Upload folder using huggingface_hub
Browse files- adapter_config.json +2 -2
- adapter_model.safetensors +1 -1
- checkpoint-1050/adapter_config.json +2 -2
- checkpoint-1050/adapter_model.safetensors +1 -1
- checkpoint-1050/optimizer.pt +1 -1
- checkpoint-1050/rng_state.pth +1 -1
- checkpoint-1050/scheduler.pt +1 -1
- checkpoint-1050/trainer_state.json +327 -327
- checkpoint-1050/training_args.bin +1 -1
- checkpoint-350/adapter_config.json +2 -2
- checkpoint-350/adapter_model.safetensors +1 -1
- checkpoint-350/optimizer.pt +1 -1
- checkpoint-350/rng_state.pth +1 -1
- checkpoint-350/scheduler.pt +1 -1
- checkpoint-350/trainer_state.json +110 -110
- checkpoint-350/training_args.bin +1 -1
- checkpoint-700/adapter_config.json +2 -2
- checkpoint-700/adapter_model.safetensors +1 -1
- checkpoint-700/optimizer.pt +1 -1
- checkpoint-700/rng_state.pth +1 -1
- checkpoint-700/scheduler.pt +1 -1
- checkpoint-700/trainer_state.json +219 -219
- checkpoint-700/training_args.bin +1 -1
- training_args.bin +1 -1
adapter_config.json
CHANGED
@@ -20,8 +20,8 @@
|
|
20 |
"rank_pattern": {},
|
21 |
"revision": null,
|
22 |
"target_modules": [
|
23 |
-
"
|
24 |
-
"
|
25 |
],
|
26 |
"task_type": "CAUSAL_LM",
|
27 |
"use_dora": false,
|
|
|
20 |
"rank_pattern": {},
|
21 |
"revision": null,
|
22 |
"target_modules": [
|
23 |
+
"v_proj",
|
24 |
+
"q_proj"
|
25 |
],
|
26 |
"task_type": "CAUSAL_LM",
|
27 |
"use_dora": false,
|
adapter_model.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 3416264
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:0346bf3d1823e89b4797054ab8629cb0ecb7942156d4832bce2f4d073b71f201
|
3 |
size 3416264
|
checkpoint-1050/adapter_config.json
CHANGED
@@ -20,8 +20,8 @@
|
|
20 |
"rank_pattern": {},
|
21 |
"revision": null,
|
22 |
"target_modules": [
|
23 |
-
"
|
24 |
-
"
|
25 |
],
|
26 |
"task_type": "CAUSAL_LM",
|
27 |
"use_dora": false,
|
|
|
20 |
"rank_pattern": {},
|
21 |
"revision": null,
|
22 |
"target_modules": [
|
23 |
+
"v_proj",
|
24 |
+
"q_proj"
|
25 |
],
|
26 |
"task_type": "CAUSAL_LM",
|
27 |
"use_dora": false,
|
checkpoint-1050/adapter_model.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 3416264
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:0346bf3d1823e89b4797054ab8629cb0ecb7942156d4832bce2f4d073b71f201
|
3 |
size 3416264
|
checkpoint-1050/optimizer.pt
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 6869818
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:65c69ad74e25d4540bbfeb36ef99adc29f6a5f11187f375b6dcf335632f9bf77
|
3 |
size 6869818
|
checkpoint-1050/rng_state.pth
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 14244
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:c7358d9c30f2639fd60afd346acbf92ecea749dafe0ff584e147ba759751f266
|
3 |
size 14244
|
checkpoint-1050/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 sha256:3dd067d46d8bf3a73453265c0d5998bca08a0fa082902b0c1a537936aedcddc6
|
3 |
size 1064
|
checkpoint-1050/trainer_state.json
CHANGED
@@ -10,761 +10,761 @@
|
|
10 |
"log_history": [
|
11 |
{
|
12 |
"epoch": 0.02857142857142857,
|
13 |
-
"grad_norm":
|
14 |
-
"learning_rate":
|
15 |
-
"loss":
|
16 |
"step": 10
|
17 |
},
|
18 |
{
|
19 |
"epoch": 0.05714285714285714,
|
20 |
-
"grad_norm":
|
21 |
-
"learning_rate":
|
22 |
-
"loss":
|
23 |
"step": 20
|
24 |
},
|
25 |
{
|
26 |
"epoch": 0.08571428571428572,
|
27 |
-
"grad_norm":
|
28 |
-
"learning_rate":
|
29 |
-
"loss":
|
30 |
"step": 30
|
31 |
},
|
32 |
{
|
33 |
"epoch": 0.11428571428571428,
|
34 |
-
"grad_norm":
|
35 |
-
"learning_rate":
|
36 |
-
"loss":
|
37 |
"step": 40
|
38 |
},
|
39 |
{
|
40 |
"epoch": 0.14285714285714285,
|
41 |
-
"grad_norm":
|
42 |
-
"learning_rate":
|
43 |
-
"loss":
|
44 |
"step": 50
|
45 |
},
|
46 |
{
|
47 |
"epoch": 0.17142857142857143,
|
48 |
-
"grad_norm": 5.
|
49 |
-
"learning_rate":
|
50 |
-
"loss": 1.
|
51 |
"step": 60
|
52 |
},
|
53 |
{
|
54 |
"epoch": 0.2,
|
55 |
-
"grad_norm":
|
56 |
-
"learning_rate":
|
57 |
-
"loss": 1.
|
58 |
"step": 70
|
59 |
},
|
60 |
{
|
61 |
"epoch": 0.22857142857142856,
|
62 |
-
"grad_norm":
|
63 |
-
"learning_rate":
|
64 |
-
"loss": 1.
|
65 |
"step": 80
|
66 |
},
|
67 |
{
|
68 |
"epoch": 0.2571428571428571,
|
69 |
-
"grad_norm":
|
70 |
-
"learning_rate":
|
71 |
-
"loss": 1.
|
72 |
"step": 90
|
73 |
},
|
74 |
{
|
75 |
"epoch": 0.2857142857142857,
|
76 |
-
"grad_norm": 7.
|
77 |
-
"learning_rate":
|
78 |
-
"loss": 1.
|
79 |
"step": 100
|
80 |
},
|
81 |
{
|
82 |
"epoch": 0.3142857142857143,
|
83 |
-
"grad_norm":
|
84 |
-
"learning_rate":
|
85 |
-
"loss": 1.
|
86 |
"step": 110
|
87 |
},
|
88 |
{
|
89 |
"epoch": 0.34285714285714286,
|
90 |
-
"grad_norm":
|
91 |
-
"learning_rate":
|
92 |
-
"loss": 1.
|
93 |
"step": 120
|
94 |
},
|
95 |
{
|
96 |
"epoch": 0.37142857142857144,
|
97 |
-
"grad_norm":
|
98 |
-
"learning_rate":
|
99 |
-
"loss": 1.
|
100 |
"step": 130
|
101 |
},
|
102 |
{
|
103 |
"epoch": 0.4,
|
104 |
-
"grad_norm":
|
105 |
-
"learning_rate":
|
106 |
-
"loss": 1.
|
107 |
"step": 140
|
108 |
},
|
109 |
{
|
110 |
"epoch": 0.42857142857142855,
|
111 |
-
"grad_norm":
|
112 |
-
"learning_rate":
|
113 |
-
"loss": 1.
|
114 |
"step": 150
|
115 |
},
|
116 |
{
|
117 |
"epoch": 0.45714285714285713,
|
118 |
-
"grad_norm":
|
119 |
-
"learning_rate":
|
120 |
-
"loss": 1.
|
121 |
"step": 160
|
122 |
},
|
123 |
{
|
124 |
"epoch": 0.4857142857142857,
|
125 |
-
"grad_norm":
|
126 |
-
"learning_rate":
|
127 |
-
"loss": 1.
|
128 |
"step": 170
|
129 |
},
|
130 |
{
|
131 |
"epoch": 0.5142857142857142,
|
132 |
-
"grad_norm":
|
133 |
-
"learning_rate":
|
134 |
-
"loss": 1.
|
135 |
"step": 180
|
136 |
},
|
137 |
{
|
138 |
"epoch": 0.5428571428571428,
|
139 |
-
"grad_norm":
|
140 |
-
"learning_rate":
|
141 |
-
"loss": 1.
|
142 |
"step": 190
|
143 |
},
|
144 |
{
|
145 |
"epoch": 0.5714285714285714,
|
146 |
-
"grad_norm":
|
147 |
-
"learning_rate":
|
148 |
-
"loss": 1.
|
149 |
"step": 200
|
150 |
},
|
151 |
{
|
152 |
"epoch": 0.6,
|
153 |
-
"grad_norm":
|
154 |
-
"learning_rate":
|
155 |
-
"loss": 1.
|
156 |
"step": 210
|
157 |
},
|
158 |
{
|
159 |
"epoch": 0.6285714285714286,
|
160 |
-
"grad_norm":
|
161 |
-
"learning_rate":
|
162 |
-
"loss": 1.
|
163 |
"step": 220
|
164 |
},
|
165 |
{
|
166 |
"epoch": 0.6571428571428571,
|
167 |
-
"grad_norm":
|
168 |
-
"learning_rate":
|
169 |
-
"loss": 1.
|
170 |
"step": 230
|
171 |
},
|
172 |
{
|
173 |
"epoch": 0.6857142857142857,
|
174 |
-
"grad_norm":
|
175 |
-
"learning_rate":
|
176 |
-
"loss": 1.
|
177 |
"step": 240
|
178 |
},
|
179 |
{
|
180 |
"epoch": 0.7142857142857143,
|
181 |
-
"grad_norm":
|
182 |
-
"learning_rate":
|
183 |
-
"loss": 1.
|
184 |
"step": 250
|
185 |
},
|
186 |
{
|
187 |
"epoch": 0.7428571428571429,
|
188 |
-
"grad_norm":
|
189 |
-
"learning_rate":
|
190 |
-
"loss": 1.
|
191 |
"step": 260
|
192 |
},
|
193 |
{
|
194 |
"epoch": 0.7714285714285715,
|
195 |
-
"grad_norm":
|
196 |
-
"learning_rate":
|
197 |
-
"loss": 1.
|
198 |
"step": 270
|
199 |
},
|
200 |
{
|
201 |
"epoch": 0.8,
|
202 |
-
"grad_norm":
|
203 |
-
"learning_rate":
|
204 |
-
"loss": 1.
|
205 |
"step": 280
|
206 |
},
|
207 |
{
|
208 |
"epoch": 0.8285714285714286,
|
209 |
-
"grad_norm":
|
210 |
-
"learning_rate":
|
211 |
-
"loss": 1.
|
212 |
"step": 290
|
213 |
},
|
214 |
{
|
215 |
"epoch": 0.8571428571428571,
|
216 |
-
"grad_norm":
|
217 |
-
"learning_rate":
|
218 |
-
"loss": 1.
|
219 |
"step": 300
|
220 |
},
|
221 |
{
|
222 |
"epoch": 0.8857142857142857,
|
223 |
-
"grad_norm":
|
224 |
-
"learning_rate":
|
225 |
-
"loss": 1.
|
226 |
"step": 310
|
227 |
},
|
228 |
{
|
229 |
"epoch": 0.9142857142857143,
|
230 |
-
"grad_norm":
|
231 |
-
"learning_rate":
|
232 |
-
"loss": 1.
|
233 |
"step": 320
|
234 |
},
|
235 |
{
|
236 |
"epoch": 0.9428571428571428,
|
237 |
-
"grad_norm":
|
238 |
-
"learning_rate":
|
239 |
-
"loss": 1.
|
240 |
"step": 330
|
241 |
},
|
242 |
{
|
243 |
"epoch": 0.9714285714285714,
|
244 |
-
"grad_norm":
|
245 |
-
"learning_rate":
|
246 |
-
"loss": 1.
|
247 |
"step": 340
|
248 |
},
|
249 |
{
|
250 |
"epoch": 1.0,
|
251 |
-
"grad_norm":
|
252 |
-
"learning_rate":
|
253 |
-
"loss": 1.
|
254 |
"step": 350
|
255 |
},
|
256 |
{
|
257 |
"epoch": 1.0,
|
258 |
-
"eval_loss": 1.
|
259 |
-
"eval_runtime": 16.
|
260 |
-
"eval_samples_per_second": 12.
|
261 |
-
"eval_steps_per_second": 1.
|
262 |
"step": 350
|
263 |
},
|
264 |
{
|
265 |
"epoch": 1.0285714285714285,
|
266 |
-
"grad_norm":
|
267 |
-
"learning_rate":
|
268 |
-
"loss": 1.
|
269 |
"step": 360
|
270 |
},
|
271 |
{
|
272 |
"epoch": 1.0571428571428572,
|
273 |
-
"grad_norm":
|
274 |
-
"learning_rate":
|
275 |
-
"loss": 1.
|
276 |
"step": 370
|
277 |
},
|
278 |
{
|
279 |
"epoch": 1.0857142857142856,
|
280 |
-
"grad_norm":
|
281 |
-
"learning_rate":
|
282 |
-
"loss": 1.
|
283 |
"step": 380
|
284 |
},
|
285 |
{
|
286 |
"epoch": 1.1142857142857143,
|
287 |
-
"grad_norm":
|
288 |
-
"learning_rate":
|
289 |
-
"loss": 1.
|
290 |
"step": 390
|
291 |
},
|
292 |
{
|
293 |
"epoch": 1.1428571428571428,
|
294 |
-
"grad_norm":
|
295 |
-
"learning_rate":
|
296 |
-
"loss": 1.
|
297 |
"step": 400
|
298 |
},
|
299 |
{
|
300 |
"epoch": 1.1714285714285715,
|
301 |
-
"grad_norm":
|
302 |
-
"learning_rate":
|
303 |
-
"loss": 1.
|
304 |
"step": 410
|
305 |
},
|
306 |
{
|
307 |
"epoch": 1.2,
|
308 |
-
"grad_norm":
|
309 |
-
"learning_rate":
|
310 |
-
"loss": 1.
|
311 |
"step": 420
|
312 |
},
|
313 |
{
|
314 |
"epoch": 1.2285714285714286,
|
315 |
-
"grad_norm":
|
316 |
-
"learning_rate":
|
317 |
-
"loss": 1.
|
318 |
"step": 430
|
319 |
},
|
320 |
{
|
321 |
"epoch": 1.2571428571428571,
|
322 |
-
"grad_norm":
|
323 |
-
"learning_rate":
|
324 |
-
"loss":
|
325 |
"step": 440
|
326 |
},
|
327 |
{
|
328 |
"epoch": 1.2857142857142856,
|
329 |
-
"grad_norm":
|
330 |
-
"learning_rate":
|
331 |
-
"loss": 1.
|
332 |
"step": 450
|
333 |
},
|
334 |
{
|
335 |
"epoch": 1.3142857142857143,
|
336 |
-
"grad_norm":
|
337 |
-
"learning_rate":
|
338 |
-
"loss": 1.
|
339 |
"step": 460
|
340 |
},
|
341 |
{
|
342 |
"epoch": 1.342857142857143,
|
343 |
-
"grad_norm":
|
344 |
-
"learning_rate":
|
345 |
-
"loss": 1.
|
346 |
"step": 470
|
347 |
},
|
348 |
{
|
349 |
"epoch": 1.3714285714285714,
|
350 |
-
"grad_norm":
|
351 |
-
"learning_rate":
|
352 |
-
"loss": 1.
|
353 |
"step": 480
|
354 |
},
|
355 |
{
|
356 |
"epoch": 1.4,
|
357 |
-
"grad_norm":
|
358 |
-
"learning_rate":
|
359 |
-
"loss": 1.
