333 |
"step": 270
|
334 |
},
|
335 |
{
|
336 |
"epoch": 0.28,
|
337 |
-
"learning_rate": 0.
|
338 |
-
"loss": 1.
|
339 |
"step": 275
|
340 |
},
|
341 |
{
|
342 |
"epoch": 0.28,
|
343 |
-
"learning_rate": 0.
|
344 |
-
"loss":
|
345 |
"step": 280
|
346 |
},
|
347 |
{
|
348 |
"epoch": 0.28,
|
349 |
-
"learning_rate": 0.
|
350 |
-
"loss": 1.
|
351 |
"step": 285
|
352 |
},
|
353 |
{
|
354 |
"epoch": 0.29,
|
355 |
-
"learning_rate": 0.
|
356 |
-
"loss":
|
357 |
"step": 290
|
358 |
},
|
359 |
{
|
360 |
"epoch": 0.29,
|
361 |
-
"learning_rate": 0.
|
362 |
-
"loss":
|
363 |
"step": 295
|
364 |
},
|
365 |
{
|
366 |
"epoch": 0.3,
|
367 |
-
"learning_rate": 0.
|
368 |
-
"loss": 1.
|
369 |
"step": 300
|
370 |
},
|
371 |
{
|
372 |
"epoch": 0.3,
|
373 |
-
"learning_rate": 0.
|
374 |
-
"loss": 1.
|
375 |
"step": 305
|
376 |
},
|
377 |
{
|
378 |
"epoch": 0.31,
|
379 |
-
"learning_rate": 0.
|
380 |
-
"loss": 1.
|
381 |
"step": 310
|
382 |
},
|
383 |
{
|
384 |
"epoch": 0.32,
|
385 |
-
"learning_rate": 0.
|
386 |
-
"loss": 1.
|
387 |
"step": 315
|
388 |
},
|
389 |
{
|
390 |
"epoch": 0.32,
|
391 |
-
"learning_rate": 0.
|
392 |
-
"loss": 1.
|
393 |
"step": 320
|
394 |
},
|
395 |
{
|
396 |
"epoch": 0.33,
|
397 |
-
"learning_rate": 0.
|
398 |
-
"loss": 1.
|
399 |
"step": 325
|
400 |
},
|
401 |
{
|
402 |
"epoch": 0.33,
|
403 |
-
"learning_rate": 0.
|
404 |
-
"loss": 1.
|
405 |
"step": 330
|
406 |
},
|
407 |
{
|
408 |
"epoch": 0.34,
|
409 |
-
"learning_rate": 0.
|
410 |
-
"loss": 1.
|
411 |
"step": 335
|
412 |
},
|
413 |
{
|
414 |
"epoch": 0.34,
|
415 |
-
"learning_rate": 0.
|
416 |
-
"loss": 1.
|
417 |
"step": 340
|
418 |
},
|
419 |
{
|
420 |
"epoch": 0.34,
|
421 |
-
"learning_rate": 0.
|
422 |
-
"loss":
|
423 |
"step": 345
|
424 |
},
|
425 |
{
|
426 |
"epoch": 0.35,
|
427 |
-
"learning_rate": 0.
|
428 |
-
"loss": 1.
|
429 |
"step": 350
|
430 |
},
|
431 |
{
|
432 |
"epoch": 0.35,
|
433 |
-
"learning_rate": 0.
|
434 |
-
"loss": 1.
|
435 |
"step": 355
|
436 |
},
|
437 |
{
|
438 |
"epoch": 0.36,
|
439 |
-
"learning_rate": 0.
|
440 |
-
"loss": 1.
|
441 |
"step": 360
|
442 |
},
|
443 |
{
|
444 |
"epoch": 0.36,
|
445 |
-
"learning_rate": 0.
|
446 |
-
"loss": 1.
|
447 |
"step": 365
|
448 |
},
|
449 |
{
|
450 |
"epoch": 0.37,
|
451 |
-
"learning_rate": 0.
|
452 |
-
"loss": 1.
|
453 |
"step": 370
|
454 |
},
|
455 |
{
|
456 |
"epoch": 0.38,
|
457 |
-
"learning_rate": 0.
|
458 |
-
"loss": 1.
|
459 |
"step": 375
|
460 |
},
|
461 |
{
|
462 |
"epoch": 0.38,
|
463 |
-
"learning_rate": 0.
|
464 |
-
"loss":
|
465 |
"step": 380
|
466 |
},
|
467 |
{
|
468 |
"epoch": 0.39,
|
469 |
-
"learning_rate": 0.
|
470 |
-
"loss": 1.
|
471 |
"step": 385
|
472 |
},
|
473 |
{
|
474 |
"epoch": 0.39,
|
475 |
-
"learning_rate": 0.
|
476 |
-
"loss": 1.
|
477 |
"step": 390
|
478 |
},
|
479 |
{
|
480 |
"epoch": 0.4,
|
481 |
-
"learning_rate": 0.
|
482 |
-
"loss": 1.
|
483 |
"step": 395
|
484 |
},
|
485 |
{
|
486 |
"epoch": 0.4,
|
487 |
-
"learning_rate": 0.
|
488 |
-
"loss":
|
489 |
"step": 400
|
490 |
},
|
491 |
{
|
492 |
"epoch": 0.41,
|
493 |
-
"learning_rate": 0.
|
494 |
-
"loss": 1.
|
495 |
"step": 405
|
496 |
},
|
497 |
{
|
498 |
"epoch": 0.41,
|
499 |
-
"learning_rate": 0.
|
500 |
-
"loss": 1.
|
501 |
"step": 410
|
502 |
},
|
503 |
{
|
504 |
"epoch": 0.41,
|
505 |
-
"learning_rate": 0.
|
506 |
-
"loss": 1.
|
507 |
"step": 415
|
508 |
},
|
509 |
{
|
510 |
"epoch": 0.42,
|
511 |
-
"learning_rate": 0.
|
512 |
-
"loss": 1.
|
513 |
"step": 420
|
514 |
},
|
515 |
{
|
516 |
"epoch": 0.42,
|
517 |
-
"learning_rate": 0.
|
518 |
-
"loss": 1.
|
519 |
"step": 425
|
520 |
},
|
521 |
{
|
522 |
"epoch": 0.43,
|
523 |
-
"learning_rate": 0.
|
524 |
-
"loss": 1.
|
525 |
"step": 430
|
526 |
},
|
527 |
{
|
528 |
"epoch": 0.43,
|
529 |
-
"learning_rate": 0.
|
530 |
-
"loss": 1.
|
531 |
"step": 435
|
532 |
},
|
533 |
{
|
534 |
"epoch": 0.44,
|
535 |
-
"learning_rate": 0.
|
536 |
-
"loss": 1.
|
537 |
"step": 440
|
538 |
},
|
539 |
{
|
540 |
"epoch": 0.45,
|
541 |
-
"learning_rate": 0.
|
542 |
-
"loss": 1.
|
543 |
"step": 445
|
544 |
},
|
545 |
{
|
546 |
"epoch": 0.45,
|
547 |
-
"learning_rate": 0.
