CreatorPhan
commited on
Commit
•
3f18f31
1
Parent(s):
7c86f55
Upload folder using huggingface_hub
Browse files- README.md +1 -2
- adapter_model.bin +1 -1
- checkpoint-100/README.md +2 -4
- checkpoint-100/adapter_model.bin +1 -1
- checkpoint-100/optimizer.pt +2 -2
- checkpoint-100/rng_state.pth +1 -1
- checkpoint-100/trainer_state.json +203 -206
- checkpoint-100/training_args.bin +2 -2
- training_args.bin +2 -2
README.md
CHANGED
@@ -5,7 +5,6 @@ library_name: peft
|
|
5 |
|
6 |
|
7 |
The following `bitsandbytes` quantization config was used during training:
|
8 |
-
- quant_method: bitsandbytes
|
9 |
- load_in_8bit: True
|
10 |
- load_in_4bit: False
|
11 |
- llm_int8_threshold: 6.0
|
@@ -18,4 +17,4 @@ The following `bitsandbytes` quantization config was used during training:
|
|
18 |
### Framework versions
|
19 |
|
20 |
|
21 |
-
- PEFT 0.
|
|
|
5 |
|
6 |
|
7 |
The following `bitsandbytes` quantization config was used during training:
|
|
|
8 |
- load_in_8bit: True
|
9 |
- load_in_4bit: False
|
10 |
- llm_int8_threshold: 6.0
|
|
|
17 |
### Framework versions
|
18 |
|
19 |
|
20 |
+
- PEFT 0.4.0
|
adapter_model.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 39409357
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:3c57a457d1ce624c042cf5f076804ef0ce9ab9b3e07fef0a29dce7b58311b6c6
|
3 |
size 39409357
|
checkpoint-100/README.md
CHANGED
@@ -5,7 +5,6 @@ library_name: peft
|
|
5 |
|
6 |
|
7 |
The following `bitsandbytes` quantization config was used during training:
|
8 |
-
- quant_method: bitsandbytes
|
9 |
- load_in_8bit: True
|
10 |
- load_in_4bit: False
|
11 |
- llm_int8_threshold: 6.0
|
@@ -17,7 +16,6 @@ The following `bitsandbytes` quantization config was used during training:
|
|
17 |
- bnb_4bit_compute_dtype: float32
|
18 |
|
19 |
The following `bitsandbytes` quantization config was used during training:
|
20 |
-
- quant_method: bitsandbytes
|
21 |
- load_in_8bit: True
|
22 |
- load_in_4bit: False
|
23 |
- llm_int8_threshold: 6.0
|
@@ -29,6 +27,6 @@ The following `bitsandbytes` quantization config was used during training:
|
|
29 |
- bnb_4bit_compute_dtype: float32
|
30 |
### Framework versions
|
31 |
|
32 |
-
- PEFT 0.
|
33 |
|
34 |
-
- PEFT 0.
|
|
|
5 |
|
6 |
|
7 |
The following `bitsandbytes` quantization config was used during training:
|
|
|
8 |
- load_in_8bit: True
|
9 |
- load_in_4bit: False
|
10 |
- llm_int8_threshold: 6.0
|
|
|
16 |
- bnb_4bit_compute_dtype: float32
|
17 |
|
18 |
The following `bitsandbytes` quantization config was used during training:
|
|
|
19 |
- load_in_8bit: True
|
20 |
- load_in_4bit: False
|
21 |
- llm_int8_threshold: 6.0
|
|
|
27 |
- bnb_4bit_compute_dtype: float32
|
28 |
### Framework versions
|
29 |
|
30 |
+
- PEFT 0.4.0
|
31 |
|
32 |
+
- PEFT 0.4.0
|
checkpoint-100/adapter_model.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 39409357
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:044e3971abe97a7f3b70569e01834ebc3e8f0ca21682fb1b3a18c6f125bb4e8c
|
3 |
size 39409357
|
checkpoint-100/optimizer.pt
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
-
size
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:1ea58d9361a5148e15d11e309e14ba6ee6dba57f3cc0ab6da8fd515b70f6ce64
|
3 |
+
size 78784709
|
checkpoint-100/rng_state.pth
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 14575
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:7508d4b8dd267de5cc58e972da25236687927651336a28f292c92f7f23951475
|
3 |
size 14575
|
checkpoint-100/trainer_state.json
CHANGED
@@ -1,619 +1,616 @@
|
|
1 |
{
|
2 |
"best_metric": null,
|
3 |
"best_model_checkpoint": null,
|
4 |
-
"epoch":
|
5 |
-
"eval_steps": 500,
|
6 |
"global_step": 100,
|
7 |
"is_hyper_param_search": false,
|
8 |
"is_local_process_zero": true,
|
9 |
"is_world_process_zero": true,
|
10 |
"log_history": [
|
11 |
{
|
12 |
-
"epoch": 0.
|
13 |
"learning_rate": 0.00099375,
|
14 |
-
"loss": 2.
|
15 |
"step": 1
|
16 |
},
|
17 |
{
|
18 |
-
"epoch": 0.
|
19 |
"learning_rate": 0.0009875,
|
20 |
-
"loss": 2.
|
21 |
"step": 2
|
22 |
},
|
23 |
{
|
24 |
-
"epoch": 0.
|
25 |
"learning_rate": 0.00098125,
|
26 |
-
"loss": 2.
|
27 |
"step": 3
|
28 |
},
|
29 |
{
|
30 |
-
"epoch": 0.
|
31 |
"learning_rate": 0.000975,
|
32 |
-
"loss": 2.
|
33 |
"step": 4
|
34 |
},
|
35 |
{
|
36 |
-
"epoch": 0.
|
37 |
"learning_rate": 0.00096875,
|
38 |
-
"loss": 2.
|
39 |
"step": 5
|
40 |
},
|
41 |
{
|
42 |
-
"epoch": 0.
|
43 |
"learning_rate": 0.0009625,
|
44 |
-
"loss": 2.
|
45 |
"step": 6
|
46 |
},
|
47 |
{
|
48 |
-
"epoch": 0.