|
360 |
"step": 490
|
361 |
},
|
362 |
{
|
363 |
"epoch": 1.4285714285714286,
|
364 |
-
"grad_norm":
|
365 |
-
"learning_rate":
|
366 |
-
"loss":
|
367 |
"step": 500
|
368 |
},
|
369 |
{
|
370 |
"epoch": 1.457142857142857,
|
371 |
-
"grad_norm":
|
372 |
-
"learning_rate":
|
373 |
-
"loss":
|
374 |
"step": 510
|
375 |
},
|
376 |
{
|
377 |
"epoch": 1.4857142857142858,
|
378 |
-
"grad_norm":
|
379 |
-
"learning_rate":
|
380 |
-
"loss":
|
381 |
"step": 520
|
382 |
},
|
383 |
{
|
384 |
"epoch": 1.5142857142857142,
|
385 |
-
"grad_norm":
|
386 |
-
"learning_rate":
|
387 |
-
"loss":
|
388 |
"step": 530
|
389 |
},
|
390 |
{
|
391 |
"epoch": 1.5428571428571427,
|
392 |
-
"grad_norm":
|
393 |
-
"learning_rate":
|
394 |
-
"loss": 1.
|
395 |
"step": 540
|
396 |
},
|
397 |
{
|
398 |
"epoch": 1.5714285714285714,
|
399 |
-
"grad_norm":
|
400 |
-
"learning_rate":
|
401 |
-
"loss":
|
402 |
"step": 550
|
403 |
},
|
404 |
{
|
405 |
"epoch": 1.6,
|
406 |
-
"grad_norm":
|
407 |
-
"learning_rate":
|
408 |
-
"loss": 1.
|
409 |
"step": 560
|
410 |
},
|
411 |
{
|
412 |
"epoch": 1.6285714285714286,
|
413 |
-
"grad_norm":
|
414 |
-
"learning_rate":
|
415 |
-
"loss": 1.
|
416 |
"step": 570
|
417 |
},
|
418 |
{
|
419 |
"epoch": 1.657142857142857,
|
420 |
-
"grad_norm":
|
421 |
-
"learning_rate":
|
422 |
-
"loss":
|
423 |
"step": 580
|
424 |
},
|
425 |
{
|
426 |
"epoch": 1.6857142857142857,
|
427 |
-
"grad_norm":
|
428 |
-
"learning_rate":
|
429 |
-
"loss": 1.
|
430 |
"step": 590
|
431 |
},
|
432 |
{
|
433 |
"epoch": 1.7142857142857144,
|
434 |
-
"grad_norm":
|
435 |
-
"learning_rate":
|
436 |
-
"loss":
|
437 |
"step": 600
|
438 |
},
|
439 |
{
|
440 |
"epoch": 1.7428571428571429,
|
441 |
-
"grad_norm":
|
442 |
-
"learning_rate":
|
443 |
-
"loss":
|
444 |
"step": 610
|
445 |
},
|
446 |
{
|
447 |
"epoch": 1.7714285714285714,
|
448 |
-
"grad_norm":
|
449 |
-
"learning_rate":
|
450 |
-
"loss":
|
451 |
"step": 620
|
452 |
},
|
453 |
{
|
454 |
"epoch": 1.8,
|
455 |
-
"grad_norm":
|
456 |
-
"learning_rate":
|
457 |
-
"loss": 1.
|
458 |
"step": 630
|
459 |
},
|
460 |
{
|
461 |
"epoch": 1.8285714285714287,
|
462 |
-
"grad_norm":
|
463 |
-
"learning_rate":
|
464 |
-
"loss": 1.
|
465 |
"step": 640
|
466 |
},
|
467 |
{
|
468 |
"epoch": 1.8571428571428572,
|
469 |
-
"grad_norm":
|
470 |
-
"learning_rate":
|
471 |
-
"loss":
|
472 |
"step": 650
|
473 |
},
|
474 |
{
|
475 |
"epoch": 1.8857142857142857,
|
476 |
-
"grad_norm":
|
477 |
-
"learning_rate":
|
478 |
-
"loss":
|
479 |
"step": 660
|
480 |
},
|
481 |
{
|
482 |
"epoch": 1.9142857142857141,
|
483 |
-
"grad_norm":
|
484 |
-
"learning_rate":
|
485 |
-
"loss":
|
486 |
"step": 670
|
487 |
},
|
488 |
{
|
489 |
"epoch": 1.9428571428571428,
|
490 |
-
"grad_norm":
|
491 |
-
"learning_rate":
|
492 |
-
"loss":
|
493 |
"step": 680
|
494 |
},
|
495 |
{
|
496 |
"epoch": 1.9714285714285715,
|
497 |
-
"grad_norm":
|
498 |
-
"learning_rate":
|
499 |
-
"loss":
|
500 |
"step": 690
|
501 |
},
|
502 |
{
|
503 |
"epoch": 2.0,
|
504 |
-
"grad_norm":
|
505 |
-
"learning_rate":
|
506 |
-
"loss":
|
507 |
"step": 700
|
508 |
},
|
509 |
{
|
510 |
"epoch": 2.0,
|
511 |
-
"eval_loss":
|
512 |
-
"eval_runtime": 16.
|
513 |
-
"eval_samples_per_second": 12.
|
514 |
-
"eval_steps_per_second": 1.
|
515 |
"step": 700
|
516 |
},
|
517 |
{
|
518 |
"epoch": 2.0285714285714285,
|
519 |
-
"grad_norm":
|
520 |
-
"learning_rate":
|
521 |
-
"loss":
|
522 |
"step": 710
|
523 |
},
|
524 |
{
|
525 |
"epoch": 2.057142857142857,
|
526 |
-
"grad_norm":
|
527 |
-
"learning_rate":
|
528 |
-
"loss":
|
529 |
"step": 720
|
530 |
},
|
531 |
{
|
532 |
"epoch": 2.085714285714286,
|
533 |
-
"grad_norm":
|
534 |
-
"learning_rate":
|
535 |
-
"loss":
|
536 |
"step": 730
|
537 |
},
|
538 |
{
|
539 |
"epoch": 2.1142857142857143,
|
540 |
-
"grad_norm":
|
541 |
-
"learning_rate":
|
542 |
-
"loss":
|
543 |
"step": 740
|
544 |
},
|
545 |
{
|
546 |
"epoch": 2.142857142857143,
|
547 |
-
"grad_norm":
|
548 |
-
"learning_rate":
|
549 |
-
"loss": 1.
|
550 |
"step": 750
|
551 |
},
|
552 |
{
|
553 |
"epoch": 2.1714285714285713,
|
554 |
-
"grad_norm":
|
555 |
-
"learning_rate":
|
556 |
-
"loss":
|
557 |
"step": 760
|
558 |
},
|
559 |
{
|
560 |
"epoch": 2.2,
|
561 |
-
"grad_norm":
|
562 |
-
"learning_rate":
|
563 |
-
"loss":
|
564 |
"step": 770
|
565 |
},
|
566 |
{
|
567 |
"epoch": 2.2285714285714286,
|
568 |
-
"grad_norm":
|
569 |
-
"learning_rate":
|
570 |
-
"loss":
|
571 |
"step": 780
|
572 |
},
|
573 |
{
|
574 |
"epoch": 2.257142857142857,
|
575 |
-
"grad_norm":
|
576 |
-
"learning_rate":
|
577 |
-
"loss":
|
578 |
"step": 790
|
579 |
},
|
580 |
{
|
581 |
"epoch": 2.2857142857142856,
|
582 |
-
"grad_norm":
|
583 |
-
"learning_rate":
|
584 |
-
"loss":
|
585 |
"step": 800
|
586 |
},
|
587 |
{
|
588 |
"epoch": 2.314285714285714,
|
589 |
-
"grad_norm":
|
590 |
-
"learning_rate":
|
591 |
-
"loss":
|
592 |
"step": 810
|
593 |
},
|
594 |
{
|
595 |
"epoch": 2.342857142857143,
|
596 |
-
"grad_norm":
|
597 |
-
"learning_rate":
|
598 |
-
"loss":
|
599 |
"step": 820
|
600 |
},
|
601 |
{
|
602 |
"epoch": 2.3714285714285714,
|
603 |
-
"grad_norm":
|
604 |
-
"learning_rate":
|
605 |
-
"loss":
|
606 |
"step": 830
|
607 |
},
|
608 |
{
|
609 |
"epoch": 2.4,
|
610 |
-
"grad_norm":
|
611 |
-
"learning_rate":
|
612 |
-
"loss":
|
613 |
"step": 840
|
614 |
},
|
615 |
{
|
616 |
"epoch": 2.4285714285714284,
|
617 |
-
"grad_norm":
|
618 |
-
"learning_rate":
|
619 |
-
"loss":
|
620 |
"step": 850
|
621 |
},
|
622 |
{
|
623 |
"epoch": 2.4571428571428573,
|
624 |
-
"grad_norm":
|
625 |
-
"learning_rate":
|
626 |
-
"loss":
|
627 |
"step": 860
|
628 |
},
|
629 |
{
|
630 |
"epoch": 2.4857142857142858,
|
631 |
-
"grad_norm":
|
632 |
-
"learning_rate":
|
633 |
-
"loss":
|
634 |
"step": 870
|
635 |
},
|
636 |
{
|
637 |
"epoch": 2.5142857142857142,
|
638 |
-
"grad_norm":
|
639 |
-
"learning_rate":
|
640 |
-
"loss":
|
641 |
"step": 880
|
642 |
},
|
643 |
{
|
644 |
"epoch": 2.5428571428571427,
|
645 |
-
"grad_norm":
|
646 |
-
"learning_rate":
|
647 |
-
"loss":
|
648 |
"step": 890
|
649 |
},
|
650 |
{
|
651 |
"epoch": 2.571428571428571,
|
652 |
-
"grad_norm":
|
653 |
-
"learning_rate":
|
654 |
-
"loss":
|
655 |
"step": 900
|
656 |
},
|
657 |
{
|
658 |
"epoch": 2.6,
|
659 |
-
"grad_norm":
|
660 |
-
"learning_rate":
|
661 |
-
"loss":
|
662 |
"step": 910
|
663 |
},
|
664 |
{
|
665 |
"epoch": 2.6285714285714286,
|
666 |
-
"grad_norm":
|
667 |
-
"learning_rate":
|
668 |
-
"loss":
|
669 |
"step": 920
|
670 |
},
|
671 |
{
|
672 |
"epoch": 2.657142857142857,
|
673 |
-
"grad_norm":
|
674 |
-
"learning_rate":
|
675 |
-
"loss":
|
676 |
"step": 930
|
677 |
},
|
678 |
{
|
679 |
"epoch": 2.685714285714286,
|
680 |
-
"grad_norm":
|
681 |
-
"learning_rate":
|
682 |
-
"loss":
|
683 |
"step": 940
|
684 |
},
|
685 |
{
|
686 |
"epoch": 2.7142857142857144,
|
687 |
-
"grad_norm":
|
688 |
-
"learning_rate":
|
689 |
-
"loss":
|
690 |
"step": 950
|
691 |
},
|
692 |
{
|
693 |
"epoch": 2.742857142857143,
|
694 |
-
"grad_norm":
|
695 |
-
"learning_rate":
|
696 |
-
"loss":
|
697 |
"step": 960
|
698 |
},
|
699 |
{
|
700 |
"epoch": 2.7714285714285714,
|
701 |
-
"grad_norm":
|
702 |
-
"learning_rate":
|
703 |
-
"loss":
|
704 |
"step": 970
|
705 |
},
|
706 |
{
|
707 |
"epoch": 2.8,
|
708 |
-
"grad_norm":
|
709 |
-
"learning_rate":
|
710 |
-
"loss":
|
711 |
"step": 980
|
712 |
},
|
713 |
{
|
714 |
"epoch": 2.8285714285714287,
|
715 |
-
"grad_norm":
|
716 |
-
"learning_rate":
|
717 |
-
"loss":
|
718 |
"step": 990
|
719 |
},
|
720 |
{
|
721 |
"epoch": 2.857142857142857,
|
722 |
-
"grad_norm":
|
723 |
-
"learning_rate":
|
724 |
-
"loss":
|
725 |
"step": 1000
|
726 |
},
|
727 |
{
|
728 |
"epoch": 2.8857142857142857,
|
729 |
-
"grad_norm":
|
730 |
-
"learning_rate":
|
731 |
-
"loss":
|
732 |
"step": 1010
|
733 |
},
|
734 |
{
|
735 |
"epoch": 2.914285714285714,
|
736 |
-
"grad_norm":
|
737 |
-
"learning_rate":
|
738 |
-
"loss":
|
739 |
"step": 1020
|
740 |
},
|
741 |
{
|
742 |
"epoch": 2.942857142857143,
|
743 |
-
"grad_norm":
|
744 |
-
"learning_rate":
|
745 |
-
"loss":
|
746 |
"step": 1030
|
747 |
},
|
748 |
{
|
749 |
"epoch": 2.9714285714285715,
|
750 |
-
"grad_norm":
|
751 |
-
"learning_rate":
|
752 |
-
"loss":
|
753 |
"step": 1040
|
754 |
},
|
755 |
{
|
756 |
"epoch": 3.0,
|
757 |
-
"grad_norm":
|
758 |
"learning_rate": 0.0,
|
759 |
-
"loss":
|
760 |
"step": 1050
|
761 |
},
|
762 |
{
|
763 |
"epoch": 3.0,
|
764 |
-
"eval_loss":
|
765 |
-
"eval_runtime": 16.
|
766 |
-
"eval_samples_per_second": 12.
|
767 |
-
"eval_steps_per_second": 1.
