lei-HuggingFace
commited on
Commit
•
8a349c6
1
Parent(s):
9938292
Upload folder using huggingface_hub
Browse files- adapter_config.json +1 -1
- adapter_model.safetensors +1 -1
- events.out.tfevents.1723771512.0d2118c49111.2491.0 +3 -0
- trainer_state.json +135 -135
- training_args.bin +2 -2
adapter_config.json
CHANGED
@@ -2,7 +2,7 @@
|
|
2 |
"alpha_pattern": {},
|
3 |
"auto_mapping": {
|
4 |
"base_model_class": "MiniCPMV",
|
5 |
-
"parent_library": "transformers_modules.openbmb.MiniCPM-V-2_6.
|
6 |
},
|
7 |
"base_model_name_or_path": "openbmb/MiniCPM-V-2_6",
|
8 |
"bias": "none",
|
|
|
2 |
"alpha_pattern": {},
|
3 |
"auto_mapping": {
|
4 |
"base_model_class": "MiniCPMV",
|
5 |
+
"parent_library": "transformers_modules.openbmb.MiniCPM-V-2_6.5448dad47b6ca8429fabc851f76f1be4328f2de2.modeling_minicpmv"
|
6 |
},
|
7 |
"base_model_name_or_path": "openbmb/MiniCPM-V-2_6",
|
8 |
"bias": "none",
|
adapter_model.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 1305154312
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:0232076a00835592bf8e468f63815229a7dd5730149481c7750933c759b2742b
|
3 |
size 1305154312
|
events.out.tfevents.1723771512.0d2118c49111.2491.0
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:ea2d72114399b965955d8a4bc27de0cf6c56cf19c8930ac18f73bdabfaeedbc0
|
3 |
+
size 20099
|
trainer_state.json
CHANGED
@@ -11,478 +11,478 @@
|
|
11 |
{
|
12 |
"epoch": 1.0,
|
13 |
"learning_rate": 0,
|
14 |
-
"loss": 1.
|
15 |
"step": 1
|
16 |
},
|
17 |
{
|
18 |
"epoch": 1.1428571428571428,
|
19 |
-
"grad_norm": 2.
|
20 |
"learning_rate": 0.0,
|
21 |
-
"loss": 0.
|
22 |
"step": 2
|
23 |
},
|
24 |
{
|
25 |
"epoch": 2.0,
|
26 |
-
"grad_norm": 2.
|
27 |
"learning_rate": 0.0,
|
28 |
-
"loss": 0.
|
29 |
"step": 3
|
30 |
},
|
31 |
{
|
32 |
"epoch": 2.2857142857142856,
|
33 |
-
"grad_norm": 0.
|
34 |
"learning_rate": 0.0002,
|
35 |
-
"loss": 0.
|
36 |
"step": 4
|
37 |
},
|
38 |
{
|
39 |
"epoch": 3.0,
|
40 |
-
"grad_norm": 0.
|
41 |
"learning_rate": 0.0002,
|
42 |
-
"loss": 0.
|
43 |
"step": 5
|
44 |
},
|
45 |
{
|
46 |
"epoch": 3.4285714285714284,
|
47 |
-
"grad_norm": 0.
|
48 |
"learning_rate": 0.0002,
|
49 |
-
"loss": 0.
|
50 |
"step": 6
|
51 |
},
|
52 |
{
|
53 |
"epoch": 4.0,
|
54 |
-
"grad_norm": 0.
|
55 |
"learning_rate": 0.0002,
|
56 |
-
"loss": 0.
|
57 |
"step": 7
|
58 |
},
|
59 |
{
|
60 |
"epoch": 4.571428571428571,
|
61 |
-
"grad_norm": 0.
|
62 |
"learning_rate": 0.0002,
|
63 |
-
"loss": 0.
|
64 |
"step": 8
|
65 |
},
|
66 |
{
|
67 |
"epoch": 5.0,
|
68 |
-
"grad_norm": 0.
|
69 |
"learning_rate": 0.0002,
|
70 |
-
"loss": 0.
|
71 |
"step": 9
|
72 |
},
|
73 |
{
|
74 |
"epoch": 5.714285714285714,
|
75 |
-
"grad_norm": 0.
|
76 |
"learning_rate": 0.0002,
|
77 |
-
"loss": 0.
|
78 |
"step": 10
|
79 |
},
|
80 |
{
|
81 |
"epoch": 5.714285714285714,
|
82 |
-
"eval_loss": 0.
|
83 |
-
"eval_runtime": 1.
|
84 |
-
"eval_samples_per_second": 6.
|
85 |
-
"eval_steps_per_second": 6.
|
86 |
"step": 10
|
87 |
},
|
88 |
{
|
89 |
"epoch": 6.0,
|
90 |
-
"grad_norm": 0.
|
91 |
"learning_rate": 0.0002,
|
92 |
-
"loss": 0.