|
49 |
"learning_rate": 0.0009562500000000001,
|
50 |
-
"loss": 2.
|
51 |
"step": 7
|
52 |
},
|
53 |
{
|
54 |
-
"epoch": 0.
|
55 |
"learning_rate": 0.00095,
|
56 |
-
"loss": 2.
|
57 |
"step": 8
|
58 |
},
|
59 |
{
|
60 |
-
"epoch": 0.
|
61 |
"learning_rate": 0.00094375,
|
62 |
-
"loss": 2.
|
63 |
"step": 9
|
64 |
},
|
65 |
{
|
66 |
-
"epoch": 0.
|
67 |
"learning_rate": 0.0009375,
|
68 |
-
"loss": 2.
|
69 |
"step": 10
|
70 |
},
|
71 |
{
|
72 |
-
"epoch": 0.
|
73 |
"learning_rate": 0.00093125,
|
74 |
-
"loss": 2.
|
75 |
"step": 11
|
76 |
},
|
77 |
{
|
78 |
-
"epoch": 0.
|
79 |
"learning_rate": 0.000925,
|
80 |
-
"loss": 2.
|
81 |
"step": 12
|
82 |
},
|
83 |
{
|
84 |
-
"epoch": 0.
|
85 |
"learning_rate": 0.00091875,
|
86 |
-
"loss": 2.
|
87 |
"step": 13
|
88 |
},
|
89 |
{
|
90 |
-
"epoch": 0.
|
91 |
"learning_rate": 0.0009125,
|
92 |
-
"loss": 2.
|
93 |
"step": 14
|
94 |
},
|
95 |
{
|
96 |
-
"epoch": 0.
|
97 |
"learning_rate": 0.00090625,
|
98 |
-
"loss": 2.
|
99 |
"step": 15
|
100 |
},
|
101 |
{
|
102 |
-
"epoch": 0.
|
103 |
"learning_rate": 0.0009000000000000001,
|
104 |
-
"loss": 2.
|
105 |
"step": 16
|
106 |
},
|
107 |
{
|
108 |
-
"epoch": 0.
|
109 |
"learning_rate": 0.00089375,
|
110 |
-
"loss": 2.
|
111 |
"step": 17
|
112 |
},
|
113 |
{
|
114 |
-
"epoch": 0.
|
115 |
"learning_rate": 0.0008874999999999999,
|
116 |
-
"loss": 2.
|
117 |
"step": 18
|
118 |
},
|
119 |
{
|
120 |
-
"epoch": 0.
|
121 |
"learning_rate": 0.00088125,
|
122 |
-
"loss": 2.
|
123 |
"step": 19
|
124 |
},
|
125 |
{
|
126 |
-
"epoch": 0.
|
127 |
"learning_rate": 0.000875,
|
128 |
-
"loss": 2.
|
129 |
"step": 20
|
130 |
},
|
131 |
{
|
132 |
-
"epoch": 0.
|
133 |
"learning_rate": 0.0008687500000000001,
|
134 |
-
"loss": 2.
|
135 |
"step": 21
|
136 |
},
|
137 |
{
|
138 |
-
"epoch": 0.
|
139 |
"learning_rate": 0.0008625000000000001,
|
140 |
-
"loss": 2.
|
141 |
"step": 22
|
142 |
},
|
143 |
{
|
144 |
-
"epoch": 0.
|
145 |
"learning_rate": 0.00085625,
|
146 |
-
"loss": 2.
|
147 |
"step": 23
|
148 |
},
|
149 |
{
|
150 |
-
"epoch": 0.
|
151 |
"learning_rate": 0.00085,
|
152 |
-
"loss": 2.
|
153 |
"step": 24
|
154 |
},
|
155 |
{
|
156 |
-
"epoch": 0.
|
157 |
"learning_rate": 0.00084375,
|
158 |
-
"loss": 2.
|
159 |
"step": 25
|
160 |
},
|
161 |
{
|
162 |
-
"epoch": 0.
|
163 |
"learning_rate": 0.0008375,
|
164 |
-
"loss": 2.
|
165 |
"step": 26
|
166 |
},
|
167 |
{
|
168 |
-
"epoch": 0.
|
169 |
"learning_rate": 0.0008312500000000001,
|
170 |
-
"loss": 2.
|
171 |
"step": 27
|
172 |
},
|
173 |
{
|
174 |
-
"epoch": 0.
|
175 |
"learning_rate": 0.000825,
|
176 |
-
"loss": 2.
|
177 |
"step": 28
|
178 |
},
|
179 |
{
|
180 |
-
"epoch": 0.
|
181 |
"learning_rate": 0.00081875,
|
182 |
-
"loss": 2.
|
183 |
"step": 29
|
184 |
},
|
185 |
{
|
186 |
-
"epoch": 0.
|
187 |
"learning_rate": 0.0008125000000000001,
|
188 |
-
"loss": 2.
|
189 |
"step": 30
|
190 |
},
|
191 |
{
|
192 |
-
"epoch": 0.
|
193 |
"learning_rate": 0.00080625,
|
194 |
-
"loss": 2.
|
195 |
"step": 31
|
196 |
},
|
197 |
{
|
198 |
-
"epoch": 0.
|
199 |
"learning_rate": 0.0008,
|
200 |
-
"loss": 2.
|
201 |
"step": 32
|
202 |
},
|
203 |
{
|
204 |
-
"epoch": 0.
|
205 |
"learning_rate": 0.00079375,
|
206 |
-
"loss": 2.
|
207 |
"step": 33
|
208 |
},
|
209 |
{
|
210 |
-
"epoch": 0.
|
211 |
"learning_rate": 0.0007875,
|
212 |
-
"loss": 2.
|
213 |
"step": 34
|
214 |
},
|
215 |
{
|
216 |
-
"epoch": 0.
|
217 |
"learning_rate": 0.00078125,
|
218 |
-
"loss": 2.
|
219 |
"step": 35
|
220 |
},
|
221 |
{
|
222 |
-
"epoch": 0.