|
768 |
"step": 1050
|
769 |
}
|
770 |
],
|
@@ -785,7 +785,7 @@
|
|
785 |
"attributes": {}
|
786 |
}
|
787 |
},
|
788 |
-
"total_flos":
|
789 |
"train_batch_size": 8,
|
790 |
"trial_name": null,
|
791 |
"trial_params": null
|
|
|
10 |
"log_history": [
|
11 |
{
|
12 |
"epoch": 0.02857142857142857,
|
13 |
+
"grad_norm": 5.210493087768555,
|
14 |
+
"learning_rate": 0.0004952380952380952,
|
15 |
+
"loss": 4.4131,
|
16 |
"step": 10
|
17 |
},
|
18 |
{
|
19 |
"epoch": 0.05714285714285714,
|
20 |
+
"grad_norm": 3.571948528289795,
|
21 |
+
"learning_rate": 0.0004904761904761905,
|
22 |
+
"loss": 2.5476,
|
23 |
"step": 20
|
24 |
},
|
25 |
{
|
26 |
"epoch": 0.08571428571428572,
|
27 |
+
"grad_norm": 2.640848398208618,
|
28 |
+
"learning_rate": 0.0004857142857142857,
|
29 |
+
"loss": 2.2491,
|
30 |
"step": 30
|
31 |
},
|
32 |
{
|
33 |
"epoch": 0.11428571428571428,
|
34 |
+
"grad_norm": 2.6611335277557373,
|
35 |
+
"learning_rate": 0.00048095238095238095,
|
36 |
+
"loss": 2.0477,
|
37 |
"step": 40
|
38 |
},
|
39 |
{
|
40 |
"epoch": 0.14285714285714285,
|
41 |
+
"grad_norm": 2.608750581741333,
|
42 |
+
"learning_rate": 0.0004761904761904762,
|
43 |
+
"loss": 2.028,
|
44 |
"step": 50
|
45 |
},
|
46 |
{
|
47 |
"epoch": 0.17142857142857143,
|
48 |
+
"grad_norm": 5.034807205200195,
|
49 |
+
"learning_rate": 0.0004714285714285714,
|
50 |
+
"loss": 1.7871,
|
51 |
"step": 60
|
52 |
},
|
53 |
{
|
54 |
"epoch": 0.2,
|
55 |
+
"grad_norm": 3.5893642902374268,
|
56 |
+
"learning_rate": 0.00046666666666666666,
|
57 |
+
"loss": 1.7879,
|
58 |
"step": 70
|
59 |
},
|
60 |
{
|
61 |
"epoch": 0.22857142857142856,
|
62 |
+
"grad_norm": 5.368953227996826,
|
63 |
+
"learning_rate": 0.00046190476190476195,
|
64 |
+
"loss": 1.8194,
|
65 |
"step": 80
|
66 |
},
|
67 |
{
|
68 |
"epoch": 0.2571428571428571,
|
69 |
+
"grad_norm": 3.7377731800079346,
|
70 |
+
"learning_rate": 0.00045714285714285713,
|
71 |
+
"loss": 1.6159,
|
72 |
"step": 90
|
73 |
},
|
74 |
{
|
75 |
"epoch": 0.2857142857142857,
|
76 |
+
"grad_norm": 7.883308410644531,
|
77 |
+
"learning_rate": 0.00045238095238095237,
|
78 |
+
"loss": 1.6244,
|
79 |
"step": 100
|
80 |
},
|
81 |
{
|
82 |
"epoch": 0.3142857142857143,
|
83 |
+
"grad_norm": 4.968689918518066,
|
84 |
+
"learning_rate": 0.00044761904761904766,
|
85 |
+
"loss": 1.6614,
|
86 |
"step": 110
|
87 |
},
|
88 |
{
|
89 |
"epoch": 0.34285714285714286,
|
90 |
+
"grad_norm": 2.592766046524048,
|
91 |
+
"learning_rate": 0.00044285714285714284,
|
92 |
+
"loss": 1.349,
|
93 |
"step": 120
|
94 |
},
|
95 |
{
|
96 |
"epoch": 0.37142857142857144,
|
97 |
+
"grad_norm": 2.783951997756958,
|
98 |
+
"learning_rate": 0.0004380952380952381,
|
99 |
+
"loss": 1.5065,
|
100 |
"step": 130
|
101 |
},
|
102 |
{
|
103 |
"epoch": 0.4,
|
104 |
+
"grad_norm": 5.2810378074646,
|
105 |
+
"learning_rate": 0.00043333333333333337,
|
106 |
+
"loss": 1.3934,
|
107 |
"step": 140
|
108 |
},
|
109 |
{
|
110 |
"epoch": 0.42857142857142855,
|
111 |
+
"grad_norm": 4.448086261749268,
|
112 |
+
"learning_rate": 0.00042857142857142855,
|
113 |
+
"loss": 1.5198,
|
114 |
"step": 150
|
115 |
},
|
116 |
{
|
117 |
"epoch": 0.45714285714285713,
|
118 |
+
"grad_norm": 3.211707353591919,
|
119 |
+
"learning_rate": 0.0004238095238095238,
|
120 |
+
"loss": 1.6207,
|
121 |
"step": 160
|
122 |
},
|
123 |
{
|
124 |
"epoch": 0.4857142857142857,
|
125 |
+
"grad_norm": 3.586463212966919,
|
126 |
+
"learning_rate": 0.0004190476190476191,
|
127 |
+
"loss": 1.2687,
|
128 |
"step": 170
|
129 |
},
|
130 |
{
|
131 |
"epoch": 0.5142857142857142,
|
132 |
+
"grad_norm": 2.6598610877990723,
|
133 |
+
"learning_rate": 0.0004142857142857143,
|
134 |
+
"loss": 1.3957,
|
135 |
"step": 180
|
136 |
},
|
137 |
{
|
138 |
"epoch": 0.5428571428571428,
|
139 |
+
"grad_norm": 3.480663776397705,
|
140 |
+
"learning_rate": 0.00040952380952380955,
|
141 |
+
"loss": 1.3543,
|
142 |
"step": 190
|
143 |
},
|
144 |
{
|
145 |
"epoch": 0.5714285714285714,
|
146 |
+
"grad_norm": 3.168818712234497,
|
147 |
+
"learning_rate": 0.0004047619047619048,
|
148 |
+
"loss": 1.2619,
|
149 |
"step": 200
|
150 |
},
|
151 |
{
|
152 |
"epoch": 0.6,
|
153 |
+
"grad_norm": 2.7529921531677246,
|
154 |
+
"learning_rate": 0.0004,
|
155 |
+
"loss": 1.1871,
|
156 |
"step": 210
|
157 |
},
|
158 |
{
|
159 |
"epoch": 0.6285714285714286,
|
160 |
+
"grad_norm": 6.538937568664551,
|
161 |
+
"learning_rate": 0.00039523809523809526,
|
162 |
+
"loss": 1.268,
|
163 |
"step": 220
|
164 |
},
|
165 |
{
|
166 |
"epoch": 0.6571428571428571,
|
167 |
+
"grad_norm": 3.3910727500915527,
|
168 |
+
"learning_rate": 0.0003904761904761905,
|
169 |
+
"loss": 1.4192,
|
170 |
"step": 230
|
171 |
},
|
172 |
{
|
173 |
"epoch": 0.6857142857142857,
|
174 |
+
"grad_norm": 2.31817889213562,
|
175 |
+
"learning_rate": 0.0003857142857142857,
|
176 |
+
"loss": 1.2339,
|
177 |
"step": 240
|
178 |
},
|
179 |
{
|
180 |
"epoch": 0.7142857142857143,
|
181 |
+
"grad_norm": 2.8181235790252686,
|
182 |
+
"learning_rate": 0.00038095238095238096,
|
183 |
+
"loss": 1.3153,
|
184 |
"step": 250
|
185 |
},
|
186 |
{
|
187 |
"epoch": 0.7428571428571429,
|
188 |
+
"grad_norm": 2.5716922283172607,
|
189 |
+
"learning_rate": 0.0003761904761904762,
|
190 |
+
"loss": 1.2066,
|
191 |
"step": 260
|
192 |
},
|
193 |
{
|
194 |
"epoch": 0.7714285714285715,
|
195 |
+
"grad_norm": 5.403870105743408,
|
196 |
+
"learning_rate": 0.00037142857142857143,
|
197 |
+
"loss": 1.2784,
|
198 |
"step": 270
|
199 |
},
|
200 |
{
|
201 |
"epoch": 0.8,
|
202 |
+
"grad_norm": 3.347729206085205,
|
203 |
+
"learning_rate": 0.00036666666666666667,
|
204 |
+
"loss": 1.2273,
|
205 |
"step": 280
|
206 |
},
|
207 |
{
|
208 |
"epoch": 0.8285714285714286,
|
209 |
+
"grad_norm": 2.7995996475219727,
|
210 |
+
"learning_rate": 0.0003619047619047619,
|
211 |
+
"loss": 1.159,
|
212 |
"step": 290
|
213 |
},
|
214 |
{
|
215 |
"epoch": 0.8571428571428571,
|
216 |
+
"grad_norm": 3.817213535308838,
|
217 |
+
"learning_rate": 0.00035714285714285714,
|
218 |
+
"loss": 1.1146,
|
219 |
"step": 300
|
220 |
},
|
221 |
{
|
222 |
"epoch": 0.8857142857142857,
|
223 |
+
"grad_norm": 3.3239715099334717,
|
224 |
+
"learning_rate": 0.00035238095238095243,
|
225 |
+
"loss": 1.1513,
|
226 |
"step": 310
|
227 |
},
|
228 |
{
|
229 |
"epoch": 0.9142857142857143,
|
230 |
+
"grad_norm": 3.042973518371582,
|
231 |
+
"learning_rate": 0.0003476190476190476,
|
232 |
+
"loss": 1.3906,
|
233 |
"step": 320
|
234 |
},
|
235 |
{
|
236 |
"epoch": 0.9428571428571428,
|
237 |
+
"grad_norm": 2.8079681396484375,
|
238 |
+
"learning_rate": 0.00034285714285714285,
|
239 |
+
"loss": 1.1547,
|
240 |
"step": 330
|
241 |
},
|
242 |
{
|
243 |
"epoch": 0.9714285714285714,
|
244 |
+
"grad_norm": 6.39453649520874,
|
245 |
+
"learning_rate": 0.00033809523809523814,
|
246 |
+
"loss": 1.0989,
|
247 |
"step": 340
|
248 |
},
|
249 |
{
|
250 |
"epoch": 1.0,
|
251 |
+
"grad_norm": 5.739945411682129,
|
252 |
+
"learning_rate": 0.0003333333333333333,
|
253 |
+
"loss": 1.1563,
|
254 |
"step": 350
|
255 |
},
|
256 |
{
|
257 |
"epoch": 1.0,
|
258 |
+
"eval_loss": 1.064656376838684,
|
259 |
+
"eval_runtime": 16.5324,
|
260 |
+
"eval_samples_per_second": 12.097,
|
261 |
+
"eval_steps_per_second": 1.512,
|
262 |
"step": 350
|
263 |
},
|
264 |
{
|
265 |
"epoch": 1.0285714285714285,
|
266 |
+
"grad_norm": 5.899299144744873,
|
267 |
+
"learning_rate": 0.00032857142857142856,
|
268 |
+
"loss": 1.0649,
|
269 |
"step": 360
|
270 |
},
|
271 |
{
|
272 |
"epoch": 1.0571428571428572,
|
273 |
+
"grad_norm": 3.3639721870422363,
|
274 |
+
"learning_rate": 0.00032380952380952385,
|
275 |
+
"loss": 1.1595,
|
276 |
"step": 370
|
277 |
},
|
278 |
{
|
279 |
"epoch": 1.0857142857142856,
|
280 |
+
"grad_norm": 2.811561346054077,
|
281 |
+
"learning_rate": 0.00031904761904761903,
|
282 |
+
"loss": 1.0871,
|
283 |
"step": 380
|
284 |
},
|
285 |
{
|
286 |
"epoch": 1.1142857142857143,
|
287 |
+
"grad_norm": 2.6730055809020996,
|
288 |
+
"learning_rate": 0.00031428571428571427,
|
289 |
+
"loss": 1.0294,
|
290 |
"step": 390
|
291 |
},
|
292 |
{
|
293 |
"epoch": 1.1428571428571428,
|
294 |
+
"grad_norm": 5.02337646484375,
|
295 |
+
"learning_rate": 0.00030952380952380956,
|
296 |
+
"loss": 1.0844,
|
297 |
"step": 400
|
298 |
},
|
299 |
{
|
300 |
"epoch": 1.1714285714285715,
|
301 |
+
"grad_norm": 4.188799858093262,
|
302 |
+
"learning_rate": 0.0003047619047619048,
|
303 |
+
"loss": 1.0464,
|
304 |
"step": 410
|
305 |
},
|
306 |
{
|
307 |
"epoch": 1.2,
|
308 |
+
"grad_norm": 5.055841445922852,
|
309 |
+
"learning_rate": 0.0003,
|
310 |
+
"loss": 1.1078,
|
311 |
"step": 420
|
312 |
},
|
313 |
{
|
314 |
"epoch": 1.2285714285714286,
|
315 |
+
"grad_norm": 8.09494400024414,
|
316 |
+
"learning_rate": 0.00029523809523809526,
|
317 |
+
"loss": 1.0539,
|
318 |
"step": 430
|
319 |
},
|
320 |
{
|
321 |
"epoch": 1.2571428571428571,
|
322 |
+
"grad_norm": 3.012653112411499,
|
323 |
+
"learning_rate": 0.0002904761904761905,
|
324 |
+
"loss": 0.927,
|
325 |
"step": 440
|
326 |
},
|
327 |
{
|
328 |
"epoch": 1.2857142857142856,
|
329 |
+
"grad_norm": 8.38936710357666,
|
330 |
+
"learning_rate": 0.0002857142857142857,
|
331 |
+
"loss": 1.2209,
|
332 |
"step": 450
|
333 |
},
|
334 |
{
|
335 |
"epoch": 1.3142857142857143,
|
336 |
+
"grad_norm": 4.191105365753174,
|
337 |
+
"learning_rate": 0.00028095238095238097,
|
338 |
+
"loss": 1.0086,
|
339 |
"step": 460
|
340 |
},
|
341 |
{
|
342 |
"epoch": 1.342857142857143,
|
343 |
+
"grad_norm": 2.9886045455932617,
|
344 |
+
"learning_rate": 0.0002761904761904762,
|
345 |
+
"loss": 1.0788,
|
346 |
"step": 470
|
347 |
},
|
348 |
{
|
349 |
"epoch": 1.3714285714285714,
|
350 |
+
"grad_norm": 3.5892975330352783,
|
351 |
+
"learning_rate": 0.0002714285714285714,
|
352 |
+
"loss": 1.0877,
|
353 |
"step": 480
|
354 |
},
|
355 |
{
|
356 |
"epoch": 1.4,
|
357 |
+
"grad_norm": 4.504238128662109,
|
358 |
+
"learning_rate": 0.0002666666666666667,
|
359 |
+
"loss": 1.0066,
|
360 |
"step": 490
|
361 |
},
|
362 |
{
|
363 |
"epoch": 1.4285714285714286,
|
364 |
+
"grad_norm": 3.601853132247925,
|
365 |
+
"learning_rate": 0.0002619047619047619,
|
366 |
+
"loss": 0.9915,
|
367 |
"step": 500
|
368 |
},
|
369 |
{
|
370 |
"epoch": 1.457142857142857,
|
371 |
+
"grad_norm": 4.008484840393066,
|
372 |
+
"learning_rate": 0.0002571428571428571,
|
373 |
+
"loss": 0.9651,
|
374 |
"step": 510
|
375 |
},
|
376 |
{
|
377 |
"epoch": 1.4857142857142858,
|
378 |
+
"grad_norm": 5.5403900146484375,
|
379 |
+
"learning_rate": 0.0002523809523809524,
|
380 |
+
"loss": 0.9018,
|
381 |
"step": 520
|
382 |
},
|
383 |
{
|
384 |
"epoch": 1.5142857142857142,
|
385 |
+
"grad_norm": 3.526982069015503,
|
386 |
+
"learning_rate": 0.0002476190476190476,
|
387 |
+
"loss": 0.9588,
|
388 |
"step": 530
|
389 |
},
|
390 |
{
|
391 |
"epoch": 1.5428571428571427,
|
392 |
+
"grad_norm": 3.666804075241089,
|
393 |
+
"learning_rate": 0.00024285714285714286,
|
394 |
+
"loss": 1.0092,
|
395 |
"step": 540
|
396 |
},
|
397 |
{
|
398 |
"epoch": 1.5714285714285714,
|
399 |
+
"grad_norm": 3.4340310096740723,
|
400 |
+
"learning_rate": 0.0002380952380952381,
|
401 |
+
"loss": 0.9342,
|
402 |
"step": 550
|
403 |
},
|
404 |
{
|
405 |
"epoch": 1.6,
|
406 |
+
"grad_norm": 5.815408229827881,
|
407 |
+
"learning_rate": 0.00023333333333333333,
|
408 |
+
"loss": 1.0666,
|
409 |
"step": 560
|
410 |
},
|
411 |
{
|
412 |
"epoch": 1.6285714285714286,
|
413 |
+
"grad_norm": 2.7780840396881104,
|
414 |
+
"learning_rate": 0.00022857142857142857,
|
415 |
+
"loss": 1.1026,
|
416 |
"step": 570
|
417 |
},
|
418 |
{
|
419 |
"epoch": 1.657142857142857,
|
420 |
+
"grad_norm": 3.8484044075012207,
|
421 |
+
"learning_rate": 0.00022380952380952383,
|
422 |
+
"loss": 0.937,
|
423 |
"step": 580
|
424 |
},
|
425 |
{
|
426 |
"epoch": 1.6857142857142857,
|
427 |
+
"grad_norm": 3.819007635116577,
|
428 |
+
"learning_rate": 0.00021904761904761904,
|
429 |
+
"loss": 1.1247,
|
430 |
"step": 590
|
431 |
},
|
432 |
{
|
433 |