|
548 |
-
"loss": 1.
|
549 |
"step": 450
|
550 |
},
|
551 |
{
|
552 |
"epoch": 0.46,
|
553 |
-
"learning_rate": 0.
|
554 |
-
"loss": 1.
|
555 |
"step": 455
|
556 |
},
|
557 |
{
|
558 |
"epoch": 0.46,
|
559 |
-
"learning_rate": 0.
|
560 |
-
"loss": 1.
|
561 |
"step": 460
|
562 |
},
|
563 |
{
|
564 |
"epoch": 0.47,
|
565 |
-
"learning_rate": 0.
|
566 |
-
"loss": 1.
|
567 |
"step": 465
|
568 |
},
|
569 |
{
|
570 |
"epoch": 0.47,
|
571 |
-
"learning_rate": 0.
|
572 |
-
"loss": 1.
|
573 |
"step": 470
|
574 |
},
|
575 |
{
|
576 |
"epoch": 0.47,
|
577 |
-
"learning_rate": 0.
|
578 |
-
"loss": 1.
|
579 |
"step": 475
|
580 |
},
|
581 |
{
|
582 |
"epoch": 0.48,
|
583 |
-
"learning_rate": 0.
|
584 |
-
"loss": 1.
|
585 |
"step": 480
|
586 |
},
|
587 |
{
|
588 |
"epoch": 0.48,
|
589 |
-
"learning_rate": 0.
|
590 |
-
"loss": 1.
|
591 |
"step": 485
|
592 |
},
|
593 |
{
|
594 |
"epoch": 0.49,
|
595 |
-
"learning_rate": 0.
|
596 |
-
"loss": 1.
|
597 |
"step": 490
|
598 |
},
|
599 |
{
|
600 |
"epoch": 0.49,
|
601 |
-
"learning_rate": 0.
|
602 |
-
"loss": 1.
|
603 |
"step": 495
|
604 |
},
|
605 |
{
|
606 |
"epoch": 0.5,
|
607 |
-
"learning_rate": 0.
|
608 |
-
"loss": 1.
|
609 |
"step": 500
|
610 |
-
},
|
611 |
-
{
|
612 |
-
"epoch": 0.51,
|
613 |
-
"learning_rate": 0.00044950000000000003,
|
614 |
-
"loss": 1.96,
|
615 |
-
"step": 505
|
616 |
-
},
|
617 |
-
{
|
618 |
-
"epoch": 0.51,
|
619 |
-
"learning_rate": 0.000449,
|
620 |
-
"loss": 1.9014,
|
621 |
-
"step": 510
|
622 |
-
},
|
623 |
-
{
|
624 |
-
"epoch": 0.52,
|
625 |
-
"learning_rate": 0.0004485,
|
626 |
-
"loss": 1.9354,
|
627 |
-
"step": 515
|
628 |
-
},
|
629 |
-
{
|
630 |
-
"epoch": 0.52,
|
631 |
-
"learning_rate": 0.000448,
|
632 |
-
"loss": 1.9597,
|
633 |
-
"step": 520
|
634 |
-
},
|
635 |
-
{
|
636 |
-
"epoch": 0.53,
|
637 |
-
"learning_rate": 0.00044750000000000004,
|
638 |
-
"loss": 1.9367,
|
639 |
-
"step": 525
|
640 |
-
},
|
641 |
-
{
|
642 |
-
"epoch": 0.53,
|
643 |
-
"learning_rate": 0.000447,
|
644 |
-
"loss": 1.9698,
|
645 |
-
"step": 530
|
646 |
-
},
|
647 |
-
{
|
648 |
-
"epoch": 0.54,
|
649 |
-
"learning_rate": 0.0004465,
|
650 |
-
"loss": 1.8743,
|
651 |
-
"step": 535
|
652 |
-
},
|
653 |
-
{
|
654 |
-
"epoch": 0.54,
|
655 |
-
"learning_rate": 0.000446,
|
656 |
-
"loss": 1.9083,
|
657 |
-
"step": 540
|
658 |
-
},
|
659 |
-
{
|
660 |
-
"epoch": 0.55,
|
661 |
-
"learning_rate": 0.00044550000000000004,
|
662 |
-
"loss": 1.9096,
|
663 |
-
"step": 545
|
664 |
-
},
|
665 |
-
{
|
666 |
-
"epoch": 0.55,
|
667 |
-
"learning_rate": 0.00044500000000000003,
|
668 |
-
"loss": 2.0429,
|
669 |
-
"step": 550
|
670 |
-
},
|
671 |
-
{
|
672 |
-
"epoch": 0.56,
|
673 |
-
"learning_rate": 0.0004445,
|
674 |
-
"loss": 1.9972,
|
675 |
-
"step": 555
|
676 |
-
},
|
677 |
-
{
|
678 |
-
"epoch": 0.56,
|
679 |
-
"learning_rate": 0.000444,
|
680 |
-
"loss": 1.8974,
|
681 |
-
"step": 560
|
682 |
-
},
|
683 |
-
{
|
684 |
-
"epoch": 0.56,
|
685 |
-
"learning_rate": 0.0004435,
|
686 |
-
"loss": 1.9467,
|
687 |
-
"step": 565
|
688 |
-
},
|
689 |
-
{
|
690 |
-
"epoch": 0.57,
|
691 |
-
"learning_rate": 0.00044300000000000003,
|
692 |
-
"loss": 1.9382,
|
693 |
-
"step": 570
|
694 |
-
},
|
695 |
-
{
|
696 |
-
"epoch": 0.57,
|
697 |
-
"learning_rate": 0.0004425,
|
698 |
-
"loss": 1.8893,
|
699 |
-
"step": 575
|
700 |
-
},
|
701 |
-
{
|
702 |
-
"epoch": 0.58,
|
703 |
-
"learning_rate": 0.000442,
|
704 |
-
"loss": 1.9392,
|
705 |
-
"step": 580
|
706 |
-
},
|
707 |
-
{
|
708 |
-
"epoch": 0.58,
|
709 |
-
"learning_rate": 0.0004415,
|
710 |
-
"loss": 1.9229,
|
711 |
-
"step": 585
|
712 |
-
},
|
713 |
-
{
|
714 |
-
"epoch": 0.59,
|
715 |
-
"learning_rate": 0.000441,
|
716 |
-
"loss": 1.9042,
|
717 |
-
"step": 590
|
718 |
-
},
|
719 |
-
{
|
720 |
-
"epoch": 0.59,
|
721 |
-
"learning_rate": 0.00044050000000000003,
|
722 |
-
"loss": 1.9104,
|
723 |
-
"step": 595
|
724 |
-
},
|
725 |
-
{
|
726 |
-
"epoch": 0.6,
|
727 |
-
"learning_rate": 0.00044,
|
728 |
-
"loss": 1.9541,
|
729 |
-
"step": 600
|
730 |
-
},
|
731 |
-
{
|
732 |
-
"epoch": 0.6,
|
733 |
-
"learning_rate": 0.0004395,
|
734 |
-
"loss": 1.8948,
|
735 |
-
"step": 605
|
736 |
-
},
|
737 |
-
{
|
738 |
-
"epoch": 0.61,
|
739 |
-