|
223 |
"learning_rate": 0.0007750000000000001,
|
224 |
-
"loss": 2.
|
225 |
"step": 36
|
226 |
},
|
227 |
{
|
228 |
-
"epoch": 0.
|
229 |
"learning_rate": 0.00076875,
|
230 |
-
"loss": 2.
|
231 |
"step": 37
|
232 |
},
|
233 |
{
|
234 |
-
"epoch": 0.
|
235 |
"learning_rate": 0.0007624999999999999,
|
236 |
-
"loss": 2.
|
237 |
"step": 38
|
238 |
},
|
239 |
{
|
240 |
-
"epoch": 0.
|
241 |
"learning_rate": 0.00075625,
|
242 |
-
"loss": 2.
|
243 |
"step": 39
|
244 |
},
|
245 |
{
|
246 |
-
"epoch": 0
|
247 |
"learning_rate": 0.00075,
|
248 |
-
"loss": 2.
|
249 |
"step": 40
|
250 |
},
|
251 |
{
|
252 |
-
"epoch":
|
253 |
"learning_rate": 0.00074375,
|
254 |
-
"loss": 2.
|
255 |
"step": 41
|
256 |
},
|
257 |
{
|
258 |
-
"epoch":
|
259 |
"learning_rate": 0.0007375000000000001,
|
260 |
-
"loss": 2.
|
261 |
"step": 42
|
262 |
},
|
263 |
{
|
264 |
-
"epoch":
|
265 |
"learning_rate": 0.00073125,
|
266 |
-
"loss": 2.
|
267 |
"step": 43
|
268 |
},
|
269 |
{
|
270 |
-
"epoch":
|
271 |
"learning_rate": 0.000725,
|
272 |
-
"loss": 2.
|
273 |
"step": 44
|
274 |
},
|
275 |
{
|
276 |
-
"epoch":
|
277 |
"learning_rate": 0.00071875,
|
278 |
-
"loss": 2.
|
279 |
"step": 45
|
280 |
},
|
281 |
{
|
282 |
-
"epoch":
|
283 |
"learning_rate": 0.0007125,
|
284 |
-
"loss": 2.
|
285 |
"step": 46
|
286 |
},
|
287 |
{
|
288 |
-
"epoch":
|
289 |
"learning_rate": 0.0007062500000000001,
|
290 |
-
"loss": 2.
|
291 |
"step": 47
|
292 |
},
|
293 |
{
|
294 |
-
"epoch":
|
295 |
"learning_rate": 0.0007,
|
296 |
-
"loss": 2.
|
297 |
"step": 48
|
298 |
},
|
299 |
{
|
300 |
-
"epoch":
|
301 |
"learning_rate": 0.00069375,
|
302 |
-
"loss": 2.
|
303 |
"step": 49
|
304 |
},
|
305 |
{
|
306 |
-
"epoch":
|
307 |
"learning_rate": 0.0006875,
|
308 |
-
"loss": 2.
|
309 |
"step": 50
|
310 |
},
|
311 |
{
|
312 |
-
"epoch":
|
313 |
"learning_rate": 0.00068125,
|
314 |
-
"loss": 2.
|
315 |
"step": 51
|
316 |
},
|
317 |
{
|
318 |
-
"epoch":
|
319 |
"learning_rate": 0.000675,
|
320 |
-
"loss": 2.
|
321 |
"step": 52
|
322 |
},
|
323 |
{
|
324 |
-
"epoch":
|
325 |
"learning_rate": 0.00066875,
|
326 |
-
"loss": 2.
|
327 |
"step": 53
|
328 |
},
|
329 |
{
|
330 |
-
"epoch":
|
331 |
"learning_rate": 0.0006625,
|
332 |
-
"loss": 2.
|
333 |
"step": 54
|
334 |
},
|
335 |
{
|
336 |
-
"epoch":
|
337 |
"learning_rate": 0.00065625,
|
338 |
-
"loss": 2.
|
339 |
"step": 55
|
340 |
},
|
341 |
{
|
342 |
-
"epoch":
|
343 |
"learning_rate": 0.0006500000000000001,
|
344 |
-
"loss": 2.
|
345 |
"step": 56
|
346 |
},
|
347 |
{
|
348 |
-
"epoch":
|
349 |
"learning_rate": 0.00064375,
|
350 |
-
"loss": 2.
|
351 |
"step": 57
|
352 |
},
|
353 |
{
|
354 |
-
"epoch":
|
355 |
"learning_rate": 0.0006374999999999999,
|
356 |
-
"loss": 2.
|
357 |
"step": 58
|
358 |
},
|
359 |
{
|
360 |
-
"epoch":
|
361 |
"learning_rate": 0.00063125,
|
362 |
-
"loss": 2.
|
363 |
"step": 59
|
364 |
},
|
365 |
{
|
366 |
-
"epoch":
|
367 |
"learning_rate": 0.000625,
|
368 |
-
"loss": 2.
|
369 |
"step": 60
|
370 |
},
|
371 |
{
|
372 |
-
"epoch":
|
373 |
"learning_rate": 0.00061875,
|
374 |
-
"loss": 2.
|
375 |
"step": 61
|
376 |
},
|
377 |
{
|
378 |
-
"epoch":
|
379 |
"learning_rate": 0.0006125000000000001,
|
380 |
-
"loss": 2.
|
381 |
"step": 62
|
382 |
},
|
383 |
{
|
384 |
-
"epoch":
|
385 |
"learning_rate": 0.00060625,
|
386 |
-
"loss": 2.
|
387 |
"step": 63
|
388 |
},
|
389 |
{
|
390 |
-
"epoch":
|
391 |
"learning_rate": 0.0006,
|
392 |
-
"loss": 2.
|
393 |
"step": 64
|
394 |
},
|
395 |
{
|
396 |
-
"epoch":
|
397 |
"learning_rate": 0.00059375,
|
398 |
-
"loss": 2.
|
399 |
"step": 65
|
400 |
},
|
401 |
{
|
402 |
-
"epoch":
|
403 |
"learning_rate": 0.0005875,
|
404 |
-
"loss": 2.
