Theoreticallyhugo
commited on
Commit
•
4c3264f
1
Parent(s):
dad1c07
Training in progress, epoch 38, checkpoint
Browse files- checkpoint-3078/model.safetensors +1 -1
- checkpoint-3078/optimizer.pt +1 -1
- checkpoint-3078/rng_state.pth +1 -1
- checkpoint-3078/trainer_state.json +1142 -1142
- checkpoint-3078/training_args.bin +1 -1
checkpoint-3078/model.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 592324828
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:6cfc1c16eddb58021123327b61ba8fb0daa41207dbff2198723997ce9ff77391
|
3 |
size 592324828
|
checkpoint-3078/optimizer.pt
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 1014657786
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:8f558b2cfb13e158f0fac2f2c15827805b1c56d04ac04a716fbd1563ad5cd7f6
|
3 |
size 1014657786
|
checkpoint-3078/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 sha256:04a587a13cc1d543ea3fd5d3f5254d6e6414bd23b2824c54c6f58f9f035f111f
|
3 |
size 14244
|
checkpoint-3078/trainer_state.json
CHANGED
@@ -11,1752 +11,1752 @@
|
|
11 |
{
|
12 |
"epoch": 1.0,
|
13 |
"eval_Claim": {
|
14 |
-
"f1-score": 0.
|
15 |
-
"precision": 0.
|
16 |
-
"recall": 0.
|
17 |
-
"support":
|
18 |
},
|
19 |
"eval_MajorClaim": {
|
20 |
-
"f1-score": 0.
|
21 |
-
"precision": 0.
|
22 |
-
"recall": 0.
|
23 |
-
"support":
|
24 |
},
|
25 |
"eval_O": {
|
26 |
-
"f1-score": 0.
|
27 |
-
"precision": 0.
|
28 |
-
"recall": 0.
|
29 |
-
"support":
|
30 |
},
|
31 |
"eval_Premise": {
|
32 |
-
"f1-score": 0.
|
33 |
-
"precision": 0.
|
34 |
-
"recall": 0.
|
35 |
-
"support":
|
36 |
},
|
37 |
-
"eval_accuracy": 0.
|
38 |
-
"eval_loss": 0.
|
39 |
"eval_macro avg": {
|
40 |
-
"f1-score": 0.
|
41 |
-
"precision": 0.
|
42 |
-
"recall": 0.
|
43 |
-
"support":
|
44 |
-
},
|
45 |
-
"eval_runtime": 4.
|
46 |
-
"eval_samples_per_second": 16.
|
47 |
-
"eval_steps_per_second": 2.
|
48 |
"eval_weighted avg": {
|
49 |
-
"f1-score": 0.
|
50 |
-
"precision": 0.
|
51 |
-
"recall": 0.
|
52 |
-
"support":
|
53 |
},
|
54 |
"step": 81
|
55 |
},
|
56 |
{
|
57 |
"epoch": 2.0,
|
58 |
"eval_Claim": {
|
59 |
-
"f1-score": 0.
|
60 |
-
"precision": 0.
|
61 |
-
"recall": 0.
|
62 |
-
"support":
|
63 |
},
|
64 |
"eval_MajorClaim": {
|
65 |
-
"f1-score": 0.
|
66 |
-
"precision": 0.
|
67 |
-
"recall": 0.
|
68 |
-
"support":
|
69 |
},
|
70 |
"eval_O": {
|
71 |
-
"f1-score": 0.
|
72 |
-
"precision": 0.
|
73 |
-
"recall": 0
|
74 |
-
"support":
|
75 |
},
|
76 |
"eval_Premise": {
|
77 |
-
"f1-score": 0.
|
78 |
-
"precision": 0.
|
79 |
-
"recall": 0.
|
80 |
-
"support":
|
81 |
},
|
82 |
-
"eval_accuracy": 0.
|
83 |
-
"eval_loss": 0.
|
84 |
"eval_macro avg": {
|
85 |
-
"f1-score": 0.
|
86 |
-
"precision": 0.
|
87 |
-
"recall": 0.
|
88 |
-
"support":
|
89 |
-
},
|
90 |
-
"eval_runtime":
|
91 |
-
"eval_samples_per_second": 16.
|
92 |
-
"eval_steps_per_second": 2.
|
93 |
"eval_weighted avg": {
|
94 |
-
"f1-score": 0.
|
95 |
-
"precision": 0.
|
96 |
-
"recall": 0.
|
97 |
-
"support":
|
98 |
},
|
99 |
"step": 162
|
100 |
},
|
101 |
{
|
102 |
"epoch": 3.0,
|
103 |
"eval_Claim": {
|
104 |
-
"f1-score": 0.
|
105 |
-
"precision": 0.
|
106 |
-
"recall": 0.
|
107 |
-
"support":
|
108 |
},
|
109 |
"eval_MajorClaim": {
|
110 |
-
"f1-score": 0.
|
111 |
-
"precision": 0.
|
112 |
-
"recall": 0.
|
113 |
-
"support":
|
114 |
},
|
115 |
"eval_O": {
|
116 |
-
"f1-score": 0.
|
117 |
-
"precision": 0
|
118 |
-
"recall": 0.
|
119 |
-
"support":
|
120 |
},
|
121 |
"eval_Premise": {
|
122 |
-
"f1-score": 0.
|
123 |
-
"precision": 0.
|
124 |
-
"recall": 0.
|
125 |
-
"support":
|
126 |
},
|
127 |
-
"eval_accuracy": 0.
|
128 |
-
"eval_loss": 0.
|
129 |
"eval_macro avg": {
|
130 |
-
"f1-score": 0.
|
131 |
-
"precision": 0.
|
132 |
-
"recall": 0.
|
133 |
-
"support":
|
134 |
-
},
|
135 |
-
"eval_runtime": 4.
|
136 |
-
"eval_samples_per_second": 16.
|
137 |
-
"eval_steps_per_second": 2.
|
138 |
"eval_weighted avg": {
|
139 |
-
"f1-score": 0.
|
140 |
-
"precision": 0.
|
141 |
-
"recall": 0.
|
142 |
-
"support":
|
143 |
},
|
144 |
"step": 243
|
145 |
},
|
146 |
{
|
147 |
"epoch": 4.0,
|
148 |
"eval_Claim": {
|
149 |
-
"f1-score": 0.
|
150 |
-
"precision": 0.
|
151 |
-
"recall": 0.
|
152 |
-
"support":
|
153 |
},
|
154 |
"eval_MajorClaim": {
|
155 |
-
"f1-score": 0.
|
156 |
-
"precision": 0.
|
157 |
-
"recall": 0.
|
158 |
-
"support":
|
159 |
},
|
160 |
"eval_O": {
|
161 |
-
"f1-score": 0
|
162 |
-
"precision": 0
|
163 |
-
"recall": 0
|
164 |
-
"support":
|
165 |
},
|
166 |
"eval_Premise": {
|
167 |
-
"f1-score": 0.
|
168 |
-
"precision": 0.
|
169 |
-
"recall": 0.
|
170 |
-
"support":
|
171 |
},
|
172 |
-
"eval_accuracy": 0.
|
173 |
-
"eval_loss": 0.
|
174 |
"eval_macro avg": {
|
175 |
-
"f1-score": 0.
|
176 |
-
"precision": 0.
|
177 |
-
"recall": 0.
|
178 |
-
"support":
|
179 |
-
},
|
180 |
-
"eval_runtime": 4.
|
181 |
-
"eval_samples_per_second": 16.
|
182 |
-
"eval_steps_per_second": 2.
|
183 |
"eval_weighted avg": {
|
184 |
-
"f1-score": 0.
|
185 |
-
"precision": 0.
|
186 |
-
"recall": 0.
|
187 |
-
"support":
|
188 |
},
|
189 |
"step": 324
|
190 |
},
|
191 |
{
|
192 |
"epoch": 5.0,
|
193 |
"eval_Claim": {
|
194 |
-
"f1-score": 0.
|
195 |
-
"precision": 0.
|
196 |
-
"recall": 0.
|
197 |
-
"support":
|
198 |
},
|
199 |
"eval_MajorClaim": {
|
200 |
-
"f1-score": 0.
|
201 |
-
"precision": 0.
|
202 |
-
"recall": 0.
|
203 |
-
"support":
|
204 |
},
|
205 |
"eval_O": {
|
206 |
-
"f1-score": 0.
|
207 |
-
"precision": 0.
|
208 |
-
"recall": 0
|
209 |
-
"support":
|
210 |
},
|
211 |
"eval_Premise": {
|
212 |
-
"f1-score": 0.
|
213 |
-
"precision": 0.
|
214 |
-
"recall": 0.
|
215 |
-
"support":
|
216 |
},
|
217 |
-
"eval_accuracy": 0.
|
218 |
-
"eval_loss": 0.
|
219 |
"eval_macro avg": {
|
220 |
-
"f1-score": 0.
|
221 |
-
"precision": 0.
|
222 |
-
"recall": 0.
|
223 |
-
"support":
|
224 |
-
},
|
225 |
-
"eval_runtime": 4.
|
226 |
-
"eval_samples_per_second": 16.
|
227 |
-
"eval_steps_per_second": 2.
|
228 |
"eval_weighted avg": {
|
229 |
-
"f1-score": 0.
|
230 |
-
"precision": 0.
|
231 |
-
"recall": 0.
|
232 |
-
"support":
|
233 |
},
|
234 |
"step": 405
|
235 |
},
|
236 |
{
|
237 |
"epoch": 6.0,
|
238 |
"eval_Claim": {
|
239 |
-
"f1-score": 0.
|
240 |
-
"precision": 0.
|
241 |
-
"recall": 0.
|
242 |
-
"support":
|
243 |
},
|
244 |
"eval_MajorClaim": {
|
245 |
-
"f1-score": 0.
|
246 |
-
"precision": 0.
|
247 |
-
"recall": 0.
|
248 |
-
"support":
|
249 |
},
|
250 |
"eval_O": {
|
251 |
-
"f1-score": 0.
|
252 |
-
"precision": 0.
|
253 |
-
"recall": 0
|
254 |
-
"support":
|
255 |
},
|
256 |
"eval_Premise": {
|
257 |
-
"f1-score": 0.
|
258 |
-
"precision": 0.
|
259 |
-
"recall": 0.
|
260 |
-
"support":
|
261 |
},
|
262 |
-
"eval_accuracy": 0.
|
263 |
-
"eval_loss": 0.
|
264 |
"eval_macro avg": {
|
265 |
-
"f1-score": 0.
|
266 |
-
"precision": 0.
|
267 |
-
"recall": 0.
|
268 |
-
"support":
|
269 |
-
},
|
270 |
-
"eval_runtime": 4.
|
271 |
-
"eval_samples_per_second": 16.
|
272 |
-
"eval_steps_per_second": 2.
|
273 |
"eval_weighted avg": {
|
274 |
-
"f1-score": 0.
|
275 |
-
"precision": 0.
|
276 |
-
"recall": 0.
|
277 |
-
"support":
|
278 |
},
|
279 |
"step": 486
|
280 |
},
|
281 |
{
|
282 |
"epoch": 6.17,
|
283 |
-
"grad_norm":
|
284 |
"learning_rate": 1.7530864197530865e-05,
|
285 |
-
"loss": 0.
|
286 |
"step": 500
|
287 |
},
|
288 |
{
|
289 |
"epoch": 7.0,
|
290 |
"eval_Claim": {
|
291 |
-
"f1-score": 0.
|
292 |
-
"precision": 0.
|
293 |
-
"recall": 0.
|
294 |
-
"support":
|
295 |
},
|
296 |
"eval_MajorClaim": {
|
297 |
-
"f1-score": 0.
|
298 |
-
"precision": 0.
|
299 |
-
"recall": 0.
|
300 |
-
"support":
|
301 |
},
|
302 |
"eval_O": {
|
303 |
-
"f1-score": 0.
|
304 |
-
"precision": 0.
|
305 |
-
"recall": 0.
|
306 |
-
"support":
|
307 |
},
|
308 |
"eval_Premise": {
|
309 |
-
"f1-score": 0.
|
310 |
-
"precision": 0.
|
311 |
-
"recall": 0.
|
312 |
-
"support":
|
313 |
},
|
314 |
-
"eval_accuracy": 0.
|
315 |
-
"eval_loss": 0.
|
316 |
"eval_macro avg": {
|
317 |
-
"f1-score": 0.
|
318 |
-
"precision": 0.
|
319 |
-
"recall": 0.
|
320 |
-
"support":
|
321 |
-
},
|
322 |
-
"eval_runtime": 4.
|
323 |
-
"eval_samples_per_second": 16.
|
324 |
-
"eval_steps_per_second": 2.
|
325 |
"eval_weighted avg": {
|
326 |
-
"f1-score": 0.
|
327 |
-
"precision": 0.
|
328 |
-
"recall": 0.
|
329 |
-
"support":
|
330 |
},
|
331 |
"step": 567
|
332 |
},
|
333 |
{
|
334 |
"epoch": 8.0,
|
335 |
"eval_Claim": {
|
336 |
-
"f1-score": 0.
|
337 |
-
"precision": 0.
|
338 |
-
"recall": 0.
|
339 |
-
"support":
|
340 |
},
|
341 |
"eval_MajorClaim": {
|
342 |
-
"f1-score": 0.
|
343 |
-
"precision": 0.
|
344 |
-
"recall": 0.
|
345 |
-
"support":
|
346 |
},
|
347 |
"eval_O": {
|
348 |
-
"f1-score": 0.
|
349 |
-
"precision": 0
|
350 |
-
"recall": 0.
|
351 |
-
"support":
|
352 |
},
|
353 |
"eval_Premise": {
|
354 |
-
"f1-score": 0.
|
355 |
-
"precision": 0.
|
356 |
-
"recall": 0.
|
357 |
-
"support":
|
358 |
},
|
359 |
-
"eval_accuracy": 0.
|
360 |
-
"eval_loss": 0.
|
361 |
"eval_macro avg": {
|
362 |
-
"f1-score": 0.
|
363 |
-
"precision": 0.
|
364 |
-
"recall": 0.
|
365 |
-
"support":
|
366 |
-
},
|
367 |
-
"eval_runtime": 4.
|
368 |
-
"eval_samples_per_second": 16.
|
369 |
-
"eval_steps_per_second": 2.
|
370 |
"eval_weighted avg": {
|
371 |
-
"f1-score": 0.
|
372 |
-
"precision": 0.
|
373 |
-
"recall": 0.
|
374 |
-
"support":
|
375 |
},
|
376 |
"step": 648
|
377 |
},
|
378 |
{
|
379 |
"epoch": 9.0,
|
380 |
"eval_Claim": {
|
381 |
-
"f1-score": 0.
|
382 |
-
"precision": 0.
|
383 |
-
"recall": 0.
|
384 |
-
"support":
|
385 |
},
|
386 |
"eval_MajorClaim": {
|
387 |
-
"f1-score": 0.
|
388 |
-
"precision": 0.
|
389 |
-
"recall": 0.
|
390 |
-
"support":
|
391 |
},
|
392 |
"eval_O": {
|
393 |
-
"f1-score": 0.
|
394 |
-
"precision": 0.
|
395 |
-
"recall": 0
|
396 |
-
"support":
|
397 |
},
|
398 |
"eval_Premise": {
|
399 |
-
"f1-score": 0.
|
400 |
-
"precision": 0.
|
401 |
-
"recall": 0.
|
402 |
-
"support":
|
403 |
},
|
404 |
-
"eval_accuracy": 0.
|
405 |
-
"eval_loss": 0.
|
406 |
"eval_macro avg": {
|
407 |
-
"f1-score": 0.
|
408 |
-
"precision": 0.
|
409 |
-
"recall": 0.
|
410 |
-
"support":
|
411 |
-
},
|
412 |
-
"eval_runtime":
|
413 |
-
"eval_samples_per_second": 16.
|
414 |
-
"eval_steps_per_second": 2.
|
415 |
"eval_weighted avg": {
|
416 |
-
"f1-score": 0.
|
417 |
-
"precision": 0.
|
418 |
-
"recall": 0.
|
419 |
-
"support":
|
420 |
},
|
421 |
"step": 729
|
422 |
},
|
423 |
{
|
424 |
"epoch": 10.0,
|
425 |
"eval_Claim": {
|
426 |
-
"f1-score": 0.
|
427 |
-
"precision": 0.
|
428 |
-
"recall": 0.
|
429 |
-
"support":
|
430 |
},
|
431 |
"eval_MajorClaim": {
|
432 |
-
"f1-score": 0.
|
433 |
-
"precision": 0.
|
434 |
-
"recall": 0.