|
93 |
"step": 11
|
94 |
},
|
95 |
{
|
96 |
"epoch": 6.857142857142857,
|
97 |
-
"grad_norm": 0.
|
98 |
"learning_rate": 0.0002,
|
99 |
-
"loss": 0.
|
100 |
"step": 12
|
101 |
},
|
102 |
{
|
103 |
"epoch": 7.0,
|
104 |
-
"grad_norm": 0.
|
105 |
"learning_rate": 0.0002,
|
106 |
-
"loss": 0.
|
107 |
"step": 13
|
108 |
},
|
109 |
{
|
110 |
"epoch": 8.0,
|
111 |
-
"grad_norm": 0.
|
112 |
"learning_rate": 0.0002,
|
113 |
-
"loss": 0.
|
114 |
"step": 14
|
115 |
},
|
116 |
{
|
117 |
"epoch": 9.0,
|
118 |
-
"grad_norm": 0.
|
119 |
"learning_rate": 0.0002,
|
120 |
-
"loss": 0.
|
121 |
"step": 15
|
122 |
},
|
123 |
{
|
124 |
"epoch": 9.142857142857142,
|
125 |
-
"grad_norm": 0.
|
126 |
"learning_rate": 0.0002,
|
127 |
-
"loss": 0.
|
128 |
"step": 16
|
129 |
},
|
130 |
{
|
131 |
"epoch": 10.0,
|
132 |
-
"grad_norm": 0.
|
133 |
"learning_rate": 0.0002,
|
134 |
-
"loss": 0.
|
135 |
"step": 17
|
136 |
},
|
137 |
{
|
138 |
"epoch": 10.285714285714286,
|
139 |
-
"grad_norm": 0.
|
140 |
"learning_rate": 0.0002,
|
141 |
-
"loss": 0.
|
142 |
"step": 18
|
143 |
},
|
144 |
{
|
145 |
"epoch": 11.0,
|
146 |
-
"grad_norm": 0.
|
147 |
"learning_rate": 0.0002,
|
148 |
-
"loss": 0.
|
149 |
"step": 19
|
150 |
},
|
151 |
{
|
152 |
"epoch": 11.428571428571429,
|
153 |
-
"grad_norm": 0.
|
154 |
"learning_rate": 0.0002,
|
155 |
"loss": 0.1008,
|
156 |
"step": 20
|
157 |
},
|
158 |
{
|
159 |
"epoch": 11.428571428571429,
|
160 |
-
"eval_loss": 0.
|
161 |
-
"eval_runtime": 1.
|
162 |
-
"eval_samples_per_second": 6.
|
163 |
-
"eval_steps_per_second": 6.
|
164 |
"step": 20
|
165 |
},
|
166 |
{
|
167 |
"epoch": 12.0,
|
168 |
-
"grad_norm": 0.
|
169 |
"learning_rate": 0.0002,
|
170 |
-
"loss": 0.
|
171 |
"step": 21
|
172 |
},
|
173 |
{
|
174 |
"epoch": 12.571428571428571,
|
175 |
-
"grad_norm": 0.
|
176 |
"learning_rate": 0.0002,
|
177 |
-
"loss": 0.
|
178 |
"step": 22
|
179 |
},
|
180 |
{
|
181 |
"epoch": 13.0,
|
182 |
-
"grad_norm": 0.
|
183 |
"learning_rate": 0.0002,
|
184 |
-
"loss": 0.
|
185 |
"step": 23
|
186 |
},
|
187 |
{
|
188 |
"epoch": 13.714285714285714,
|
189 |
-
"grad_norm": 0.
|
190 |
"learning_rate": 0.0002,
|
191 |
-
"loss": 0.
|
192 |
"step": 24
|
193 |
},
|
194 |
{
|
195 |
"epoch": 14.0,
|
196 |
-
"grad_norm": 0.
|
197 |
"learning_rate": 0.0002,
|
198 |
-
"loss": 0.
|
199 |
"step": 25
|
200 |
},
|
201 |
{
|
202 |
"epoch": 14.857142857142858,
|
203 |
-
"grad_norm": 0.
|
204 |
"learning_rate": 0.0002,
|
205 |
-
"loss": 0.
|
206 |
"step": 26
|
207 |
},
|
208 |
{
|
209 |
"epoch": 15.0,
|
210 |
-
"grad_norm": 0.
|
211 |
"learning_rate": 0.0002,
|
212 |
-
"loss": 0.
|
213 |
"step": 27
|
214 |
},
|
215 |
{
|
216 |
"epoch": 16.0,
|
217 |
-
"grad_norm": 0.
|
218 |
"learning_rate": 0.0002,
|
219 |
-
"loss": 0.
|
220 |
"step": 28
|
221 |
},
|
222 |
{
|
223 |
"epoch": 17.0,
|
224 |
-
"grad_norm": 0.
|
225 |
"learning_rate": 0.0002,
|
226 |
-
"loss": 0.