|
405 |
"step": 66
|
406 |
},
|
407 |
{
|
408 |
-
"epoch":
|
409 |
"learning_rate": 0.0005812500000000001,
|
410 |
-
"loss": 2.
|
411 |
"step": 67
|
412 |
},
|
413 |
{
|
414 |
-
"epoch":
|
415 |
"learning_rate": 0.000575,
|
416 |
-
"loss": 2.
|
417 |
"step": 68
|
418 |
},
|
419 |
{
|
420 |
-
"epoch":
|
421 |
"learning_rate": 0.00056875,
|
422 |
-
"loss": 2.
|
423 |
"step": 69
|
424 |
},
|
425 |
{
|
426 |
-
"epoch":
|
427 |
"learning_rate": 0.0005625000000000001,
|
428 |
-
"loss": 2.
|
429 |
"step": 70
|
430 |
},
|
431 |
{
|
432 |
-
"epoch":
|
433 |
"learning_rate": 0.00055625,
|
434 |
-
"loss": 2.
|
435 |
"step": 71
|
436 |
},
|
437 |
{
|
438 |
-
"epoch":
|
439 |
"learning_rate": 0.00055,
|
440 |
-
"loss": 2.
|
441 |
"step": 72
|
442 |
},
|
443 |
{
|
444 |
-
"epoch":
|
445 |
"learning_rate": 0.00054375,
|
446 |
-
"loss": 2.
|
447 |
"step": 73
|
448 |
},
|
449 |
{
|
450 |
-
"epoch":
|
451 |
"learning_rate": 0.0005375,
|
452 |
-
"loss": 2.
|
453 |
"step": 74
|
454 |
},
|
455 |
{
|
456 |
-
"epoch":
|
457 |
"learning_rate": 0.00053125,
|
458 |
-
"loss": 2.
|
459 |
"step": 75
|
460 |
},
|
461 |
{
|
462 |
-
"epoch":
|
463 |
"learning_rate": 0.0005250000000000001,
|
464 |
-
"loss": 2.
|
465 |
"step": 76
|
466 |
},
|
467 |
{
|
468 |
-
"epoch":
|
469 |
"learning_rate": 0.00051875,
|
470 |
-
"loss": 2.
|
471 |
"step": 77
|
472 |
},
|
473 |
{
|
474 |
-
"epoch":
|
475 |
"learning_rate": 0.0005124999999999999,
|
476 |
-
"loss": 2.
|
477 |
"step": 78
|
478 |
},
|
479 |
{
|
480 |
-
"epoch":
|
481 |
"learning_rate": 0.00050625,
|
482 |
-
"loss": 2.
|
483 |
"step": 79
|
484 |
},
|
485 |
{
|
486 |
-
"epoch": 1.
|
487 |
"learning_rate": 0.0005,
|
488 |
-
"loss": 2.
|
489 |
"step": 80
|
490 |
},
|
491 |
{
|
492 |
-
"epoch":
|
493 |
"learning_rate": 0.00049375,
|
494 |
-
"loss": 2.
|
495 |
"step": 81
|
496 |
},
|
497 |
{
|
498 |
-
"epoch":
|
499 |
"learning_rate": 0.0004875,
|
500 |
-
"loss": 2.
|
501 |
"step": 82
|
502 |
},
|
503 |
{
|
504 |
-
"epoch":
|
505 |
"learning_rate": 0.00048125,
|
506 |
-
"loss": 2.
|
507 |
"step": 83
|
508 |
},
|
509 |
{
|
510 |
-
"epoch":
|
511 |
"learning_rate": 0.000475,
|
512 |
-
"loss": 2.
|
513 |
"step": 84
|
514 |
},
|
515 |
{
|
516 |
-
"epoch":
|
517 |
"learning_rate": 0.00046875,
|
518 |
-
"loss": 2.
|
519 |
"step": 85
|
520 |
},
|
521 |
{
|
522 |
-
"epoch":
|
523 |
"learning_rate": 0.0004625,
|
524 |
-
"loss": 2.
|
525 |
"step": 86
|
526 |
},
|
527 |
{
|
528 |
-
"epoch":
|
529 |
"learning_rate": 0.00045625,
|
530 |
-
"loss": 2.
|
531 |
"step": 87
|
532 |
},
|
533 |
{
|
534 |
-
"epoch":
|
535 |
"learning_rate": 0.00045000000000000004,
|
536 |
-
"loss": 2.
|
537 |
"step": 88
|
538 |
},
|
539 |
{
|
540 |
-
"epoch":
|
541 |
"learning_rate": 0.00044374999999999997,
|
542 |
-
"loss": 2.
|
543 |
"step": 89
|
544 |
},
|
545 |
{
|
546 |
-
"epoch":
|
547 |
"learning_rate": 0.0004375,
|
548 |
-
"loss": 2.
|
549 |
"step": 90
|
550 |
},
|
551 |
{
|
552 |
-
"epoch":
|
553 |
"learning_rate": 0.00043125000000000005,
|
554 |
-
"loss": 2.
|
555 |
"step": 91
|
556 |
},
|
557 |
{
|
558 |
-
"epoch":
|
559 |
"learning_rate": 0.000425,
|
560 |
-
"loss": 2.
|
561 |
"step": 92
|
562 |
},
|
563 |
{
|
564 |
-
"epoch":
|
565 |
"learning_rate": 0.00041875,
|
566 |
-
"loss": 2.
|
567 |
"step": 93
|
568 |
},
|
569 |
{
|
570 |
-
"epoch":
|
571 |
"learning_rate": 0.0004125,
|
572 |
-
"loss": 2.
|
573 |
"step": 94
|
574 |
},
|
575 |
{
|
576 |
-
"epoch":
|
577 |
"learning_rate": 0.00040625000000000004,
|
578 |
-
"loss": 2.
|
579 |
"step": 95
|
580 |
},
|
581 |
{
|
582 |
-
"epoch":
|
583 |
"learning_rate": 0.0004,
|
584 |
-
"loss": 2.