"epoch": 1.7142857142857144,
|
434 |
+
"grad_norm": 3.8324477672576904,
|
435 |
+
"learning_rate": 0.00021428571428571427,
|
436 |
+
"loss": 0.9961,
|
437 |
"step": 600
|
438 |
},
|
439 |
{
|
440 |
"epoch": 1.7428571428571429,
|
441 |
+
"grad_norm": 3.2769389152526855,
|
442 |
+
"learning_rate": 0.00020952380952380954,
|
443 |
+
"loss": 0.9987,
|
444 |
"step": 610
|
445 |
},
|
446 |
{
|
447 |
"epoch": 1.7714285714285714,
|
448 |
+
"grad_norm": 5.3248443603515625,
|
449 |
+
"learning_rate": 0.00020476190476190477,
|
450 |
+
"loss": 0.9219,
|
451 |
"step": 620
|
452 |
},
|
453 |
{
|
454 |
"epoch": 1.8,
|
455 |
+
"grad_norm": 2.6656081676483154,
|
456 |
+
"learning_rate": 0.0002,
|
457 |
+
"loss": 1.0293,
|
458 |
"step": 630
|
459 |
},
|
460 |
{
|
461 |
"epoch": 1.8285714285714287,
|
462 |
+
"grad_norm": 2.6429567337036133,
|
463 |
+
"learning_rate": 0.00019523809523809525,
|
464 |
+
"loss": 1.0106,
|
465 |
"step": 640
|
466 |
},
|
467 |
{
|
468 |
"epoch": 1.8571428571428572,
|
469 |
+
"grad_norm": 4.4341864585876465,
|
470 |
+
"learning_rate": 0.00019047619047619048,
|
471 |
+
"loss": 0.8426,
|
472 |
"step": 650
|
473 |
},
|
474 |
{
|
475 |
"epoch": 1.8857142857142857,
|
476 |
+
"grad_norm": 4.535873889923096,
|
477 |
+
"learning_rate": 0.00018571428571428572,
|
478 |
+
"loss": 0.9335,
|
479 |
"step": 660
|
480 |
},
|
481 |
{
|
482 |
"epoch": 1.9142857142857141,
|
483 |
+
"grad_norm": 4.100979328155518,
|
484 |
+
"learning_rate": 0.00018095238095238095,
|
485 |
+
"loss": 0.9936,
|
486 |
"step": 670
|
487 |
},
|
488 |
{
|
489 |
"epoch": 1.9428571428571428,
|
490 |
+
"grad_norm": 4.034025192260742,
|
491 |
+
"learning_rate": 0.00017619047619047622,
|
492 |
+
"loss": 0.9305,
|
493 |
"step": 680
|
494 |
},
|
495 |
{
|
496 |
"epoch": 1.9714285714285715,
|
497 |
+
"grad_norm": 3.618300676345825,
|
498 |
+
"learning_rate": 0.00017142857142857143,
|
499 |
+
"loss": 0.975,
|
500 |
"step": 690
|
501 |
},
|
502 |
{
|
503 |
"epoch": 2.0,
|
504 |
+
"grad_norm": 3.0254437923431396,
|
505 |
+
"learning_rate": 0.00016666666666666666,
|
506 |
+
"loss": 0.997,
|
507 |
"step": 700
|
508 |
},
|
509 |
{
|
510 |
"epoch": 2.0,
|
511 |
+
"eval_loss": 0.893572211265564,
|
512 |
+
"eval_runtime": 16.613,
|
513 |
+
"eval_samples_per_second": 12.039,
|
514 |
+
"eval_steps_per_second": 1.505,
|
515 |
"step": 700
|
516 |
},
|
517 |
{
|
518 |
"epoch": 2.0285714285714285,
|
519 |
+
"grad_norm": 2.8559610843658447,
|
520 |
+
"learning_rate": 0.00016190476190476192,
|
521 |
+
"loss": 0.8578,
|
522 |
"step": 710
|
523 |
},
|
524 |
{
|
525 |
"epoch": 2.057142857142857,
|
526 |
+
"grad_norm": 2.623955488204956,
|
527 |
+
"learning_rate": 0.00015714285714285713,
|
528 |
+
"loss": 0.8208,
|
529 |
"step": 720
|
530 |
},
|
531 |
{
|
532 |
"epoch": 2.085714285714286,
|
533 |
+
"grad_norm": 4.081460475921631,
|
534 |
+
"learning_rate": 0.0001523809523809524,
|
535 |
+
"loss": 0.8064,
|
536 |
"step": 730
|
537 |
},
|
538 |
{
|
539 |
"epoch": 2.1142857142857143,
|
540 |
+
"grad_norm": 4.917724609375,
|
541 |
+
"learning_rate": 0.00014761904761904763,
|
542 |
+
"loss": 0.8172,
|
543 |
"step": 740
|
544 |
},
|
545 |
{
|
546 |
"epoch": 2.142857142857143,
|
547 |
+
"grad_norm": 5.27565336227417,
|
548 |
+
"learning_rate": 0.00014285714285714284,
|
549 |
+
"loss": 1.0486,
|
550 |
"step": 750
|
551 |
},
|
552 |
{
|
553 |
"epoch": 2.1714285714285713,
|
554 |
+
"grad_norm": 4.373621463775635,
|
555 |
+
"learning_rate": 0.0001380952380952381,
|
556 |
+
"loss": 0.8948,
|
557 |
"step": 760
|
558 |
},
|
559 |
{
|
560 |
"epoch": 2.2,
|
561 |
+
"grad_norm": 3.5879688262939453,
|
562 |
+
"learning_rate": 0.00013333333333333334,
|
563 |
+
"loss": 0.8612,
|
564 |
"step": 770
|
565 |
},
|
566 |
{
|
567 |
"epoch": 2.2285714285714286,
|
568 |
+
"grad_norm": 3.1236374378204346,
|
569 |
+
"learning_rate": 0.00012857142857142855,
|
570 |
+
"loss": 0.906,
|
571 |
"step": 780
|
572 |
},
|
573 |
{
|
574 |
"epoch": 2.257142857142857,
|
575 |
+
"grad_norm": 3.8395140171051025,
|
576 |
+
"learning_rate": 0.0001238095238095238,
|
577 |
+
"loss": 0.7673,
|
578 |
"step": 790
|
579 |
},
|
580 |
{
|
581 |
"epoch": 2.2857142857142856,
|
582 |
+
"grad_norm": 3.8085057735443115,
|
583 |
+
"learning_rate": 0.00011904761904761905,
|
584 |
+
"loss": 0.8075,
|
585 |
"step": 800
|
586 |
},
|
587 |
{
|
588 |
"epoch": 2.314285714285714,
|
589 |
+
"grad_norm": 3.388486385345459,
|
590 |
+
"learning_rate": 0.00011428571428571428,
|
591 |
+
"loss": 0.8651,
|
592 |
"step": 810
|
593 |
},
|
594 |
{
|
595 |
"epoch": 2.342857142857143,
|
596 |
+
"grad_norm": 3.3502166271209717,
|
597 |
+
"learning_rate": 0.00010952380952380952,
|
598 |
+
"loss": 0.8036,
|
599 |
"step": 820
|
600 |
},
|
601 |
{
|
602 |
"epoch": 2.3714285714285714,
|
603 |
+
"grad_norm": 3.833613634109497,
|
604 |
+
"learning_rate": 0.00010476190476190477,
|
605 |
+
"loss": 0.9703,
|
606 |
"step": 830
|
607 |
},
|
608 |
{
|
609 |
"epoch": 2.4,
|
610 |
+
"grad_norm": 3.7099878787994385,
|
611 |
+
"learning_rate": 0.0001,
|
612 |
+
"loss": 0.8167,
|
613 |
"step": 840
|
614 |
},
|
615 |
{
|
616 |
"epoch": 2.4285714285714284,
|
617 |
+
"grad_norm": 6.892563343048096,
|
618 |
+
"learning_rate": 9.523809523809524e-05,
|
619 |
+
"loss": 0.7719,
|
620 |
"step": 850
|
621 |
},
|
622 |
{
|
623 |
"epoch": 2.4571428571428573,
|
624 |
+
"grad_norm": 4.409047603607178,
|
625 |
+
"learning_rate": 9.047619047619048e-05,
|
626 |
+
"loss": 0.9031,
|
627 |
"step": 860
|
628 |
},
|
629 |
{
|
630 |
"epoch": 2.4857142857142858,
|
631 |
+
"grad_norm": 1.9474296569824219,
|
632 |
+
"learning_rate": 8.571428571428571e-05,
|
633 |
+
"loss": 0.9334,
|
634 |
"step": 870
|
635 |
},
|
636 |
{
|
637 |
"epoch": 2.5142857142857142,
|
638 |
+
"grad_norm": 2.9493942260742188,
|
639 |
+
"learning_rate": 8.095238095238096e-05,
|
640 |
+
"loss": 0.8624,
|
641 |
"step": 880
|
642 |
},
|
643 |
{
|
644 |
"epoch": 2.5428571428571427,
|
645 |
+
"grad_norm": 4.493179798126221,
|
646 |
+
"learning_rate": 7.61904761904762e-05,
|
647 |
+
"loss": 0.9769,
|
648 |
"step": 890
|
649 |
},
|
650 |
{
|
651 |
"epoch": 2.571428571428571,
|
652 |
+
"grad_norm": 5.590090751647949,
|
653 |
+
"learning_rate": 7.142857142857142e-05,
|
654 |
+
"loss": 0.6596,
|
655 |
"step": 900
|
656 |
},
|
657 |
{
|
658 |
"epoch": 2.6,
|
659 |
+
"grad_norm": 2.4073421955108643,
|
660 |
+
"learning_rate": 6.666666666666667e-05,
|
661 |
+
"loss": 0.8155,
|
662 |
"step": 910
|
663 |
},
|
664 |
{
|
665 |
"epoch": 2.6285714285714286,
|
666 |
+
"grad_norm": 3.83565092086792,
|
667 |
+
"learning_rate": 6.19047619047619e-05,
|
668 |
+
"loss": 0.8871,
|
669 |
"step": 920
|
670 |
},
|
671 |
{
|
672 |
"epoch": 2.657142857142857,
|
673 |
+
"grad_norm": 5.591251850128174,
|
674 |
+
"learning_rate": 5.714285714285714e-05,
|
675 |
+
"loss": 0.7536,
|
676 |
"step": 930
|
677 |
},
|
678 |
{
|
679 |
"epoch": 2.685714285714286,
|
680 |
+
"grad_norm": 4.405236721038818,
|
681 |
+
"learning_rate": 5.2380952380952384e-05,
|
682 |
+
"loss": 0.9314,
|
683 |
"step": 940
|
684 |
},
|
685 |
{
|
686 |
"epoch": 2.7142857142857144,
|
687 |
+
"grad_norm": 4.951947212219238,
|
688 |
+
"learning_rate": 4.761904761904762e-05,
|
689 |
+
"loss": 0.796,
|
690 |
"step": 950
|
691 |
},
|
692 |
{
|
693 |
"epoch": 2.742857142857143,
|
694 |
+
"grad_norm": 5.001076698303223,
|
695 |
+
"learning_rate": 4.2857142857142856e-05,
|
696 |
+
"loss": 0.7446,
|
697 |
"step": 960
|
698 |
},
|
699 |
{
|
700 |
"epoch": 2.7714285714285714,
|
701 |
+
"grad_norm": 5.915081024169922,
|
702 |
+
"learning_rate": 3.80952380952381e-05,
|
703 |
+
"loss": 0.9323,
|
704 |
"step": 970
|
705 |
},
|
706 |
{
|
707 |
"epoch": 2.8,
|
708 |
+
"grad_norm": 2.5451648235321045,
|
709 |
+
"learning_rate": 3.3333333333333335e-05,
|
710 |
+
"loss": 0.9232,
|
711 |
"step": 980
|
712 |
},
|
713 |
{
|
714 |
"epoch": 2.8285714285714287,
|
715 |
+
"grad_norm": 3.71482515335083,
|
716 |
+
"learning_rate": 2.857142857142857e-05,
|
717 |
+
"loss": 0.8619,
|
718 |
"step": 990
|
719 |
},
|
720 |
{
|
721 |
"epoch": 2.857142857142857,
|
722 |
+
"grad_norm": 3.601994037628174,
|
723 |
+
"learning_rate": 2.380952380952381e-05,
|
724 |
+
"loss": 0.8866,
|
725 |
"step": 1000
|
726 |
},
|
727 |
{
|
728 |
"epoch": 2.8857142857142857,
|
729 |
+
"grad_norm": 4.266910552978516,
|
730 |
+
"learning_rate": 1.904761904761905e-05,
|
731 |
+
"loss": 0.7992,
|
732 |
"step": 1010
|
733 |
},
|
734 |
{
|
735 |
"epoch": 2.914285714285714,
|
736 |
+
"grad_norm": 2.968625783920288,
|
737 |
+
"learning_rate": 1.4285714285714285e-05,
|
738 |
+
"loss": 0.7861,
|
739 |
"step": 1020
|
740 |
},
|
741 |
{
|
742 |
"epoch": 2.942857142857143,
|
743 |
+
"grad_norm": 3.180135488510132,
|
744 |
+
"learning_rate": 9.523809523809525e-06,
|
745 |
+
"loss": 0.6923,
|
746 |
"step": 1030
|
747 |
},
|
748 |
{
|
749 |
"epoch": 2.9714285714285715,
|
750 |
+
"grad_norm": 3.609273910522461,
|
751 |
+
"learning_rate": 4.761904761904762e-06,
|
752 |
+
"loss": 0.6872,
|
753 |
"step": 1040
|
754 |
},
|
755 |
{
|
756 |
"epoch": 3.0,
|
757 |
+
"grad_norm": 4.716108798980713,
|
758 |
"learning_rate": 0.0,
|
759 |
+
"loss": 0.8321,
|
760 |
"step": 1050
|
761 |
},
|
762 |
{
|
763 |
"epoch": 3.0,
|
764 |
+
"eval_loss": 0.7921221852302551,
|
765 |
+
"eval_runtime": 16.5336,
|
766 |
+
"eval_samples_per_second": 12.097,
|
767 |
+
"eval_steps_per_second": 1.512,
|
768 |
"step": 1050
|
769 |
}
|
770 |
],
|
|
|
785 |
"attributes": {}
|
786 |
}
|
787 |
},
|
788 |
+
"total_flos": 6283456413696000.0,
|
789 |
"train_batch_size": 8,
|
790 |
"trial_name": null,
|
791 |
"trial_params": null
|
checkpoint-1050/training_args.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 5240
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:1982b07d8277b0bc7aaf4f34307bfaa24bd97b8994cd2c48e972769e68324f20
|
3 |
size 5240
|
checkpoint-350/adapter_config.json
CHANGED
@@ -20,8 +20,8 @@
|
|
20 |
"rank_pattern": {},
|
21 |
"revision": null,
|
22 |
"target_modules": [
|
23 |
-
"
|
24 |
-
"
|
25 |
],
|
26 |
"task_type": "CAUSAL_LM",
|
27 |
"use_dora": false,
|
|
|
20 |
"rank_pattern": {},
|
21 |
"revision": null,
|
22 |
"target_modules": [
|
23 |
+
"v_proj",
|
24 |
+
"q_proj"
|
25 |
],
|
26 |
"task_type": "CAUSAL_LM",
|
27 |
"use_dora": false,
|
checkpoint-350/adapter_model.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 3416264
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:7425737072ba8acbe6d2f9c94c69f458d16d0a7f53fa0676b6840781f5a4b2fc
|
3 |
size 3416264
|
checkpoint-350/optimizer.pt
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 6869818
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:a5ce96627e6b7708b4c7f689eccadb34c4192d05616b766eab604b48141e5e66
|
3 |
size 6869818
|
checkpoint-350/rng_state.pth
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 14244
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:a60eb44815728d1c05bb3472d8ee196dc9c4a01b9978bca3eb64637848fdb4c7
|
3 |
size 14244
|
checkpoint-350/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:def6878723ae6de031424f87c5cc1de1a9c00f84dc97979090ddbd977a6d40b3
|
3 |
size 1064
|
checkpoint-350/trainer_state.json
CHANGED
@@ -10,255 +10,255 @@
|
|
10 |
"log_history": [
|
11 |
{
|
12 |
"epoch": 0.02857142857142857,
|
13 |
-
"grad_norm":
|
14 |
-
"learning_rate":
|
15 |
-
"loss":
|
16 |
"step": 10
|
17 |
},
|
18 |
{
|
19 |
"epoch": 0.05714285714285714,
|
20 |
-
"grad_norm":
|
21 |
-
"learning_rate":
|
22 |
-
"loss":
|
23 |
"step": 20
|
24 |
},
|
25 |
{
|
26 |
"epoch": 0.08571428571428572,
|
27 |
-
"grad_norm":
|
28 |
-
"learning_rate":
|
29 |
-
"loss":
|
30 |
"step": 30
|
31 |
},
|
32 |
{
|
33 |
"epoch": 0.11428571428571428,
|
34 |
-
"grad_norm":
|
35 |
-
"learning_rate":
|
36 |
-
"loss":
|
37 |
"step": 40
|
38 |
},
|
39 |
{
|
40 |
"epoch": 0.14285714285714285,
|
41 |
-
"grad_norm":
|
42 |
-
"learning_rate":
|
43 |
-
"loss":
|
44 |
"step": 50
|
45 |
},
|
46 |
{
|
47 |
"epoch": 0.17142857142857143,
|
48 |
-
"grad_norm": 5.