"learning_rate": 0.000439,
|
740 |
-
"loss": 1.8849,
|
741 |
-
"step": 610
|
742 |
-
},
|
743 |
-
{
|
744 |
-
"epoch": 0.61,
|
745 |
-
"learning_rate": 0.00043850000000000003,
|
746 |
-
"loss": 1.9097,
|
747 |
-
"step": 615
|
748 |
-
},
|
749 |
-
{
|
750 |
-
"epoch": 0.62,
|
751 |
-
"learning_rate": 0.000438,
|
752 |
-
"loss": 1.9457,
|
753 |
-
"step": 620
|
754 |
-
},
|
755 |
-
{
|
756 |
-
"epoch": 0.62,
|
757 |
-
"learning_rate": 0.0004375,
|
758 |
-
"loss": 1.9231,
|
759 |
-
"step": 625
|
760 |
-
},
|
761 |
-
{
|
762 |
-
"epoch": 0.63,
|
763 |
-
"learning_rate": 0.000437,
|
764 |
-
"loss": 1.9228,
|
765 |
-
"step": 630
|
766 |
-
},
|
767 |
-
{
|
768 |
-
"epoch": 0.64,
|
769 |
-
"learning_rate": 0.0004365,
|
770 |
-
"loss": 1.9258,
|
771 |
-
"step": 635
|
772 |
-
},
|
773 |
-
{
|
774 |
-
"epoch": 0.64,
|
775 |
-
"learning_rate": 0.000436,
|
776 |
-
"loss": 1.8884,
|
777 |
-
"step": 640
|
778 |
-
},
|
779 |
-
{
|
780 |
-
"epoch": 0.65,
|
781 |
-
"learning_rate": 0.0004355,
|
782 |
-
"loss": 1.8693,
|
783 |
-
"step": 645
|
784 |
-
},
|
785 |
-
{
|
786 |
-
"epoch": 0.65,
|
787 |
-
"learning_rate": 0.000435,
|
788 |
-
"loss": 1.8635,
|
789 |
-
"step": 650
|
790 |
-
},
|
791 |
-
{
|
792 |
-
"epoch": 0.66,
|
793 |
-
"learning_rate": 0.0004345,
|
794 |
-
"loss": 1.9319,
|
795 |
-
"step": 655
|
796 |
-
},
|
797 |
-
{
|
798 |
-
"epoch": 0.66,
|
799 |
-
"learning_rate": 0.00043400000000000003,
|
800 |
-
"loss": 1.9116,
|
801 |
-
"step": 660
|
802 |
-
},
|
803 |
-
{
|
804 |
-
"epoch": 0.67,
|
805 |
-
"learning_rate": 0.0004335,
|
806 |
-
"loss": 1.9299,
|
807 |
-
"step": 665
|
808 |
-
},
|
809 |
-
{
|
810 |
-
"epoch": 0.67,
|
811 |
-
"learning_rate": 0.000433,
|
812 |
-
"loss": 1.8971,
|
813 |
-
"step": 670
|
814 |
-
},
|
815 |
-
{
|
816 |
-
"epoch": 0.68,
|
817 |
-
"learning_rate": 0.0004325,
|
818 |
-
"loss": 1.9317,
|
819 |
-
"step": 675
|
820 |
-
},
|
821 |
-
{
|
822 |
-
"epoch": 0.68,
|
823 |
-
"learning_rate": 0.000432,
|
824 |
-
"loss": 1.9523,
|
825 |
-
"step": 680
|
826 |
-
},
|
827 |
-
{
|
828 |
-
"epoch": 0.69,
|
829 |
-
"learning_rate": 0.0004315,
|
830 |
-
"loss": 1.8683,
|
831 |
-
"step": 685
|
832 |
-
},
|
833 |
-
{
|
834 |
-
"epoch": 0.69,
|
835 |
-
"learning_rate": 0.000431,
|
836 |
-
"loss": 1.9321,
|
837 |
-
"step": 690
|
838 |
-
},
|
839 |
-
{
|
840 |
-
"epoch": 0.69,
|
841 |
-
"learning_rate": 0.0004305,
|
842 |
-
"loss": 1.8971,
|
843 |
-
"step": 695
|
844 |
-
},
|
845 |
-
{
|
846 |
-
"epoch": 0.7,
|
847 |
-
"learning_rate": 0.00043,
|
848 |
-
"loss": 1.8666,
|
849 |
-
"step": 700
|
850 |
-
},
|
851 |
-
{
|
852 |
-
"epoch": 0.7,
|
853 |
-
"learning_rate": 0.0004295,
|
854 |
-
"loss": 1.888,
|
855 |
-
"step": 705
|
856 |
-
},
|
857 |
-
{
|
858 |
-
"epoch": 0.71,
|
859 |
-
"learning_rate": 0.000429,
|
860 |
-
"loss": 1.8946,
|
861 |
-
"step": 710
|
862 |
-
},
|
863 |
-
{
|
864 |
-
"epoch": 0.71,
|
865 |
-
"learning_rate": 0.0004285,
|
866 |
-
"loss": 1.9037,
|
867 |
-
"step": 715
|
868 |
-
},
|
869 |
-
{
|
870 |
-
"epoch": 0.72,
|
871 |
-
"learning_rate": 0.000428,
|
872 |
-
"loss": 1.8533,
|
873 |
-
"step": 720
|
874 |
-
},
|
875 |
-
{
|
876 |
-
"epoch": 0.72,
|
877 |
-
"learning_rate": 0.0004275,
|
878 |
-
"loss": 1.9052,
|
879 |
-
"step": 725
|
880 |
-
},
|
881 |
-
{
|
882 |
-
"epoch": 0.73,
|
883 |
-
"learning_rate": 0.000427,
|
884 |
-
"loss": 1.8677,
|
885 |
-
"step": 730
|
886 |
-
},
|
887 |
-
{
|
888 |
-
"epoch": 0.73,
|
889 |
-
"learning_rate": 0.0004265,
|
890 |
-
"loss": 1.9164,
|
891 |
-
"step": 735
|
892 |
-
},
|
893 |
-
{
|
894 |
-
"epoch": 0.74,
|
895 |
-
"learning_rate": 0.000426,
|
896 |
-
"loss": 1.8823,
|
897 |
-
"step": 740
|
898 |
-
},
|
899 |
-
{
|
900 |
-
"epoch": 0.74,
|
901 |
-
"learning_rate": 0.0004255,
|
902 |
-
"loss": 1.9215,
|
903 |
-
"step": 745
|
904 |
-
},
|
905 |
-
{
|
906 |
-
"epoch": 0.75,
|
907 |
-
"learning_rate": 0.000425,
|
908 |
-
"loss": 1.8903,
|
909 |
-
"step": 750
|
910 |
-
},
|
911 |
-
{
|
912 |
-
"epoch": 0.76,
|
913 |
-
"learning_rate": 0.0004245,
|
914 |
-
"loss": 1.8148,
|
915 |
-
"step": 755
|
916 |
-
},
|
917 |
-
{
|
918 |
-
"epoch": 0.76,
|
919 |
-
"learning_rate": 0.000424,
|
920 |
-
"loss": 1.8324,
|
921 |
-
"step": 760
|
922 |
-
},
|
923 |
-
{
|
924 |