|
585 |
"step": 96
|
586 |
},
|
587 |
{
|
588 |
-
"epoch":
|
589 |
"learning_rate": 0.00039375,
|
590 |
-
"loss": 2.
|
591 |
"step": 97
|
592 |
},
|
593 |
{
|
594 |
-
"epoch":
|
595 |
"learning_rate": 0.00038750000000000004,
|
596 |
-
"loss": 2.
|
597 |
"step": 98
|
598 |
},
|
599 |
{
|
600 |
-
"epoch":
|
601 |
"learning_rate": 0.00038124999999999997,
|
602 |
-
"loss": 2.
|
603 |
"step": 99
|
604 |
},
|
605 |
{
|
606 |
-
"epoch":
|
607 |
"learning_rate": 0.000375,
|
608 |
-
"loss": 2.
|
609 |
"step": 100
|
610 |
}
|
611 |
],
|
612 |
-
"logging_steps": 1,
|
613 |
"max_steps": 160,
|
614 |
-
"num_train_epochs":
|
615 |
-
"
|
616 |
-
"total_flos": 2.588289853513728e+16,
|
617 |
"trial_name": null,
|
618 |
"trial_params": null
|
619 |
}
|
|
|
1 |
{
|
2 |
"best_metric": null,
|
3 |
"best_model_checkpoint": null,
|
4 |
+
"epoch": 2.488335925349922,
|
|
|
5 |
"global_step": 100,
|
6 |
"is_hyper_param_search": false,
|
7 |
"is_local_process_zero": true,
|
8 |
"is_world_process_zero": true,
|
9 |
"log_history": [
|
10 |
{
|
11 |
+
"epoch": 0.02,
|
12 |
"learning_rate": 0.00099375,
|
13 |
+
"loss": 2.9857,
|
14 |
"step": 1
|
15 |
},
|
16 |
{
|
17 |
+
"epoch": 0.05,
|
18 |
"learning_rate": 0.0009875,
|
19 |
+
"loss": 2.8497,
|
20 |
"step": 2
|
21 |
},
|
22 |
{
|
23 |
+
"epoch": 0.07,
|
24 |
"learning_rate": 0.00098125,
|
25 |
+
"loss": 2.8853,
|
26 |
"step": 3
|
27 |
},
|
28 |
{
|
29 |
+
"epoch": 0.1,
|
30 |
"learning_rate": 0.000975,
|
31 |
+
"loss": 2.7689,
|
32 |
"step": 4
|
33 |
},
|
34 |
{
|
35 |
+
"epoch": 0.12,
|
36 |
"learning_rate": 0.00096875,
|
37 |
+
"loss": 2.7474,
|
38 |
"step": 5
|
39 |
},
|
40 |
{
|
41 |
+
"epoch": 0.15,
|
42 |
"learning_rate": 0.0009625,
|
43 |
+
"loss": 2.7695,
|
44 |
"step": 6
|
45 |
},
|
46 |
{
|
47 |
+
"epoch": 0.17,
|
48 |
"learning_rate": 0.0009562500000000001,
|
49 |
+
"loss": 2.6897,
|
50 |
"step": 7
|
51 |
},
|
52 |
{
|
53 |
+
"epoch": 0.2,
|
54 |
"learning_rate": 0.00095,
|
55 |
+
"loss": 2.6285,
|
56 |
"step": 8
|
57 |
},
|
58 |
{
|
59 |
+
"epoch": 0.22,
|
60 |
"learning_rate": 0.00094375,
|
61 |
+
"loss": 2.7107,
|
62 |
"step": 9
|
63 |
},
|
64 |
{
|
65 |
+
"epoch": 0.25,
|
66 |
"learning_rate": 0.0009375,
|
67 |
+
"loss": 2.6897,
|
68 |
"step": 10
|
69 |
},
|
70 |
{
|
71 |
+
"epoch": 0.27,
|
72 |
"learning_rate": 0.00093125,
|
73 |
+
"loss": 2.6634,
|
74 |
"step": 11
|
75 |
},
|
76 |
{
|
77 |
+
"epoch": 0.3,
|
78 |
"learning_rate": 0.000925,
|
79 |
+
"loss": 2.635,
|
80 |
"step": 12
|
81 |
},
|
82 |
{
|
83 |
+
"epoch": 0.32,
|
84 |
"learning_rate": 0.00091875,
|
85 |
+
"loss": 2.643,
|
86 |
"step": 13
|
87 |
},
|
88 |
{
|
89 |
+
"epoch": 0.35,
|
90 |
"learning_rate": 0.0009125,
|
91 |
+
"loss": 2.7166,
|
92 |
"step": 14
|
93 |
},
|
94 |
{
|
95 |
+
"epoch": 0.37,
|
96 |
"learning_rate": 0.00090625,
|
97 |
+
"loss": 2.7354,
|
98 |
"step": 15
|
99 |
},
|
100 |
{
|
101 |
+
"epoch": 0.4,
|
102 |
"learning_rate": 0.0009000000000000001,
|
103 |
+
"loss": 2.615,
|
104 |
"step": 16
|
105 |
},
|
106 |
{
|
107 |
+
"epoch": 0.42,
|
108 |
"learning_rate": 0.00089375,
|
109 |
+
"loss": 2.7225,
|
110 |
"step": 17
|
111 |
},
|
112 |
{
|
113 |
+
"epoch": 0.45,
|
114 |
"learning_rate": 0.0008874999999999999,
|
115 |
+
"loss": 2.6189,
|
116 |
"step": 18
|
117 |
},
|
118 |
{
|
119 |
+
"epoch": 0.47,
|
120 |
"learning_rate": 0.00088125,
|
121 |
+
"loss": 2.7269,
|
122 |
"step": 19
|
123 |
},
|
124 |
{
|
125 |
+
"epoch": 0.5,
|
126 |
"learning_rate": 0.000875,
|
127 |
+
"loss": 2.6312,
|
128 |
"step": 20
|
129 |
},
|
130 |
{
|
131 |
+
"epoch": 0.52,
|
132 |
"learning_rate": 0.0008687500000000001,
|
133 |
+
"loss": 2.6758,
|
134 |
"step": 21
|
135 |
},
|