|
435 |
-
"support":
|
436 |
},
|
437 |
"eval_O": {
|
438 |
-
"f1-score": 0
|
439 |
-
"precision": 0
|
440 |
-
"recall": 0
|
441 |
-
"support":
|
442 |
},
|
443 |
"eval_Premise": {
|
444 |
-
"f1-score": 0.
|
445 |
-
"precision": 0.
|
446 |
-
"recall": 0.
|
447 |
-
"support":
|
448 |
},
|
449 |
-
"eval_accuracy": 0.
|
450 |
-
"eval_loss": 0.
|
451 |
"eval_macro avg": {
|
452 |
-
"f1-score": 0.
|
453 |
-
"precision": 0.
|
454 |
-
"recall": 0.
|
455 |
-
"support":
|
456 |
-
},
|
457 |
-
"eval_runtime": 4.
|
458 |
-
"eval_samples_per_second": 16.
|
459 |
-
"eval_steps_per_second": 2.
|
460 |
"eval_weighted avg": {
|
461 |
-
"f1-score": 0.
|
462 |
-
"precision": 0.
|
463 |
-
"recall": 0.
|
464 |
-
"support":
|
465 |
},
|
466 |
"step": 810
|
467 |
},
|
468 |
{
|
469 |
"epoch": 11.0,
|
470 |
"eval_Claim": {
|
471 |
-
"f1-score": 0.
|
472 |
-
"precision": 0.
|
473 |
-
"recall": 0.
|
474 |
-
"support":
|
475 |
},
|
476 |
"eval_MajorClaim": {
|
477 |
-
"f1-score": 0.
|
478 |
-
"precision": 0.
|
479 |
-
"recall": 0.
|
480 |
-
"support":
|
481 |
},
|
482 |
"eval_O": {
|
483 |
-
"f1-score": 0.
|
484 |
-
"precision": 0.
|
485 |
-
"recall": 0
|
486 |
-
"support":
|
487 |
},
|
488 |
"eval_Premise": {
|
489 |
-
"f1-score": 0.
|
490 |
-
"precision": 0.
|
491 |
-
"recall": 0.
|
492 |
-
"support":
|
493 |
},
|
494 |
-
"eval_accuracy": 0.
|
495 |
-
"eval_loss": 0.
|
496 |
"eval_macro avg": {
|
497 |
-
"f1-score": 0.
|
498 |
-
"precision": 0.
|
499 |
-
"recall": 0.
|
500 |
-
"support":
|
501 |
-
},
|
502 |
-
"eval_runtime":
|
503 |
-
"eval_samples_per_second": 16.
|
504 |
-
"eval_steps_per_second": 2.
|
505 |
"eval_weighted avg": {
|
506 |
-
"f1-score": 0.
|
507 |
-
"precision": 0.
|
508 |
-
"recall": 0.
|
509 |
-
"support":
|
510 |
},
|
511 |
"step": 891
|
512 |
},
|
513 |
{
|
514 |
"epoch": 12.0,
|
515 |
"eval_Claim": {
|
516 |
-
"f1-score": 0.
|
517 |
-
"precision": 0.
|
518 |
-
"recall": 0.
|
519 |
-
"support":
|
520 |
},
|
521 |
"eval_MajorClaim": {
|
522 |
-
"f1-score": 0.
|
523 |
-
"precision": 0.
|
524 |
-
"recall":
|
525 |
-
"support":
|
526 |
},
|
527 |
"eval_O": {
|
528 |
-
"f1-score": 0
|
529 |
-
"precision": 0
|
530 |
-
"recall": 0
|
531 |
-
"support":
|
532 |
},
|
533 |
"eval_Premise": {
|
534 |
-
"f1-score": 0.
|
535 |
-
"precision": 0.
|
536 |
-
"recall": 0.
|
537 |
-
"support":
|
538 |
},
|
539 |
-
"eval_accuracy": 0.
|
540 |
-
"eval_loss": 0.
|
541 |
"eval_macro avg": {
|
542 |
-
"f1-score": 0.
|
543 |
-
"precision": 0.
|
544 |
-
"recall": 0.
|
545 |
-
"support":
|
546 |
-
},
|
547 |
-
"eval_runtime": 4.
|
548 |
-
"eval_samples_per_second": 16.
|
549 |
-
"eval_steps_per_second": 2.
|
550 |
"eval_weighted avg": {
|
551 |
-
"f1-score": 0.
|
552 |
-
"precision": 0.
|
553 |
-
"recall": 0.
|
554 |
-
"support":
|
555 |
},
|
556 |
"step": 972
|
557 |
},
|
558 |
{
|
559 |
"epoch": 12.35,
|
560 |
-
"grad_norm": 3.
|
561 |
"learning_rate": 1.506172839506173e-05,
|
562 |
-
"loss": 0.
|
563 |
"step": 1000
|
564 |
},
|
565 |
{
|
566 |
"epoch": 13.0,
|
567 |
"eval_Claim": {
|
568 |
-
"f1-score": 0.
|
569 |
-
"precision": 0.
|
570 |
-
"recall": 0.
|
571 |
-
"support":
|
572 |
},
|
573 |
"eval_MajorClaim": {
|
574 |
-
"f1-score": 0.
|
575 |
-
"precision": 0.
|
576 |
-
"recall": 0.
|
577 |
-
"support":
|
578 |
},
|
579 |
"eval_O": {
|
580 |
-
"f1-score": 0.
|
581 |
-
"precision": 0.
|
582 |
-
"recall": 0
|
583 |
-
"support":
|
584 |
},
|
585 |
"eval_Premise": {
|
586 |
-
"f1-score": 0.
|
587 |
-
"precision": 0.
|
588 |
-
"recall": 0.
|
589 |
-
"support":
|
590 |
},
|
591 |
-
"eval_accuracy": 0.
|
592 |
-
"eval_loss": 0.
|
593 |
"eval_macro avg": {
|
594 |
-
"f1-score": 0.
|
595 |
-
"precision": 0.
|
596 |
-
"recall": 0.
|
597 |
-
"support":
|
598 |
-
},
|
599 |
-
"eval_runtime": 4.
|
600 |
-
"eval_samples_per_second": 16.
|
601 |
-
"eval_steps_per_second": 2.
|
602 |
"eval_weighted avg": {
|
603 |
-
"f1-score": 0.
|
604 |
-
"precision": 0.
|
605 |
-
"recall": 0.
|
606 |
-
"support":
|
607 |
},
|
608 |
"step": 1053
|
609 |
},
|
610 |
{
|
611 |
"epoch": 14.0,
|
612 |
"eval_Claim": {
|
613 |
-
"f1-score": 0.
|
614 |
-
"precision": 0.
|
615 |
-
"recall": 0.
|
616 |
-
"support":
|
617 |
},
|
618 |
"eval_MajorClaim": {
|
619 |
-
"f1-score": 0.
|
620 |
-
"precision": 0.
|
621 |
-
"recall": 0.
|
622 |
-
"support":
|
623 |
},
|
624 |
"eval_O": {
|
625 |
-
"f1-score": 0
|
626 |
"precision": 1.0,
|
627 |
-
"recall": 0
|
628 |
-
"support":
|
629 |
},
|
630 |
"eval_Premise": {
|
631 |
-
"f1-score": 0.
|
632 |
-
"precision": 0.
|
633 |
-
"recall": 0.
|
634 |
-
"support":
|
635 |
},
|
636 |
-
"eval_accuracy": 0.
|
637 |
-
"eval_loss": 0.
|
638 |
"eval_macro avg": {
|
639 |
-
"f1-score": 0.
|
640 |
-
"precision": 0.
|
641 |
-
"recall": 0.
|
642 |
-
"support":
|
643 |
-
},
|
644 |
-
"eval_runtime": 4.
|
645 |
-
"eval_samples_per_second": 16.
|
646 |
-
"eval_steps_per_second": 2.
|
647 |
"eval_weighted avg": {
|
648 |
-
"f1-score": 0.
|
649 |
-
"precision": 0.
|
650 |
-
"recall": 0.
|
651 |
-
"support":
|
652 |
},
|
653 |
"step": 1134
|
654 |
},
|
655 |
{
|
656 |
"epoch": 15.0,
|
657 |
"eval_Claim": {
|
658 |
-
"f1-score": 0.
|
659 |
-
"precision": 0.
|
660 |
-
"recall": 0.
|
661 |
-
"support":
|
662 |
},
|
663 |
"eval_MajorClaim": {
|
664 |
-
"f1-score": 0.
|
665 |
-
"precision": 0.
|
666 |
-
"recall": 0.
|
667 |
-
"support":
|
668 |
},
|
669 |
"eval_O": {
|
670 |
-
"f1-score": 0
|
671 |
-
"precision": 0
|
672 |
-
"recall": 0
|
673 |
-
"support":
|
674 |
},
|
675 |
"eval_Premise": {
|
676 |
-
"f1-score": 0.
|
677 |
-
"precision": 0.
|
678 |
-
"recall": 0.
|
679 |
-
"support":
|
680 |
},
|
681 |
-
"eval_accuracy": 0.
|
682 |
-
"eval_loss": 0.
|
683 |
"eval_macro avg": {
|
684 |
-
"f1-score": 0.
|
685 |
-
"precision": 0.
|
686 |
-
"recall": 0.
|
687 |
-
"support":
|
688 |
-
},
|
689 |
-
"eval_runtime": 4.
|
690 |
-
"eval_samples_per_second": 16.
|
691 |
-
"eval_steps_per_second": 2.
|
692 |
"eval_weighted avg": {
|
693 |
-
"f1-score": 0.
|
694 |
-
"precision": 0.
|
695 |
-
"recall": 0.
|
696 |
-
"support":
|
697 |
},
|
698 |
"step": 1215
|
699 |
},
|
700 |
{
|
701 |
"epoch": 16.0,
|
702 |
"eval_Claim": {
|
703 |
-
"f1-score": 0.
|
704 |
-
"precision": 0.
|
705 |
-
"recall": 0.
|
706 |
-
"support":
|
707 |
},
|
708 |
"eval_MajorClaim": {
|
709 |
-
"f1-score": 0.
|
710 |
-
"precision": 0.
|
711 |
-
"recall": 0.
|
712 |
-
"support":
|
713 |
},
|
714 |
"eval_O": {
|
715 |
-
"f1-score": 0
|
716 |
"precision": 1.0,
|
717 |
-
"recall": 0
|
718 |
-
"support":
|
719 |
},
|
720 |
"eval_Premise": {
|
721 |
-
"f1-score": 0.
|
722 |
-
"precision": 0.
|
723 |
-
"recall": 0.
|
724 |
-
"support":
|
725 |
},
|
726 |
-
"eval_accuracy": 0.
|
727 |
-
"eval_loss": 0.
|
728 |
"eval_macro avg": {
|
729 |
-
"f1-score": 0.
|
730 |
-
"precision": 0.
|
731 |
-
"recall": 0.
|
732 |
-
"support":
|
733 |
-
},
|
734 |
-
"eval_runtime": 4.
|
735 |
-
"eval_samples_per_second": 16.
|
736 |
-
"eval_steps_per_second": 2.
|
737 |
"eval_weighted avg": {
|
738 |
-
"f1-score": 0.
|
739 |
-
"precision": 0.
|
740 |
-
"recall": 0.
|
741 |
-
"support":
|
742 |
},
|
743 |
"step": 1296
|
744 |
},
|
745 |
{
|
746 |
"epoch": 17.0,
|
747 |
"eval_Claim": {
|
748 |
-
"f1-score": 0.
|
749 |
-
"precision": 0.
|
750 |
-
"recall": 0.
|
751 |
-
"support":
|
752 |
},
|
753 |
"eval_MajorClaim": {
|
754 |
-
"f1-score": 0.
|
755 |
-
"precision": 0.
|
756 |
-
"recall": 0.
|
757 |
-
"support":
|
758 |
},
|
759 |
"eval_O": {
|
760 |
-
"f1-score": 0.
|
761 |
-
"precision": 0.
|
762 |
-
"recall": 0
|
763 |
-
"support":
|
764 |
},
|
765 |
"eval_Premise": {
|
766 |
-
"f1-score": 0.
|
767 |
-
"precision": 0.
|
768 |
-
"recall": 0.
|
769 |
-
"support":
|
770 |
},
|
771 |
-
"eval_accuracy": 0.
|
772 |
-
"eval_loss": 0.
|
773 |
"eval_macro avg": {
|
774 |
-
"f1-score": 0.
|
775 |
-
"precision": 0.
|
776 |
-
"recall": 0.
|
777 |
-
"support":
|
778 |
-
},
|
779 |
-
"eval_runtime":
|
780 |
-
"eval_samples_per_second": 16.
|
781 |
-
"eval_steps_per_second": 2.
|
782 |
"eval_weighted avg": {
|
783 |
-
"f1-score": 0.
|
784 |
-
"precision": 0.
|
785 |
-
"recall": 0.
|
786 |
-
"support":
|
787 |
},
|
788 |
"step": 1377
|
789 |
},
|
790 |
{
|
791 |
"epoch": 18.0,
|
792 |
"eval_Claim": {
|
793 |
-
"f1-score": 0.
|
794 |
-
"precision": 0.
|
795 |
-
"recall": 0.
|
796 |
-
"support":
|
797 |
},
|
798 |
"eval_MajorClaim": {
|
799 |
-
"f1-score": 0.
|
800 |
-
"precision": 0.
|
801 |
-
"recall": 0.
|
802 |
-
"support":
|
803 |
},
|
804 |
"eval_O": {
|
805 |
-
"f1-score": 0.
|
806 |
-
"precision": 0.
|
807 |
-
"recall": 0
|
808 |
-
"support":
|
809 |
},
|
810 |
"eval_Premise": {
|
811 |
-
"f1-score": 0.
|
812 |
-
"precision": 0.
|
813 |
-
"recall": 0.
|
814 |
-
"support":
|
815 |
},
|
816 |
-
"eval_accuracy": 0.
|
817 |
-
"eval_loss": 0.
|
818 |
"eval_macro avg": {
|
819 |
-
"f1-score": 0.
|
820 |
-
"precision": 0.
|
821 |
-
"recall": 0.
|
822 |
-
"support":
|
823 |
-
},
|
824 |
-
"eval_runtime": 4.
|
825 |
-
"eval_samples_per_second": 16.
|
826 |
-
"eval_steps_per_second": 2.
|
827 |
"eval_weighted avg": {
|
828 |
-
"f1-score": 0.
|
829 |
-
"precision": 0.
|
830 |
-
"recall": 0.
|
831 |
-
"support":
|
832 |
},
|
833 |
"step": 1458
|
834 |
},
|
835 |
{
|
836 |
"epoch": 18.52,
|
837 |
-
"grad_norm":
|
838 |
"learning_rate": 1.2592592592592593e-05,
|
839 |
-
"loss": 0.
|
840 |
"step": 1500
|
841 |
},
|
842 |
{
|
843 |
"epoch": 19.0,
|
844 |
"eval_Claim": {
|
845 |
-
"f1-score": 0.
|
846 |
-
"precision": 0.
|
847 |
-
"recall": 0.
|
848 |
-
"support":
|
849 |
},
|
850 |
"eval_MajorClaim": {
|
851 |
-
"f1-score": 0.
|
852 |
-
"precision": 0.
|
853 |
-
"recall": 0.
|
854 |
-
"support":
|
855 |
},
|
856 |
"eval_O": {
|
857 |
-
"f1-score": 0
|
858 |
"precision": 1.0,
|
859 |
-
"recall": 0
|
860 |
-
"support":
|
861 |
},
|
862 |
"eval_Premise": {
|
863 |
-
"f1-score": 0.
|
864 |
-
"precision": 0.
|
865 |
-
"recall": 0.
|
866 |
-
"support":
|
867 |
},
|
868 |
-
"eval_accuracy": 0.
|
869 |
-
"eval_loss": 0.
|
870 |
"eval_macro avg": {
|
871 |
-
"f1-score": 0.
|
872 |
-
"precision": 0.
|
873 |
-
"recall": 0.
|
874 |
-
"support":
|
875 |
-
},
|
876 |
-
"eval_runtime": 4.
|
877 |
-
"eval_samples_per_second": 16.
|
878 |
-
"eval_steps_per_second": 2.
|
879 |
"eval_weighted avg": {
|
880 |
-
"f1-score": 0.
|
881 |
-
"precision": 0.
|
882 |
-
"recall": 0.
|
883 |
-
"support":
|
884 |
},
|
885 |
"step": 1539
|
886 |
},
|
887 |
{
|
888 |
"epoch": 20.0,
|
889 |
"eval_Claim": {
|
890 |
-
"f1-score": 0.