-
"epoch": 0.77,
|
925 |
-
"learning_rate": 0.0004235,
|
926 |
-
"loss": 1.9011,
|
927 |
-
"step": 765
|
928 |
-
},
|
929 |
-
{
|
930 |
-
"epoch": 0.77,
|
931 |
-
"learning_rate": 0.000423,
|
932 |
-
"loss": 1.9424,
|
933 |
-
"step": 770
|
934 |
-
},
|
935 |
-
{
|
936 |
-
"epoch": 0.78,
|
937 |
-
"learning_rate": 0.00042249999999999997,
|
938 |
-
"loss": 1.9028,
|
939 |
-
"step": 775
|
940 |
-
},
|
941 |
-
{
|
942 |
-
"epoch": 0.78,
|
943 |
-
"learning_rate": 0.000422,
|
944 |
-
"loss": 1.8789,
|
945 |
-
"step": 780
|
946 |
-
},
|
947 |
-
{
|
948 |
-
"epoch": 0.79,
|
949 |
-
"learning_rate": 0.0004215,
|
950 |
-
"loss": 1.9016,
|
951 |
-
"step": 785
|
952 |
-
},
|
953 |
-
{
|
954 |
-
"epoch": 0.79,
|
955 |
-
"learning_rate": 0.000421,
|
956 |
-
"loss": 1.8837,
|
957 |
-
"step": 790
|
958 |
-
},
|
959 |
-
{
|
960 |
-
"epoch": 0.8,
|
961 |
-
"learning_rate": 0.0004205,
|
962 |
-
"loss": 1.8651,
|
963 |
-
"step": 795
|
964 |
-
},
|
965 |
-
{
|
966 |
-
"epoch": 0.8,
|
967 |
-
"learning_rate": 0.00042,
|
968 |
-
"loss": 1.8212,
|
969 |
-
"step": 800
|
970 |
-
},
|
971 |
-
{
|
972 |
-
"epoch": 0.81,
|
973 |
-
"learning_rate": 0.0004195,
|
974 |
-
"loss": 1.9073,
|
975 |
-
"step": 805
|
976 |
-
},
|
977 |
-
{
|
978 |
-
"epoch": 0.81,
|
979 |
-
"learning_rate": 0.000419,
|
980 |
-
"loss": 1.9267,
|
981 |
-
"step": 810
|
982 |
-
},
|
983 |
-
{
|
984 |
-
"epoch": 0.81,
|
985 |
-
"learning_rate": 0.0004185,
|
986 |
-
"loss": 1.8311,
|
987 |
-
"step": 815
|
988 |
-
},
|
989 |
-
{
|
990 |
-
"epoch": 0.82,
|
991 |
-
"learning_rate": 0.00041799999999999997,
|
992 |
-
"loss": 1.8537,
|
993 |
-
"step": 820
|
994 |
-
},
|
995 |
-
{
|
996 |
-
"epoch": 0.82,
|
997 |
-
"learning_rate": 0.0004175,
|
998 |
-
"loss": 1.8717,
|
999 |
-
"step": 825
|
1000 |
-
},
|
1001 |
-
{
|
1002 |
-
"epoch": 0.83,
|
1003 |
-
"learning_rate": 0.000417,
|
1004 |
-
"loss": 1.8241,
|
1005 |
-
"step": 830
|
1006 |
-
},
|
1007 |
-
{
|
1008 |
-
"epoch": 0.83,
|
1009 |
-
"learning_rate": 0.0004165,
|
1010 |
-
"loss": 1.8863,
|
1011 |
-
"step": 835
|
1012 |
-
},
|
1013 |
-
{
|
1014 |
-
"epoch": 0.84,
|
1015 |
-
"learning_rate": 0.000416,
|
1016 |
-
"loss": 1.9053,
|
1017 |
-
"step": 840
|
1018 |
-
},
|
1019 |
-
{
|
1020 |
-
"epoch": 0.84,
|
1021 |
-
"learning_rate": 0.00041549999999999996,
|
1022 |
-
"loss": 1.87,
|
1023 |
-
"step": 845
|
1024 |
-
},
|
1025 |
-
{
|
1026 |
-
"epoch": 0.85,
|
1027 |
-
"learning_rate": 0.000415,
|
1028 |
-
"loss": 1.837,
|
1029 |
-
"step": 850
|
1030 |
-
},
|
1031 |
-
{
|
1032 |
-
"epoch": 0.85,
|
1033 |
-
"learning_rate": 0.0004145,
|
1034 |
-
"loss": 1.8941,
|
1035 |
-
"step": 855
|
1036 |
-
},
|
1037 |
-
{
|
1038 |
-
"epoch": 0.86,
|
1039 |
-
"learning_rate": 0.000414,
|
1040 |
-
"loss": 1.9237,
|
1041 |
-
"step": 860
|
1042 |
-
},
|
1043 |
-
{
|
1044 |
-
"epoch": 0.86,
|
1045 |
-
"learning_rate": 0.00041349999999999997,
|
1046 |
-
"loss": 1.8854,
|
1047 |
-
"step": 865
|
1048 |
-
},
|
1049 |
-
{
|
1050 |
-
"epoch": 0.87,
|
1051 |
-
"learning_rate": 0.000413,
|
1052 |
-
"loss": 1.8401,
|
1053 |
-
"step": 870
|
1054 |
-
},
|
1055 |
-
{
|
1056 |
-
"epoch": 0.88,
|
1057 |
-
"learning_rate": 0.0004125,
|
1058 |
-
"loss": 1.8314,
|
1059 |
-
"step": 875
|
1060 |
-
},
|
1061 |
-
{
|
1062 |
-
"epoch": 0.88,
|
1063 |
-
"learning_rate": 0.000412,
|
1064 |
-
"loss": 1.858,
|
1065 |
-
"step": 880
|
1066 |
-
},
|
1067 |
-
{
|
1068 |
-
"epoch": 0.89,
|
1069 |
-
"learning_rate": 0.0004115,
|
1070 |
-
"loss": 1.8806,
|
1071 |
-
"step": 885
|
1072 |
-
},
|
1073 |
-
{
|
1074 |
-
"epoch": 0.89,
|
1075 |
-
"learning_rate": 0.00041099999999999996,
|
1076 |
-
"loss": 1.8244,
|
1077 |
-
"step": 890
|
1078 |
-
},
|
1079 |
-
{
|
1080 |
-
"epoch": 0.9,
|
1081 |
-
"learning_rate": 0.0004105,
|
1082 |
-
"loss": 1.8432,
|
1083 |
-
"step": 895
|
1084 |
-
},
|
1085 |
-
{
|
1086 |
-
"epoch": 0.9,
|
1087 |
-
"learning_rate": 0.00041,
|
1088 |
-
"loss": 1.8596,
|
1089 |
-
"step": 900
|
1090 |
-
},
|
1091 |
-
{
|
1092 |
-
"epoch": 0.91,
|
1093 |
-
"learning_rate": 0.0004095,
|
1094 |
-
"loss": 1.8276,
|
1095 |
-
"step": 905
|
1096 |
-
},
|
1097 |
-
{
|
1098 |
-
"epoch": 0.91,
|
1099 |
-
"learning_rate": 0.00040899999999999997,
|
1100 |
-
"loss": 1.9486,