136 |
{
|
137 |
+
"epoch": 0.55,
|
138 |
"learning_rate": 0.0008625000000000001,
|
139 |
+
"loss": 2.6997,
|
140 |
"step": 22
|
141 |
},
|
142 |
{
|
143 |
+
"epoch": 0.57,
|
144 |
"learning_rate": 0.00085625,
|
145 |
+
"loss": 2.6878,
|
146 |
"step": 23
|
147 |
},
|
148 |
{
|
149 |
+
"epoch": 0.6,
|
150 |
"learning_rate": 0.00085,
|
151 |
+
"loss": 2.6433,
|
152 |
"step": 24
|
153 |
},
|
154 |
{
|
155 |
+
"epoch": 0.62,
|
156 |
"learning_rate": 0.00084375,
|
157 |
+
"loss": 2.7053,
|
158 |
"step": 25
|
159 |
},
|
160 |
{
|
161 |
+
"epoch": 0.65,
|
162 |
"learning_rate": 0.0008375,
|
163 |
+
"loss": 2.6745,
|
164 |
"step": 26
|
165 |
},
|
166 |
{
|
167 |
+
"epoch": 0.67,
|
168 |
"learning_rate": 0.0008312500000000001,
|
169 |
+
"loss": 2.7376,
|
170 |
"step": 27
|
171 |
},
|
172 |
{
|
173 |
+
"epoch": 0.7,
|
174 |
"learning_rate": 0.000825,
|
175 |
+
"loss": 2.6577,
|
176 |
"step": 28
|
177 |
},
|
178 |
{
|
179 |
+
"epoch": 0.72,
|
180 |
"learning_rate": 0.00081875,
|
181 |
+
"loss": 2.7428,
|
182 |
"step": 29
|
183 |
},
|
184 |
{
|
185 |
+
"epoch": 0.75,
|
186 |
"learning_rate": 0.0008125000000000001,
|
187 |
+
"loss": 2.6231,
|
188 |
"step": 30
|
189 |
},
|
190 |
{
|
191 |
+
"epoch": 0.77,
|
192 |
"learning_rate": 0.00080625,
|
193 |
+
"loss": 2.7078,
|
194 |
"step": 31
|
195 |
},
|
196 |
{
|
197 |
+
"epoch": 0.8,
|
198 |
"learning_rate": 0.0008,
|
199 |
+
"loss": 2.7057,
|
200 |
"step": 32
|
201 |
},
|
202 |
{
|
203 |
+
"epoch": 0.82,
|
204 |
"learning_rate": 0.00079375,
|
205 |
+
"loss": 2.6594,
|
206 |
"step": 33
|
207 |
},
|
208 |
{
|
209 |
+
"epoch": 0.85,
|
210 |
"learning_rate": 0.0007875,
|
211 |
+
"loss": 2.6718,
|
212 |
"step": 34
|
213 |
},
|
214 |
{
|
215 |
+
"epoch": 0.87,
|
216 |
"learning_rate": 0.00078125,
|
217 |
+
"loss": 2.6459,
|
218 |
"step": 35
|
219 |
},
|
220 |
{
|
221 |
+
"epoch": 0.9,
|
222 |
"learning_rate": 0.0007750000000000001,
|
223 |
+
"loss": 2.6558,
|
224 |
"step": 36
|
225 |
},
|
226 |
{
|
227 |
+
"epoch": 0.92,
|
228 |
"learning_rate": 0.00076875,
|
229 |
+
"loss": 2.6559,
|
230 |
"step": 37
|
231 |
},
|
232 |
{
|
233 |
+
"epoch": 0.95,
|
234 |
"learning_rate": 0.0007624999999999999,
|
235 |
+
"loss": 2.6488,
|
236 |
"step": 38
|
237 |
},
|
238 |
{
|
239 |
+
"epoch": 0.97,
|
240 |
"learning_rate": 0.00075625,
|
241 |
+
"loss": 2.5902,
|
242 |
"step": 39
|
243 |
},
|
244 |
{
|
245 |
+
"epoch": 1.0,
|
246 |
"learning_rate": 0.00075,
|
247 |
+
"loss": 2.6244,
|
248 |
"step": 40
|
249 |
},
|
250 |
{
|
251 |
+
"epoch": 1.02,
|
252 |
"learning_rate": 0.00074375,
|
253 |
+
"loss": 2.5278,
|
254 |
"step": 41
|
255 |
},
|
256 |
{
|
257 |
+
"epoch": 1.05,
|
258 |
"learning_rate": 0.0007375000000000001,
|
259 |
+
"loss": 2.5213,
|
260 |
"step": 42
|
261 |
},
|
262 |
{
|
263 |
+
"epoch": 1.07,
|
264 |
"learning_rate": 0.00073125,
|
265 |
+
"loss": 2.5515,
|
266 |
"step": 43
|
267 |
},
|
268 |
{
|
269 |
+
"epoch": 1.09,
|
270 |
"learning_rate": 0.000725,
|
271 |
+
"loss": 2.5196,
|
272 |
"step": 44
|
273 |
},
|
274 |
{
|
275 |
+
"epoch": 1.12,
|
276 |
"learning_rate": 0.00071875,
|
277 |
+
"loss": 2.5725,
|
278 |
"step": 45
|
279 |
},
|
280 |
{
|
281 |
+
"epoch": 1.14,
|
282 |
"learning_rate": 0.0007125,
|
283 |
+
"loss": 2.4971,
|
284 |
"step": 46
|
285 |
},
|
286 |
{
|
287 |
+
"epoch": 1.17,
|
288 |
"learning_rate": 0.0007062500000000001,
|
289 |
+
"loss": 2.4976,
|
290 |
"step": 47
|
291 |
},
|
292 |
{
|
293 |
+
"epoch": 1.19,
|
294 |
"learning_rate": 0.0007,
|
295 |
+
"loss": 2.5467,
|
296 |
"step": 48
|
297 |
},
|
298 |
{
|
299 |
+
"epoch": 1.22,
|
300 |
"learning_rate": 0.00069375,
|
301 |
+
"loss": 2.5302,
|
302 |
"step": 49
|
303 |
},
|