|
891 |
-
"precision": 0.
|
892 |
-
"recall": 0.
|
893 |
-
"support":
|
894 |
},
|
895 |
"eval_MajorClaim": {
|
896 |
-
"f1-score": 0.
|
897 |
-
"precision": 0.
|
898 |
-
"recall": 0.
|
899 |
-
"support":
|
900 |
},
|
901 |
"eval_O": {
|
902 |
-
"f1-score": 0
|
903 |
-
"precision": 0
|
904 |
-
"recall": 0
|
905 |
-
"support":
|
906 |
},
|
907 |
"eval_Premise": {
|
908 |
-
"f1-score": 0.
|
909 |
-
"precision": 0.
|
910 |
-
"recall": 0.
|
911 |
-
"support":
|
912 |
},
|
913 |
-
"eval_accuracy": 0.
|
914 |
-
"eval_loss": 0.
|
915 |
"eval_macro avg": {
|
916 |
-
"f1-score": 0.
|
917 |
-
"precision": 0.
|
918 |
-
"recall": 0.
|
919 |
-
"support":
|
920 |
-
},
|
921 |
-
"eval_runtime":
|
922 |
-
"eval_samples_per_second": 16.
|
923 |
-
"eval_steps_per_second": 2.
|
924 |
"eval_weighted avg": {
|
925 |
-
"f1-score": 0.
|
926 |
-
"precision": 0.
|
927 |
-
"recall": 0.
|
928 |
-
"support":
|
929 |
},
|
930 |
"step": 1620
|
931 |
},
|
932 |
{
|
933 |
"epoch": 21.0,
|
934 |
"eval_Claim": {
|
935 |
-
"f1-score": 0.
|
936 |
-
"precision": 0.
|
937 |
-
"recall": 0.
|
938 |
-
"support":
|
939 |
},
|
940 |
"eval_MajorClaim": {
|
941 |
-
"f1-score": 0.
|
942 |
-
"precision": 0.
|
943 |
-
"recall": 0.
|
944 |
-
"support":
|
945 |
},
|
946 |
"eval_O": {
|
947 |
-
"f1-score": 0
|
948 |
"precision": 1.0,
|
949 |
-
"recall": 0
|
950 |
-
"support":
|
951 |
},
|
952 |
"eval_Premise": {
|
953 |
-
"f1-score": 0.
|
954 |
-
"precision": 0.
|
955 |
-
"recall": 0.
|
956 |
-
"support":
|
957 |
},
|
958 |
-
"eval_accuracy": 0.
|
959 |
-
"eval_loss": 0.
|
960 |
"eval_macro avg": {
|
961 |
-
"f1-score": 0.
|
962 |
-
"precision": 0.
|
963 |
-
"recall": 0.
|
964 |
-
"support":
|
965 |
-
},
|
966 |
-
"eval_runtime": 4.
|
967 |
-
"eval_samples_per_second": 16.
|
968 |
-
"eval_steps_per_second": 2.
|
969 |
"eval_weighted avg": {
|
970 |
-
"f1-score": 0.
|
971 |
-
"precision": 0.
|
972 |
-
"recall": 0.
|
973 |
-
"support":
|
974 |
},
|
975 |
"step": 1701
|
976 |
},
|
977 |
{
|
978 |
"epoch": 22.0,
|
979 |
"eval_Claim": {
|
980 |
-
"f1-score": 0.
|
981 |
-
"precision": 0.
|
982 |
-
"recall": 0.
|
983 |
-
"support":
|
984 |
},
|
985 |
"eval_MajorClaim": {
|
986 |
-
"f1-score": 0.
|
987 |
-
"precision": 0.
|
988 |
-
"recall": 0.
|
989 |
-
"support":
|
990 |
},
|
991 |
"eval_O": {
|
992 |
-
"f1-score": 0.
|
993 |
-
"precision": 0.
|
994 |
-
"recall": 0
|
995 |
-
"support":
|
996 |
},
|
997 |
"eval_Premise": {
|
998 |
-
"f1-score": 0.
|
999 |
-
"precision": 0.
|
1000 |
-
"recall": 0.
|
1001 |
-
"support":
|
1002 |
},
|
1003 |
-
"eval_accuracy": 0.
|
1004 |
-
"eval_loss": 0.
|
1005 |
"eval_macro avg": {
|
1006 |
-
"f1-score": 0.
|
1007 |
-
"precision": 0.
|
1008 |
-
"recall": 0.
|
1009 |
-
"support":
|
1010 |
-
},
|
1011 |
-
"eval_runtime": 4.
|
1012 |
-
"eval_samples_per_second": 16.
|
1013 |
-
"eval_steps_per_second": 2.
|
1014 |
"eval_weighted avg": {
|
1015 |
-
"f1-score": 0.
|
1016 |
-
"precision": 0.
|
1017 |
-
"recall": 0.
|
1018 |
-
"support":
|
1019 |
},
|
1020 |
"step": 1782
|
1021 |
},
|
1022 |
{
|
1023 |
"epoch": 23.0,
|
1024 |
"eval_Claim": {
|
1025 |
-
"f1-score": 0.
|
1026 |
-
"precision": 0.
|
1027 |
-
"recall": 0.
|
1028 |
-
"support":
|
1029 |
},
|
1030 |
"eval_MajorClaim": {
|
1031 |
-
"f1-score": 0.
|
1032 |
-
"precision": 0.
|
1033 |
-
"recall": 0.
|
1034 |
-
"support":
|
1035 |
},
|
1036 |
"eval_O": {
|
1037 |
-
"f1-score": 0
|
1038 |
"precision": 1.0,
|
1039 |
-
"recall": 0
|
1040 |
-
"support":
|
1041 |
},
|
1042 |
"eval_Premise": {
|
1043 |
-
"f1-score": 0.
|
1044 |
-
"precision": 0.
|
1045 |
-
"recall": 0.
|
1046 |
-
"support":
|
1047 |
},
|
1048 |
-
"eval_accuracy": 0.
|
1049 |
-
"eval_loss": 0.
|
1050 |
"eval_macro avg": {
|
1051 |
-
"f1-score": 0.
|
1052 |
-
"precision": 0.
|
1053 |
-
"recall": 0.
|
1054 |
-
"support":
|
1055 |
-
},
|
1056 |
-
"eval_runtime": 4.
|
1057 |
-
"eval_samples_per_second": 16.
|
1058 |
-
"eval_steps_per_second": 2.
|
1059 |
"eval_weighted avg": {
|
1060 |
-
"f1-score": 0.
|
1061 |
-
"precision": 0.
|
1062 |
-
"recall": 0.
|
1063 |
-
"support":
|
1064 |
},
|
1065 |
"step": 1863
|
1066 |
},
|
1067 |
{
|
1068 |
"epoch": 24.0,
|
1069 |
"eval_Claim": {
|
1070 |
-
"f1-score": 0.
|
1071 |
-
"precision": 0.
|
1072 |
-
"recall": 0.
|
1073 |
-
"support":
|
1074 |
},
|
1075 |
"eval_MajorClaim": {
|
1076 |
-
"f1-score": 0.
|
1077 |
-
"precision": 0.
|
1078 |
-
"recall": 0.
|
1079 |
-
"support":
|
1080 |
},
|
1081 |
"eval_O": {
|
1082 |
-
"f1-score": 0
|
1083 |
"precision": 1.0,
|
1084 |
-
"recall": 0
|
1085 |
-
"support":
|
1086 |
},
|
1087 |
"eval_Premise": {
|
1088 |
-
"f1-score": 0.
|
1089 |
-
"precision": 0.
|
1090 |
-
"recall": 0.
|
1091 |
-
"support":
|
1092 |
},
|
1093 |
-
"eval_accuracy": 0.
|
1094 |
-
"eval_loss": 0.
|
1095 |
"eval_macro avg": {
|
1096 |
-
"f1-score": 0.
|
1097 |
-
"precision": 0.
|
1098 |
-
"recall": 0.
|
1099 |
-
"support":
|
1100 |
-
},
|
1101 |
-
"eval_runtime": 4.
|
1102 |
-
"eval_samples_per_second": 16.
|
1103 |
-
"eval_steps_per_second": 2.
|
1104 |
"eval_weighted avg": {
|
1105 |
-
"f1-score": 0.
|
1106 |
-
"precision": 0.
|
1107 |
-
"recall": 0.
|
1108 |
-
"support":
|
1109 |
},
|
1110 |
"step": 1944
|
1111 |
},
|
1112 |
{
|
1113 |
"epoch": 24.69,
|
1114 |
-
"grad_norm": 0.
|
1115 |
"learning_rate": 1.0123456790123458e-05,
|
1116 |
-
"loss": 0.
|
1117 |
"step": 2000
|
1118 |
},
|
1119 |
{
|
1120 |
"epoch": 25.0,
|
1121 |
"eval_Claim": {
|
1122 |
-
"f1-score": 0.
|
1123 |
-
"precision": 0.
|
1124 |
-
"recall": 0.
|
1125 |
-
"support":
|
1126 |
},
|
1127 |
"eval_MajorClaim": {
|
1128 |
-
"f1-score": 0.
|
1129 |
-
"precision": 0.
|
1130 |
-
"recall": 0.
|
1131 |
-
"support":
|
1132 |
},
|
1133 |
"eval_O": {
|
1134 |
-
"f1-score": 0
|
1135 |
-
"precision": 0
|
1136 |
-
"recall": 0
|
1137 |
-
"support":
|
1138 |
},
|
1139 |
"eval_Premise": {
|
1140 |
-
"f1-score": 0.
|
1141 |
-
"precision": 0.
|
1142 |
-
"recall": 0.
|
1143 |
-
"support":
|
1144 |
},
|
1145 |
-
"eval_accuracy": 0.
|
1146 |
-
"eval_loss": 0.
|
1147 |
"eval_macro avg": {
|
1148 |
-
"f1-score": 0.
|
1149 |
-
"precision": 0.
|
1150 |
-
"recall": 0.
|
1151 |
-
"support":
|
1152 |
-
},
|
1153 |
-
"eval_runtime": 4.
|
1154 |
-
"eval_samples_per_second": 16.
|
1155 |
-
"eval_steps_per_second": 2.
|
1156 |
"eval_weighted avg": {
|
1157 |
-
"f1-score": 0.
|
1158 |
-
"precision": 0.
|
1159 |
-
"recall": 0.
|
1160 |
-
"support":
|
1161 |
},
|
1162 |
"step": 2025
|
1163 |
},
|
1164 |
{
|
1165 |
"epoch": 26.0,
|
1166 |
"eval_Claim": {
|
1167 |
-
"f1-score": 0.
|
1168 |
-
"precision": 0.
|
1169 |
-
"recall": 0.
|
1170 |
-
"support":
|
1171 |
},
|
1172 |
"eval_MajorClaim": {
|
1173 |
-
"f1-score": 0.
|
1174 |
-
"precision": 0.
|
1175 |
-
"recall": 0.
|
1176 |
-
"support":
|
1177 |
},
|
1178 |
"eval_O": {
|
1179 |
-
"f1-score": 0.
|
1180 |
-
"precision":
|
1181 |
-
"recall": 0
|
1182 |
-
"support":
|
1183 |
},
|
1184 |
"eval_Premise": {
|
1185 |
-
"f1-score": 0.
|
1186 |
-
"precision": 0.
|
1187 |
-
"recall": 0.
|
1188 |
-
"support":
|
1189 |
},
|
1190 |
-
"eval_accuracy": 0.
|
1191 |
-
"eval_loss": 0.
|
1192 |
"eval_macro avg": {
|
1193 |
-
"f1-score": 0.
|
1194 |
-
"precision": 0.
|
1195 |
-
"recall": 0.
|
1196 |
-
"support":
|
1197 |
-
},
|
1198 |
-
"eval_runtime": 4.
|
1199 |
-
"eval_samples_per_second": 16.
|
1200 |
-
"eval_steps_per_second": 2.
|
1201 |
"eval_weighted avg": {
|
1202 |
-
"f1-score": 0.
|
1203 |
-
"precision": 0.
|
1204 |
-
"recall": 0.
|
1205 |
-
"support":
|
1206 |
},
|
1207 |
"step": 2106
|
1208 |
},
|
1209 |
{
|
1210 |
"epoch": 27.0,
|
1211 |
"eval_Claim": {
|
1212 |
-
"f1-score": 0.
|
1213 |
-
"precision": 0.
|
1214 |
-
"recall": 0.
|
1215 |
-
"support":
|
1216 |
},
|
1217 |
"eval_MajorClaim": {
|
1218 |
-
"f1-score": 0.
|
1219 |
-
"precision": 0.
|
1220 |
-
"recall": 0.
|
1221 |
-
"support":
|
1222 |
},
|
1223 |
"eval_O": {
|
1224 |
-
"f1-score": 0
|
1225 |
"precision": 1.0,
|
1226 |
-
"recall": 0
|
1227 |
-
"support":
|
1228 |
},
|
1229 |
"eval_Premise": {
|
1230 |
-
"f1-score": 0.
|
1231 |
-
"precision": 0.
|
1232 |
-
"recall": 0.
|
1233 |
-
"support":
|
1234 |
},
|
1235 |
-
"eval_accuracy": 0.
|
1236 |
-
"eval_loss": 0.
|
1237 |
"eval_macro avg": {
|
1238 |
-
"f1-score": 0.
|
1239 |
-
"precision": 0.
|
1240 |
-
"recall": 0.
|
1241 |
-
"support":
|
1242 |
-
},
|
1243 |
-
"eval_runtime": 4.
|
1244 |
-
"eval_samples_per_second": 16.
|
1245 |
-
"eval_steps_per_second": 2.
|
1246 |
"eval_weighted avg": {
|
1247 |
-
"f1-score": 0.
|
1248 |
-
"precision": 0.
|
1249 |
-
"recall": 0.
|
1250 |
-
"support":
|
1251 |
},
|
1252 |
"step": 2187
|
1253 |
},
|
1254 |
{
|
1255 |
"epoch": 28.0,
|
1256 |
"eval_Claim": {
|
1257 |
-
"f1-score": 0.
|
1258 |
-
"precision": 0.
|
1259 |
-
"recall": 0.
|
1260 |
-
"support":
|
1261 |
},
|
1262 |
"eval_MajorClaim": {
|
1263 |
-
"f1-score": 0.
|
1264 |
-
"precision": 0.
|
1265 |
-
"recall": 0.
|
1266 |
-
"support":
|
1267 |
},
|
1268 |
"eval_O": {
|
1269 |
-
"f1-score": 0
|
1270 |
-
"precision": 0
|
1271 |
-
"recall": 0
|
1272 |
-
"support":
|
1273 |
},
|
1274 |
"eval_Premise": {
|
1275 |
-
"f1-score": 0.
|
1276 |
-
"precision": 0.
|
1277 |
-
"recall": 0.
|
1278 |
-
"support":
|
1279 |
},
|
1280 |
-
"eval_accuracy": 0.
|
1281 |
-
"eval_loss": 0.
|
1282 |
"eval_macro avg": {
|
1283 |
-
"f1-score": 0.
|
1284 |
-
"precision": 0.
|
1285 |
-
"recall": 0.
|
1286 |
-
"support":
|
1287 |
-
},
|
1288 |
-
"eval_runtime": 4.
|
1289 |
-
"eval_samples_per_second": 16.
|
1290 |
-
"eval_steps_per_second": 2.
|
1291 |
"eval_weighted avg": {
|
1292 |
-
"f1-score": 0.
|
1293 |
-
"precision": 0.
|
1294 |
-
"recall": 0.
|
1295 |
-
"support":
|
1296 |
},
|
1297 |
"step": 2268
|
1298 |
},
|
1299 |
{
|
1300 |
"epoch": 29.0,
|
1301 |
"eval_Claim": {
|
1302 |
-
"f1-score": 0.
|
1303 |
-
"precision": 0.
|
1304 |
-
"recall": 0.
|
1305 |
-
"support":
|
1306 |
},
|
1307 |
"eval_MajorClaim": {
|
1308 |
-
"f1-score": 0.
|
1309 |
-
"precision": 0.
|
1310 |
-
"recall": 0.
|
1311 |
-
"support":
|
1312 |
},
|
1313 |
"eval_O": {
|
1314 |
-
"f1-score": 0.
|
1315 |
-
"precision": 0.
|
1316 |
-
"recall": 0
|
1317 |
-
"support":
|
1318 |
},
|
1319 |
"eval_Premise": {
|
1320 |
-
"f1-score": 0.
|
1321 |
-
"precision": 0.
|
1322 |
-
"recall": 0.