|
1101 |
-
"step": 910
|
1102 |
-
},
|
1103 |
-
{
|
1104 |
-
"epoch": 0.92,
|
1105 |
-
"learning_rate": 0.0004085,
|
1106 |
-
"loss": 1.8382,
|
1107 |
-
"step": 915
|
1108 |
-
},
|
1109 |
-
{
|
1110 |
-
"epoch": 0.92,
|
1111 |
-
"learning_rate": 0.000408,
|
1112 |
-
"loss": 1.8735,
|
1113 |
-
"step": 920
|
1114 |
-
},
|
1115 |
-
{
|
1116 |
-
"epoch": 0.93,
|
1117 |
-
"learning_rate": 0.0004075,
|
1118 |
-
"loss": 1.8203,
|
1119 |
-
"step": 925
|
1120 |
-
},
|
1121 |
-
{
|
1122 |
-
"epoch": 0.93,
|
1123 |
-
"learning_rate": 0.00040699999999999997,
|
1124 |
-
"loss": 1.8045,
|
1125 |
-
"step": 930
|
1126 |
-
},
|
1127 |
-
{
|
1128 |
-
"epoch": 0.94,
|
1129 |
-
"learning_rate": 0.00040649999999999996,
|
1130 |
-
"loss": 1.8732,
|
1131 |
-
"step": 935
|
1132 |
-
},
|
1133 |
-
{
|
1134 |
-
"epoch": 0.94,
|
1135 |
-
"learning_rate": 0.00040600000000000006,
|
1136 |
-
"loss": 1.8032,
|
1137 |
-
"step": 940
|
1138 |
-
},
|
1139 |
-
{
|
1140 |
-
"epoch": 0.94,
|
1141 |
-
"learning_rate": 0.00040550000000000004,
|
1142 |
-
"loss": 1.8079,
|
1143 |
-
"step": 945
|
1144 |
-
},
|
1145 |
-
{
|
1146 |
-
"epoch": 0.95,
|
1147 |
-
"learning_rate": 0.00040500000000000003,
|
1148 |
-
"loss": 1.8855,
|
1149 |
-
"step": 950
|
1150 |
-
},
|
1151 |
-
{
|
1152 |
-
"epoch": 0.95,
|
1153 |
-
"learning_rate": 0.0004045,
|
1154 |
-
"loss": 1.8511,
|
1155 |
-
"step": 955
|
1156 |
-
},
|
1157 |
-
{
|
1158 |
-
"epoch": 0.96,
|
1159 |
-
"learning_rate": 0.000404,
|
1160 |
-
"loss": 1.8529,
|
1161 |
-
"step": 960
|
1162 |
-
},
|
1163 |
-
{
|
1164 |
-
"epoch": 0.96,
|
1165 |
-
"learning_rate": 0.00040350000000000005,
|
1166 |
-
"loss": 1.8482,
|
1167 |
-
"step": 965
|
1168 |
-
},
|
1169 |
-
{
|
1170 |
-
"epoch": 0.97,
|
1171 |
-
"learning_rate": 0.00040300000000000004,
|
1172 |
-
"loss": 1.8288,
|
1173 |
-
"step": 970
|
1174 |
-
},
|
1175 |
-
{
|
1176 |
-
"epoch": 0.97,
|
1177 |
-
"learning_rate": 0.0004025,
|
1178 |
-
"loss": 1.8781,
|
1179 |
-
"step": 975
|
1180 |
-
},
|
1181 |
-
{
|
1182 |
-
"epoch": 0.98,
|
1183 |
-
"learning_rate": 0.000402,
|
1184 |
-
"loss": 1.8458,
|
1185 |
-
"step": 980
|
1186 |
-
},
|
1187 |
-
{
|
1188 |
-
"epoch": 0.98,
|
1189 |
-
"learning_rate": 0.00040150000000000006,
|
1190 |
-
"loss": 1.8426,
|
1191 |
-
"step": 985
|
1192 |
-
},
|
1193 |
-
{
|
1194 |
-
"epoch": 0.99,
|
1195 |
-
"learning_rate": 0.00040100000000000004,
|
1196 |
-
"loss": 1.8517,
|
1197 |
-
"step": 990
|
1198 |
-
},
|
1199 |
-
{
|
1200 |
-
"epoch": 0.99,
|
1201 |
-
"learning_rate": 0.00040050000000000003,
|
1202 |
-
"loss": 1.8426,
|
1203 |
-
"step": 995
|
1204 |
-
},
|
1205 |
-
{
|
1206 |
-
"epoch": 1.0,
|
1207 |
-
"learning_rate": 0.0004,
|
1208 |
-
"loss": 1.7787,
|
1209 |
-
"step": 1000
|
1210 |
}
|
1211 |
],
|
1212 |
"logging_steps": 5,
|
1213 |
-
"max_steps":
|
1214 |
"num_input_tokens_seen": 0,
|
1215 |
-
"num_train_epochs":
|
1216 |
"save_steps": 500,
|
1217 |
-
"total_flos":
|
1218 |
"train_batch_size": 10,
|
1219 |
"trial_name": null,
|
1220 |
"trial_params": null
|
|
|
1 |
{
|
2 |
"best_metric": null,
|
3 |
"best_model_checkpoint": null,
|
4 |
+
"epoch": 0.5,
|
5 |
"eval_steps": 500,
|
6 |
+
"global_step": 500,
|
7 |
"is_hyper_param_search": false,
|
8 |
"is_local_process_zero": true,
|
9 |
"is_world_process_zero": true,
|
10 |
"log_history": [
|
11 |
{
|
12 |
"epoch": 0.01,
|
13 |
+
"learning_rate": 0.0004975,
|
14 |
+
"loss": 1.8757,
|
15 |
"step": 5
|
16 |
},
|
17 |
{
|
18 |
"epoch": 0.01,
|
19 |
+
"learning_rate": 0.000495,
|
20 |
+
"loss": 1.8758,
|
21 |
"step": 10
|
22 |
},
|
23 |
{
|
24 |
"epoch": 0.01,
|
25 |
+
"learning_rate": 0.0004925,
|
26 |
+
"loss": 1.9307,
|
27 |
"step": 15
|
28 |
},
|
29 |
{
|
30 |
"epoch": 0.02,
|
31 |
+
"learning_rate": 0.00049,
|
32 |
+
"loss": 1.9338,
|
33 |
"step": 20
|
34 |
},
|
35 |
{
|
36 |
"epoch": 0.03,
|
37 |
+
"learning_rate": 0.0004875,
|
38 |
+
"loss": 1.8599,
|
39 |
"step": 25
|
40 |
},
|
41 |
{
|
42 |
"epoch": 0.03,
|
43 |
+
"learning_rate": 0.00048499999999999997,
|
44 |
+
"loss": 1.9875,
|
45 |
"step": 30
|
46 |
},
|
47 |
{
|
48 |
"epoch": 0.04,
|
49 |
+
"learning_rate": 0.0004825,
|
50 |
+
"loss": 1.9947,
|
51 |
"step": 35
|
52 |
},
|
53 |
{
|
54 |
"epoch": 0.04,
|
55 |
+