|
49 |
-
"learning_rate":
|
50 |
-
"loss": 1.
|
51 |
"step": 60
|
52 |
},
|
53 |
{
|
54 |
"epoch": 0.2,
|
55 |
-
"grad_norm":
|
56 |
-
"learning_rate":
|
57 |
-
"loss": 1.
|
58 |
"step": 70
|
59 |
},
|
60 |
{
|
61 |
"epoch": 0.22857142857142856,
|
62 |
-
"grad_norm":
|
63 |
-
"learning_rate":
|
64 |
-
"loss": 1.
|
65 |
"step": 80
|
66 |
},
|
67 |
{
|
68 |
"epoch": 0.2571428571428571,
|
69 |
-
"grad_norm":
|
70 |
-
"learning_rate":
|
71 |
-
"loss": 1.
|
72 |
"step": 90
|
73 |
},
|
74 |
{
|
75 |
"epoch": 0.2857142857142857,
|
76 |
-
"grad_norm": 7.
|
77 |
-
"learning_rate":
|
78 |
-
"loss": 1.
|
79 |
"step": 100
|
80 |
},
|
81 |
{
|
82 |
"epoch": 0.3142857142857143,
|
83 |
-
"grad_norm":
|
84 |
-
"learning_rate":
|
85 |
-
"loss": 1.
|
86 |
"step": 110
|
87 |
},
|
88 |
{
|
89 |
"epoch": 0.34285714285714286,
|
90 |
-
"grad_norm":
|
91 |
-
"learning_rate":
|
92 |
-
"loss": 1.
|
93 |
"step": 120
|
94 |
},
|
95 |
{
|
96 |
"epoch": 0.37142857142857144,
|
97 |
-
"grad_norm":
|
98 |
-
"learning_rate":
|
99 |
-
"loss": 1.
|
100 |
"step": 130
|
101 |
},
|
102 |
{
|
103 |
"epoch": 0.4,
|
104 |
-
"grad_norm":
|
105 |
-
"learning_rate":
|
106 |
-
"loss": 1.
|
107 |
"step": 140
|
108 |
},
|
109 |
{
|
110 |
"epoch": 0.42857142857142855,
|
111 |
-
"grad_norm":
|
112 |
-
"learning_rate":
|
113 |
-
"loss": 1.
|
114 |
"step": 150
|
115 |
},
|
116 |
{
|
117 |
"epoch": 0.45714285714285713,
|
118 |
-
"grad_norm":
|
119 |
-
"learning_rate":
|
120 |
-
"loss": 1.
|
121 |
"step": 160
|
122 |
},
|
123 |
{
|
124 |
"epoch": 0.4857142857142857,
|
125 |
-
"grad_norm":
|
126 |
-
"learning_rate":
|
127 |
-
"loss": 1.
|
128 |
"step": 170
|
129 |
},
|
130 |
{
|
131 |
"epoch": 0.5142857142857142,
|
132 |
-
"grad_norm":
|
133 |
-
"learning_rate":
|
134 |
-
"loss": 1.
|
135 |
"step": 180
|
136 |
},
|
137 |
{
|
138 |
"epoch": 0.5428571428571428,
|
139 |
-
"grad_norm":
|
140 |
-
"learning_rate":
|
141 |
-
"loss": 1.
|
142 |
"step": 190
|
143 |
},
|
144 |
{
|
145 |
"epoch": 0.5714285714285714,
|
146 |
-
"grad_norm":
|
147 |
-
"learning_rate":
|
148 |
-
"loss": 1.
|
149 |
"step": 200
|
150 |
},
|
151 |
{
|
152 |
"epoch": 0.6,
|
153 |
-
"grad_norm":
|
154 |
-
"learning_rate":
|
155 |
-
"loss": 1.
|
156 |
"step": 210
|
157 |
},
|
158 |
{
|
159 |
"epoch": 0.6285714285714286,
|
160 |
-
"grad_norm":
|
161 |
-
"learning_rate":
|
162 |
-
"loss": 1.
|
163 |
"step": 220
|
164 |
},
|
165 |
{
|
166 |
"epoch": 0.6571428571428571,
|
167 |
-
"grad_norm":
|
168 |
-
"learning_rate":
|
169 |
-
"loss": 1.
|
170 |
"step": 230
|
171 |
},
|
172 |
{
|
173 |
"epoch": 0.6857142857142857,
|
174 |
-
"grad_norm":
|
175 |
-
"learning_rate":
|
176 |
-
"loss": 1.
|
177 |
"step": 240
|
178 |
},
|
179 |
{
|
180 |
"epoch": 0.7142857142857143,
|
181 |
-
"grad_norm":
|
182 |
-
"learning_rate":
|
183 |
-
"loss": 1.
|
184 |
"step": 250
|
185 |
},
|
186 |
{
|
187 |
"epoch": 0.7428571428571429,
|
188 |
-
"grad_norm":
|
189 |
-
"learning_rate":
|
190 |
-
"loss": 1.
|
191 |
"step": 260
|
192 |
},
|
193 |
{
|
194 |
"epoch": 0.7714285714285715,
|
195 |
-
"grad_norm":
|
196 |
-
"learning_rate":
|
197 |
-
"loss": 1.
|
198 |
"step": 270
|
199 |
},
|
200 |
{
|
201 |
"epoch": 0.8,
|
202 |
-
"grad_norm":
|
203 |
-
"learning_rate":
|
204 |
-
"loss": 1.
|
205 |
"step": 280
|
206 |
},
|
207 |
{
|
208 |
"epoch": 0.8285714285714286,
|
209 |
-
"grad_norm":
|
210 |
-
"learning_rate":
|
211 |
-
"loss": 1.
|
212 |
"step": 290
|
213 |
},
|
214 |
{
|
215 |
"epoch": 0.8571428571428571,
|
216 |
-
"grad_norm":
|
217 |
-
"learning_rate":
|
218 |
-
"loss": 1.
|
219 |
"step": 300
|
220 |
},
|
221 |
{
|
222 |
"epoch": 0.8857142857142857,
|
223 |
-
"grad_norm":
|
224 |
-
"learning_rate":
|
225 |
-
"loss": 1.
|
226 |
"step": 310
|
227 |
},
|
228 |
{
|
229 |
"epoch": 0.9142857142857143,
|
230 |
-
"grad_norm":
|
231 |
-
"learning_rate":
|
232 |
-
"loss": 1.
|
233 |
"step": 320
|
234 |
},
|
235 |
{
|
236 |
"epoch": 0.9428571428571428,
|
237 |
-
"grad_norm":
|
238 |
-
"learning_rate":
|
239 |
-
"loss": 1.
|
240 |
"step": 330
|
241 |
},
|
242 |
{
|
243 |
"epoch": 0.9714285714285714,
|
244 |
-
"grad_norm":
|
245 |
-
"learning_rate":
|
246 |
-
"loss": 1.
|
247 |
"step": 340
|
248 |
},
|
249 |
{
|
250 |
"epoch": 1.0,
|
251 |
-
"grad_norm":
|
252 |
-
"learning_rate":
|
253 |
-
"loss": 1.
|
254 |
"step": 350
|
255 |
},
|
256 |
{
|
257 |
"epoch": 1.0,
|
258 |
-
"eval_loss": 1.
|
259 |
-
"eval_runtime": 16.
|
260 |
-
"eval_samples_per_second": 12.
|
261 |
-
"eval_steps_per_second": 1.
|
262 |
"step": 350
|
263 |
}
|
264 |
],
|
@@ -279,7 +279,7 @@
|
|
279 |
"attributes": {}
|
280 |
}
|
281 |
},
|
282 |
-
"total_flos":
|
283 |
"train_batch_size": 8,
|
284 |
"trial_name": null,
|
285 |
"trial_params": null
|
|
|
10 |
"log_history": [
|
11 |
{
|
12 |
"epoch": 0.02857142857142857,
|
13 |
+
"grad_norm": 5.210493087768555,
|
14 |
+
"learning_rate": 0.0004952380952380952,
|
15 |
+
"loss": 4.4131,
|
16 |
"step": 10
|
17 |
},
|
18 |
{
|
19 |
"epoch": 0.05714285714285714,
|
20 |
+
"grad_norm": 3.571948528289795,
|
21 |
+
"learning_rate": 0.0004904761904761905,
|
22 |
+
"loss": 2.5476,
|
23 |
"step": 20
|
24 |
},
|
25 |
{
|
26 |
"epoch": 0.08571428571428572,
|
27 |
+
"grad_norm": 2.640848398208618,
|
28 |
+
"learning_rate": 0.0004857142857142857,
|
29 |
+
"loss": 2.2491,
|
30 |
"step": 30
|
31 |
},
|
32 |
{
|
33 |
"epoch": 0.11428571428571428,
|
34 |
+
"grad_norm": 2.6611335277557373,
|
35 |
+
"learning_rate": 0.00048095238095238095,
|
36 |
+
"loss": 2.0477,
|
37 |
"step": 40
|
38 |
},
|
39 |
{
|
40 |
"epoch": 0.14285714285714285,
|
41 |
+
"grad_norm": 2.608750581741333,
|
42 |
+
"learning_rate": 0.0004761904761904762,
|
43 |
+
"loss": 2.028,
|
44 |
"step": 50
|
45 |
},
|
46 |
{
|
47 |
"epoch": 0.17142857142857143,
|
48 |
+
"grad_norm": 5.034807205200195,
|
49 |
+
"learning_rate": 0.0004714285714285714,
|
50 |
+
"loss": 1.7871,
|
51 |
"step": 60
|
52 |
},
|
53 |
{
|
54 |
"epoch": 0.2,
|
55 |
+
"grad_norm": 3.5893642902374268,
|
56 |
+
"learning_rate": 0.00046666666666666666,
|
57 |
+
"loss": 1.7879,
|
58 |
"step": 70
|
59 |
},
|
60 |
{
|
61 |
"epoch": 0.22857142857142856,
|
62 |
+
"grad_norm": 5.368953227996826,
|
63 |
+
"learning_rate": 0.00046190476190476195,
|
64 |
+
"loss": 1.8194,
|
65 |
"step": 80
|
66 |
},
|
67 |
{
|
68 |
"epoch": 0.2571428571428571,
|
69 |
+
"grad_norm": 3.7377731800079346,
|
70 |
+
"learning_rate": 0.00045714285714285713,
|
71 |
+
"loss": 1.6159,
|
72 |
"step": 90
|
73 |
},
|
74 |
{
|
75 |
"epoch": 0.2857142857142857,
|
76 |
+
"grad_norm": 7.883308410644531,
|
77 |
+
"learning_rate": 0.00045238095238095237,
|
78 |
+
"loss": 1.6244,
|
79 |
"step": 100
|
80 |
},
|
81 |
{
|
82 |
"epoch": 0.3142857142857143,
|
83 |
+
"grad_norm": 4.968689918518066,
|
84 |
+
"learning_rate": 0.00044761904761904766,
|
85 |
+
"loss": 1.6614,
|
86 |
"step": 110
|
87 |
},
|
88 |
{
|
89 |
"epoch": 0.34285714285714286,
|
90 |
+
"grad_norm": 2.592766046524048,
|
91 |
+
"learning_rate": 0.00044285714285714284,
|
92 |
+
"loss": 1.349,
|
93 |
"step": 120
|
94 |
},
|
95 |
{
|
96 |
"epoch": 0.37142857142857144,
|
97 |
+
"grad_norm": 2.783951997756958,
|
98 |
+
"learning_rate": 0.0004380952380952381,
|
99 |
+
"loss": 1.5065,
|
100 |
"step": 130
|
101 |
},
|
102 |
{
|
103 |
"epoch": 0.4,
|
104 |
+
"grad_norm": 5.2810378074646,
|
105 |
+
"learning_rate": 0.00043333333333333337,
|
106 |
+
"loss": 1.3934,
|
107 |
"step": 140
|
108 |
},
|
109 |
{
|
110 |
"epoch": 0.42857142857142855,
|
111 |
+
"grad_norm": 4.448086261749268,
|
112 |
+
"learning_rate": 0.00042857142857142855,
|
113 |
+
"loss": 1.5198,
|
114 |
"step": 150
|
115 |
},
|
116 |
{
|
117 |
"epoch": 0.45714285714285713,
|
118 |
+
"grad_norm": 3.211707353591919,
|
119 |
+
"learning_rate": 0.0004238095238095238,
|
120 |
+
"loss": 1.6207,
|
121 |
"step": 160
|
122 |
},
|
123 |
{
|
124 |
"epoch": 0.4857142857142857,
|
125 |
+
"grad_norm": 3.586463212966919,
|
126 |
+
"learning_rate": 0.0004190476190476191,
|
127 |
+
"loss": 1.2687,
|
128 |
"step": 170
|
129 |
},
|
130 |
{
|
131 |
"epoch": 0.5142857142857142,
|
132 |
+
"grad_norm": 2.6598610877990723,
|
133 |
+
"learning_rate": 0.0004142857142857143,
|
134 |
+
"loss": 1.3957,
|
135 |
"step": 180
|
136 |
},
|
137 |
{
|
138 |
"epoch": 0.5428571428571428,
|
139 |
+
"grad_norm": 3.480663776397705,
|
140 |
+
"learning_rate": 0.00040952380952380955,
|
141 |
+
"loss": 1.3543,
|
142 |
"step": 190
|
143 |
},
|
144 |
{
|
145 |
"epoch": 0.5714285714285714,
|
146 |
+
"grad_norm": 3.168818712234497,
|
147 |
+
"learning_rate": 0.0004047619047619048,
|
148 |
+
"loss": 1.2619,
|
149 |
"step": 200
|
150 |
},
|
151 |
{
|
152 |
"epoch": 0.6,
|
153 |
+
"grad_norm": 2.7529921531677246,
|
154 |
+
"learning_rate": 0.0004,
|
155 |
+
"loss": 1.1871,
|
156 |
"step": 210
|
157 |
},
|
158 |
{
|
159 |
"epoch": 0.6285714285714286,
|
160 |
+
"grad_norm": 6.538937568664551,
|
161 |
+
"learning_rate": 0.00039523809523809526,
|
162 |
+
"loss": 1.268,
|
163 |
"step": 220
|
164 |
},
|
165 |
{
|
166 |
"epoch": 0.6571428571428571,
|
167 |
+
"grad_norm": 3.3910727500915527,
|
168 |
+
"learning_rate": 0.0003904761904761905,
|
169 |
+
"loss": 1.4192,
|
170 |
"step": 230
|
171 |
},
|
172 |
{
|
173 |
"epoch": 0.6857142857142857,
|
174 |
+
"grad_norm": 2.31817889213562,
|
175 |
+
"learning_rate": 0.0003857142857142857,
|