|
227 |
"step": 29
|
228 |
},
|
229 |
{
|
230 |
"epoch": 17.142857142857142,
|
231 |
-
"grad_norm": 0.
|
232 |
"learning_rate": 0.0002,
|
233 |
"loss": 0.0003,
|
234 |
"step": 30
|
235 |
},
|
236 |
{
|
237 |
"epoch": 17.142857142857142,
|
238 |
-
"eval_loss": 0.
|
239 |
-
"eval_runtime": 1.
|
240 |
-
"eval_samples_per_second": 6.
|
241 |
-
"eval_steps_per_second": 6.
|
242 |
"step": 30
|
243 |
},
|
244 |
{
|
245 |
"epoch": 18.0,
|
246 |
-
"grad_norm": 0.
|
247 |
"learning_rate": 0.0002,
|
248 |
-
"loss": 0.
|
249 |
"step": 31
|
250 |
},
|
251 |
{
|
252 |
"epoch": 18.285714285714285,
|
253 |
-
"grad_norm": 0.
|
254 |
"learning_rate": 0.0002,
|
255 |
-
"loss": 0.
|
256 |
"step": 32
|
257 |
},
|
258 |
{
|
259 |
"epoch": 19.0,
|
260 |
-
"grad_norm": 0.
|
261 |
"learning_rate": 0.0002,
|
262 |
-
"loss": 0.
|
263 |
"step": 33
|
264 |
},
|
265 |
{
|
266 |
"epoch": 19.428571428571427,
|
267 |
-
"grad_norm": 0.
|
268 |
"learning_rate": 0.0002,
|
269 |
-
"loss": 0.
|
270 |
"step": 34
|
271 |
},
|
272 |
{
|
273 |
"epoch": 20.0,
|
274 |
-
"grad_norm": 0.
|
275 |
"learning_rate": 0.0002,
|
276 |
-
"loss": 0.
|
277 |
"step": 35
|
278 |
},
|
279 |
{
|
280 |
"epoch": 20.571428571428573,
|
281 |
-
"grad_norm": 0.
|
282 |
"learning_rate": 0.0002,
|
283 |
"loss": 0.0004,
|
284 |
"step": 36
|
285 |
},
|
286 |
{
|
287 |
"epoch": 21.0,
|
288 |
-
"grad_norm": 0.
|
289 |
"learning_rate": 0.0002,
|
290 |
-
"loss": 0.
|
291 |
"step": 37
|
292 |
},
|
293 |
{
|
294 |
"epoch": 21.714285714285715,
|
295 |
-
"grad_norm": 0.
|
296 |
"learning_rate": 0.0002,
|
297 |
-
"loss": 0.
|
298 |
"step": 38
|
299 |
},
|
300 |
{
|
301 |
"epoch": 22.0,
|
302 |
-
"grad_norm": 0.
|
303 |
"learning_rate": 0.0002,
|
304 |
-
"loss": 0.
|
305 |
"step": 39
|
306 |
},
|
307 |
{
|
308 |
"epoch": 22.857142857142858,
|
309 |
-
"grad_norm": 0.
|
310 |
"learning_rate": 0.0002,
|
311 |
-
"loss": 0.
|
312 |
"step": 40
|
313 |
},
|
314 |
{
|
315 |
"epoch": 22.857142857142858,
|
316 |
-
"eval_loss": 0.
|
317 |
-
"eval_runtime": 1.
|
318 |
-
"eval_samples_per_second": 6.
|
319 |
-
"eval_steps_per_second": 6.
|
320 |
"step": 40
|
321 |
},
|
322 |
{
|
323 |
"epoch": 23.0,
|
324 |
-
"grad_norm": 0.
|
325 |
"learning_rate": 0.0002,
|
326 |
-
"loss": 0.
|
327 |
"step": 41
|
328 |
},
|
329 |
{
|
330 |
"epoch": 24.0,
|
331 |
-
"grad_norm": 0.
|
332 |
"learning_rate": 0.0002,
|
333 |
-
"loss": 0.
|
334 |
"step": 42
|
335 |
},
|
336 |
{
|
337 |
"epoch": 25.0,
|
338 |
-
"grad_norm": 0.
|
339 |
"learning_rate": 0.0002,
|
340 |
-
"loss": 0.
|
341 |
"step": 43
|
342 |
},
|
343 |
{
|
344 |
"epoch": 25.142857142857142,
|
345 |
-
"grad_norm": 0.
|
346 |
"learning_rate": 0.0002,
|
347 |
-
"loss": 0.
|
348 |
"step": 44
|
349 |
},
|
350 |
{
|
351 |
"epoch": 26.0,
|
352 |
-
"grad_norm": 0.
|
353 |
"learning_rate": 0.0002,
|
354 |
-
"loss": 0.
|
355 |
"step": 45
|
356 |
},
|
357 |
{
|
358 |
"epoch": 26.285714285714285,
|
359 |
-
"grad_norm": 0.