"learning_rate": 0.00048,
|
56 |
+
"loss": 1.9015,
|
57 |
"step": 40
|
58 |
},
|
59 |
{
|
60 |
"epoch": 0.04,
|
61 |
+
"learning_rate": 0.0004775,
|
62 |
+
"loss": 1.8941,
|
63 |
"step": 45
|
64 |
},
|
65 |
{
|
66 |
"epoch": 0.05,
|
67 |
+
"learning_rate": 0.000475,
|
68 |
+
"loss": 1.8592,
|
69 |
"step": 50
|
70 |
},
|
71 |
{
|
72 |
"epoch": 0.06,
|
73 |
+
"learning_rate": 0.0004725,
|
74 |
+
"loss": 1.8977,
|
75 |
"step": 55
|
76 |
},
|
77 |
{
|
78 |
"epoch": 0.06,
|
79 |
+
"learning_rate": 0.00047,
|
80 |
+
"loss": 1.886,
|
81 |
"step": 60
|
82 |
},
|
83 |
{
|
84 |
"epoch": 0.07,
|
85 |
+
"learning_rate": 0.00046750000000000003,
|
86 |
+
"loss": 1.9486,
|
87 |
"step": 65
|
88 |
},
|
89 |
{
|
90 |
"epoch": 0.07,
|
91 |
+
"learning_rate": 0.000465,
|
92 |
+
"loss": 1.8669,
|
93 |
"step": 70
|
94 |
},
|
95 |
{
|
96 |
"epoch": 0.07,
|
97 |
+
"learning_rate": 0.0004625,
|
98 |
+
"loss": 1.936,
|
99 |
"step": 75
|
100 |
},
|
101 |
{
|
102 |
"epoch": 0.08,
|
103 |
+
"learning_rate": 0.00046,
|
104 |
+
"loss": 1.8385,
|
105 |
"step": 80
|
106 |
},
|
107 |
{
|
108 |
"epoch": 0.09,
|
109 |
+
"learning_rate": 0.0004575,
|
110 |
+
"loss": 1.8045,
|
111 |
"step": 85
|
112 |
},
|
113 |
{
|
114 |
"epoch": 0.09,
|
115 |
+
"learning_rate": 0.000455,
|
116 |
+
"loss": 1.9058,
|
117 |
"step": 90
|
118 |
},
|
119 |
{
|
120 |
"epoch": 0.1,
|
121 |
+
"learning_rate": 0.00045250000000000005,
|
122 |
+
"loss": 1.868,
|
123 |
"step": 95
|
124 |
},
|
125 |
{
|
126 |
"epoch": 0.1,
|
127 |
+
"learning_rate": 0.00045000000000000004,
|
128 |
+
"loss": 1.8055,
|
129 |
"step": 100
|
130 |
},
|
131 |
{
|
132 |
"epoch": 0.1,
|
133 |
+
"learning_rate": 0.00044750000000000004,
|
134 |
+
"loss": 1.849,
|
135 |
"step": 105
|
136 |
},
|
137 |
{
|
138 |
"epoch": 0.11,
|
139 |
+
"learning_rate": 0.00044500000000000003,
|
140 |
+
"loss": 1.869,
|
141 |
"step": 110
|
142 |
},
|
143 |
{
|
144 |
"epoch": 0.12,
|
145 |
+
"learning_rate": 0.0004425,
|
146 |
+
"loss": 1.8587,
|
147 |
"step": 115
|
148 |
},
|
149 |
{
|
150 |
"epoch": 0.12,
|
151 |
+
"learning_rate": 0.00044,
|
152 |
+
"loss": 1.9206,
|
153 |
"step": 120
|
154 |
},
|
155 |
{
|
156 |
"epoch": 0.12,
|
157 |
+
"learning_rate": 0.0004375,
|
158 |
+
"loss": 1.8406,
|
159 |
"step": 125
|
160 |
},
|
161 |
{
|
162 |
"epoch": 0.13,
|
163 |
+
"learning_rate": 0.000435,
|
164 |
+
"loss": 1.8721,
|
165 |
"step": 130
|
166 |
},
|
167 |
{
|
168 |
"epoch": 0.14,
|
169 |
+
"learning_rate": 0.0004325,
|
170 |
+
"loss": 1.9409,
|
171 |
"step": 135
|
172 |
},
|
173 |
{
|
174 |
"epoch": 0.14,
|
175 |
+
"learning_rate": 0.00043,
|
176 |
+
"loss": 1.9222,
|
177 |
"step": 140
|
178 |
},
|
179 |
{
|
180 |
"epoch": 0.14,
|
181 |
+
"learning_rate": 0.0004275,
|
182 |
+
"loss": 1.8705,
|
183 |
"step": 145
|
184 |
},
|
185 |
{
|
186 |
"epoch": 0.15,
|
187 |
+
"learning_rate": 0.000425,
|
188 |
+
"loss": 1.9348,
|
189 |
"step": 150
|
190 |
},
|
191 |
{
|
192 |
"epoch": 0.15,
|
193 |
+
"learning_rate": 0.00042249999999999997,
|
194 |
+
"loss": 1.8167,
|
195 |
"step": 155
|
196 |
},
|
197 |
{
|
198 |
"epoch": 0.16,
|
199 |
+
"learning_rate": 0.00042,
|
200 |
+
"loss": 1.8904,
|
201 |
"step": 160
|
202 |
},
|
203 |
{
|
204 |
"epoch": 0.17,
|
205 |
+
"learning_rate": 0.0004175,
|
206 |
+
"loss": 1.8545,
|
207 |
"step": 165
|
208 |
},
|
209 |
{
|
210 |
"epoch": 0.17,
|
211 |
+
"learning_rate": 0.000415,
|
212 |
+
"loss": 1.8448,
|
213 |
"step": 170
|
214 |
},
|
215 |
{
|
216 |
"epoch": 0.17,
|
217 |
+
"learning_rate": 0.0004125,
|
218 |
+
"loss": 1.8898,
|
219 |
"step": 175
|
220 |
},
|
221 |
{
|
222 |
"epoch": 0.18,
|
223 |
+
"learning_rate": 0.00041,
|
224 |
+
"loss": 1.8338,
|
225 |
"step": 180
|
226 |
},
|
227 |
{
|
228 |
"epoch": 0.18,
|
229 |
+
"learning_rate": 0.0004075,
|
230 |
+
"loss": 1.8246,
|
231 |
"step": 185
|
232 |
},
|
233 |
{
|
234 |
"epoch": 0.19,
|
235 |
+
"learning_rate": 0.00040500000000000003,
|
236 |
+
"loss": 1.8754,
|
237 |
"step": 190
|
238 |
},
|
239 |
{
|
240 |
"epoch": 0.2,
|
241 |
+
"learning_rate": 0.0004025,
|
242 |
+
"loss": 1.8603,
|
243 |
"step": 195
|
244 |
},
|
245 |
{
|
246 |
"epoch": 0.2,
|
247 |
+
"learning_rate": 0.0004,
|
248 |
+
"loss": 1.799,
|
249 |
"step": 200
|
250 |
},
|
251 |
{