|
1323 |
-
"support":
|
1324 |
},
|
1325 |
-
"eval_accuracy": 0.
|
1326 |
-
"eval_loss": 0.
|
1327 |
"eval_macro avg": {
|
1328 |
-
"f1-score": 0.
|
1329 |
-
"precision": 0.
|
1330 |
-
"recall": 0.
|
1331 |
-
"support":
|
1332 |
-
},
|
1333 |
-
"eval_runtime": 4.
|
1334 |
-
"eval_samples_per_second": 16.
|
1335 |
-
"eval_steps_per_second": 2.
|
1336 |
"eval_weighted avg": {
|
1337 |
-
"f1-score": 0.
|
1338 |
-
"precision": 0.
|
1339 |
-
"recall": 0.
|
1340 |
-
"support":
|
1341 |
},
|
1342 |
"step": 2349
|
1343 |
},
|
1344 |
{
|
1345 |
"epoch": 30.0,
|
1346 |
"eval_Claim": {
|
1347 |
-
"f1-score": 0.
|
1348 |
-
"precision": 0.
|
1349 |
-
"recall": 0.
|
1350 |
-
"support":
|
1351 |
},
|
1352 |
"eval_MajorClaim": {
|
1353 |
-
"f1-score": 0.
|
1354 |
-
"precision": 0.
|
1355 |
-
"recall": 0.
|
1356 |
-
"support":
|
1357 |
},
|
1358 |
"eval_O": {
|
1359 |
-
"f1-score": 0
|
1360 |
-
"precision": 0
|
1361 |
-
"recall": 0
|
1362 |
-
"support":
|
1363 |
},
|
1364 |
"eval_Premise": {
|
1365 |
-
"f1-score": 0.
|
1366 |
-
"precision": 0.
|
1367 |
-
"recall": 0.
|
1368 |
-
"support":
|
1369 |
},
|
1370 |
-
"eval_accuracy": 0.
|
1371 |
-
"eval_loss": 0.
|
1372 |
"eval_macro avg": {
|
1373 |
-
"f1-score": 0.
|
1374 |
-
"precision": 0.
|
1375 |
-
"recall": 0.
|
1376 |
-
"support":
|
1377 |
-
},
|
1378 |
-
"eval_runtime": 4.
|
1379 |
-
"eval_samples_per_second": 16.
|
1380 |
-
"eval_steps_per_second": 2.
|
1381 |
"eval_weighted avg": {
|
1382 |
-
"f1-score": 0.
|
1383 |
-
"precision": 0.
|
1384 |
-
"recall": 0.
|
1385 |
-
"support":
|
1386 |
},
|
1387 |
"step": 2430
|
1388 |
},
|
1389 |
{
|
1390 |
"epoch": 30.86,
|
1391 |
-
"grad_norm": 0.
|
1392 |
"learning_rate": 7.654320987654322e-06,
|
1393 |
-
"loss": 0.
|
1394 |
"step": 2500
|
1395 |
},
|
1396 |
{
|
1397 |
"epoch": 31.0,
|
1398 |
"eval_Claim": {
|
1399 |
-
"f1-score": 0.
|
1400 |
-
"precision": 0.
|
1401 |
-
"recall": 0.
|
1402 |
-
"support":
|
1403 |
},
|
1404 |
"eval_MajorClaim": {
|
1405 |
-
"f1-score": 0.
|
1406 |
-
"precision": 0.
|
1407 |
-
"recall": 0.
|
1408 |
-
"support":
|
1409 |
},
|
1410 |
"eval_O": {
|
1411 |
-
"f1-score": 0
|
1412 |
-
"precision": 0
|
1413 |
-
"recall": 0
|
1414 |
-
"support":
|
1415 |
},
|
1416 |
"eval_Premise": {
|
1417 |
-
"f1-score": 0.
|
1418 |
-
"precision": 0.
|
1419 |
-
"recall": 0.
|
1420 |
-
"support":
|
1421 |
},
|
1422 |
-
"eval_accuracy": 0.
|
1423 |
-
"eval_loss": 0.
|
1424 |
"eval_macro avg": {
|
1425 |
-
"f1-score": 0.
|
1426 |
-
"precision": 0.
|
1427 |
-
"recall": 0.
|
1428 |
-
"support":
|
1429 |
-
},
|
1430 |
-
"eval_runtime": 4.
|
1431 |
-
"eval_samples_per_second": 16.
|
1432 |
-
"eval_steps_per_second": 2.
|
1433 |
"eval_weighted avg": {
|
1434 |
-
"f1-score": 0.
|
1435 |
-
"precision": 0.
|
1436 |
-
"recall": 0.
|
1437 |
-
"support":
|
1438 |
},
|
1439 |
"step": 2511
|
1440 |
},
|
1441 |
{
|
1442 |
"epoch": 32.0,
|
1443 |
"eval_Claim": {
|
1444 |
-
"f1-score": 0.
|
1445 |
-
"precision": 0.
|
1446 |
-
"recall": 0.
|
1447 |
-
"support":
|
1448 |
},
|
1449 |
"eval_MajorClaim": {
|
1450 |
-
"f1-score": 0.
|
1451 |
-
"precision": 0.
|
1452 |
-
"recall": 0.
|
1453 |
-
"support":
|
1454 |
},
|
1455 |
"eval_O": {
|
1456 |
-
"f1-score": 0
|
1457 |
"precision": 1.0,
|
1458 |
-
"recall": 0
|
1459 |
-
"support":
|
1460 |
},
|
1461 |
"eval_Premise": {
|
1462 |
-
"f1-score": 0.
|
1463 |
-
"precision": 0.
|
1464 |
-
"recall": 0.
|
1465 |
-
"support":
|
1466 |
},
|
1467 |
-
"eval_accuracy": 0.
|
1468 |
-
"eval_loss": 0.
|
1469 |
"eval_macro avg": {
|
1470 |
-
"f1-score": 0.
|
1471 |
-
"precision": 0.
|
1472 |
-
"recall": 0.
|
1473 |
-
"support":
|
1474 |
-
},
|
1475 |
-
"eval_runtime": 4.
|
1476 |
-
"eval_samples_per_second": 16.
|
1477 |
-
"eval_steps_per_second": 2.
|
1478 |
"eval_weighted avg": {
|
1479 |
-
"f1-score": 0.
|
1480 |
-
"precision": 0.
|
1481 |
-
"recall": 0.
|
1482 |
-
"support":
|
1483 |
},
|
1484 |
"step": 2592
|
1485 |
},
|
1486 |
{
|
1487 |
"epoch": 33.0,
|
1488 |
"eval_Claim": {
|
1489 |
-
"f1-score": 0.
|
1490 |
-
"precision": 0.
|
1491 |
-
"recall": 0.
|
1492 |
-
"support":
|
1493 |
},
|
1494 |
"eval_MajorClaim": {
|
1495 |
-
"f1-score": 0.
|
1496 |
-
"precision": 0.
|
1497 |
-
"recall": 0.
|
1498 |
-
"support":
|
1499 |
},
|
1500 |
"eval_O": {
|
1501 |
-
"f1-score": 0
|
1502 |
"precision": 1.0,
|
1503 |
-
"recall": 0
|
1504 |
-
"support":
|
1505 |
},
|
1506 |
"eval_Premise": {
|
1507 |
-
"f1-score": 0.
|
1508 |
-
"precision": 0.
|
1509 |
-
"recall": 0.
|
1510 |
-
"support":
|
1511 |
},
|
1512 |
-
"eval_accuracy": 0.
|
1513 |
-
"eval_loss": 0.
|
1514 |
"eval_macro avg": {
|
1515 |
-
"f1-score": 0.
|
1516 |
-
"precision": 0.
|
1517 |
-
"recall": 0.
|
1518 |
-
"support":
|
1519 |
-
},
|
1520 |
-
"eval_runtime": 4.
|
1521 |
-
"eval_samples_per_second": 16.
|
1522 |
-
"eval_steps_per_second": 2.
|
1523 |
"eval_weighted avg": {
|
1524 |
-
"f1-score": 0.
|
1525 |
-
"precision": 0.
|
1526 |
-
"recall": 0.
|
1527 |
-
"support":
|
1528 |
},
|
1529 |
"step": 2673
|
1530 |
},
|
1531 |
{
|
1532 |
"epoch": 34.0,
|
1533 |
"eval_Claim": {
|
1534 |
-
"f1-score": 0.
|
1535 |
-
"precision": 0.
|
1536 |
-
"recall": 0.
|
1537 |
-
"support":
|
1538 |
},
|
1539 |
"eval_MajorClaim": {
|
1540 |
-
"f1-score": 0.
|
1541 |
-
"precision": 0.
|
1542 |
-
"recall": 0.
|
1543 |
-
"support":
|
1544 |
},
|
1545 |
"eval_O": {
|
1546 |
-
"f1-score": 0
|
1547 |
-
"precision": 0
|
1548 |
-
"recall": 0
|
1549 |
-
"support":
|
1550 |
},
|
1551 |
"eval_Premise": {
|
1552 |
-
"f1-score": 0.
|
1553 |
-
"precision": 0.
|
1554 |
-
"recall": 0.
|
1555 |
-
"support":
|
1556 |
},
|
1557 |
-
"eval_accuracy": 0.
|
1558 |
-
"eval_loss": 0.
|
1559 |
"eval_macro avg": {
|
1560 |
-
"f1-score": 0.
|
1561 |
-
"precision": 0.
|
1562 |
-
"recall": 0.
|
1563 |
-
"support":
|
1564 |
-
},
|
1565 |
-
"eval_runtime": 4.
|
1566 |
-
"eval_samples_per_second": 16.
|
1567 |
-
"eval_steps_per_second": 2.
|
1568 |
"eval_weighted avg": {
|
1569 |
-
"f1-score": 0.
|
1570 |
-
"precision": 0.
|
1571 |
-
"recall": 0.
|
1572 |
-
"support":
|
1573 |
},
|
1574 |
"step": 2754
|
1575 |
},
|
1576 |
{
|
1577 |
"epoch": 35.0,
|
1578 |
"eval_Claim": {
|
1579 |
-
"f1-score": 0.
|
1580 |
-
"precision": 0.
|
1581 |
-
"recall": 0.
|
1582 |
-
"support":
|
1583 |
},
|
1584 |
"eval_MajorClaim": {
|
1585 |
-
"f1-score": 0.
|
1586 |
-
"precision": 0.
|
1587 |
-
"recall": 0.
|
1588 |
-
"support":
|
1589 |
},
|
1590 |
"eval_O": {
|
1591 |
-
"f1-score": 0.
|
1592 |
-
"precision": 0.
|
1593 |
-
"recall": 0
|
1594 |
-
"support":
|
1595 |
},
|
1596 |
"eval_Premise": {
|
1597 |
-
"f1-score": 0.
|
1598 |
-
"precision": 0.
|
1599 |
-
"recall": 0.
|
1600 |
-
"support":
|
1601 |
},
|
1602 |
-
"eval_accuracy": 0.
|
1603 |
-
"eval_loss": 0.
|
1604 |
"eval_macro avg": {
|
1605 |
-
"f1-score": 0.
|
1606 |
-
"precision": 0.
|
1607 |
-
"recall": 0.
|
1608 |
-
"support":
|
1609 |
-
},
|
1610 |
-
"eval_runtime": 4.
|
1611 |
-
"eval_samples_per_second": 16.
|
1612 |
-
"eval_steps_per_second": 2.
|
1613 |
"eval_weighted avg": {
|
1614 |
-
"f1-score": 0.
|
1615 |
-
"precision": 0.
|
1616 |
-
"recall": 0.
|
1617 |
-
"support":
|
1618 |
},
|
1619 |
"step": 2835
|
1620 |
},
|
1621 |
{
|
1622 |
"epoch": 36.0,
|
1623 |
"eval_Claim": {
|
1624 |
-
"f1-score": 0.
|
1625 |
-
"precision": 0.
|
1626 |
-
"recall": 0.
|
1627 |
-
"support":
|
1628 |
},
|
1629 |
"eval_MajorClaim": {
|
1630 |
-
"f1-score": 0.
|
1631 |
-
"precision": 0.
|
1632 |
-
"recall": 0.
|
1633 |
-
"support":
|
1634 |
},
|
1635 |
"eval_O": {
|
1636 |
-
"f1-score": 0
|
1637 |
"precision": 1.0,
|
1638 |
-
"recall": 0
|
1639 |
-
"support":
|
1640 |
},
|
1641 |
"eval_Premise": {
|
1642 |
-
"f1-score": 0.
|
1643 |
-
"precision": 0.
|
1644 |
-
"recall": 0.
|
1645 |
-
"support":
|
1646 |
},
|
1647 |
-
"eval_accuracy": 0.
|
1648 |
-
"eval_loss": 0.
|
1649 |
"eval_macro avg": {
|
1650 |
-
"f1-score": 0.
|
1651 |
-
"precision": 0.
|
1652 |
-
"recall": 0.
|
1653 |
-
"support":
|
1654 |
-
},
|
1655 |
-
"eval_runtime": 4.
|
1656 |
-
"eval_samples_per_second": 16.
|
1657 |
-
"eval_steps_per_second": 2.
|
1658 |
"eval_weighted avg": {
|
1659 |
-
"f1-score": 0.
|
1660 |
-
"precision": 0.
|
1661 |
-
"recall": 0.
|
1662 |
-
"support":
|
1663 |
},
|
1664 |
"step": 2916
|
1665 |
},
|
1666 |
{
|
1667 |
"epoch": 37.0,
|
1668 |
"eval_Claim": {
|
1669 |
-
"f1-score": 0.
|
1670 |
-
"precision": 0.
|
1671 |
-
"recall": 0.
|
1672 |
-
"support":
|
1673 |
},
|
1674 |
"eval_MajorClaim": {
|
1675 |
-
"f1-score": 0.
|
1676 |
-
"precision": 0.
|
1677 |
-
"recall": 0.
|
1678 |
-
"support":
|
1679 |
},
|
1680 |
"eval_O": {
|
1681 |
-
"f1-score": 0
|
1682 |
"precision": 1.0,
|
1683 |
-
"recall": 0
|
1684 |
-
"support":
|
1685 |
},
|
1686 |
"eval_Premise": {
|
1687 |
-
"f1-score": 0.
|
1688 |
-
"precision": 0.
|
1689 |
-
"recall": 0.
|
1690 |
-
"support":
|
1691 |
},
|
1692 |
-
"eval_accuracy": 0.
|
1693 |
-
"eval_loss": 0.
|
1694 |
"eval_macro avg": {
|
1695 |
-
"f1-score": 0.
|
1696 |
-
"precision": 0.
|
1697 |
-
"recall": 0.
|
1698 |
-
"support":
|
1699 |
-
},
|
1700 |
-
"eval_runtime": 4.
|
1701 |
-
"eval_samples_per_second": 16.
|
1702 |
-
"eval_steps_per_second": 2.
|
1703 |
"eval_weighted avg": {
|
1704 |
-
"f1-score": 0.
|
1705 |
-
"precision": 0.
|
1706 |
-
"recall": 0.
|
1707 |
-
"support":
|
1708 |
},
|
1709 |
"step": 2997
|
1710 |
},
|
1711 |
{
|
1712 |
"epoch": 37.04,
|
1713 |
-
"grad_norm":
|
1714 |
"learning_rate": 5.185185185185185e-06,
|
1715 |
-
"loss": 0.
|
1716 |
"step": 3000
|
1717 |
},
|
1718 |
{
|
1719 |
"epoch": 38.0,
|
1720 |
"eval_Claim": {
|
1721 |
-
"f1-score": 0.
|
1722 |
-
"precision": 0.
|
1723 |
-
"recall": 0.
|
1724 |
-
"support":
|
1725 |
},
|
1726 |
"eval_MajorClaim": {
|
1727 |
-
"f1-score": 0.
|
1728 |
-
"precision": 0.
|
1729 |
-
"recall": 0.
|
1730 |
-
"support":
|
1731 |
},
|
1732 |
"eval_O": {
|
1733 |
-
"f1-score": 0
|
1734 |
-
"precision": 0
|
1735 |
-
"recall": 0
|
1736 |
-
"support":
|
1737 |
},
|
1738 |
"eval_Premise": {
|
1739 |
-
"f1-score": 0.
|
1740 |
-
"precision": 0.
|
1741 |
-
"recall": 0.
|
1742 |
-
"support":
|
1743 |
},
|
1744 |
-
"eval_accuracy": 0.
|
1745 |
-
"eval_loss": 0.
|
1746 |
"eval_macro avg": {
|
1747 |
-
"f1-score": 0.
|
1748 |
-
"precision": 0.