|
360 |
"learning_rate": 0.0002,
|
361 |
-
"loss": 0.
|
362 |
"step": 46
|
363 |
},
|
364 |
{
|
365 |
"epoch": 27.0,
|
366 |
-
"grad_norm": 0.
|
367 |
"learning_rate": 0.0002,
|
368 |
"loss": 0.0003,
|
369 |
"step": 47
|
370 |
},
|
371 |
{
|
372 |
"epoch": 27.428571428571427,
|
373 |
-
"grad_norm": 0.
|
374 |
"learning_rate": 0.0002,
|
375 |
"loss": 0.0001,
|
376 |
"step": 48
|
377 |
},
|
378 |
{
|
379 |
"epoch": 28.0,
|
380 |
-
"grad_norm": 0.
|
381 |
"learning_rate": 0.0002,
|
382 |
-
"loss": 0.
|
383 |
"step": 49
|
384 |
},
|
385 |
{
|
386 |
"epoch": 28.571428571428573,
|
387 |
-
"grad_norm": 0.
|
388 |
"learning_rate": 0.0002,
|
389 |
-
"loss": 0.
|
390 |
"step": 50
|
391 |
},
|
392 |
{
|
393 |
"epoch": 28.571428571428573,
|
394 |
-
"eval_loss": 0.
|
395 |
-
"eval_runtime": 1.
|
396 |
-
"eval_samples_per_second": 6.
|
397 |
-
"eval_steps_per_second": 6.
|
398 |
"step": 50
|
399 |
},
|
400 |
{
|
401 |
"epoch": 29.0,
|
402 |
-
"grad_norm": 0.
|
403 |
"learning_rate": 0.0002,
|
404 |
"loss": 0.0001,
|
405 |
"step": 51
|
406 |
},
|
407 |
{
|
408 |
"epoch": 29.714285714285715,
|
409 |
-
"grad_norm": 0.
|
410 |
"learning_rate": 0.0002,
|
411 |
-
"loss": 0.
|
412 |
"step": 52
|
413 |
},
|
414 |
{
|
415 |
"epoch": 30.0,
|
416 |
-
"grad_norm": 0.
|
417 |
"learning_rate": 0.0002,
|
418 |
"loss": 0.0001,
|
419 |
"step": 53
|
420 |
},
|
421 |
{
|
422 |
"epoch": 30.857142857142858,
|
423 |
-
"grad_norm": 0.
|
424 |
"learning_rate": 0.0002,
|
425 |
-
"loss": 0.
|
426 |
"step": 54
|
427 |
},
|
428 |
{
|
429 |
"epoch": 31.0,
|
430 |
-
"grad_norm": 0.
|
431 |
"learning_rate": 0.0002,
|
432 |
"loss": 0.0,
|
433 |
"step": 55
|
434 |
},
|
435 |
{
|
436 |
"epoch": 32.0,
|
437 |
-
"grad_norm": 0.
|
438 |
"learning_rate": 0.0002,
|
439 |
"loss": 0.0003,
|
440 |
"step": 56
|
441 |
},
|
442 |
{
|
443 |
"epoch": 33.0,
|
444 |
-
"grad_norm": 0.
|
445 |
"learning_rate": 0.0002,
|
446 |
-
"loss": 0.
|
447 |
"step": 57
|
448 |
},
|
449 |
{
|
450 |
"epoch": 33.142857142857146,
|
451 |
-
"grad_norm": 0.
|
452 |
"learning_rate": 0.0002,
|
453 |
"loss": 0.0,
|
454 |
"step": 58
|
455 |
},
|
456 |
{
|
457 |
"epoch": 34.0,
|
458 |
-
"grad_norm": 0.
|
459 |
"learning_rate": 0.0002,
|
460 |
"loss": 0.0002,
|
461 |
"step": 59
|
462 |
},
|
463 |
{
|
464 |
"epoch": 34.285714285714285,
|
465 |
-
"grad_norm": 0.
|
466 |
"learning_rate": 0.0002,
|
467 |
"loss": 0.0,
|
468 |
"step": 60
|
469 |
},
|
470 |
{
|
471 |
"epoch": 34.285714285714285,
|
472 |
-
"eval_loss": 0.
|
473 |
-
"eval_runtime": 1.
|
474 |
-
"eval_samples_per_second": 6.
|
475 |
-
"eval_steps_per_second": 6.
|
476 |
"step": 60
|
477 |
},
|
478 |
{
|
479 |
"epoch": 34.285714285714285,
|
480 |
"step": 60,
|
481 |
"total_flos": 4016214881861632.0,
|
482 |
-
"train_loss": 0.
|
483 |
-
"train_runtime":
|
484 |
-
"train_samples_per_second": 4.
|
485 |
-
"train_steps_per_second": 0.