176 |
+
"loss": 1.2339,
|
177 |
"step": 240
|
178 |
},
|
179 |
{
|
180 |
"epoch": 0.7142857142857143,
|
181 |
+
"grad_norm": 2.8181235790252686,
|
182 |
+
"learning_rate": 0.00038095238095238096,
|
183 |
+
"loss": 1.3153,
|
184 |
"step": 250
|
185 |
},
|
186 |
{
|
187 |
"epoch": 0.7428571428571429,
|
188 |
+
"grad_norm": 2.5716922283172607,
|
189 |
+
"learning_rate": 0.0003761904761904762,
|
190 |
+
"loss": 1.2066,
|
191 |
"step": 260
|
192 |
},
|
193 |
{
|
194 |
"epoch": 0.7714285714285715,
|
195 |
+
"grad_norm": 5.403870105743408,
|
196 |
+
"learning_rate": 0.00037142857142857143,
|
197 |
+
"loss": 1.2784,
|
198 |
"step": 270
|
199 |
},
|
200 |
{
|
201 |
"epoch": 0.8,
|
202 |
+
"grad_norm": 3.347729206085205,
|
203 |
+
"learning_rate": 0.00036666666666666667,
|
204 |
+
"loss": 1.2273,
|
205 |
"step": 280
|
206 |
},
|
207 |
{
|
208 |
"epoch": 0.8285714285714286,
|
209 |
+
"grad_norm": 2.7995996475219727,
|
210 |
+
"learning_rate": 0.0003619047619047619,
|
211 |
+
"loss": 1.159,
|
212 |
"step": 290
|
213 |
},
|
214 |
{
|
215 |
"epoch": 0.8571428571428571,
|
216 |
+
"grad_norm": 3.817213535308838,
|
217 |
+
"learning_rate": 0.00035714285714285714,
|
218 |
+
"loss": 1.1146,
|
219 |
"step": 300
|
220 |
},
|
221 |
{
|
222 |
"epoch": 0.8857142857142857,
|
223 |
+
"grad_norm": 3.3239715099334717,
|
224 |
+
"learning_rate": 0.00035238095238095243,
|
225 |
+
"loss": 1.1513,
|
226 |
"step": 310
|
227 |
},
|
228 |
{
|
229 |
"epoch": 0.9142857142857143,
|
230 |
+
"grad_norm": 3.042973518371582,
|
231 |
+
"learning_rate": 0.0003476190476190476,
|
232 |
+
"loss": 1.3906,
|
233 |
"step": 320
|
234 |
},
|
235 |
{
|
236 |
"epoch": 0.9428571428571428,
|
237 |
+
"grad_norm": 2.8079681396484375,
|
238 |
+
"learning_rate": 0.00034285714285714285,
|
239 |
+
"loss": 1.1547,
|
240 |
"step": 330
|
241 |
},
|
242 |
{
|
243 |
"epoch": 0.9714285714285714,
|
244 |
+
"grad_norm": 6.39453649520874,
|
245 |
+
"learning_rate": 0.00033809523809523814,
|
246 |
+
"loss": 1.0989,
|
247 |
"step": 340
|
248 |
},
|
249 |
{
|
250 |
"epoch": 1.0,
|
251 |
+
"grad_norm": 5.739945411682129,
|
252 |
+
"learning_rate": 0.0003333333333333333,
|
253 |
+
"loss": 1.1563,
|
254 |
"step": 350
|
255 |
},
|
256 |
{
|
257 |
"epoch": 1.0,
|
258 |
+
"eval_loss": 1.064656376838684,
|
259 |
+
"eval_runtime": 16.5324,
|
260 |
+
"eval_samples_per_second": 12.097,
|
261 |
+
"eval_steps_per_second": 1.512,
|
262 |
"step": 350
|
263 |
}
|
264 |
],
|
|
|
279 |
"attributes": {}
|
280 |
}
|
281 |
},
|
282 |
+
"total_flos": 2094485471232000.0,
|
283 |
"train_batch_size": 8,
|
284 |
"trial_name": null,
|
285 |
"trial_params": null
|
checkpoint-350/training_args.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 5240
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:1982b07d8277b0bc7aaf4f34307bfaa24bd97b8994cd2c48e972769e68324f20
|
3 |
size 5240
|
checkpoint-700/adapter_config.json
CHANGED
@@ -20,8 +20,8 @@
|
|
20 |
"rank_pattern": {},
|
21 |
"revision": null,
|
22 |
"target_modules": [
|
23 |
-
"
|
24 |
-
"
|
25 |
],
|
26 |
"task_type": "CAUSAL_LM",
|
27 |
"use_dora": false,
|
|
|
20 |
"rank_pattern": {},
|
21 |
"revision": null,
|
22 |
"target_modules": [
|
23 |
+
"v_proj",
|
24 |
+
"q_proj"
|
25 |
],
|
26 |
"task_type": "CAUSAL_LM",
|
27 |
"use_dora": false,
|
checkpoint-700/adapter_model.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 3416264
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:272d892f181091df9c53c56b733b46487117c9ff3f709e43844e4925d4302ea6
|
3 |
size 3416264
|
checkpoint-700/optimizer.pt
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 6869818
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:2fdad2f22ddadb3c8130f49e48198958bf03d74f744708327044990e56b3d21a
|
3 |
size 6869818
|
checkpoint-700/rng_state.pth
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 14244
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:b50e1d829b6f58094a5a1390d8e3ee0aa39e25fa2ec141d6471b70ffb58c1ac3
|
3 |
size 14244
|
checkpoint-700/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 sha256:28b00ddbc3d3a3abe006434542557db9d921f0260b12618e776b614466247588
|
3 |
size 1064
|
checkpoint-700/trainer_state.json
CHANGED
@@ -10,508 +10,508 @@
|
|
10 |
"log_history": [
|
11 |
{
|
12 |
"epoch": 0.02857142857142857,
|
13 |
-
"grad_norm":
|
14 |
-
"learning_rate":
|
15 |
-
"loss":
|
16 |
"step": 10
|
17 |
},
|
18 |
{
|
19 |
"epoch": 0.05714285714285714,
|
20 |
-
"grad_norm":
|
21 |
-
"learning_rate":
|
22 |
-
"loss":
|
23 |
"step": 20
|
24 |
},
|
25 |
{
|
26 |
"epoch": 0.08571428571428572,
|
27 |
-
"grad_norm":
|
28 |
-
"learning_rate":
|
29 |
-
"loss":
|
30 |
"step": 30
|
31 |
},
|
32 |
{
|
33 |
"epoch": 0.11428571428571428,
|
34 |
-
"grad_norm":
|
35 |
-
"learning_rate":
|
36 |
-
"loss":
|
37 |
"step": 40
|
38 |
},
|
39 |
{
|
40 |
"epoch": 0.14285714285714285,
|
41 |
-
"grad_norm":
|
42 |
-
"learning_rate":
|
43 |
-
"loss":
|
44 |
"step": 50
|
45 |
},
|
46 |
{
|
47 |
"epoch": 0.17142857142857143,
|
48 |
-
"grad_norm": 5.
|
49 |
-
"learning_rate":
|
50 |
-
"loss": 1.
|
51 |
"step": 60
|
52 |
},
|
53 |
{
|
54 |
"epoch": 0.2,
|
55 |
-
"grad_norm":
|
56 |
-
"learning_rate":
|
57 |
-
"loss": 1.
|
58 |
"step": 70
|
59 |
},
|
60 |
{
|
61 |
"epoch": 0.22857142857142856,
|
62 |
-
"grad_norm":
|
63 |
-
"learning_rate":
|
64 |
-
"loss": 1.
|
65 |
"step": 80
|
66 |
},
|
67 |
{
|
68 |
"epoch": 0.2571428571428571,
|
69 |
-
"grad_norm":
|
70 |
-
"learning_rate":
|
71 |
-
"loss": 1.
|
72 |
"step": 90
|
73 |
},
|
74 |
{
|
75 |
"epoch": 0.2857142857142857,
|
76 |
-
"grad_norm": 7.
|
77 |
-
"learning_rate":
|
78 |
-
"loss": 1.
|
79 |
"step": 100
|
80 |
},
|
81 |
{
|
82 |
"epoch": 0.3142857142857143,
|
83 |
-
"grad_norm":
|
84 |
-
"learning_rate":
|
85 |
-
"loss": 1.
|
86 |
"step": 110
|
87 |
},
|
88 |
{
|
89 |
"epoch": 0.34285714285714286,
|
90 |
-
"grad_norm":
|
91 |
-
"learning_rate":
|
92 |
-
"loss": 1.
|
93 |
"step": 120
|
94 |
},
|
95 |
{
|
96 |
"epoch": 0.37142857142857144,
|
97 |
-
"grad_norm":
|
98 |
-
"learning_rate":
|
99 |
-
"loss": 1.
|
100 |
"step": 130
|
101 |
},
|
102 |
{
|
103 |
"epoch": 0.4,
|
104 |
-
"grad_norm":
|
105 |
-
"learning_rate":
|
106 |
-
"loss": 1.
|
107 |
"step": 140
|
108 |
},
|
109 |
{
|
110 |
"epoch": 0.42857142857142855,
|
111 |
-
"grad_norm":
|
112 |
-
"learning_rate":
|
113 |
-
"loss": 1.
|
114 |
"step": 150
|
115 |
},
|
116 |
{
|
117 |
"epoch": 0.45714285714285713,
|
118 |
-
"grad_norm":
|
119 |
-
"learning_rate":
|
120 |
-
"loss": 1.
|
121 |
"step": 160
|
122 |
},
|
123 |
{
|
124 |
"epoch": 0.4857142857142857,
|
125 |
-
"grad_norm":
|
126 |
-
"learning_rate":
|
127 |
-
"loss": 1.
|
128 |
"step": 170
|
129 |
},
|
130 |
{
|
131 |
"epoch": 0.5142857142857142,
|
132 |
-
"grad_norm":
|
133 |
-
"learning_rate":
|
134 |
-
"loss": 1.
|
135 |
"step": 180
|
136 |
},
|
137 |
{
|
138 |
"epoch": 0.5428571428571428,
|
139 |
-
"grad_norm":
|
140 |
-
"learning_rate":
|
141 |
-
"loss": 1.
|
142 |
"step": 190
|
143 |
},
|
144 |
{
|
145 |
"epoch": 0.5714285714285714,
|
146 |
-
"grad_norm":
|
147 |
-
"learning_rate":
|
148 |
-
"loss": 1.
|
149 |
"step": 200
|
150 |
},
|
151 |
{
|
152 |
"epoch": 0.6,
|
153 |
-
"grad_norm":
|
154 |
-
"learning_rate":
|
155 |
-
"loss": 1.
|
156 |
"step": 210
|
157 |
},
|
158 |
{
|
159 |
"epoch": 0.6285714285714286,
|
160 |
-
"grad_norm":
|
161 |
-
"learning_rate":
|
162 |
-
"loss": 1.
|
163 |
"step": 220
|
164 |
},
|
165 |
{
|
166 |
"epoch": 0.6571428571428571,
|
167 |
-
"grad_norm":
|
168 |
-
"learning_rate":
|
169 |
-
"loss": 1.
|
170 |
"step": 230
|
171 |
},
|
172 |
{
|
173 |
"epoch": 0.6857142857142857,
|
174 |
-
"grad_norm":
|
175 |
-
"learning_rate":
|
176 |
-
"loss": 1.
|
177 |
"step": 240
|
178 |
},
|
179 |
{
|
180 |
"epoch": 0.7142857142857143,
|
181 |
-
"grad_norm":
|
182 |
-
"learning_rate":
|
183 |
-
"loss": 1.
|
184 |
"step": 250
|
185 |
},
|
186 |
{
|
187 |
"epoch": 0.7428571428571429,
|
188 |
-
"grad_norm":
|
189 |
-
"learning_rate":
|
190 |
-
"loss": 1.
|
191 |
"step": 260
|
192 |
},
|
193 |
{
|
194 |
"epoch": 0.7714285714285715,
|
195 |
-
"grad_norm":
|
196 |
-
"learning_rate":
|
197 |
-
"loss": 1.
|
198 |
"step": 270
|
199 |
},
|
200 |
{
|
201 |
"epoch": 0.8,
|
202 |
-
"grad_norm":
|
203 |
-
"learning_rate":
|
204 |
-
"loss": 1.
|
205 |
"step": 280
|
206 |
},
|
207 |
{
|
208 |
"epoch": 0.8285714285714286,
|
209 |
-
"grad_norm":
|
210 |
-
"learning_rate":
|
211 |
-
"loss": 1.
|
212 |
"step": 290
|
213 |
},
|
214 |
{
|
215 |
"epoch": 0.8571428571428571,
|
216 |
-
"grad_norm":
|
217 |
-
"learning_rate":
|
218 |
-
"loss": 1.
|
219 |
"step": 300
|
220 |
},
|
221 |
{
|
222 |
"epoch": 0.8857142857142857,
|
223 |
-
"grad_norm":
|
224 |
-
"learning_rate":
|
225 |
-
"loss": 1.
|
226 |
"step": 310
|
227 |
},
|
228 |
{
|
229 |
"epoch": 0.9142857142857143,
|
230 |
-
"grad_norm":
|
231 |
-
"learning_rate":
|
232 |
-
"loss": 1.
|
233 |
"step": 320
|
234 |
},
|
235 |
{
|
236 |
"epoch": 0.9428571428571428,
|
237 |
-
"grad_norm":
|
238 |
-
"learning_rate":
|
239 |
-
"loss": 1.
|
240 |
"step": 330
|
241 |
},
|
242 |
{
|
243 |
"epoch": 0.9714285714285714,
|
244 |
-
"grad_norm":
|
245 |
-
"learning_rate":
|
246 |
-
"loss": 1.
|
247 |
"step": 340
|
248 |
},
|
249 |
{
|
250 |
"epoch": 1.0,
|
251 |
-
"grad_norm":
|
252 |
-
"learning_rate":
|
253 |
-
"loss": 1.