|
252 |
"epoch": 0.2,
|
253 |
+
"learning_rate": 0.0003975,
|
254 |
+
"loss": 1.8652,
|
255 |
"step": 205
|
256 |
},
|
257 |
{
|
258 |
"epoch": 0.21,
|
259 |
+
"learning_rate": 0.000395,
|
260 |
+
"loss": 1.8406,
|
261 |
"step": 210
|
262 |
},
|
263 |
{
|
264 |
"epoch": 0.21,
|
265 |
+
"learning_rate": 0.0003925,
|
266 |
+
"loss": 1.8341,
|
267 |
"step": 215
|
268 |
},
|
269 |
{
|
270 |
"epoch": 0.22,
|
271 |
+
"learning_rate": 0.00039000000000000005,
|
272 |
+
"loss": 1.9399,
|
273 |
"step": 220
|
274 |
},
|
275 |
{
|
276 |
"epoch": 0.23,
|
277 |
+
"learning_rate": 0.00038750000000000004,
|
278 |
+
"loss": 1.8095,
|
279 |
"step": 225
|
280 |
},
|
281 |
{
|
282 |
"epoch": 0.23,
|
283 |
+
"learning_rate": 0.00038500000000000003,
|
284 |
+
"loss": 1.8286,
|
285 |
"step": 230
|
286 |
},
|
287 |
{
|
288 |
"epoch": 0.23,
|
289 |
+
"learning_rate": 0.00038250000000000003,
|
290 |
+
"loss": 1.8846,
|
291 |
"step": 235
|
292 |
},
|
293 |
{
|
294 |
"epoch": 0.24,
|
295 |
+
"learning_rate": 0.00038,
|
296 |
+
"loss": 1.8101,
|
297 |
"step": 240
|
298 |
},
|
299 |
{
|
300 |
"epoch": 0.24,
|
301 |
+
"learning_rate": 0.0003775,
|
302 |
+
"loss": 1.8791,
|
303 |
"step": 245
|
304 |
},
|
305 |
{
|
306 |
"epoch": 0.25,
|
307 |
+
"learning_rate": 0.000375,
|
308 |
+
"loss": 1.8181,
|
309 |
"step": 250
|
310 |
},
|
311 |
{
|
312 |
"epoch": 0.26,
|
313 |
+
"learning_rate": 0.0003725,
|
314 |
+
"loss": 1.8555,
|
315 |
"step": 255
|
316 |
},
|
317 |
{
|
318 |
"epoch": 0.26,
|
319 |
+
"learning_rate": 0.00037,
|
320 |
+
"loss": 1.8328,
|
321 |
"step": 260
|
322 |
},
|
323 |
{
|
324 |
"epoch": 0.27,
|
325 |
+
"learning_rate": 0.0003675,
|
326 |
+
"loss": 1.814,
|
327 |
"step": 265
|
328 |
},
|
329 |
{
|
330 |
"epoch": 0.27,
|
331 |
+
"learning_rate": 0.000365,
|
332 |
+
"loss": 1.8647,
|
333 |
"step": 270
|
334 |
},
|
335 |
{
|
336 |
"epoch": 0.28,
|
337 |
+
"learning_rate": 0.0003625,
|
338 |
+
"loss": 1.8754,
|
339 |
"step": 275
|
340 |
},
|
341 |
{
|
342 |
"epoch": 0.28,
|
343 |
+
"learning_rate": 0.00035999999999999997,
|
344 |
+
"loss": 1.8184,
|
345 |
"step": 280
|
346 |
},
|
347 |
{
|
348 |
"epoch": 0.28,
|
349 |
+
"learning_rate": 0.0003575,
|
350 |
+
"loss": 1.8879,
|
351 |
"step": 285
|
352 |
},
|
353 |
{
|
354 |
"epoch": 0.29,
|
355 |
+
"learning_rate": 0.000355,
|
356 |
+
"loss": 1.8329,
|
357 |
"step": 290
|
358 |
},
|
359 |
{
|
360 |
"epoch": 0.29,
|
361 |
+
"learning_rate": 0.0003525,
|
362 |
+
"loss": 1.7787,
|
363 |
"step": 295
|
364 |
},
|
365 |
{
|
366 |
"epoch": 0.3,
|
367 |
+
"learning_rate": 0.00035,
|
368 |
+
"loss": 1.7543,
|
369 |
"step": 300
|
370 |
},
|
371 |
{
|
372 |
"epoch": 0.3,
|
373 |
+
"learning_rate": 0.0003475,
|
374 |
+
"loss": 1.7782,
|
375 |
"step": 305
|
376 |
},
|
377 |
{
|
378 |
"epoch": 0.31,
|
379 |
+
"learning_rate": 0.000345,
|
380 |
+
"loss": 1.8857,
|
381 |
"step": 310
|
382 |
},
|
383 |
{
|
384 |
"epoch": 0.32,
|
385 |
+
"learning_rate": 0.00034250000000000003,
|
386 |
+
"loss": 1.7608,
|
387 |
"step": 315
|
388 |
},
|
389 |
{
|
390 |
"epoch": 0.32,
|
391 |
+
"learning_rate": 0.00034,
|
392 |
+
"loss": 1.8622,
|
393 |
"step": 320
|
394 |
},
|
395 |
{
|
396 |
"epoch": 0.33,
|
397 |
+
"learning_rate": 0.0003375,
|
398 |
+
"loss": 1.7055,
|
399 |
"step": 325
|
400 |
},
|
401 |
{
|
402 |
"epoch": 0.33,
|
403 |
+
"learning_rate": 0.000335,
|
404 |
+
"loss": 1.7356,
|
405 |
"step": 330
|
406 |
},
|
407 |
{
|
408 |
"epoch": 0.34,
|
409 |
+
"learning_rate": 0.0003325,
|
410 |
+
"loss": 1.8353,
|
411 |
"step": 335
|
412 |
},
|
413 |
{
|
414 |
"epoch": 0.34,
|
415 |
+
"learning_rate": 0.00033,
|
416 |
+
"loss": 1.7389,
|
417 |
"step": 340
|
418 |
},
|
419 |
{
|
420 |
"epoch": 0.34,
|
421 |
+
"learning_rate": 0.00032750000000000005,
|
422 |
+
"loss": 1.8115,
|
423 |
"step": 345
|
424 |
},
|
425 |
{
|
426 |
"epoch": 0.35,
|
427 |
+
"learning_rate": 0.00032500000000000004,
|
428 |
+
"loss": 1.7303,
|
429 |
"step": 350
|
430 |
},
|
431 |
{
|
432 |
"epoch": 0.35,
|
433 |
+
"learning_rate": 0.00032250000000000003,
|
434 |
+
"loss": 1.7603,
|
435 |
"step": 355
|
436 |
},
|
437 |
{
|
438 |
"epoch": 0.36,
|
439 |
+
"learning_rate": 0.00032,
|
440 |
+
"loss": 1.7925,
|
441 |
"step": 360
|
442 |
},
|