|
486 |
}
|
487 |
],
|
488 |
"logging_steps": 1.0,
|
|
|
11 |
{
|
12 |
"epoch": 1.0,
|
13 |
"learning_rate": 0,
|
14 |
+
"loss": 1.3795,
|
15 |
"step": 1
|
16 |
},
|
17 |
{
|
18 |
"epoch": 1.1428571428571428,
|
19 |
+
"grad_norm": 2.172917366027832,
|
20 |
"learning_rate": 0.0,
|
21 |
+
"loss": 0.2103,
|
22 |
"step": 2
|
23 |
},
|
24 |
{
|
25 |
"epoch": 2.0,
|
26 |
+
"grad_norm": 2.172917366027832,
|
27 |
"learning_rate": 0.0,
|
28 |
+
"loss": 0.9608,
|
29 |
"step": 3
|
30 |
},
|
31 |
{
|
32 |
"epoch": 2.2857142857142856,
|
33 |
+
"grad_norm": 0.879162609577179,
|
34 |
"learning_rate": 0.0002,
|
35 |
+
"loss": 0.2294,
|
36 |
"step": 4
|
37 |
},
|
38 |
{
|
39 |
"epoch": 3.0,
|
40 |
+
"grad_norm": 0.879162609577179,
|
41 |
"learning_rate": 0.0002,
|
42 |
+
"loss": 0.8781,
|
43 |
"step": 5
|
44 |
},
|
45 |
{
|
46 |
"epoch": 3.4285714285714284,
|
47 |
+
"grad_norm": 0.752986490726471,
|
48 |
"learning_rate": 0.0002,
|
49 |
+
"loss": 0.5153,
|
50 |
"step": 6
|
51 |
},
|
52 |
{
|
53 |
"epoch": 4.0,
|
54 |
+
"grad_norm": 0.752986490726471,
|
55 |
"learning_rate": 0.0002,
|
56 |
+
"loss": 0.5011,
|
57 |
"step": 7
|
58 |
},
|
59 |
{
|
60 |
"epoch": 4.571428571428571,
|
61 |
+
"grad_norm": 0.5658770203590393,
|
62 |
"learning_rate": 0.0002,
|
63 |
+
"loss": 0.5315,
|
64 |
"step": 8
|
65 |
},
|
66 |
{
|
67 |
"epoch": 5.0,
|
68 |
+
"grad_norm": 0.5658770203590393,
|
69 |
"learning_rate": 0.0002,
|
70 |
+
"loss": 0.3573,
|
71 |
"step": 9
|
72 |
},
|
73 |
{
|
74 |
"epoch": 5.714285714285714,
|
75 |
+
"grad_norm": 0.6311860084533691,
|
76 |
"learning_rate": 0.0002,
|
77 |
+
"loss": 0.632,
|
78 |
"step": 10
|
79 |
},
|
80 |
{
|
81 |
"epoch": 5.714285714285714,
|
82 |
+
"eval_loss": 0.794529914855957,
|
83 |
+
"eval_runtime": 1.124,
|
84 |
+
"eval_samples_per_second": 6.228,
|
85 |
+
"eval_steps_per_second": 6.228,
|
86 |
"step": 10
|
87 |
},
|
88 |
{
|
89 |
"epoch": 6.0,
|
90 |
+
"grad_norm": 0.6311860084533691,
|
91 |
"learning_rate": 0.0002,
|
92 |
+
"loss": 0.1586,
|
93 |
"step": 11
|
94 |
},
|
95 |
{
|
96 |
"epoch": 6.857142857142857,
|
97 |
+
"grad_norm": 0.6447564959526062,
|
98 |
"learning_rate": 0.0002,
|
99 |
+
"loss": 0.5467,
|
100 |
"step": 12
|
101 |
},
|
102 |
{
|
103 |
"epoch": 7.0,
|
104 |
+
"grad_norm": 0.6447564959526062,
|
105 |
"learning_rate": 0.0002,
|
106 |
+
"loss": 0.1358,
|
107 |
"step": 13
|
108 |
},
|
109 |
{
|
110 |
"epoch": 8.0,
|
111 |
+
"grad_norm": 0.502592921257019,
|
112 |
"learning_rate": 0.0002,
|
113 |
+
"loss": 0.586,
|
114 |
"step": 14
|
115 |
},
|
116 |
{
|
117 |
"epoch": 9.0,
|
118 |
+
"grad_norm": 0.502592921257019,
|
119 |
"learning_rate": 0.0002,
|
120 |
+
"loss": 0.4717,
|
121 |
"step": 15
|
122 |
},
|
123 |
{
|
124 |
"epoch": 9.142857142857142,
|
125 |
+
"grad_norm": 0.515450119972229,
|
126 |
"learning_rate": 0.0002,
|
127 |
+
"loss": 0.0492,
|
128 |
"step": 16
|
129 |
},
|
130 |
{
|
131 |
"epoch": 10.0,
|
132 |
+
"grad_norm": 0.515450119972229,
|
133 |
"learning_rate": 0.0002,
|
134 |
+
"loss": 0.3283,
|
135 |
"step": 17
|
136 |