|
1749 |
-
"recall": 0.
|
1750 |
-
"support":
|
1751 |
-
},
|
1752 |
-
"eval_runtime": 4.
|
1753 |
-
"eval_samples_per_second": 16.
|
1754 |
-
"eval_steps_per_second": 2.
|
1755 |
"eval_weighted avg": {
|
1756 |
-
"f1-score": 0.
|
1757 |
-
"precision": 0.
|
1758 |
-
"recall": 0.
|
1759 |
-
"support":
|
1760 |
},
|
1761 |
"step": 3078
|
1762 |
}
|
@@ -1766,7 +1766,7 @@
|
|
1766 |
"num_input_tokens_seen": 0,
|
1767 |
"num_train_epochs": 50,
|
1768 |
"save_steps": 500,
|
1769 |
-
"total_flos":
|
1770 |
"train_batch_size": 4,
|
1771 |
"trial_name": null,
|
1772 |
"trial_params": null
|
|
|
11 |
{
|
12 |
"epoch": 1.0,
|
13 |
"eval_Claim": {
|
14 |
+
"f1-score": 0.5254768748366867,
|
15 |
+
"precision": 0.5768789443488239,
|
16 |
+
"recall": 0.4824856046065259,
|
17 |
+
"support": 4168.0
|
18 |
},
|
19 |
"eval_MajorClaim": {
|
20 |
+
"f1-score": 0.7984361424847959,
|
21 |
+
"precision": 0.7495921696574225,
|
22 |
+
"recall": 0.854089219330855,
|
23 |
+
"support": 2152.0
|
24 |
},
|
25 |
"eval_O": {
|
26 |
+
"f1-score": 0.9990277532260916,
|
27 |
+
"precision": 0.9988511841640155,
|
28 |
+
"recall": 0.9992043847241867,
|
29 |
+
"support": 11312.0
|
30 |
},
|
31 |
"eval_Premise": {
|
32 |
+
"f1-score": 0.8854183656825966,
|
33 |
+
"precision": 0.8719781543651113,
|
34 |
+
"recall": 0.8992793837488611,
|
35 |
+
"support": 12073.0
|
36 |
},
|
37 |
+
"eval_accuracy": 0.8755765022723447,
|
38 |
+
"eval_loss": 0.28303390741348267,
|
39 |
"eval_macro avg": {
|
40 |
+
"f1-score": 0.8020897840575427,
|
41 |
+
"precision": 0.7993251131338432,
|
42 |
+
"recall": 0.8087646481026072,
|
43 |
+
"support": 29705.0
|
44 |
+
},
|
45 |
+
"eval_runtime": 4.8106,
|
46 |
+
"eval_samples_per_second": 16.63,
|
47 |
+
"eval_steps_per_second": 2.079,
|
48 |
"eval_weighted avg": {
|
49 |
+
"f1-score": 0.8718761173649596,
|
50 |
+
"precision": 0.8700202202343714,
|
51 |
+
"recall": 0.8755765022723447,
|
52 |
+
"support": 29705.0
|
53 |
},
|
54 |
"step": 81
|
55 |
},
|
56 |
{
|
57 |
"epoch": 2.0,
|
58 |
"eval_Claim": {
|
59 |
+
"f1-score": 0.5578782336033447,
|
60 |
+
"precision": 0.6124497991967871,
|
61 |
+
"recall": 0.5122360844529751,
|
62 |
+
"support": 4168.0
|
63 |
},
|
64 |
"eval_MajorClaim": {
|
65 |
+
"f1-score": 0.784421283598464,
|
66 |
+
"precision": 0.9571619812583668,
|
67 |
+
"recall": 0.6644981412639405,
|
68 |
+
"support": 2152.0
|
69 |
},
|
70 |
"eval_O": {
|
71 |
+
"f1-score": 0.9998674150351351,
|
72 |
+
"precision": 0.9997348652231551,
|
73 |
+
"recall": 1.0,
|
74 |
+
"support": 11312.0
|
75 |
},
|
76 |
"eval_Premise": {
|
77 |
+
"f1-score": 0.8977749872463995,
|
78 |
+
"precision": 0.8530201342281879,
|
79 |
+
"recall": 0.9474861260664292,
|
80 |
+
"support": 12073.0
|
81 |
},
|
82 |
+
"eval_accuracy": 0.8859114627167144,
|
83 |
+
"eval_loss": 0.27363118529319763,
|
84 |
"eval_macro avg": {
|
85 |
+
"f1-score": 0.8099854798708358,
|
86 |
+
"precision": 0.8555916949766242,
|
87 |
+
"recall": 0.7810550879458362,
|
88 |
+
"support": 29705.0
|
89 |
+
},
|
90 |
+
"eval_runtime": 4.7727,
|
91 |
+
"eval_samples_per_second": 16.762,
|
92 |
+
"eval_steps_per_second": 2.095,
|
93 |
"eval_weighted avg": {
|
94 |
+
"f1-score": 0.8807489883812781,
|
95 |
+
"precision": 0.8826802296805741,
|
96 |
+
"recall": 0.8859114627167144,
|
97 |
+
"support": 29705.0
|
98 |
},
|
99 |
"step": 162
|
100 |
},
|
101 |
{
|
102 |
"epoch": 3.0,
|
103 |
"eval_Claim": {
|
104 |
+
"f1-score": 0.64760736196319,
|
105 |
+
"precision": 0.6627322953289804,
|
106 |
+
"recall": 0.6331573896353166,
|
107 |
+
"support": 4168.0
|
108 |
},
|
109 |
"eval_MajorClaim": {
|
110 |
+
"f1-score": 0.9016018306636155,
|
111 |
+
"precision": 0.8881875563570785,
|
112 |
+
"recall": 0.9154275092936803,
|
113 |
+
"support": 2152.0
|
114 |
},
|
115 |
"eval_O": {
|
116 |
+
"f1-score": 0.9996904982977407,
|
117 |
+
"precision": 1.0,
|
118 |
+
"recall": 0.9993811881188119,
|
119 |
+
"support": 11312.0
|
120 |
},
|
121 |
"eval_Premise": {
|
122 |
+
"f1-score": 0.8982820417748115,
|
123 |
+
"precision": 0.8936065573770492,
|
124 |
+
"recall": 0.9030067091857865,
|
125 |
+
"support": 12073.0
|
126 |
},
|
127 |
+
"eval_accuracy": 0.9027436458508669,
|
128 |
+
"eval_loss": 0.22585685551166534,
|
129 |
"eval_macro avg": {
|
130 |
+
"f1-score": 0.8617954331748394,
|
131 |
+
"precision": 0.861131602265777,
|
132 |
+
"recall": 0.8627431990583988,
|
133 |
+
"support": 29705.0
|
134 |
+
},
|
135 |
+
"eval_runtime": 4.8003,
|
136 |
+
"eval_samples_per_second": 16.666,
|
137 |
+
"eval_steps_per_second": 2.083,
|
138 |
"eval_weighted avg": {
|
139 |
+
"f1-score": 0.9019670975035187,
|
140 |
+
"precision": 0.9013351218793044,
|
141 |
+
"recall": 0.9027436458508669,
|
142 |
+
"support": 29705.0
|
143 |
},
|
144 |
"step": 243
|
145 |
},
|
146 |
{
|
147 |
"epoch": 4.0,
|
148 |
"eval_Claim": {
|
149 |
+
"f1-score": 0.6477602966229081,
|
150 |
+
"precision": 0.5561865427637239,
|
151 |
+
"recall": 0.7754318618042226,
|
152 |
+
"support": 4168.0
|
153 |
},
|
154 |
"eval_MajorClaim": {
|
155 |
+
"f1-score": 0.8984409799554566,
|
156 |
+
"precision": 0.8627031650983746,
|
157 |
+
"recall": 0.9372676579925651,
|
158 |
+
"support": 2152.0
|
159 |
},
|
160 |
"eval_O": {
|
161 |
+
"f1-score": 1.0,
|
162 |
+
"precision": 1.0,
|
163 |
+
"recall": 1.0,
|
164 |
+
"support": 11312.0
|
165 |
},
|
166 |
"eval_Premise": {
|
167 |
+
"f1-score": 0.861495720750997,
|
168 |
+
"precision": 0.9384029675907849,
|
169 |
+
"recall": 0.7962395427814131,
|
170 |
+
"support": 12073.0
|
171 |
},
|
172 |
+
"eval_accuracy": 0.8811311227066151,
|
173 |
+
"eval_loss": 0.32341843843460083,
|
174 |
"eval_macro avg": {
|
175 |
+
"f1-score": 0.8519242493323405,
|
176 |
+
"precision": 0.8393231688632209,
|
177 |
+
"recall": 0.8772347656445502,
|
178 |
+
"support": 29705.0
|
179 |
+
},
|
180 |
+
"eval_runtime": 4.7708,
|
181 |
+
"eval_samples_per_second": 16.769,
|
182 |
+
"eval_steps_per_second": 2.096,
|
183 |
"eval_weighted avg": {
|
184 |
+
"f1-score": 0.8869263673393438,
|
185 |
+
"precision": 0.9027457246003854,
|
186 |
+
"recall": 0.8811311227066151,
|
187 |
+
"support": 29705.0
|
188 |
},
|
189 |
"step": 324
|
190 |
},
|
191 |
{
|
192 |
"epoch": 5.0,
|
193 |
"eval_Claim": {
|
194 |
+
"f1-score": 0.6188788236838649,
|
195 |
+
"precision": 0.6833864888373442,
|
196 |
+
"recall": 0.5654990403071017,
|
197 |
+
"support": 4168.0
|
198 |
},
|
199 |
"eval_MajorClaim": {
|
200 |
+
"f1-score": 0.909733679000707,
|
201 |
+
"precision": 0.9230033476805356,
|
202 |
+
"recall": 0.8968401486988847,
|
203 |
+
"support": 2152.0
|
204 |
},
|
205 |
"eval_O": {
|
206 |
+
"f1-score": 0.9999558011049724,
|
207 |
+
"precision": 0.9999116061168567,
|
208 |
+
"recall": 1.0,
|
209 |
+
"support": 11312.0
|
210 |
},
|
211 |
"eval_Premise": {
|
212 |
+
"f1-score": 0.8978936810431294,
|
213 |
+
"precision": 0.8706816059757236,
|
214 |
+
"recall": 0.9268615919821088,
|
215 |
+
"support": 12073.0
|
216 |
},
|
217 |
+
"eval_accuracy": 0.9018347079616226,
|
218 |
+
"eval_loss": 0.3072384297847748,
|
219 |
"eval_macro avg": {
|
220 |
+
"f1-score": 0.8566154962081685,
|
221 |
+
"precision": 0.8692457621526151,
|
222 |
+
"recall": 0.8473001952470238,
|
223 |
+
"support": 29705.0
|
224 |
+
},
|
225 |
+
"eval_runtime": 4.7922,
|
226 |
+
"eval_samples_per_second": 16.694,
|
227 |
+
"eval_steps_per_second": 2.087,
|
228 |
"eval_weighted avg": {
|
229 |
+
"f1-score": 0.8984684143294738,
|
230 |
+
"precision": 0.8974043833368577,
|
231 |
+
"recall": 0.9018347079616226,
|
232 |
+
"support": 29705.0
|
233 |
},
|
234 |
"step": 405
|
235 |
},
|
236 |
{
|
237 |
"epoch": 6.0,
|
238 |
"eval_Claim": {
|
239 |
+
"f1-score": 0.620837537840565,
|
240 |
+
"precision": 0.6545212765957447,
|
241 |
+
"recall": 0.5904510556621881,
|
242 |
+
"support": 4168.0
|
243 |
},
|
244 |
"eval_MajorClaim": {
|
245 |
+
"f1-score": 0.8993613741466637,
|
246 |
+
"precision": 0.8547509418166597,
|
247 |
+
"recall": 0.9488847583643123,
|
248 |
+
"support": 2152.0
|
249 |
},
|
250 |
"eval_O": {
|
251 |
+
"f1-score": 0.9999558011049724,
|
252 |
+
"precision": 0.9999116061168567,
|
253 |
+
"recall": 1.0,
|
254 |
+
"support": 11312.0
|
255 |
},
|
256 |
"eval_Premise": {
|
257 |
+
"f1-score": 0.8931567692054615,
|
258 |
+
"precision": 0.8869558114841134,
|
259 |
+
"recall": 0.8994450426571688,
|
260 |
+
"support": 12073.0
|
261 |
},
|
262 |
+
"eval_accuracy": 0.8979633058407676,
|
263 |
+
"eval_loss": 0.3634909987449646,
|
264 |
"eval_macro avg": {
|
265 |
+
"f1-score": 0.8533278705744156,
|
266 |
+
"precision": 0.8490349090033436,
|
267 |
+
"recall": 0.8596952141709173,
|
268 |
+
"support": 29705.0
|
269 |
+
},
|
270 |
+
"eval_runtime": 4.7765,
|
271 |
+
"eval_samples_per_second": 16.749,
|
272 |
+
"eval_steps_per_second": 2.094,
|
273 |
"eval_weighted avg": {
|
274 |
+
"f1-score": 0.8960665959131486,
|
275 |
+
"precision": 0.8950239457358053,
|
276 |
+
"recall": 0.8979633058407676,
|
277 |
+
"support": 29705.0
|
278 |
},
|
279 |
"step": 486
|
280 |
},
|
281 |
{
|
282 |
"epoch": 6.17,
|
283 |
+
"grad_norm": 9.48759651184082,
|
284 |
"learning_rate": 1.7530864197530865e-05,
|
285 |
+
"loss": 0.214,
|
286 |
"step": 500
|
287 |
},
|
288 |
{
|
289 |
"epoch": 7.0,
|
290 |
"eval_Claim": {
|
291 |
+
"f1-score": 0.6812872467222885,
|
292 |
+
"precision": 0.6769303647560397,
|
293 |
+
"recall": 0.685700575815739,
|
294 |
+
"support": 4168.0
|
295 |
},
|
296 |
"eval_MajorClaim": {
|
297 |
+
"f1-score": 0.9276377217553688,
|
298 |
+
"precision": 0.9319887429643527,
|
299 |
+
"recall": 0.9233271375464684,
|
300 |
+
"support": 2152.0
|
301 |
},
|
302 |
"eval_O": {
|
303 |
+
"f1-score": 0.9999115983026874,
|
304 |
+
"precision": 0.9999115983026874,
|
305 |
+
"recall": 0.9999115983026874,
|
306 |
+
"support": 11312.0
|
307 |
},
|
308 |
"eval_Premise": {
|
309 |
+
"f1-score": 0.9017086927670869,
|
310 |
+
"precision": 0.9029819752471135,
|
311 |
+
"recall": 0.9004389961070156,
|
312 |
+
"support": 12073.0
|
313 |
},
|
314 |
+
"eval_accuracy": 0.9098468271334792,
|
315 |
+
"eval_loss": 0.3468942642211914,
|
316 |
"eval_macro avg": {
|
317 |
+
"f1-score": 0.8776363148868579,
|
318 |
+
"precision": 0.8779531703175483,
|
319 |
+
"recall": 0.8773445769429775,
|
320 |
+
"support": 29705.0
|
321 |
+
},
|
322 |
+
"eval_runtime": 4.7913,
|
323 |
+
"eval_samples_per_second": 16.697,
|
324 |
+
"eval_steps_per_second": 2.087,
|
325 |
"eval_weighted avg": {
|
326 |
+
"f1-score": 0.9100559053806798,
|
327 |
+
"precision": 0.910277290769933,
|
328 |
+
"recall": 0.9098468271334792,
|
329 |
+
"support": 29705.0
|
330 |
},
|
331 |
"step": 567
|
332 |
},
|
333 |
{
|
334 |
"epoch": 8.0,
|
335 |
"eval_Claim": {
|
336 |
+
"f1-score": 0.6928905033731187,
|
337 |
+
"precision": 0.6105725260654838,
|
338 |
+
"recall": 0.8008637236084453,
|
339 |
+
"support": 4168.0
|
340 |
},
|
341 |
"eval_MajorClaim": {
|
342 |
+
"f1-score": 0.9302433371958285,
|
343 |
+
"precision": 0.9278779472954231,
|
344 |
+
"recall": 0.9326208178438662,
|
345 |
+
"support": 2152.0
|
346 |
},
|
347 |
"eval_O": {
|
348 |
+
"f1-score": 0.9999115904871364,
|
349 |
+
"precision": 1.0,
|
350 |
+
"recall": 0.9998231966053748,
|
351 |
+
"support": 11312.0
|
352 |
},
|
353 |
"eval_Premise": {
|
354 |
+