|
254 |
"step": 350
|
255 |
},
|
256 |
{
|
257 |
"epoch": 1.0,
|
258 |
-
"eval_loss": 1.
|
259 |
-
"eval_runtime": 16.
|
260 |
-
"eval_samples_per_second": 12.
|
261 |
-
"eval_steps_per_second": 1.
|
262 |
"step": 350
|
263 |
},
|
264 |
{
|
265 |
"epoch": 1.0285714285714285,
|
266 |
-
"grad_norm":
|
267 |
-
"learning_rate":
|
268 |
-
"loss": 1.
|
269 |
"step": 360
|
270 |
},
|
271 |
{
|
272 |
"epoch": 1.0571428571428572,
|
273 |
-
"grad_norm":
|
274 |
-
"learning_rate":
|
275 |
-
"loss": 1.
|
276 |
"step": 370
|
277 |
},
|
278 |
{
|
279 |
"epoch": 1.0857142857142856,
|
280 |
-
"grad_norm":
|
281 |
-
"learning_rate":
|
282 |
-
"loss": 1.
|
283 |
"step": 380
|
284 |
},
|
285 |
{
|
286 |
"epoch": 1.1142857142857143,
|
287 |
-
"grad_norm":
|
288 |
-
"learning_rate":
|
289 |
-
"loss": 1.
|
290 |
"step": 390
|
291 |
},
|
292 |
{
|
293 |
"epoch": 1.1428571428571428,
|
294 |
-
"grad_norm":
|
295 |
-
"learning_rate":
|
296 |
-
"loss": 1.
|
297 |
"step": 400
|
298 |
},
|
299 |
{
|
300 |
"epoch": 1.1714285714285715,
|
301 |
-
"grad_norm":
|
302 |
-
"learning_rate":
|
303 |
-
"loss": 1.
|
304 |
"step": 410
|
305 |
},
|
306 |
{
|
307 |
"epoch": 1.2,
|
308 |
-
"grad_norm":
|
309 |
-
"learning_rate":
|
310 |
-
"loss": 1.
|
311 |
"step": 420
|
312 |
},
|
313 |
{
|
314 |
"epoch": 1.2285714285714286,
|
315 |
-
"grad_norm":
|
316 |
-
"learning_rate":
|
317 |
-
"loss": 1.
|
318 |
"step": 430
|
319 |
},
|
320 |
{
|
321 |
"epoch": 1.2571428571428571,
|
322 |
-
"grad_norm":
|
323 |
-
"learning_rate":
|
324 |
-
"loss":
|
325 |
"step": 440
|
326 |
},
|
327 |
{
|
328 |
"epoch": 1.2857142857142856,
|
329 |
-
"grad_norm":
|
330 |
-
"learning_rate":
|
331 |
-
"loss": 1.
|
332 |
"step": 450
|
333 |
},
|
334 |
{
|
335 |
"epoch": 1.3142857142857143,
|
336 |
-
"grad_norm":
|
337 |
-
"learning_rate":
|
338 |
-
"loss": 1.
|
339 |
"step": 460
|
340 |
},
|
341 |
{
|
342 |
"epoch": 1.342857142857143,
|
343 |
-
"grad_norm":
|
344 |
-
"learning_rate":
|
345 |
-
"loss": 1.
|
346 |
"step": 470
|
347 |
},
|
348 |
{
|
349 |
"epoch": 1.3714285714285714,
|
350 |
-
"grad_norm":
|
351 |
-
"learning_rate":
|
352 |
-
"loss": 1.
|
353 |
"step": 480
|
354 |
},
|
355 |
{
|
356 |
"epoch": 1.4,
|
357 |
-
"grad_norm":
|
358 |
-
"learning_rate":
|
359 |
-
"loss": 1.
|
360 |
"step": 490
|
361 |
},
|
362 |
{
|
363 |
"epoch": 1.4285714285714286,
|
364 |
-
"grad_norm":
|
365 |
-
"learning_rate":
|
366 |
-
"loss":
|
367 |
"step": 500
|
368 |
},
|
369 |
{
|
370 |
"epoch": 1.457142857142857,
|
371 |
-
"grad_norm":
|
372 |
-
"learning_rate":
|
373 |
-
"loss":
|
374 |
"step": 510
|
375 |
},
|
376 |
{
|
377 |
"epoch": 1.4857142857142858,
|
378 |
-
"grad_norm":
|
379 |
-
"learning_rate":
|
380 |
-
"loss":
|
381 |
"step": 520
|
382 |
},
|
383 |
{
|
384 |
"epoch": 1.5142857142857142,
|
385 |
-
"grad_norm":
|
386 |
-
"learning_rate":
|
387 |
-
"loss":
|
388 |
"step": 530
|
389 |
},
|
390 |
{
|
391 |
"epoch": 1.5428571428571427,
|
392 |
-
"grad_norm":
|
393 |
-
"learning_rate":
|
394 |
-
"loss": 1.
|
395 |
"step": 540
|
396 |
},
|
397 |
{
|
398 |
"epoch": 1.5714285714285714,
|
399 |
-
"grad_norm":
|
400 |
-
"learning_rate":
|
401 |
-
"loss":
|
402 |
"step": 550
|
403 |
},
|
404 |
{
|
405 |
"epoch": 1.6,
|
406 |
-
"grad_norm":
|
407 |
-
"learning_rate":
|
408 |
-
"loss": 1.
|
409 |
"step": 560
|
410 |
},
|
411 |
{
|
412 |
"epoch": 1.6285714285714286,
|
413 |
-
"grad_norm":
|
414 |
-
"learning_rate":
|
415 |
-
"loss": 1.
|
416 |
"step": 570
|
417 |
},
|
418 |
{
|
419 |
"epoch": 1.657142857142857,
|
420 |
-
"grad_norm":
|
421 |
-
"learning_rate":
|
422 |
-
"loss":
|
423 |
"step": 580
|
424 |
},
|
425 |
{
|
426 |
"epoch": 1.6857142857142857,
|
427 |
-
"grad_norm":
|
428 |
-
"learning_rate":
|
429 |
-
"loss": 1.
|
430 |
"step": 590
|
431 |
},
|
432 |
{
|
433 |
"epoch": 1.7142857142857144,
|
434 |
-
"grad_norm":
|
435 |
-
"learning_rate":
|
436 |
-
"loss":
|
437 |
"step": 600
|
438 |
},
|
439 |
{
|
440 |
"epoch": 1.7428571428571429,
|
441 |
-
"grad_norm":
|
442 |
-
"learning_rate":
|
443 |
-
"loss":
|
444 |
"step": 610
|
445 |
},
|
446 |
{
|
447 |
"epoch": 1.7714285714285714,
|
448 |
-
"grad_norm":
|
449 |
-
"learning_rate":
|
450 |
-
"loss":
|
451 |
"step": 620
|
452 |
},
|
453 |
{
|
454 |
"epoch": 1.8,
|
455 |
-
"grad_norm":
|
456 |
-
"learning_rate":
|
457 |
-
"loss": 1.
|
458 |
"step": 630
|
459 |
},
|
460 |
{
|
461 |
"epoch": 1.8285714285714287,
|
462 |
-
"grad_norm":
|
463 |
-
"learning_rate":
|
464 |
-
"loss": 1.
|
465 |
"step": 640
|
466 |
},
|
467 |
{
|
468 |
"epoch": 1.8571428571428572,
|
469 |
-
"grad_norm":
|
470 |
-
"learning_rate":
|
471 |
-
"loss":
|
472 |
"step": 650
|
473 |
},
|
474 |
{
|
475 |
"epoch": 1.8857142857142857,
|
476 |
-
"grad_norm":
|
477 |
-
"learning_rate":
|
478 |
-
"loss":
|
479 |
"step": 660
|
480 |
},
|
481 |
{
|
482 |
"epoch": 1.9142857142857141,
|
483 |
-
"grad_norm":
|
484 |
-
"learning_rate":
|
485 |
-
"loss":
|
486 |
"step": 670
|
487 |
},
|
488 |
{
|
489 |
"epoch": 1.9428571428571428,
|
490 |
-
"grad_norm":
|
491 |
-
"learning_rate":
|
492 |
-
"loss":
|
493 |
"step": 680
|
494 |
},
|
495 |
{
|
496 |
"epoch": 1.9714285714285715,
|
497 |
-
"grad_norm":
|
498 |
-
"learning_rate":
|
499 |
-
"loss":
|
500 |
"step": 690
|
501 |
},
|
502 |
{
|
503 |
"epoch": 2.0,
|
504 |
-
"grad_norm":
|
505 |
-
"learning_rate":
|
506 |
-
"loss":
|
507 |
"step": 700
|
508 |
},
|
509 |
{
|
510 |
"epoch": 2.0,
|
511 |
-
"eval_loss":
|
512 |
-
"eval_runtime": 16.
|
513 |
-
"eval_samples_per_second": 12.
|
514 |
-
"eval_steps_per_second": 1.
|
515 |
"step": 700
|
516 |
}
|
517 |
],
|
@@ -532,7 +532,7 @@
|
|
532 |
"attributes": {}
|
533 |
}
|
534 |
},
|
535 |
-
"total_flos":
|
536 |
"train_batch_size": 8,
|
537 |
"trial_name": null,
|
538 |
"trial_params": null
|
|
|
10 |
"log_history": [
|
11 |
{
|
12 |
"epoch": 0.02857142857142857,
|
13 |
+
"grad_norm": 5.210493087768555,
|
14 |
+
"learning_rate": 0.0004952380952380952,
|
15 |
+
"loss": 4.4131,
|
16 |
"step": 10
|
17 |
},
|
18 |
{
|
19 |
"epoch": 0.05714285714285714,
|
20 |
+
"grad_norm": 3.571948528289795,
|
21 |
+
"learning_rate": 0.0004904761904761905,
|
22 |
+
"loss": 2.5476,
|
23 |
"step": 20
|
24 |
},
|
25 |
{
|
26 |
"epoch": 0.08571428571428572,
|
27 |
+
"grad_norm": 2.640848398208618,
|
28 |
+
"learning_rate": 0.0004857142857142857,
|
29 |
+
"loss": 2.2491,
|
30 |
"step": 30
|
31 |
},
|
32 |
{
|
33 |
"epoch": 0.11428571428571428,
|
34 |
+
"grad_norm": 2.6611335277557373,
|
35 |
+
"learning_rate": 0.00048095238095238095,
|
36 |
+
"loss": 2.0477,
|
37 |
"step": 40
|
38 |
},
|
39 |
{
|
40 |
"epoch": 0.14285714285714285,
|
41 |
+
"grad_norm": 2.608750581741333,
|
42 |
+
"learning_rate": 0.0004761904761904762,
|
43 |
+
"loss": 2.028,
|
44 |
"step": 50
|
45 |
},
|
46 |
{
|
47 |
"epoch": 0.17142857142857143,
|
48 |
+
"grad_norm": 5.034807205200195,
|
49 |
+
"learning_rate": 0.0004714285714285714,
|
50 |
+
"loss": 1.7871,
|
51 |
"step": 60
|
52 |
},
|
53 |
{
|
54 |
"epoch": 0.2,
|
55 |
+
"grad_norm": 3.5893642902374268,
|
56 |
+
"learning_rate": 0.00046666666666666666,
|
57 |
+
"loss": 1.7879,
|
58 |
"step": 70
|
59 |
},
|
60 |
{
|
61 |
"epoch": 0.22857142857142856,
|
62 |
+
"grad_norm": 5.368953227996826,
|
63 |
+
"learning_rate": 0.00046190476190476195,
|
64 |
+
"loss": 1.8194,
|
65 |
"step": 80
|
66 |
},
|
67 |
{
|
68 |
"epoch": 0.2571428571428571,
|
69 |
+
"grad_norm": 3.7377731800079346,
|
70 |
+
"learning_rate": 0.00045714285714285713,
|
71 |
+
"loss": 1.6159,
|
72 |
"step": 90
|
73 |
},
|
74 |
{
|
75 |
"epoch": 0.2857142857142857,
|
76 |
+
"grad_norm": 7.883308410644531,
|
77 |
+
"learning_rate": 0.00045238095238095237,
|
78 |
+
"loss": 1.6244,
|
79 |
"step": 100
|
80 |
},
|
81 |
{
|
82 |
"epoch": 0.3142857142857143,
|
83 |
+
"grad_norm": 4.968689918518066,
|
84 |
+
"learning_rate": 0.00044761904761904766,
|
85 |
+
"loss": 1.6614,
|
86 |
"step": 110
|
87 |
},
|
88 |
{
|
89 |
"epoch": 0.34285714285714286,
|
90 |
+
"grad_norm": 2.592766046524048,
|
91 |
+
"learning_rate": 0.00044285714285714284,
|
92 |
+
"loss": 1.349,
|
93 |
"step": 120
|
94 |
},
|
95 |
{
|
96 |
"epoch": 0.37142857142857144,
|
97 |
+
"grad_norm": 2.783951997756958,
|
98 |
+
"learning_rate": 0.0004380952380952381,
|
99 |
+
"loss": 1.5065,
|
100 |
"step": 130
|
101 |
},
|
102 |
{
|
103 |
"epoch": 0.4,
|
104 |
+
"grad_norm": 5.2810378074646,
|
105 |
+
"learning_rate": 0.00043333333333333337,
|
106 |
+
"loss": 1.3934,
|
107 |
"step": 140
|
108 |
},
|
109 |
{
|
110 |
"epoch": 0.42857142857142855,
|
111 |
+
"grad_norm": 4.448086261749268,
|
112 |
+
"learning_rate": 0.00042857142857142855,
|
113 |
+
"loss": 1.5198,
|
114 |
"step": 150
|
115 |
},
|
116 |
{
|
117 |
"epoch": 0.45714285714285713,
|
118 |
+
"grad_norm": 3.211707353591919,
|
119 |
+
"learning_rate": 0.0004238095238095238,
|
120 |
+
"loss": 1.6207,
|
121 |
"step": 160
|
122 |
},
|
123 |
{
|
124 |
"epoch": 0.4857142857142857,
|
125 |
+
"grad_norm": 3.586463212966919,
|
126 |
+
"learning_rate": 0.0004190476190476191,
|
127 |
+
"loss": 1.2687,
|
128 |
"step": 170
|
129 |
},
|
130 |
{
|
131 |
"epoch": 0.5142857142857142,
|
132 |
+
"grad_norm": 2.6598610877990723,
|
133 |
+
"learning_rate": 0.0004142857142857143,
|
134 |
+
"loss": 1.3957,
|
135 |
"step": 180
|
136 |
},
|
137 |
{
|
138 |
"epoch": 0.5428571428571428,
|
139 |
+
"grad_norm": 3.480663776397705,
|
140 |
+
"learning_rate": 0.00040952380952380955,
|
141 |
+
"loss": 1.3543,
|
142 |
"step": 190
|
143 |
},
|
144 |
{
|
145 |
"epoch": 0.5714285714285714,
|
146 |
+
"grad_norm": 3.168818712234497,
|
147 |
+
"learning_rate": 0.0004047619047619048,
|
148 |
+
"loss": 1.2619,
|
149 |
"step": 200
|
150 |
},
|
151 |
{
|
152 |
"epoch": 0.6,
|
153 |
+
"grad_norm": 2.7529921531677246,
|
154 |
+
"learning_rate": 0.0004,
|
155 |
+
"loss": 1.1871,
|
156 |
"step": 210
|
157 |
},
|
158 |
{
|
159 |
"epoch": 0.6285714285714286,
|
160 |
+
"grad_norm": 6.538937568664551,
|
161 |
+
"learning_rate": 0.00039523809523809526,
|
162 |
+
"loss": 1.268,
|
163 |
"step": 220
|
164 |
},
|
165 |
{
|
166 |
"epoch": 0.6571428571428571,
|
167 |
+
"grad_norm": 3.3910727500915527,
|
168 |
+
"learning_rate": 0.0003904761904761905,
|
169 |
+
"loss": 1.4192,
|
170 |
"step": 230
|
171 |
},
|
172 |
{
|
173 |
"epoch": 0.6857142857142857,