},
|
137 |
{
|
138 |
"epoch": 10.285714285714286,
|
139 |
+
"grad_norm": 0.6195679903030396,
|
140 |
"learning_rate": 0.0002,
|
141 |
+
"loss": 0.1528,
|
142 |
"step": 18
|
143 |
},
|
144 |
{
|
145 |
"epoch": 11.0,
|
146 |
+
"grad_norm": 0.6195679903030396,
|
147 |
"learning_rate": 0.0002,
|
148 |
+
"loss": 0.1333,
|
149 |
"step": 19
|
150 |
},
|
151 |
{
|
152 |
"epoch": 11.428571428571429,
|
153 |
+
"grad_norm": 0.593528151512146,
|
154 |
"learning_rate": 0.0002,
|
155 |
"loss": 0.1008,
|
156 |
"step": 20
|
157 |
},
|
158 |
{
|
159 |
"epoch": 11.428571428571429,
|
160 |
+
"eval_loss": 0.1764988899230957,
|
161 |
+
"eval_runtime": 1.1181,
|
162 |
+
"eval_samples_per_second": 6.26,
|
163 |
+
"eval_steps_per_second": 6.26,
|
164 |
"step": 20
|
165 |
},
|
166 |
{
|
167 |
"epoch": 12.0,
|
168 |
+
"grad_norm": 0.593528151512146,
|
169 |
"learning_rate": 0.0002,
|
170 |
+
"loss": 0.1048,
|
171 |
"step": 21
|
172 |
},
|
173 |
{
|
174 |
"epoch": 12.571428571428571,
|
175 |
+
"grad_norm": 0.5447816848754883,
|
176 |
"learning_rate": 0.0002,
|
177 |
+
"loss": 0.1318,
|
178 |
"step": 22
|
179 |
},
|
180 |
{
|
181 |
"epoch": 13.0,
|
182 |
+
"grad_norm": 0.5447816848754883,
|
183 |
"learning_rate": 0.0002,
|
184 |
+
"loss": 0.0098,
|
185 |
"step": 23
|
186 |
},
|
187 |
{
|
188 |
"epoch": 13.714285714285714,
|
189 |
+
"grad_norm": 0.37343642115592957,
|
190 |
"learning_rate": 0.0002,
|
191 |
+
"loss": 0.069,
|
192 |
"step": 24
|
193 |
},
|
194 |
{
|
195 |
"epoch": 14.0,
|
196 |
+
"grad_norm": 0.37343642115592957,
|
197 |
"learning_rate": 0.0002,
|
198 |
+
"loss": 0.0154,
|
199 |
"step": 25
|
200 |
},
|
201 |
{
|
202 |
"epoch": 14.857142857142858,
|
203 |
+
"grad_norm": 0.5212247967720032,
|
204 |
"learning_rate": 0.0002,
|
205 |
+
"loss": 0.0554,
|
206 |
"step": 26
|
207 |
},
|
208 |
{
|
209 |
"epoch": 15.0,
|
210 |
+
"grad_norm": 0.5212247967720032,
|
211 |
"learning_rate": 0.0002,
|
212 |
+
"loss": 0.0011,
|
213 |
"step": 27
|
214 |
},
|
215 |
{
|
216 |
"epoch": 16.0,
|
217 |
+
"grad_norm": 0.39550113677978516,
|
218 |
"learning_rate": 0.0002,
|
219 |
+
"loss": 0.027,
|
220 |
"step": 28
|
221 |
},
|
222 |
{
|
223 |
"epoch": 17.0,
|
224 |
+
"grad_norm": 0.39550113677978516,
|
225 |
"learning_rate": 0.0002,
|
226 |
+
"loss": 0.0154,
|
227 |
"step": 29
|
228 |
},
|
229 |
{
|
230 |
"epoch": 17.142857142857142,
|
231 |
+
"grad_norm": 0.1997860223054886,
|
232 |
"learning_rate": 0.0002,
|
233 |
"loss": 0.0003,
|
234 |
"step": 30
|
235 |
},
|
236 |
{
|
237 |
"epoch": 17.142857142857142,
|
238 |
+
"eval_loss": 0.009444376453757286,
|
239 |
+
"eval_runtime": 1.1094,
|
240 |
+
"eval_samples_per_second": 6.309,
|
241 |
+
"eval_steps_per_second": 6.309,
|
242 |
"step": 30
|
243 |
},
|
244 |
{
|
245 |
"epoch": 18.0,
|
246 |
+
"grad_norm": 0.1997860223054886,
|
247 |
"learning_rate": 0.0002,
|
248 |
+
"loss": 0.008,
|
249 |
"step": 31
|
250 |
},
|
251 |
{
|
252 |
"epoch": 18.285714285714285,
|
253 |
+
"grad_norm": 0.17780642211437225,
|
254 |
"learning_rate": 0.0002,
|
255 |
+