443 |
{
|
444 |
"epoch": 0.36,
|
445 |
+
"learning_rate": 0.0003175,
|
446 |
+
"loss": 1.806,
|
447 |
"step": 365
|
448 |
},
|
449 |
{
|
450 |
"epoch": 0.37,
|
451 |
+
"learning_rate": 0.000315,
|
452 |
+
"loss": 1.8047,
|
453 |
"step": 370
|
454 |
},
|
455 |
{
|
456 |
"epoch": 0.38,
|
457 |
+
"learning_rate": 0.0003125,
|
458 |
+
"loss": 1.7939,
|
459 |
"step": 375
|
460 |
},
|
461 |
{
|
462 |
"epoch": 0.38,
|
463 |
+
"learning_rate": 0.00031,
|
464 |
+
"loss": 1.7539,
|
465 |
"step": 380
|
466 |
},
|
467 |
{
|
468 |
"epoch": 0.39,
|
469 |
+
"learning_rate": 0.0003075,
|
470 |
+
"loss": 1.7817,
|
471 |
"step": 385
|
472 |
},
|
473 |
{
|
474 |
"epoch": 0.39,
|
475 |
+
"learning_rate": 0.000305,
|
476 |
+
"loss": 1.7652,
|
477 |
"step": 390
|
478 |
},
|
479 |
{
|
480 |
"epoch": 0.4,
|
481 |
+
"learning_rate": 0.0003025,
|
482 |
+
"loss": 1.757,
|
483 |
"step": 395
|
484 |
},
|
485 |
{
|
486 |
"epoch": 0.4,
|
487 |
+
"learning_rate": 0.0003,
|
488 |
+
"loss": 1.7845,
|
489 |
"step": 400
|
490 |
},
|
491 |
{
|
492 |
"epoch": 0.41,
|
493 |
+
"learning_rate": 0.00029749999999999997,
|
494 |
+
"loss": 1.7701,
|
495 |
"step": 405
|
496 |
},
|
497 |
{
|
498 |
"epoch": 0.41,
|
499 |
+
"learning_rate": 0.000295,
|
500 |
+
"loss": 1.7759,
|
501 |
"step": 410
|
502 |
},
|
503 |
{
|
504 |
"epoch": 0.41,
|
505 |
+
"learning_rate": 0.0002925,
|
506 |
+
"loss": 1.697,
|
507 |
"step": 415
|
508 |
},
|
509 |
{
|
510 |
"epoch": 0.42,
|
511 |
+
"learning_rate": 0.00029,
|
512 |
+
"loss": 1.7623,
|
513 |
"step": 420
|
514 |
},
|
515 |
{
|
516 |
"epoch": 0.42,
|
517 |
+
"learning_rate": 0.0002875,
|
518 |
+
"loss": 1.7926,
|
519 |
"step": 425
|
520 |
},
|
521 |
{
|
522 |
"epoch": 0.43,
|
523 |
+
"learning_rate": 0.000285,
|
524 |
+
"loss": 1.8367,
|
525 |
"step": 430
|
526 |
},
|
527 |
{
|
528 |
"epoch": 0.43,
|
529 |
+
"learning_rate": 0.0002825,
|
530 |
+
"loss": 1.764,
|
531 |
"step": 435
|
532 |
},
|
533 |
{
|
534 |
"epoch": 0.44,
|
535 |
+
"learning_rate": 0.00028000000000000003,
|
536 |
+
"loss": 1.7322,
|
537 |
"step": 440
|
538 |
},
|
539 |
{
|
540 |
"epoch": 0.45,
|
541 |
+
"learning_rate": 0.0002775,
|
542 |
+
"loss": 1.7723,
|
543 |
"step": 445
|
544 |
},
|
545 |
{
|
546 |
"epoch": 0.45,
|
547 |
+
"learning_rate": 0.000275,
|
548 |
+
"loss": 1.7971,
|
549 |
"step": 450
|
550 |
},
|
551 |
{
|
552 |
"epoch": 0.46,
|
553 |
+
"learning_rate": 0.0002725,
|
554 |
+
"loss": 1.7938,
|
555 |
"step": 455
|
556 |
},
|
557 |
{
|
558 |
"epoch": 0.46,
|
559 |
+
"learning_rate": 0.00027,
|
560 |
+
"loss": 1.8143,
|
561 |
"step": 460
|
562 |
},
|
563 |
{
|
564 |
"epoch": 0.47,
|
565 |
+
"learning_rate": 0.0002675,
|
566 |
+
"loss": 1.735,
|
567 |
"step": 465
|
568 |
},
|
569 |
{
|
570 |
"epoch": 0.47,
|
571 |
+
"learning_rate": 0.00026500000000000004,
|
572 |
+
"loss": 1.7571,
|
573 |
"step": 470
|
574 |
},
|
575 |
{
|
576 |
"epoch": 0.47,
|
577 |
+
"learning_rate": 0.00026250000000000004,
|
578 |
+
"loss": 1.7636,
|
579 |
"step": 475
|
580 |
},
|
581 |
{
|
582 |
"epoch": 0.48,
|
583 |
+
"learning_rate": 0.00026000000000000003,
|
584 |
+
"loss": 1.7344,
|
585 |
"step": 480
|
586 |
},
|
587 |
{
|
588 |
"epoch": 0.48,
|
589 |
+
"learning_rate": 0.0002575,
|
590 |
+
"loss": 1.7156,
|
591 |
"step": 485
|
592 |
},
|
593 |
{
|
594 |
"epoch": 0.49,
|
595 |
+
"learning_rate": 0.000255,
|
596 |
+
"loss": 1.6996,
|
597 |
"step": 490
|
598 |
},
|
599 |
{
|
600 |
"epoch": 0.49,
|
601 |
+
"learning_rate": 0.0002525,
|
602 |
+
"loss": 1.7917,
|
603 |
"step": 495
|
604 |
},
|
605 |
{
|
606 |
"epoch": 0.5,
|
607 |
+
"learning_rate": 0.00025,
|
608 |
+
"loss": 1.7578,
|
609 |
"step": 500
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
610 |
}
|
611 |
],
|
612 |
"logging_steps": 5,
|
613 |
+
"max_steps": 1000,
|
614 |
"num_input_tokens_seen": 0,
|
615 |
+
"num_train_epochs": 1,
|
616 |
"save_steps": 500,
|
617 |
+
"total_flos": 1.31426122150656e+16,
|
618 |
"train_batch_size": 10,
|
619 |
"trial_name": null,
|
620 |
"trial_params": null
|
training_args.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 4728
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:85272a8d5fb6a062784ff0b0596d3e93eb82123aa8a88168a5a2c485a228cfef
|
3 |
size 4728
|