304 |
{
|
305 |
+
"epoch": 1.24,
|
306 |
"learning_rate": 0.0006875,
|
307 |
+
"loss": 2.5224,
|
308 |
"step": 50
|
309 |
},
|
310 |
{
|
311 |
+
"epoch": 1.27,
|
312 |
"learning_rate": 0.00068125,
|
313 |
+
"loss": 2.5451,
|
314 |
"step": 51
|
315 |
},
|
316 |
{
|
317 |
+
"epoch": 1.29,
|
318 |
"learning_rate": 0.000675,
|
319 |
+
"loss": 2.4609,
|
320 |
"step": 52
|
321 |
},
|
322 |
{
|
323 |
+
"epoch": 1.32,
|
324 |
"learning_rate": 0.00066875,
|
325 |
+
"loss": 2.4897,
|
326 |
"step": 53
|
327 |
},
|
328 |
{
|
329 |
+
"epoch": 1.34,
|
330 |
"learning_rate": 0.0006625,
|
331 |
+
"loss": 2.5583,
|
332 |
"step": 54
|
333 |
},
|
334 |
{
|
335 |
+
"epoch": 1.37,
|
336 |
"learning_rate": 0.00065625,
|
337 |
+
"loss": 2.5675,
|
338 |
"step": 55
|
339 |
},
|
340 |
{
|
341 |
+
"epoch": 1.39,
|
342 |
"learning_rate": 0.0006500000000000001,
|
343 |
+
"loss": 2.5598,
|
344 |
"step": 56
|
345 |
},
|
346 |
{
|
347 |
+
"epoch": 1.42,
|
348 |
"learning_rate": 0.00064375,
|
349 |
+
"loss": 2.48,
|
350 |
"step": 57
|
351 |
},
|
352 |
{
|
353 |
+
"epoch": 1.44,
|
354 |
"learning_rate": 0.0006374999999999999,
|
355 |
+
"loss": 2.4761,
|
356 |
"step": 58
|
357 |
},
|
358 |
{
|
359 |
+
"epoch": 1.47,
|
360 |
"learning_rate": 0.00063125,
|
361 |
+
"loss": 2.5599,
|
362 |
"step": 59
|
363 |
},
|
364 |
{
|
365 |
+
"epoch": 1.49,
|
366 |
"learning_rate": 0.000625,
|
367 |
+
"loss": 2.5199,
|
368 |
"step": 60
|
369 |
},
|
370 |
{
|
371 |
+
"epoch": 1.52,
|
372 |
"learning_rate": 0.00061875,
|
373 |
+
"loss": 2.5161,
|
374 |
"step": 61
|
375 |
},
|
376 |
{
|
377 |
+
"epoch": 1.54,
|
378 |
"learning_rate": 0.0006125000000000001,
|
379 |
+
"loss": 2.5797,
|
380 |
"step": 62
|
381 |
},
|
382 |
{
|
383 |
+
"epoch": 1.57,
|
384 |
"learning_rate": 0.00060625,
|
385 |
+
"loss": 2.5345,
|
386 |
"step": 63
|
387 |
},
|
388 |
{
|
389 |
+
"epoch": 1.59,
|
390 |
"learning_rate": 0.0006,
|
391 |
+
"loss": 2.4726,
|
392 |
"step": 64
|
393 |
},
|
394 |
{
|
395 |
+
"epoch": 1.62,
|
396 |
"learning_rate": 0.00059375,
|
397 |
+
"loss": 2.448,
|
398 |
"step": 65
|
399 |
},
|
400 |
{
|
401 |
+
"epoch": 1.64,
|
402 |
"learning_rate": 0.0005875,
|
403 |
+
"loss": 2.4939,
|
404 |
"step": 66
|
405 |
},
|
406 |
{
|
407 |
+
"epoch": 1.67,
|
408 |
"learning_rate": 0.0005812500000000001,
|
409 |
+
"loss": 2.4881,
|
410 |
"step": 67
|
411 |
},
|
412 |
{
|
413 |
+
"epoch": 1.69,
|
414 |
"learning_rate": 0.000575,
|
415 |
+
"loss": 2.5731,
|
416 |
"step": 68
|
417 |
},
|
418 |
{
|
419 |
+
"epoch": 1.72,
|
420 |
"learning_rate": 0.00056875,
|
421 |
+
"loss": 2.5114,
|
422 |
"step": 69
|
423 |
},
|
424 |
{
|
425 |
+
"epoch": 1.74,
|
426 |
"learning_rate": 0.0005625000000000001,
|
427 |
+
"loss": 2.5049,
|
428 |
"step": 70
|
429 |
},
|
430 |
{
|
431 |
+
"epoch": 1.77,
|
432 |
"learning_rate": 0.00055625,
|
433 |
+
"loss": 2.4856,
|
434 |
"step": 71
|
435 |
},
|
436 |
{
|
437 |
+
"epoch": 1.79,
|
438 |
"learning_rate": 0.00055,
|
439 |
+
"loss": 2.5077,
|
440 |
"step": 72
|
441 |
},
|
442 |
{
|
443 |
+
"epoch": 1.82,
|
444 |
"learning_rate": 0.00054375,
|
445 |
+
"loss": 2.4801,
|
446 |
"step": 73
|
447 |
},
|
448 |
{
|
449 |
+
"epoch": 1.84,
|
450 |
"learning_rate": 0.0005375,
|
451 |
+
"loss": 2.5599,
|
452 |
"step": 74
|
453 |
},
|
454 |
{
|
455 |
+
"epoch": 1.87,
|
456 |
"learning_rate": 0.00053125,
|
457 |
+
"loss": 2.5269,
|
458 |
"step": 75
|
459 |
},
|
460 |
{
|
461 |
+
"epoch": 1.89,
|
462 |
"learning_rate": 0.0005250000000000001,
|
463 |
+
"loss": 2.4963,
|
464 |
"step": 76
|
465 |
},
|
466 |
{
|
467 |
+
"epoch": 1.92,
|
468 |
"learning_rate": 0.00051875,
|
469 |
+
"loss": 2.4595,
|
470 |
"step": 77
|
471 |
},
|
472 |