"f1-score": 0.8820387074174622,
|
355 |
+
"precision": 0.9356247097073851,
|
356 |
+
"recall": 0.8342582622380519,
|
357 |
+
"support": 12073.0
|
358 |
},
|
359 |
+
"eval_accuracy": 0.8997475172529877,
|
360 |
+
"eval_loss": 0.40174800157546997,
|
361 |
"eval_macro avg": {
|
362 |
+
"f1-score": 0.8762710346183864,
|
363 |
+
"precision": 0.868518795767073,
|
364 |
+
"recall": 0.8918915000739345,
|
365 |
+
"support": 29705.0
|
366 |
+
},
|
367 |
+
"eval_runtime": 4.7722,
|
368 |
+
"eval_samples_per_second": 16.764,
|
369 |
+
"eval_steps_per_second": 2.095,
|
370 |
"eval_weighted avg": {
|
371 |
+
"f1-score": 0.9038782866839282,
|
372 |
+
"precision": 0.9139692560686062,
|
373 |
+
"recall": 0.8997475172529877,
|
374 |
+
"support": 29705.0
|
375 |
},
|
376 |
"step": 648
|
377 |
},
|
378 |
{
|
379 |
"epoch": 9.0,
|
380 |
"eval_Claim": {
|
381 |
+
"f1-score": 0.6602241979126401,
|
382 |
+
"precision": 0.7130531589201224,
|
383 |
+
"recall": 0.6146833013435701,
|
384 |
+
"support": 4168.0
|
385 |
},
|
386 |
"eval_MajorClaim": {
|
387 |
+
"f1-score": 0.9052154195011338,
|
388 |
+
"precision": 0.8839681133746679,
|
389 |
+
"recall": 0.9275092936802974,
|
390 |
+
"support": 2152.0
|
391 |
},
|
392 |
"eval_O": {
|
393 |
+
"f1-score": 0.9999558011049724,
|
394 |
+
"precision": 0.9999116061168567,
|
395 |
+
"recall": 1.0,
|
396 |
+
"support": 11312.0
|
397 |
},
|
398 |
"eval_Premise": {
|
399 |
+
"f1-score": 0.9072885349800925,
|
400 |
+
"precision": 0.8903596204449405,
|
401 |
+
"recall": 0.9248736850824153,
|
402 |
+
"support": 12073.0
|
403 |
},
|
404 |
+
"eval_accuracy": 0.910149806429894,
|
405 |
+
"eval_loss": 0.4713464379310608,
|
406 |
"eval_macro avg": {
|
407 |
+
"f1-score": 0.8681709883747097,
|
408 |
+
"precision": 0.8718231247141469,
|
409 |
+
"recall": 0.8667665700265708,
|
410 |
+
"support": 29705.0
|
411 |
+
},
|
412 |
+
"eval_runtime": 4.7731,
|
413 |
+
"eval_samples_per_second": 16.761,
|
414 |
+
"eval_steps_per_second": 2.095,
|
415 |
"eval_weighted avg": {
|
416 |
+
"f1-score": 0.9077607320175198,
|
417 |
+
"precision": 0.9067368029754924,
|
418 |
+
"recall": 0.910149806429894,
|
419 |
+
"support": 29705.0
|
420 |
},
|
421 |
"step": 729
|
422 |
},
|
423 |
{
|
424 |
"epoch": 10.0,
|
425 |
"eval_Claim": {
|
426 |
+
"f1-score": 0.6952499153785399,
|
427 |
+
"precision": 0.6562300319488817,
|
428 |
+
"recall": 0.7392034548944337,
|
429 |
+
"support": 4168.0
|
430 |
},
|
431 |
"eval_MajorClaim": {
|
432 |
+
"f1-score": 0.9103908484270734,
|
433 |
+
"precision": 0.9344422700587084,
|
434 |
+
"recall": 0.887546468401487,
|
435 |
+
"support": 2152.0
|
436 |
},
|
437 |
"eval_O": {
|
438 |
+
"f1-score": 1.0,
|
439 |
+
"precision": 1.0,
|
440 |
+
"recall": 1.0,
|
441 |
+
"support": 11312.0
|
442 |
},
|
443 |
"eval_Premise": {
|
444 |
+
"f1-score": 0.9012517385257303,
|
445 |
+
"precision": 0.9174532349407929,
|
446 |
+
"recall": 0.8856125238134681,
|
447 |
+
"support": 12073.0
|
448 |
},
|
449 |
+
"eval_accuracy": 0.9087695674128935,
|
450 |
+
"eval_loss": 0.4968256950378418,
|
451 |
"eval_macro avg": {
|
452 |
+
"f1-score": 0.8767231255828358,
|
453 |
+
"precision": 0.8770313842370958,
|
454 |
+
"recall": 0.8780906117773473,
|
455 |
+
"support": 29705.0
|
456 |
+
},
|
457 |
+
"eval_runtime": 4.7941,
|
458 |
+
"eval_samples_per_second": 16.687,
|
459 |
+
"eval_steps_per_second": 2.086,
|
460 |
"eval_weighted avg": {
|
461 |
+
"f1-score": 0.9106135328171674,
|
462 |
+
"precision": 0.9134657277821738,
|
463 |
+
"recall": 0.9087695674128935,
|
464 |
+
"support": 29705.0
|
465 |
},
|
466 |
"step": 810
|
467 |
},
|
468 |
{
|
469 |
"epoch": 11.0,
|
470 |
"eval_Claim": {
|
471 |
+
"f1-score": 0.6796779702366431,
|
472 |
+
"precision": 0.6913151364764268,
|
473 |
+
"recall": 0.668426103646833,
|
474 |
+
"support": 4168.0
|
475 |
},
|
476 |
"eval_MajorClaim": {
|
477 |
+
"f1-score": 0.9301903898458749,
|
478 |
+
"precision": 0.9079646017699115,
|
479 |
+
"recall": 0.9535315985130112,
|
480 |
+
"support": 2152.0
|
481 |
},
|
482 |
"eval_O": {
|
483 |
+
"f1-score": 0.9999558011049724,
|
484 |
+
"precision": 0.9999116061168567,
|
485 |
+
"recall": 1.0,
|
486 |
+
"support": 11312.0
|
487 |
},
|
488 |
"eval_Premise": {
|
489 |
+
"f1-score": 0.901923474663909,
|
490 |
+
"precision": 0.9008428358948934,
|
491 |
+
"recall": 0.9030067091857865,
|
492 |
+
"support": 12073.0
|
493 |
},
|
494 |
+
"eval_accuracy": 0.9106884362901868,
|
495 |
+
"eval_loss": 0.5864725708961487,
|
496 |
"eval_macro avg": {
|
497 |
+
"f1-score": 0.8779369089628499,
|
498 |
+
"precision": 0.8750085450645222,
|
499 |
+
"recall": 0.8812411028364077,
|
500 |
+
"support": 29705.0
|
501 |
+
},
|
502 |
+
"eval_runtime": 4.8031,
|
503 |
+
"eval_samples_per_second": 16.656,
|
504 |
+
"eval_steps_per_second": 2.082,
|
505 |
"eval_weighted avg": {
|
506 |
+
"f1-score": 0.9101191594213591,
|
507 |
+
"precision": 0.9096858090555641,
|
508 |
+
"recall": 0.9106884362901868,
|
509 |
+
"support": 29705.0
|
510 |
},
|
511 |
"step": 891
|
512 |
},
|
513 |
{
|
514 |
"epoch": 12.0,
|
515 |
"eval_Claim": {
|
516 |
+
"f1-score": 0.697112745636184,
|
517 |
+
"precision": 0.6425824731835661,
|
518 |
+
"recall": 0.7617562380038387,
|
519 |
+
"support": 4168.0
|
520 |
},
|
521 |
"eval_MajorClaim": {
|
522 |
+
"f1-score": 0.9365296803652968,
|
523 |
+
"precision": 0.920556552962298,
|
524 |
+
"recall": 0.9530669144981413,
|
525 |
+
"support": 2152.0
|
526 |
},
|
527 |
"eval_O": {
|
528 |
+
"f1-score": 1.0,
|
529 |
+
"precision": 1.0,
|
530 |
+
"recall": 1.0,
|
531 |
+
"support": 11312.0
|
532 |
},
|
533 |
"eval_Premise": {
|
534 |
+
"f1-score": 0.8923037300940034,
|
535 |
+
"precision": 0.9260513186029936,
|
536 |
+
"recall": 0.8609293464756067,
|
537 |
+
"support": 12073.0
|
538 |
},
|
539 |
+
"eval_accuracy": 0.9066487123379903,
|
540 |
+
"eval_loss": 0.5556066632270813,
|
541 |
"eval_macro avg": {
|
542 |
+
"f1-score": 0.8814865390238711,
|
543 |
+
"precision": 0.8722975861872144,
|
544 |
+
"recall": 0.8939381247443967,
|
545 |
+
"support": 29705.0
|
546 |
+
},
|
547 |
+
"eval_runtime": 4.7999,
|
548 |
+
"eval_samples_per_second": 16.667,
|
549 |
+
"eval_steps_per_second": 2.083,
|
550 |
"eval_weighted avg": {
|
551 |
+
"f1-score": 0.9091318205481447,
|
552 |
+
"precision": 0.9140393543072853,
|
553 |
+
"recall": 0.9066487123379903,
|
554 |
+
"support": 29705.0
|
555 |
},
|
556 |
"step": 972
|
557 |
},
|
558 |
{
|
559 |
"epoch": 12.35,
|
560 |
+
"grad_norm": 3.987734794616699,
|
561 |
"learning_rate": 1.506172839506173e-05,
|
562 |
+
"loss": 0.0252,
|
563 |
"step": 1000
|
564 |
},
|
565 |
{
|
566 |
"epoch": 13.0,
|
567 |
"eval_Claim": {
|
568 |
+
"f1-score": 0.6895428929242329,
|
569 |
+
"precision": 0.7212470526591565,
|
570 |
+
"recall": 0.6605086372360844,
|
571 |
+
"support": 4168.0
|
572 |
},
|
573 |
"eval_MajorClaim": {
|
574 |
+
"f1-score": 0.9265742214139577,
|
575 |
+
"precision": 0.9069870939029817,
|
576 |
+
"recall": 0.9470260223048327,
|
577 |
+
"support": 2152.0
|
578 |
},
|
579 |
"eval_O": {
|
580 |
+
"f1-score": 0.9999558011049724,
|
581 |
+
"precision": 0.9999116061168567,
|
582 |
+
"recall": 1.0,
|
583 |
+
"support": 11312.0
|
584 |
},
|
585 |
"eval_Premise": {
|
586 |
+
"f1-score": 0.9083234293676489,
|
587 |
+
"precision": 0.8989292667099286,
|
588 |
+
"recall": 0.917916010933488,
|
589 |
+
"support": 12073.0
|
590 |
},
|
591 |
+
"eval_accuracy": 0.9151657970038714,
|
592 |
+
"eval_loss": 0.5547633767127991,
|
593 |
"eval_macro avg": {
|
594 |
+
"f1-score": 0.8810990862027029,
|
595 |
+
"precision": 0.8817687548472308,
|
596 |
+
"recall": 0.8813626676186013,
|
597 |
+
"support": 29705.0
|
598 |
+
},
|
599 |
+
"eval_runtime": 4.8002,
|
600 |
+
"eval_samples_per_second": 16.666,
|
601 |
+
"eval_steps_per_second": 2.083,
|
602 |
"eval_weighted avg": {
|
603 |
+
"f1-score": 0.9138424940934561,
|
604 |
+
"precision": 0.9130371003853032,
|
605 |
+
"recall": 0.9151657970038714,
|
606 |
+
"support": 29705.0
|
607 |
},
|
608 |
"step": 1053
|
609 |
},
|
610 |
{
|
611 |
"epoch": 14.0,
|
612 |
"eval_Claim": {
|
613 |
+
"f1-score": 0.6662641873943491,
|
614 |
+
"precision": 0.6706368497812348,
|
615 |
+
"recall": 0.6619481765834933,
|
616 |
+
"support": 4168.0
|
617 |
},
|
618 |
"eval_MajorClaim": {
|
619 |
+
"f1-score": 0.9252051582649472,
|
620 |
+
"precision": 0.9337434926644581,
|
621 |
+
"recall": 0.91682156133829,
|
622 |
+
"support": 2152.0
|
623 |
},
|
624 |
"eval_O": {
|
625 |
+
"f1-score": 1.0,
|
626 |
"precision": 1.0,
|
627 |
+
"recall": 1.0,
|
628 |
+
"support": 11312.0
|
629 |
},
|
630 |
"eval_Premise": {
|
631 |
+
"f1-score": 0.8968191757085687,
|
632 |
+
"precision": 0.8933914187078744,
|
633 |
+
"recall": 0.9002733371987078,
|
634 |
+
"support": 12073.0
|
635 |
},
|
636 |
+
"eval_accuracy": 0.9060090893788925,
|
637 |
+
"eval_loss": 0.598924994468689,
|
638 |
"eval_macro avg": {
|
639 |
+
"f1-score": 0.8720721303419663,
|
640 |
+
"precision": 0.8744429402883919,
|
641 |
+
"recall": 0.8697607687801228,
|
642 |
+
"support": 29705.0
|
643 |
+
},
|
644 |
+
"eval_runtime": 4.8166,
|
645 |
+
"eval_samples_per_second": 16.609,
|
646 |
+
"eval_steps_per_second": 2.076,
|
647 |
"eval_weighted avg": {
|
648 |
+
"f1-score": 0.9058181633386757,
|
649 |
+
"precision": 0.9056571278963901,
|
650 |
+
"recall": 0.9060090893788925,
|
651 |
+
"support": 29705.0
|
652 |
},
|
653 |
"step": 1134
|
654 |
},
|
655 |
{
|
656 |
"epoch": 15.0,
|
657 |
"eval_Claim": {
|
658 |
+
"f1-score": 0.6859867017940033,
|
659 |
+
"precision": 0.7189061267420458,
|
660 |
+
"recall": 0.6559500959692899,
|
661 |
+
"support": 4168.0
|
662 |
},
|
663 |
"eval_MajorClaim": {
|
664 |
+
"f1-score": 0.9230404925408477,
|
665 |
+
"precision": 0.9410912602607436,
|
666 |
+
"recall": 0.9056691449814126,
|
667 |
+
"support": 2152.0
|
668 |
},
|
669 |
"eval_O": {
|
670 |
+
"f1-score": 1.0,
|
671 |
+
"precision": 1.0,
|
672 |
+
"recall": 1.0,
|
673 |
+
"support": 11312.0
|
674 |
},
|
675 |
"eval_Premise": {
|
676 |
+
"f1-score": 0.9089134677944047,
|
677 |
+
"precision": 0.89272306094736,
|
678 |
+
"recall": 0.9257019796239543,
|
679 |
+
"support": 12073.0
|
680 |
},
|
681 |
+
"eval_accuracy": 0.9146944958761152,
|
682 |
+
"eval_loss": 0.5877691507339478,
|
683 |
"eval_macro avg": {
|
684 |
+
"f1-score": 0.8794851655323139,
|
685 |
+
"precision": 0.8881801119875374,
|
686 |
+
"recall": 0.8718303051436642,
|
687 |
+
"support": 29705.0
|
688 |
+
},
|
689 |
+
"eval_runtime": 4.7894,
|
690 |
+
"eval_samples_per_second": 16.704,
|
691 |
+
"eval_steps_per_second": 2.088,
|
692 |
"eval_weighted avg": {
|
693 |
+
"f1-score": 0.9133441511431463,
|
694 |
+
"precision": 0.9126906124611831,
|
695 |
+
"recall": 0.9146944958761152,
|
696 |
+
"support": 29705.0
|
697 |
},
|
698 |
"step": 1215
|
699 |
},
|
700 |
{
|
701 |
"epoch": 16.0,
|
702 |
"eval_Claim": {
|
703 |
+
"f1-score": 0.6963696369636965,
|
704 |
+
"precision": 0.6844300278035218,
|
705 |
+
"recall": 0.7087332053742802,
|
706 |
+
"support": 4168.0
|
707 |
},
|
708 |
"eval_MajorClaim": {
|
709 |
+
"f1-score": 0.9235896215186861,
|
710 |
+
"precision": 0.9468033186920449,
|
711 |
+
"recall": 0.9014869888475836,
|
712 |
+
"support": 2152.0
|
713 |
},
|
714 |
"eval_O": {
|
715 |
+
"f1-score": 1.0,