|
174 |
+
"grad_norm": 2.31817889213562,
|
175 |
+
"learning_rate": 0.0003857142857142857,
|
176 |
+
"loss": 1.2339,
|
177 |
"step": 240
|
178 |
},
|
179 |
{
|
180 |
"epoch": 0.7142857142857143,
|
181 |
+
"grad_norm": 2.8181235790252686,
|
182 |
+
"learning_rate": 0.00038095238095238096,
|
183 |
+
"loss": 1.3153,
|
184 |
"step": 250
|
185 |
},
|
186 |
{
|
187 |
"epoch": 0.7428571428571429,
|
188 |
+
"grad_norm": 2.5716922283172607,
|
189 |
+
"learning_rate": 0.0003761904761904762,
|
190 |
+
"loss": 1.2066,
|
191 |
"step": 260
|
192 |
},
|
193 |
{
|
194 |
"epoch": 0.7714285714285715,
|
195 |
+
"grad_norm": 5.403870105743408,
|
196 |
+
"learning_rate": 0.00037142857142857143,
|
197 |
+
"loss": 1.2784,
|
198 |
"step": 270
|
199 |
},
|
200 |
{
|
201 |
"epoch": 0.8,
|
202 |
+
"grad_norm": 3.347729206085205,
|
203 |
+
"learning_rate": 0.00036666666666666667,
|
204 |
+
"loss": 1.2273,
|
205 |
"step": 280
|
206 |
},
|
207 |
{
|
208 |
"epoch": 0.8285714285714286,
|
209 |
+
"grad_norm": 2.7995996475219727,
|
210 |
+
"learning_rate": 0.0003619047619047619,
|
211 |
+
"loss": 1.159,
|
212 |
"step": 290
|
213 |
},
|
214 |
{
|
215 |
"epoch": 0.8571428571428571,
|
216 |
+
"grad_norm": 3.817213535308838,
|
217 |
+
"learning_rate": 0.00035714285714285714,
|
218 |
+
"loss": 1.1146,
|
219 |
"step": 300
|
220 |
},
|
221 |
{
|
222 |
"epoch": 0.8857142857142857,
|
223 |
+
"grad_norm": 3.3239715099334717,
|
224 |
+
"learning_rate": 0.00035238095238095243,
|
225 |
+
"loss": 1.1513,
|
226 |
"step": 310
|
227 |
},
|
228 |
{
|
229 |
"epoch": 0.9142857142857143,
|
230 |
+
"grad_norm": 3.042973518371582,
|
231 |
+
"learning_rate": 0.0003476190476190476,
|
232 |
+
"loss": 1.3906,
|
233 |
"step": 320
|
234 |
},
|
235 |
{
|
236 |
"epoch": 0.9428571428571428,
|
237 |
+
"grad_norm": 2.8079681396484375,
|
238 |
+
"learning_rate": 0.00034285714285714285,
|
239 |
+
"loss": 1.1547,
|
240 |
"step": 330
|
241 |
},
|
242 |
{
|
243 |
"epoch": 0.9714285714285714,
|
244 |
+
"grad_norm": 6.39453649520874,
|
245 |
+
"learning_rate": 0.00033809523809523814,
|
246 |
+
"loss": 1.0989,
|
247 |
"step": 340
|
248 |
},
|
249 |
{
|
250 |
"epoch": 1.0,
|
251 |
+
"grad_norm": 5.739945411682129,
|
252 |
+
"learning_rate": 0.0003333333333333333,
|
253 |
+
"loss": 1.1563,
|
254 |
"step": 350
|
255 |
},
|
256 |
{
|
257 |
"epoch": 1.0,
|
258 |
+
"eval_loss": 1.064656376838684,
|
259 |
+
"eval_runtime": 16.5324,
|
260 |
+
"eval_samples_per_second": 12.097,
|
261 |
+
"eval_steps_per_second": 1.512,
|
262 |
"step": 350
|
263 |
},
|
264 |
{
|
265 |
"epoch": 1.0285714285714285,
|
266 |
+
"grad_norm": 5.899299144744873,
|
267 |
+
"learning_rate": 0.00032857142857142856,
|
268 |
+
"loss": 1.0649,
|
269 |
"step": 360
|
270 |
},
|
271 |
{
|
272 |
"epoch": 1.0571428571428572,
|
273 |
+
"grad_norm": 3.3639721870422363,
|
274 |
+
"learning_rate": 0.00032380952380952385,
|
275 |
+
"loss": 1.1595,
|
276 |
"step": 370
|
277 |
},
|
278 |
{
|
279 |
"epoch": 1.0857142857142856,
|
280 |
+
"grad_norm": 2.811561346054077,
|
281 |
+
"learning_rate": 0.00031904761904761903,
|
282 |
+
"loss": 1.0871,
|
283 |
"step": 380
|
284 |
},
|
285 |
{
|
286 |
"epoch": 1.1142857142857143,
|
287 |
+
"grad_norm": 2.6730055809020996,
|
288 |
+
"learning_rate": 0.00031428571428571427,
|
289 |
+
"loss": 1.0294,
|
290 |
"step": 390
|
291 |
},
|
292 |
{
|
293 |
"epoch": 1.1428571428571428,
|
294 |
+
"grad_norm": 5.02337646484375,
|
295 |
+
"learning_rate": 0.00030952380952380956,
|
296 |
+
"loss": 1.0844,
|
297 |
"step": 400
|
298 |
},
|
299 |
{
|
300 |
"epoch": 1.1714285714285715,
|
301 |
+
"grad_norm": 4.188799858093262,
|
302 |
+
"learning_rate": 0.0003047619047619048,
|
303 |
+
"loss": 1.0464,
|
304 |
"step": 410
|
305 |
},
|
306 |
{
|
307 |
"epoch": 1.2,
|
308 |
+
"grad_norm": 5.055841445922852,
|
309 |
+
"learning_rate": 0.0003,
|
310 |
+
"loss": 1.1078,
|
311 |
"step": 420
|
312 |
},
|
313 |
{
|
314 |
"epoch": 1.2285714285714286,
|
315 |
+
"grad_norm": 8.09494400024414,
|
316 |
+
"learning_rate": 0.00029523809523809526,
|
317 |
+
"loss": 1.0539,
|
318 |
"step": 430
|
319 |
},
|
320 |
{
|
321 |
"epoch": 1.2571428571428571,
|
322 |
+
"grad_norm": 3.012653112411499,
|
323 |
+
"learning_rate": 0.0002904761904761905,
|
324 |
+
"loss": 0.927,
|
325 |
"step": 440
|
326 |
},
|
327 |
{
|
328 |
"epoch": 1.2857142857142856,
|
329 |
+
"grad_norm": 8.38936710357666,
|
330 |
+
"learning_rate": 0.0002857142857142857,
|
331 |
+
"loss": 1.2209,
|
332 |
"step": 450
|
333 |
},
|
334 |
{
|
335 |
"epoch": 1.3142857142857143,
|
336 |
+
"grad_norm": 4.191105365753174,
|
337 |
+
"learning_rate": 0.00028095238095238097,
|
338 |
+
"loss": 1.0086,
|
339 |
"step": 460
|
340 |
},
|
341 |
{
|
342 |
"epoch": 1.342857142857143,
|
343 |
+
"grad_norm": 2.9886045455932617,
|
344 |
+
"learning_rate": 0.0002761904761904762,
|
345 |
+
"loss": 1.0788,
|
346 |
"step": 470
|
347 |
},
|
348 |
{
|
349 |
"epoch": 1.3714285714285714,
|
350 |
+
"grad_norm": 3.5892975330352783,
|
351 |
+
"learning_rate": 0.0002714285714285714,
|
352 |
+
"loss": 1.0877,
|
353 |
"step": 480
|
354 |
},
|
355 |
{
|
356 |
"epoch": 1.4,
|
357 |
+
"grad_norm": 4.504238128662109,
|
358 |
+
"learning_rate": 0.0002666666666666667,
|
359 |
+
"loss": 1.0066,
|
360 |
"step": 490
|
361 |
},
|
362 |
{
|
363 |
"epoch": 1.4285714285714286,
|
364 |
+
"grad_norm": 3.601853132247925,
|
365 |
+
"learning_rate": 0.0002619047619047619,
|
366 |
+
"loss": 0.9915,
|
367 |
"step": 500
|
368 |
},
|
369 |
{
|
370 |
"epoch": 1.457142857142857,
|
371 |
+
"grad_norm": 4.008484840393066,
|
372 |
+
"learning_rate": 0.0002571428571428571,
|
373 |
+
"loss": 0.9651,
|
374 |
"step": 510
|
375 |
},
|
376 |
{
|
377 |
"epoch": 1.4857142857142858,
|
378 |
+
"grad_norm": 5.5403900146484375,
|
379 |
+
"learning_rate": 0.0002523809523809524,
|
380 |
+
"loss": 0.9018,
|
381 |
"step": 520
|
382 |
},
|
383 |
{
|
384 |
"epoch": 1.5142857142857142,
|
385 |
+
"grad_norm": 3.526982069015503,
|
386 |
+
"learning_rate": 0.0002476190476190476,
|
387 |
+
"loss": 0.9588,
|
388 |
"step": 530
|
389 |
},
|
390 |
{
|
391 |
"epoch": 1.5428571428571427,
|
392 |
+
"grad_norm": 3.666804075241089,
|
393 |
+
"learning_rate": 0.00024285714285714286,
|
394 |
+
"loss": 1.0092,
|
395 |
"step": 540
|
396 |
},
|
397 |
{
|
398 |
"epoch": 1.5714285714285714,
|
399 |
+
"grad_norm": 3.4340310096740723,
|
400 |
+
"learning_rate": 0.0002380952380952381,
|
401 |
+
"loss": 0.9342,
|
402 |
"step": 550
|
403 |
},
|
404 |
{
|
405 |
"epoch": 1.6,
|
406 |
+
"grad_norm": 5.815408229827881,
|
407 |
+
"learning_rate": 0.00023333333333333333,
|
408 |
+
"loss": 1.0666,
|
409 |
"step": 560
|
410 |
},
|
411 |
{
|
412 |
"epoch": 1.6285714285714286,
|
413 |
+
"grad_norm": 2.7780840396881104,
|
414 |
+
"learning_rate": 0.00022857142857142857,
|
415 |
+
"loss": 1.1026,
|
416 |
"step": 570
|
417 |
},
|
418 |
{
|
419 |
"epoch": 1.657142857142857,
|
420 |
+
"grad_norm": 3.8484044075012207,
|
421 |
+
"learning_rate": 0.00022380952380952383,
|
422 |
+
"loss": 0.937,
|
423 |
"step": 580
|
424 |
},
|
425 |
{
|
426 |
"epoch": 1.6857142857142857,
|
427 |
+
"grad_norm": 3.819007635116577,
|
428 |
+
"learning_rate": 0.00021904761904761904,
|
429 |
+
"loss": 1.1247,
|
430 |
"step": 590
|
431 |
},
|
432 |
{
|
433 |
"epoch": 1.7142857142857144,
|
434 |
+
"grad_norm": 3.8324477672576904,
|
435 |
+
"learning_rate": 0.00021428571428571427,
|
436 |
+
"loss": 0.9961,
|
437 |
"step": 600
|
438 |
},
|
439 |
{
|
440 |
"epoch": 1.7428571428571429,
|
441 |
+
"grad_norm": 3.2769389152526855,
|
442 |
+
"learning_rate": 0.00020952380952380954,
|
443 |
+
"loss": 0.9987,
|
444 |
"step": 610
|
445 |
},
|
446 |
{
|
447 |
"epoch": 1.7714285714285714,
|
448 |
+
"grad_norm": 5.3248443603515625,
|
449 |
+
"learning_rate": 0.00020476190476190477,
|
450 |
+
"loss": 0.9219,
|
451 |
"step": 620
|
452 |
},
|
453 |
{
|
454 |
"epoch": 1.8,
|
455 |
+
"grad_norm": 2.6656081676483154,
|
456 |
+
"learning_rate": 0.0002,
|
457 |
+
"loss": 1.0293,
|
458 |
"step": 630
|
459 |
},
|
460 |
{
|
461 |
"epoch": 1.8285714285714287,
|
462 |
+
"grad_norm": 2.6429567337036133,
|
463 |
+
"learning_rate": 0.00019523809523809525,
|
464 |
+
"loss": 1.0106,
|
465 |
"step": 640
|
466 |
},
|
467 |
{
|
468 |
"epoch": 1.8571428571428572,
|
469 |
+
"grad_norm": 4.4341864585876465,
|
470 |
+
"learning_rate": 0.00019047619047619048,
|
471 |
+
"loss": 0.8426,
|
472 |
"step": 650
|
473 |
},
|
474 |
{
|
475 |
"epoch": 1.8857142857142857,
|
476 |
+
"grad_norm": 4.535873889923096,
|
477 |
+
"learning_rate": 0.00018571428571428572,
|
478 |
+
"loss": 0.9335,
|
479 |
"step": 660
|
480 |
},
|
481 |
{
|
482 |
"epoch": 1.9142857142857141,
|
483 |
+
"grad_norm": 4.100979328155518,
|
484 |
+
"learning_rate": 0.00018095238095238095,
|
485 |
+
"loss": 0.9936,
|
486 |
"step": 670
|
487 |
},
|
488 |
{
|
489 |
"epoch": 1.9428571428571428,
|
490 |
+
"grad_norm": 4.034025192260742,
|
491 |
+
"learning_rate": 0.00017619047619047622,
|
492 |
+
"loss": 0.9305,
|
493 |
"step": 680
|
494 |
},
|
495 |
{
|
496 |
"epoch": 1.9714285714285715,
|
497 |
+
"grad_norm": 3.618300676345825,
|
498 |
+
"learning_rate": 0.00017142857142857143,
|
499 |
+
"loss": 0.975,
|
500 |
"step": 690
|
501 |
},
|
502 |
{
|
503 |
"epoch": 2.0,
|
504 |
+
"grad_norm": 3.0254437923431396,
|
505 |
+
"learning_rate": 0.00016666666666666666,
|
506 |
+
"loss": 0.997,
|
507 |
"step": 700
|
508 |
},
|
509 |
{
|
510 |
"epoch": 2.0,
|
511 |
+
"eval_loss": 0.893572211265564,
|
512 |
+
"eval_runtime": 16.613,
|
513 |
+
"eval_samples_per_second": 12.039,
|
514 |
+
"eval_steps_per_second": 1.505,
|
515 |
"step": 700
|
516 |
}
|
517 |
],
|
|
|
532 |
"attributes": {}
|
533 |
}
|
534 |
},
|
535 |
+
"total_flos": 4188970942464000.0,
|
536 |
"train_batch_size": 8,
|
537 |
"trial_name": null,
|
538 |
"trial_params": null
|
checkpoint-700/training_args.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 5240
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:1982b07d8277b0bc7aaf4f34307bfaa24bd97b8994cd2c48e972769e68324f20
|
3 |
size 5240
|
training_args.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 5240
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:1982b07d8277b0bc7aaf4f34307bfaa24bd97b8994cd2c48e972769e68324f20
|
3 |
size 5240
|