"loss": 0.0003,
|
256 |
"step": 32
|
257 |
},
|
258 |
{
|
259 |
"epoch": 19.0,
|
260 |
+
"grad_norm": 0.17780642211437225,
|
261 |
"learning_rate": 0.0002,
|
262 |
+
"loss": 0.0024,
|
263 |
"step": 33
|
264 |
},
|
265 |
{
|
266 |
"epoch": 19.428571428571427,
|
267 |
+
"grad_norm": 0.09276885539293289,
|
268 |
"learning_rate": 0.0002,
|
269 |
+
"loss": 0.0016,
|
270 |
"step": 34
|
271 |
},
|
272 |
{
|
273 |
"epoch": 20.0,
|
274 |
+
"grad_norm": 0.09276885539293289,
|
275 |
"learning_rate": 0.0002,
|
276 |
+
"loss": 0.0008,
|
277 |
"step": 35
|
278 |
},
|
279 |
{
|
280 |
"epoch": 20.571428571428573,
|
281 |
+
"grad_norm": 0.03949622064828873,
|
282 |
"learning_rate": 0.0002,
|
283 |
"loss": 0.0004,
|
284 |
"step": 36
|
285 |
},
|
286 |
{
|
287 |
"epoch": 21.0,
|
288 |
+
"grad_norm": 0.03949622064828873,
|
289 |
"learning_rate": 0.0002,
|
290 |
+
"loss": 0.0026,
|
291 |
"step": 37
|
292 |
},
|
293 |
{
|
294 |
"epoch": 21.714285714285715,
|
295 |
+
"grad_norm": 0.48974359035491943,
|
296 |
"learning_rate": 0.0002,
|
297 |
+
"loss": 0.0027,
|
298 |
"step": 38
|
299 |
},
|
300 |
{
|
301 |
"epoch": 22.0,
|
302 |
+
"grad_norm": 0.48974359035491943,
|
303 |
"learning_rate": 0.0002,
|
304 |
+
"loss": 0.0001,
|
305 |
"step": 39
|
306 |
},
|
307 |
{
|
308 |
"epoch": 22.857142857142858,
|
309 |
+
"grad_norm": 0.037879057228565216,
|
310 |
"learning_rate": 0.0002,
|
311 |
+
"loss": 0.0008,
|
312 |
"step": 40
|
313 |
},
|
314 |
{
|
315 |
"epoch": 22.857142857142858,
|
316 |
+
"eval_loss": 0.0010270120110362768,
|
317 |
+
"eval_runtime": 1.107,
|
318 |
+
"eval_samples_per_second": 6.323,
|
319 |
+
"eval_steps_per_second": 6.323,
|
320 |
"step": 40
|
321 |
},
|
322 |
{
|
323 |
"epoch": 23.0,
|
324 |
+
"grad_norm": 0.037879057228565216,
|
325 |
"learning_rate": 0.0002,
|
326 |
+
"loss": 0.0,
|
327 |
"step": 41
|
328 |
},
|
329 |
{
|
330 |
"epoch": 24.0,
|
331 |
+
"grad_norm": 0.07712631672620773,
|
332 |
"learning_rate": 0.0002,
|
333 |
+
"loss": 0.0009,
|
334 |
"step": 42
|
335 |
},
|
336 |
{
|
337 |
"epoch": 25.0,
|
338 |
+
"grad_norm": 0.07712631672620773,
|
339 |
"learning_rate": 0.0002,
|
340 |
+
"loss": 0.0006,
|
341 |
"step": 43
|
342 |
},
|
343 |
{
|
344 |
"epoch": 25.142857142857142,
|
345 |
+
"grad_norm": 0.03069213591516018,
|
346 |
"learning_rate": 0.0002,
|
347 |
+
"loss": 0.0,
|
348 |
"step": 44
|
349 |
},
|
350 |
{
|
351 |
"epoch": 26.0,
|
352 |
+
"grad_norm": 0.03069213591516018,
|
353 |
"learning_rate": 0.0002,
|
354 |
+
"loss": 0.0005,
|
355 |
"step": 45
|
356 |
},
|
357 |
{
|
358 |
"epoch": 26.285714285714285,
|
359 |
+
"grad_norm": 0.04276096820831299,
|
360 |
"learning_rate": 0.0002,
|
361 |
+
"loss": 0.0002,
|
362 |
"step": 46
|
363 |
},
|
364 |
{
|
365 |
"epoch": 27.0,
|
366 |
+
"grad_norm": 0.04276096820831299,
|
367 |
"learning_rate": 0.0002,
|
368 |
"loss": 0.0003,
|
369 |
"step": 47
|
370 |
},
|
371 |
{
|
372 |
"epoch": 27.428571428571427,
|
373 |
+
"grad_norm": 0.018633099272847176,
|
374 |
"learning_rate": 0.0002,
|
375 |
"loss": 0.0001,
|
376 |
"step": 48