|
716 |
"precision": 1.0,
|
717 |
+
"recall": 1.0,
|
718 |
+
"support": 11312.0
|
719 |
},
|
720 |
"eval_Premise": {
|
721 |
+
"f1-score": 0.9048587195552051,
|
722 |
+
"precision": 0.9065513801130695,
|
723 |
+
"recall": 0.9031723680940943,
|
724 |
+
"support": 12073.0
|
725 |
},
|
726 |
+
"eval_accuracy": 0.9126409695337485,
|
727 |
+
"eval_loss": 0.5437762141227722,
|
728 |
"eval_macro avg": {
|
729 |
+
"f1-score": 0.881204494509397,
|
730 |
+
"precision": 0.884446181652159,
|
731 |
+
"recall": 0.8783481405789896,
|
732 |
+
"support": 29705.0
|
733 |
+
},
|
734 |
+
"eval_runtime": 4.8031,
|
735 |
+
"eval_samples_per_second": 16.656,
|
736 |
+
"eval_steps_per_second": 2.082,
|
737 |
"eval_weighted avg": {
|
738 |
+
"f1-score": 0.913192823886985,
|
739 |
+
"precision": 0.9138872213369954,
|
740 |
+
"recall": 0.9126409695337485,
|
741 |
+
"support": 29705.0
|
742 |
},
|
743 |
"step": 1296
|
744 |
},
|
745 |
{
|
746 |
"epoch": 17.0,
|
747 |
"eval_Claim": {
|
748 |
+
"f1-score": 0.647066981001248,
|
749 |
+
"precision": 0.7666776207689779,
|
750 |
+
"recall": 0.5597408829174664,
|
751 |
+
"support": 4168.0
|
752 |
},
|
753 |
"eval_MajorClaim": {
|
754 |
+
"f1-score": 0.9200805910006717,
|
755 |
+
"precision": 0.8876889848812095,
|
756 |
+
"recall": 0.9549256505576208,
|
757 |
+
"support": 2152.0
|
758 |
},
|
759 |
"eval_O": {
|
760 |
+
"f1-score": 0.9999558011049724,
|
761 |
+
"precision": 0.9999116061168567,
|
762 |
+
"recall": 1.0,
|
763 |
+
"support": 11312.0
|
764 |
},
|
765 |
"eval_Premise": {
|
766 |
+
"f1-score": 0.9095471382482972,
|
767 |
+
"precision": 0.8760165720423507,
|
768 |
+
"recall": 0.9457467075291974,
|
769 |
+
"support": 12073.0
|
770 |
},
|
771 |
+
"eval_accuracy": 0.912910284463895,
|
772 |
+
"eval_loss": 0.6229106783866882,
|
773 |
"eval_macro avg": {
|
774 |
+
"f1-score": 0.8691626278387974,
|
775 |
+
"precision": 0.8825736959523487,
|
776 |
+
"recall": 0.8651033102510712,
|
777 |
+
"support": 29705.0
|
778 |
+
},
|
779 |
+
"eval_runtime": 4.8073,
|
780 |
+
"eval_samples_per_second": 16.641,
|
781 |
+
"eval_steps_per_second": 2.08,
|
782 |
"eval_weighted avg": {
|
783 |
+
"f1-score": 0.9079094842894391,
|
784 |
+
"precision": 0.9087011338660376,
|
785 |
+
"recall": 0.912910284463895,
|
786 |
+
"support": 29705.0
|
787 |
},
|
788 |
"step": 1377
|
789 |
},
|
790 |
{
|
791 |
"epoch": 18.0,
|
792 |
"eval_Claim": {
|
793 |
+
"f1-score": 0.6821297989031078,
|
794 |
+
"precision": 0.6511780104712042,
|
795 |
+
"recall": 0.7161708253358925,
|
796 |
+
"support": 4168.0
|
797 |
},
|
798 |
"eval_MajorClaim": {
|
799 |
+
"f1-score": 0.922899353647276,
|
800 |
+
"precision": 0.9169724770642201,
|
801 |
+
"recall": 0.9289033457249071,
|
802 |
+
"support": 2152.0
|
803 |
},
|
804 |
"eval_O": {
|
805 |
+
"f1-score": 0.9999558011049724,
|
806 |
+
"precision": 0.9999116061168567,
|
807 |
+
"recall": 1.0,
|
808 |
+
"support": 11312.0
|
809 |
},
|
810 |
"eval_Premise": {
|
811 |
+
"f1-score": 0.8941394877853255,
|
812 |
+
"precision": 0.9112487100103199,
|
813 |
+
"recall": 0.8776608962146939,
|
814 |
+
"support": 12073.0
|
815 |
},
|
816 |
+
"eval_accuracy": 0.9053021376872581,
|
817 |
+
"eval_loss": 0.5977877378463745,
|
818 |
"eval_macro avg": {
|
819 |
+
"f1-score": 0.8747811103601705,
|
820 |
+
"precision": 0.8698277009156502,
|
821 |
+
"recall": 0.8806837668188734,
|
822 |
+
"support": 29705.0
|
823 |
+
},
|
824 |
+
"eval_runtime": 4.7819,
|
825 |
+
"eval_samples_per_second": 16.73,
|
826 |
+
"eval_steps_per_second": 2.091,
|
827 |
"eval_weighted avg": {
|
828 |
+
"f1-score": 0.9067713337488226,
|
829 |
+
"precision": 0.9089358856298488,
|
830 |
+
"recall": 0.9053021376872581,
|
831 |
+
"support": 29705.0
|
832 |
},
|
833 |
"step": 1458
|
834 |
},
|
835 |
{
|
836 |
"epoch": 18.52,
|
837 |
+
"grad_norm": 3.641792058944702,
|
838 |
"learning_rate": 1.2592592592592593e-05,
|
839 |
+
"loss": 0.0101,
|
840 |
"step": 1500
|
841 |
},
|
842 |
{
|
843 |
"epoch": 19.0,
|
844 |
"eval_Claim": {
|
845 |
+
"f1-score": 0.6483875179527353,
|
846 |
+
"precision": 0.711257519335434,
|
847 |
+
"recall": 0.5957293666026872,
|
848 |
+
"support": 4168.0
|
849 |
},
|
850 |
"eval_MajorClaim": {
|
851 |
+
"f1-score": 0.9248662479646429,
|
852 |
+
"precision": 0.9259431765253843,
|
853 |
+
"recall": 0.9237918215613383,
|
854 |
+
"support": 2152.0
|
855 |
},
|
856 |
"eval_O": {
|
857 |
+
"f1-score": 1.0,
|
858 |
"precision": 1.0,
|
859 |
+
"recall": 1.0,
|
860 |
+
"support": 11312.0
|
861 |
},
|
862 |
"eval_Premise": {
|
863 |
+
"f1-score": 0.9020460770098276,
|
864 |
+
"precision": 0.8779302234417875,
|
865 |
+
"recall": 0.92752422761534,
|
866 |
+
"support": 12073.0
|
867 |
},
|
868 |
+
"eval_accuracy": 0.9082982662851372,
|
869 |
+
"eval_loss": 0.6089487075805664,
|
870 |
"eval_macro avg": {
|
871 |
+
"f1-score": 0.8688249607318015,
|
872 |
+
"precision": 0.8787827298256514,
|
873 |
+
"recall": 0.8617613539448413,
|
874 |
+
"support": 29705.0
|
875 |
+
},
|
876 |
+
"eval_runtime": 4.7853,
|
877 |
+
"eval_samples_per_second": 16.718,
|
878 |
+
"eval_steps_per_second": 2.09,
|
879 |
"eval_weighted avg": {
|
880 |
+
"f1-score": 0.9054096491562553,
|
881 |
+
"precision": 0.9045077476547858,
|
882 |
+
"recall": 0.9082982662851372,
|
883 |
+
"support": 29705.0
|
884 |
},
|
885 |
"step": 1539
|
886 |
},
|
887 |
{
|
888 |
"epoch": 20.0,
|
889 |
"eval_Claim": {
|
890 |
+
"f1-score": 0.7207543032562219,
|
891 |
+
"precision": 0.66363819907127,
|
892 |
+
"recall": 0.7886276391554703,
|
893 |
+
"support": 4168.0
|
894 |
},
|
895 |
"eval_MajorClaim": {
|
896 |
+
"f1-score": 0.9401589527816735,
|
897 |
+
"precision": 0.9459078080903104,
|
898 |
+
"recall": 0.9344795539033457,
|
899 |
+
"support": 2152.0
|
900 |
},
|
901 |
"eval_O": {
|
902 |
+
"f1-score": 1.0,
|
903 |
+
"precision": 1.0,
|
904 |
+
"recall": 1.0,
|
905 |
+
"support": 11312.0
|
906 |
},
|
907 |
"eval_Premise": {
|
908 |
+
"f1-score": 0.8998161371702227,
|
909 |
+
"precision": 0.9299982322785929,
|
910 |
+
"recall": 0.8715315166073055,
|
911 |
+
"support": 12073.0
|
912 |
},
|
913 |
+
"eval_accuracy": 0.9133815855916513,
|
914 |
+
"eval_loss": 0.6035876274108887,
|
915 |
"eval_macro avg": {
|
916 |
+
"f1-score": 0.8901823483020296,
|
917 |
+
"precision": 0.8848860598600434,
|
918 |
+
"recall": 0.8986596774165303,
|
919 |
+
"support": 29705.0
|
920 |
+
},
|
921 |
+
"eval_runtime": 4.7726,
|
922 |
+
"eval_samples_per_second": 16.762,
|
923 |
+
"eval_steps_per_second": 2.095,
|
924 |
"eval_weighted avg": {
|
925 |
+
"f1-score": 0.9157652323317351,
|
926 |
+
"precision": 0.9204344815700675,
|
927 |
+
"recall": 0.9133815855916513,
|
928 |
+
"support": 29705.0
|
929 |
},
|
930 |
"step": 1620
|
931 |
},
|
932 |
{
|
933 |
"epoch": 21.0,
|
934 |
"eval_Claim": {
|
935 |
+
"f1-score": 0.6858804196688157,
|
936 |
+
"precision": 0.7248196633716271,
|
937 |
+
"recall": 0.650911708253359,
|
938 |
+
"support": 4168.0
|
939 |
},
|
940 |
"eval_MajorClaim": {
|
941 |
+
"f1-score": 0.9371935559187485,
|
942 |
+
"precision": 0.9418113561708118,
|
943 |
+
"recall": 0.9326208178438662,
|
944 |
+
"support": 2152.0
|
945 |
},
|
946 |
"eval_O": {
|
947 |
+
"f1-score": 1.0,
|
948 |
"precision": 1.0,
|
949 |
+
"recall": 1.0,
|
950 |
+
"support": 11312.0
|
951 |
},
|
952 |
"eval_Premise": {
|
953 |
+
"f1-score": 0.907693558880937,
|
954 |
+
"precision": 0.8915248821790878,
|
955 |
+
"recall": 0.9244595378116458,
|
956 |
+
"support": 12073.0
|
957 |
},
|
958 |
+
"eval_accuracy": 0.9154351119340178,
|
959 |
+
"eval_loss": 0.6373494267463684,
|
960 |
"eval_macro avg": {
|
961 |
+
"f1-score": 0.8826918836171254,
|
962 |
+
"precision": 0.8895389754303817,
|
963 |
+
"recall": 0.8769980159772177,
|
964 |
+
"support": 29705.0
|
965 |
+
},
|
966 |
+
"eval_runtime": 4.7918,
|
967 |
+
"eval_samples_per_second": 16.695,
|
968 |
+
"eval_steps_per_second": 2.087,
|
969 |
"eval_weighted avg": {
|
970 |
+
"f1-score": 0.913858759733591,
|
971 |
+
"precision": 0.9130855511853444,
|
972 |
+
"recall": 0.9154351119340178,
|
973 |
+
"support": 29705.0
|
974 |
},
|
975 |
"step": 1701
|
976 |
},
|
977 |
{
|
978 |
"epoch": 22.0,
|
979 |
"eval_Claim": {
|
980 |
+
"f1-score": 0.6833652924256951,
|
981 |
+
"precision": 0.6827107279693486,
|
982 |
+
"recall": 0.684021113243762,
|
983 |
+
"support": 4168.0
|
984 |
},
|
985 |
"eval_MajorClaim": {
|
986 |
+
"f1-score": 0.9286995515695068,
|
987 |
+
"precision": 0.8973136915077989,
|
988 |
+
"recall": 0.962360594795539,
|
989 |
+
"support": 2152.0
|
990 |
},
|
991 |
"eval_O": {
|
992 |
+
"f1-score": 0.9999558011049724,
|
993 |
+
"precision": 0.9999116061168567,
|
994 |
+
"recall": 1.0,
|
995 |
+
"support": 11312.0
|
996 |
},
|
997 |
"eval_Premise": {
|
998 |
+
"f1-score": 0.9007964638672282,
|
999 |
+
"precision": 0.9070372858582466,
|
1000 |
+
"recall": 0.8946409343162428,
|
1001 |
+
"support": 12073.0
|
1002 |
},
|
1003 |
+
"eval_accuracy": 0.9101161420636257,
|
1004 |
+
"eval_loss": 0.6425191760063171,
|
1005 |
"eval_macro avg": {
|
1006 |
+
"f1-score": 0.8782042772418507,
|
1007 |
+
"precision": 0.8717433278630627,
|
1008 |
+
"recall": 0.8852556605888859,
|
1009 |
+
"support": 29705.0
|
1010 |
+
},
|
1011 |
+
"eval_runtime": 4.8051,
|
1012 |
+
"eval_samples_per_second": 16.649,
|
1013 |
+
"eval_steps_per_second": 2.081,
|
1014 |
"eval_weighted avg": {
|
1015 |
+
"f1-score": 0.9100704832242509,
|
1016 |
+
"precision": 0.910224494827858,
|
1017 |
+
"recall": 0.9101161420636257,
|
1018 |
+
"support": 29705.0
|
1019 |
},
|
1020 |
"step": 1782
|
1021 |
},
|
1022 |
{
|
1023 |
"epoch": 23.0,
|
1024 |
"eval_Claim": {
|
1025 |
+
"f1-score": 0.7114282372207277,
|
1026 |
+
"precision": 0.6941337594156586,
|
1027 |
+
"recall": 0.7296065259117083,
|
1028 |
+
"support": 4168.0
|
1029 |
},
|
1030 |
"eval_MajorClaim": {
|
1031 |
+
"f1-score": 0.9322964318389753,
|
1032 |
+
"precision": 0.918018018018018,
|
1033 |
+
"recall": 0.9470260223048327,
|
1034 |
+
"support": 2152.0
|
1035 |
},
|
1036 |
"eval_O": {
|
1037 |
+
"f1-score": 1.0,
|
1038 |
"precision": 1.0,
|
1039 |
+
"recall": 1.0,
|
1040 |
+
"support": 11312.0
|
1041 |
},
|
1042 |
"eval_Premise": {
|
1043 |
+
"f1-score": 0.9069348418185628,
|
1044 |
+
"precision": 0.9177408412483039,
|
1045 |
+
"recall": 0.8963803528534747,
|
1046 |
+
"support": 12073.0
|
1047 |
},
|
1048 |
+
"eval_accuracy": 0.9161083992593839,
|
1049 |
+
"eval_loss": 0.6442272663116455,
|
1050 |
"eval_macro avg": {
|
1051 |
+
"f1-score": 0.8876648777195664,
|
1052 |
+
"precision": 0.8824731546704951,
|
1053 |
+
"recall": 0.893253225267504,
|
1054 |
+
"support": 29705.0
|
1055 |
+
},
|
1056 |
+
"eval_runtime": 4.7909,
|
1057 |
+
"eval_samples_per_second": 16.698,
|
1058 |
+
"eval_steps_per_second": 2.087,
|
1059 |
"eval_weighted avg": {
|
1060 |
+
"f1-score": 0.9167803117094421,
|
1061 |
+
"precision": 0.917711141572463,
|
1062 |
+
"recall": 0.9161083992593839,
|
1063 |
+
"support": 29705.0
|
1064 |
},
|
1065 |
"step": 1863
|
1066 |
},
|
1067 |
{
|
1068 |
"epoch": 24.0,
|
1069 |
"eval_Claim": {
|
1070 |
+
"f1-score": 0.70479277610558,
|
1071 |
+
"precision": 0.6809843400447427,
|
1072 |
+
"recall": 0.7303262955854126,
|
1073 |
+
"support": 4168.0
|
1074 |
},
|
1075 |
"eval_MajorClaim": {
|
1076 |