{
|
473 |
+
"epoch": 1.94,
|
474 |
"learning_rate": 0.0005124999999999999,
|
475 |
+
"loss": 2.4801,
|
476 |
"step": 78
|
477 |
},
|
478 |
{
|
479 |
+
"epoch": 1.97,
|
480 |
"learning_rate": 0.00050625,
|
481 |
+
"loss": 2.5154,
|
482 |
"step": 79
|
483 |
},
|
484 |
{
|
485 |
+
"epoch": 1.99,
|
486 |
"learning_rate": 0.0005,
|
487 |
+
"loss": 2.5179,
|
488 |
"step": 80
|
489 |
},
|
490 |
{
|
491 |
+
"epoch": 2.02,
|
492 |
"learning_rate": 0.00049375,
|
493 |
+
"loss": 2.4121,
|
494 |
"step": 81
|
495 |
},
|
496 |
{
|
497 |
+
"epoch": 2.04,
|
498 |
"learning_rate": 0.0004875,
|
499 |
+
"loss": 2.354,
|
500 |
"step": 82
|
501 |
},
|
502 |
{
|
503 |
+
"epoch": 2.07,
|
504 |
"learning_rate": 0.00048125,
|
505 |
+
"loss": 2.3033,
|
506 |
"step": 83
|
507 |
},
|
508 |
{
|
509 |
+
"epoch": 2.09,
|
510 |
"learning_rate": 0.000475,
|
511 |
+
"loss": 2.4023,
|
512 |
"step": 84
|
513 |
},
|
514 |
{
|
515 |
+
"epoch": 2.12,
|
516 |
"learning_rate": 0.00046875,
|
517 |
+
"loss": 2.3755,
|
518 |
"step": 85
|
519 |
},
|
520 |
{
|
521 |
+
"epoch": 2.14,
|
522 |
"learning_rate": 0.0004625,
|
523 |
+
"loss": 2.3892,
|
524 |
"step": 86
|
525 |
},
|
526 |
{
|
527 |
+
"epoch": 2.16,
|
528 |
"learning_rate": 0.00045625,
|
529 |
+
"loss": 2.3534,
|
530 |
"step": 87
|
531 |
},
|
532 |
{
|
533 |
+
"epoch": 2.19,
|
534 |
"learning_rate": 0.00045000000000000004,
|
535 |
+
"loss": 2.3634,
|
536 |
"step": 88
|
537 |
},
|
538 |
{
|
539 |
+
"epoch": 2.21,
|
540 |
"learning_rate": 0.00044374999999999997,
|
541 |
+
"loss": 2.3336,
|
542 |
"step": 89
|
543 |
},
|
544 |
{
|
545 |
+
"epoch": 2.24,
|
546 |
"learning_rate": 0.0004375,
|
547 |
+
"loss": 2.3646,
|
548 |
"step": 90
|
549 |
},
|
550 |
{
|
551 |
+
"epoch": 2.26,
|
552 |
"learning_rate": 0.00043125000000000005,
|
553 |
+
"loss": 2.3333,
|
554 |
"step": 91
|
555 |
},
|
556 |
{
|
557 |
+
"epoch": 2.29,
|
558 |
"learning_rate": 0.000425,
|
559 |
+
"loss": 2.3344,
|
560 |
"step": 92
|
561 |
},
|
562 |
{
|
563 |
+
"epoch": 2.31,
|
564 |
"learning_rate": 0.00041875,
|
565 |
+
"loss": 2.3308,
|
566 |
"step": 93
|
567 |
},
|
568 |
{
|
569 |
+
"epoch": 2.34,
|
570 |
"learning_rate": 0.0004125,
|
571 |
+
"loss": 2.3677,
|
572 |
"step": 94
|
573 |
},
|
574 |
{
|
575 |
+
"epoch": 2.36,
|
576 |
"learning_rate": 0.00040625000000000004,
|
577 |
+
"loss": 2.3755,
|
578 |
"step": 95
|
579 |
},
|
580 |
{
|
581 |
+
"epoch": 2.39,
|
582 |
"learning_rate": 0.0004,
|
583 |
+
"loss": 2.3721,
|
584 |
"step": 96
|
585 |
},
|
586 |
{
|
587 |
+
"epoch": 2.41,
|
588 |
"learning_rate": 0.00039375,
|
589 |
+
"loss": 2.3463,
|
590 |
"step": 97
|
591 |
},
|
592 |
{
|
593 |
+
"epoch": 2.44,
|
594 |
"learning_rate": 0.00038750000000000004,
|
595 |
+
"loss": 2.3536,
|
596 |
"step": 98
|
597 |
},
|
598 |
{
|
599 |
+
"epoch": 2.46,
|
600 |
"learning_rate": 0.00038124999999999997,
|
601 |
+
"loss": 2.3895,
|
602 |
"step": 99
|
603 |
},
|
604 |
{
|
605 |
+
"epoch": 2.49,
|
606 |
"learning_rate": 0.000375,
|
607 |
+
"loss": 2.3767,
|
608 |
"step": 100
|
609 |
}
|
610 |
],
|
|
|
611 |
"max_steps": 160,
|
612 |
+
"num_train_epochs": 4,
|
613 |
+
"total_flos": 5.95613039443968e+16,
|
|
|
614 |
"trial_name": null,
|
615 |
"trial_params": null
|
616 |
}
|
checkpoint-100/training_args.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
-
size
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:29aa9882c4c56a1507dbc7c22ccd2d199e9b5b94a8c3844ada75fa3f9e9d5e41
|
3 |
+
size 3963
|
training_args.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
-
size
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:29aa9882c4c56a1507dbc7c22ccd2d199e9b5b94a8c3844ada75fa3f9e9d5e41
|
3 |
+
size 3963
|