|
377 |
},
|
378 |
{
|
379 |
"epoch": 28.0,
|
380 |
+
"grad_norm": 0.018633099272847176,
|
381 |
"learning_rate": 0.0002,
|
382 |
+
"loss": 0.0004,
|
383 |
"step": 49
|
384 |
},
|
385 |
{
|
386 |
"epoch": 28.571428571428573,
|
387 |
+
"grad_norm": 0.05017812177538872,
|
388 |
"learning_rate": 0.0002,
|
389 |
+
"loss": 0.0003,
|
390 |
"step": 50
|
391 |
},
|
392 |
{
|
393 |
"epoch": 28.571428571428573,
|
394 |
+
"eval_loss": 0.00034485122887417674,
|
395 |
+
"eval_runtime": 1.12,
|
396 |
+
"eval_samples_per_second": 6.25,
|
397 |
+
"eval_steps_per_second": 6.25,
|
398 |
"step": 50
|
399 |
},
|
400 |
{
|
401 |
"epoch": 29.0,
|
402 |
+
"grad_norm": 0.05017812177538872,
|
403 |
"learning_rate": 0.0002,
|
404 |
"loss": 0.0001,
|
405 |
"step": 51
|
406 |
},
|
407 |
{
|
408 |
"epoch": 29.714285714285715,
|
409 |
+
"grad_norm": 0.010933789424598217,
|
410 |
"learning_rate": 0.0002,
|
411 |
+
"loss": 0.0002,
|
412 |
"step": 52
|
413 |
},
|
414 |
{
|
415 |
"epoch": 30.0,
|
416 |
+
"grad_norm": 0.010933789424598217,
|
417 |
"learning_rate": 0.0002,
|
418 |
"loss": 0.0001,
|
419 |
"step": 53
|
420 |
},
|
421 |
{
|
422 |
"epoch": 30.857142857142858,
|
423 |
+
"grad_norm": 0.00900160800665617,
|
424 |
"learning_rate": 0.0002,
|
425 |
+
"loss": 0.0002,
|
426 |
"step": 54
|
427 |
},
|
428 |
{
|
429 |
"epoch": 31.0,
|
430 |
+
"grad_norm": 0.00900160800665617,
|
431 |
"learning_rate": 0.0002,
|
432 |
"loss": 0.0,
|
433 |
"step": 55
|
434 |
},
|
435 |
{
|
436 |
"epoch": 32.0,
|
437 |
+
"grad_norm": 0.018903745338320732,
|
438 |
"learning_rate": 0.0002,
|
439 |
"loss": 0.0003,
|
440 |
"step": 56
|
441 |
},
|
442 |
{
|
443 |
"epoch": 33.0,
|
444 |
+
"grad_norm": 0.018903745338320732,
|
445 |
"learning_rate": 0.0002,
|
446 |
+
"loss": 0.0002,
|
447 |
"step": 57
|
448 |
},
|
449 |
{
|
450 |
"epoch": 33.142857142857146,
|
451 |
+
"grad_norm": 0.01036656741052866,
|
452 |
"learning_rate": 0.0002,
|
453 |
"loss": 0.0,
|
454 |
"step": 58
|
455 |
},
|
456 |
{
|
457 |
"epoch": 34.0,
|
458 |
+
"grad_norm": 0.01036656741052866,
|
459 |
"learning_rate": 0.0002,
|
460 |
"loss": 0.0002,
|
461 |
"step": 59
|
462 |
},
|
463 |
{
|
464 |
"epoch": 34.285714285714285,
|
465 |
+
"grad_norm": 0.007697099819779396,
|
466 |
"learning_rate": 0.0002,
|
467 |
"loss": 0.0,
|
468 |
"step": 60
|
469 |
},
|
470 |
{
|
471 |
"epoch": 34.285714285714285,
|
472 |
+
"eval_loss": 0.00019181256357114762,
|
473 |
+
"eval_runtime": 1.1116,
|
474 |
+
"eval_samples_per_second": 6.297,
|
475 |
+
"eval_steps_per_second": 6.297,
|
476 |
"step": 60
|
477 |
},
|
478 |
{
|
479 |
"epoch": 34.285714285714285,
|
480 |
"step": 60,
|
481 |
"total_flos": 4016214881861632.0,
|
482 |
+
"train_loss": 0.1552126432957569,
|
483 |
+
"train_runtime": 117.5216,
|
484 |
+
"train_samples_per_second": 4.084,
|
485 |
+
"train_steps_per_second": 0.511
|
486 |
}
|
487 |
],
|
488 |
"logging_steps": 1.0,
|
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:d053104d6a663a0038dc16cb5997c1dc27511c9347611845f73b7419111e2961
|
3 |
+
size 6840
|