+
"f1-score": 0.9265043638033992,
|
1077 |
+
"precision": 0.915985467756585,
|
1078 |
+
"recall": 0.9372676579925651,
|
1079 |
+
"support": 2152.0
|
1080 |
},
|
1081 |
"eval_O": {
|
1082 |
+
"f1-score": 1.0,
|
1083 |
"precision": 1.0,
|
1084 |
+
"recall": 1.0,
|
1085 |
+
"support": 11312.0
|
1086 |
},
|
1087 |
"eval_Premise": {
|
1088 |
+
"f1-score": 0.904177523745482,
|
1089 |
+
"precision": 0.917754457810767,
|
1090 |
+
"recall": 0.8909964383334714,
|
1091 |
+
"support": 12073.0
|
1092 |
},
|
1093 |
+
"eval_accuracy": 0.9133142568591146,
|
1094 |
+
"eval_loss": 0.6410267353057861,
|
1095 |
"eval_macro avg": {
|
1096 |
+
"f1-score": 0.8838686659136152,
|
1097 |
+
"precision": 0.8786810664030237,
|
1098 |
+
"recall": 0.8896475979778622,
|
1099 |
+
"support": 29705.0
|
1100 |
+
},
|
1101 |
+
"eval_runtime": 4.8171,
|
1102 |
+
"eval_samples_per_second": 16.607,
|
1103 |
+
"eval_steps_per_second": 2.076,
|
1104 |
"eval_weighted avg": {
|
1105 |
+
"f1-score": 0.9143090027231838,
|
1106 |
+
"precision": 0.9157243906772613,
|
1107 |
+
"recall": 0.9133142568591146,
|
1108 |
+
"support": 29705.0
|
1109 |
},
|
1110 |
"step": 1944
|
1111 |
},
|
1112 |
{
|
1113 |
"epoch": 24.69,
|
1114 |
+
"grad_norm": 0.002705144230276346,
|
1115 |
"learning_rate": 1.0123456790123458e-05,
|
1116 |
+
"loss": 0.0041,
|
1117 |
"step": 2000
|
1118 |
},
|
1119 |
{
|
1120 |
"epoch": 25.0,
|
1121 |
"eval_Claim": {
|
1122 |
+
"f1-score": 0.6708741775211494,
|
1123 |
+
"precision": 0.761817627325404,
|
1124 |
+
"recall": 0.5993282149712092,
|
1125 |
+
"support": 4168.0
|
1126 |
},
|
1127 |
"eval_MajorClaim": {
|
1128 |
+
"f1-score": 0.9283402681460935,
|
1129 |
+
"precision": 0.9236430542778289,
|
1130 |
+
"recall": 0.9330855018587361,
|
1131 |
+
"support": 2152.0
|
1132 |
},
|
1133 |
"eval_O": {
|
1134 |
+
"f1-score": 1.0,
|
1135 |
+
"precision": 1.0,
|
1136 |
+
"recall": 1.0,
|
1137 |
+
"support": 11312.0
|
1138 |
},
|
1139 |
"eval_Premise": {
|
1140 |
+
"f1-score": 0.9124055491144605,
|
1141 |
+
"precision": 0.881839258114374,
|
1142 |
+
"recall": 0.94516690135012,
|
1143 |
+
"support": 12073.0
|
1144 |
},
|
1145 |
+
"eval_accuracy": 0.9166470291196768,
|
1146 |
+
"eval_loss": 0.6537314653396606,
|
1147 |
"eval_macro avg": {
|
1148 |
+
"f1-score": 0.8779049986954259,
|
1149 |
+
"precision": 0.8918249849294018,
|
1150 |
+
"recall": 0.8693951545450163,
|
1151 |
+
"support": 29705.0
|
1152 |
+
},
|
1153 |
+
"eval_runtime": 4.8009,
|
1154 |
+
"eval_samples_per_second": 16.664,
|
1155 |
+
"eval_steps_per_second": 2.083,
|
1156 |
"eval_weighted avg": {
|
1157 |
+
"f1-score": 0.9130268986169812,
|
1158 |
+
"precision": 0.9130241066053866,
|
1159 |
+
"recall": 0.9166470291196768,
|
1160 |
+
"support": 29705.0
|
1161 |
},
|
1162 |
"step": 2025
|
1163 |
},
|
1164 |
{
|
1165 |
"epoch": 26.0,
|
1166 |
"eval_Claim": {
|
1167 |
+
"f1-score": 0.7055278711322285,
|
1168 |
+
"precision": 0.682358215646716,
|
1169 |
+
"recall": 0.7303262955854126,
|
1170 |
+
"support": 4168.0
|
1171 |
},
|
1172 |
"eval_MajorClaim": {
|
1173 |
+
"f1-score": 0.9258656751103881,
|
1174 |
+
"precision": 0.9260808926080892,
|
1175 |
+
"recall": 0.9256505576208178,
|
1176 |
+
"support": 2152.0
|
1177 |
},
|
1178 |
"eval_O": {
|
1179 |
+
"f1-score": 0.9999558011049724,
|
1180 |
+
"precision": 0.9999116061168567,
|
1181 |
+
"recall": 1.0,
|
1182 |
+
"support": 11312.0
|
1183 |
},
|
1184 |
"eval_Premise": {
|
1185 |
+
"f1-score": 0.9045403093950447,
|
1186 |
+
"precision": 0.9157894736842105,
|
1187 |
+
"recall": 0.8935641514122422,
|
1188 |
+
"support": 12073.0
|
1189 |
},
|
1190 |
+
"eval_accuracy": 0.9135162430567244,
|
1191 |
+
"eval_loss": 0.6640132665634155,
|
1192 |
"eval_macro avg": {
|
1193 |
+
"f1-score": 0.8839724141856584,
|
1194 |
+
"precision": 0.8810350470139681,
|
1195 |
+
"recall": 0.8873852511546182,
|
1196 |
+
"support": 29705.0
|
1197 |
+
},
|
1198 |
+
"eval_runtime": 4.8275,
|
1199 |
+
"eval_samples_per_second": 16.572,
|
1200 |
+
"eval_steps_per_second": 2.071,
|
1201 |
"eval_weighted avg": {
|
1202 |
+
"f1-score": 0.9144964914035518,
|
1203 |
+
"precision": 0.9158162439956733,
|
1204 |
+
"recall": 0.9135162430567244,
|
1205 |
+
"support": 29705.0
|
1206 |
},
|
1207 |
"step": 2106
|
1208 |
},
|
1209 |
{
|
1210 |
"epoch": 27.0,
|
1211 |
"eval_Claim": {
|
1212 |
+
"f1-score": 0.6693952997095327,
|
1213 |
+
"precision": 0.7442748091603053,
|
1214 |
+
"recall": 0.6082053742802304,
|
1215 |
+
"support": 4168.0
|
1216 |
},
|
1217 |
"eval_MajorClaim": {
|
1218 |
+
"f1-score": 0.9346269346269347,
|
1219 |
+
"precision": 0.9292604501607717,
|
1220 |
+
"recall": 0.9400557620817844,
|
1221 |
+
"support": 2152.0
|
1222 |
},
|
1223 |
"eval_O": {
|
1224 |
+
"f1-score": 1.0,
|
1225 |
"precision": 1.0,
|
1226 |
+
"recall": 1.0,
|
1227 |
+
"support": 11312.0
|
1228 |
},
|
1229 |
"eval_Premise": {
|
1230 |
+
"f1-score": 0.9072057227826226,
|
1231 |
+
"precision": 0.8811085089773615,
|
1232 |
+
"recall": 0.9348960490350369,
|
1233 |
+
"support": 12073.0
|
1234 |
},
|
1235 |
+
"eval_accuracy": 0.9142231947483589,
|
1236 |
+
"eval_loss": 0.6806138753890991,
|
1237 |
"eval_macro avg": {
|
1238 |
+
"f1-score": 0.8778069892797724,
|
1239 |
+
"precision": 0.8886609420746096,
|
1240 |
+
"recall": 0.8707892963492629,
|
1241 |
+
"support": 29705.0
|
1242 |
+
},
|
1243 |
+
"eval_runtime": 4.796,
|
1244 |
+
"eval_samples_per_second": 16.68,
|
1245 |
+
"eval_steps_per_second": 2.085,
|
1246 |
"eval_weighted avg": {
|
1247 |
+
"f1-score": 0.9111614699094798,
|
1248 |
+
"precision": 0.9106725777549173,
|
1249 |
+
"recall": 0.9142231947483589,
|
1250 |
+
"support": 29705.0
|
1251 |
},
|
1252 |
"step": 2187
|
1253 |
},
|
1254 |
{
|
1255 |
"epoch": 28.0,
|
1256 |
"eval_Claim": {
|
1257 |
+
"f1-score": 0.7062782871068818,
|
1258 |
+
"precision": 0.6839739267251068,
|
1259 |
+
"recall": 0.7300863723608445,
|
1260 |
+
"support": 4168.0
|
1261 |
},
|
1262 |
"eval_MajorClaim": {
|
1263 |
+
"f1-score": 0.9229723606705936,
|
1264 |
+
"precision": 0.9005305039787799,
|
1265 |
+
"recall": 0.9465613382899628,
|
1266 |
+
"support": 2152.0
|
1267 |
},
|
1268 |
"eval_O": {
|
1269 |
+
"f1-score": 1.0,
|
1270 |
+
"precision": 1.0,
|
1271 |
+
"recall": 1.0,
|
1272 |
+
"support": 11312.0
|
1273 |
},
|
1274 |
"eval_Premise": {
|
1275 |
+
"f1-score": 0.9056619659019154,
|
1276 |
+
"precision": 0.9208183530217429,
|
1277 |
+
"recall": 0.8909964383334714,
|
1278 |
+
"support": 12073.0
|
1279 |
},
|
1280 |
+
"eval_accuracy": 0.9139538798182124,
|
1281 |
+
"eval_loss": 0.6814476251602173,
|
1282 |
"eval_macro avg": {
|
1283 |
+
"f1-score": 0.8837281534198478,
|
1284 |
+
"precision": 0.8763306959314074,
|
1285 |
+
"recall": 0.8919110372460697,
|
1286 |
+
"support": 29705.0
|
1287 |
+
},
|
1288 |
+
"eval_runtime": 4.7745,
|
1289 |
+
"eval_samples_per_second": 16.756,
|
1290 |
+
"eval_steps_per_second": 2.094,
|
1291 |
"eval_weighted avg": {
|
1292 |
+
"f1-score": 0.914864882516695,
|
1293 |
+
"precision": 0.9162694814739634,
|
1294 |
+
"recall": 0.9139538798182124,
|
1295 |
+
"support": 29705.0
|
1296 |
},
|
1297 |
"step": 2268
|
1298 |
},
|
1299 |
{
|
1300 |
"epoch": 29.0,
|
1301 |
"eval_Claim": {
|
1302 |
+
"f1-score": 0.6726794438181135,
|
1303 |
+
"precision": 0.7038007863695938,
|
1304 |
+
"recall": 0.644193857965451,
|
1305 |
+
"support": 4168.0
|
1306 |
},
|
1307 |
"eval_MajorClaim": {
|
1308 |
+
"f1-score": 0.9280182232346242,
|
1309 |
+
"precision": 0.9101876675603218,
|
1310 |
+
"recall": 0.9465613382899628,
|
1311 |
+
"support": 2152.0
|
1312 |
},
|
1313 |
"eval_O": {
|
1314 |
+
"f1-score": 0.9999558011049724,
|
1315 |
+
"precision": 0.9999116061168567,
|
1316 |
+
"recall": 1.0,
|
1317 |
+
"support": 11312.0
|
1318 |
},
|
1319 |
"eval_Premise": {
|
1320 |
+
"f1-score": 0.9038177945272816,
|
1321 |
+
"precision": 0.8940756949509685,
|
1322 |
+
"recall": 0.9137745382257931,
|
1323 |
+
"support": 12073.0
|
1324 |
},
|
1325 |
+
"eval_accuracy": 0.9111597374179431,
|
1326 |
+
"eval_loss": 0.7108751535415649,
|
1327 |
"eval_macro avg": {
|
1328 |
+
"f1-score": 0.8761178156712479,
|
1329 |
+
"precision": 0.8769939387494352,
|
1330 |
+
"recall": 0.8761324336203018,
|
1331 |
+
"support": 29705.0
|
1332 |
+
},
|
1333 |
+
"eval_runtime": 4.7653,
|
1334 |
+
"eval_samples_per_second": 16.788,
|
1335 |
+
"eval_steps_per_second": 2.098,
|
1336 |
"eval_weighted avg": {
|
1337 |
+
"f1-score": 0.9097497186891812,
|
1338 |
+
"precision": 0.9088483922476083,
|
1339 |
+
"recall": 0.9111597374179431,
|
1340 |
+
"support": 29705.0
|
1341 |
},
|
1342 |
"step": 2349
|
1343 |
},
|
1344 |
{
|
1345 |
"epoch": 30.0,
|
1346 |
"eval_Claim": {
|
1347 |
+
"f1-score": 0.6894300778307808,
|
1348 |
+
"precision": 0.7230121116377041,
|
1349 |
+
"recall": 0.6588291746641075,
|
1350 |
+
"support": 4168.0
|
1351 |
},
|
1352 |
"eval_MajorClaim": {
|
1353 |
+
"f1-score": 0.934747521328107,
|
1354 |
+
"precision": 0.9276887871853547,
|
1355 |
+
"recall": 0.9419144981412639,
|
1356 |
+
"support": 2152.0
|
1357 |
},
|
1358 |
"eval_O": {
|
1359 |
+
"f1-score": 1.0,
|
1360 |
+
"precision": 1.0,
|
1361 |
+
"recall": 1.0,
|
1362 |
+
"support": 11312.0
|
1363 |
},
|
1364 |
"eval_Premise": {
|
1365 |
+
"f1-score": 0.9087121676265164,
|
1366 |
+
"precision": 0.8963738920225625,
|
1367 |
+
"recall": 0.9213948480079516,
|
1368 |
+
"support": 12073.0
|
1369 |
},
|
1370 |
+
"eval_accuracy": 0.9159737417943107,
|
1371 |
+
"eval_loss": 0.6745549440383911,
|
1372 |
"eval_macro avg": {
|
1373 |
+
"f1-score": 0.883222441696351,
|
1374 |
+
"precision": 0.8867686977114053,
|
1375 |
+
"recall": 0.8805346302033308,
|
1376 |
+
"support": 29705.0
|
1377 |
+
},
|
1378 |
+
"eval_runtime": 4.7909,
|
1379 |
+
"eval_samples_per_second": 16.698,
|
1380 |
+
"eval_steps_per_second": 2.087,
|
1381 |
"eval_weighted avg": {
|
1382 |
+
"f1-score": 0.9145936115149541,
|
1383 |
+
"precision": 0.9137795909684305,
|
1384 |
+
"recall": 0.9159737417943107,
|
1385 |
+
"support": 29705.0
|
1386 |
},
|
1387 |
"step": 2430
|
1388 |
},
|
1389 |
{
|
1390 |
"epoch": 30.86,
|
1391 |
+
"grad_norm": 0.013120048679411411,
|
1392 |
"learning_rate": 7.654320987654322e-06,
|
1393 |
+
"loss": 0.0026,
|
1394 |
"step": 2500
|
1395 |
},
|
1396 |
{
|
1397 |
"epoch": 31.0,
|
1398 |
"eval_Claim": {
|
1399 |
+
"f1-score": 0.6823113802674742,
|
1400 |
+
"precision": 0.71953166577967,
|
1401 |
+
"recall": 0.6487523992322457,
|
1402 |
+
"support": 4168.0
|
1403 |
},
|
1404 |
"eval_MajorClaim": {
|
1405 |
+
"f1-score": 0.9337597076290544,
|
1406 |
+
"precision": 0.9182389937106918,
|
1407 |
+
"recall": 0.949814126394052,
|
1408 |
+
"support": 2152.0
|
1409 |
},
|
1410 |
"eval_O": {
|
1411 |
+
"f1-score": 1.0,
|
1412 |
+
"precision": 1.0,
|
1413 |
+
"recall": 1.0,
|
1414 |
+
"support": 11312.0
|
1415 |
},
|
1416 |
"eval_Premise": {
|
1417 |
+
"f1-score": 0.9071154317457725,
|
1418 |
+
"precision": 0.8948343943911677,
|
1419 |
+
"recall": 0.9197382589248737,
|
1420 |
+
"support": 12073.0
|
1421 |
},
|
1422 |
+
"eval_accuracy": 0.914458845312237,
|
1423 |
+
"eval_loss": 0.6794646382331848,
|
1424 |
"eval_macro avg": {
|
1425 |
+
"f1-score": 0.8807966299105753,
|
1426 |
+
"precision": 0.8831512634703823,
|
1427 |
+
"recall": 0.8795761961377929,
|
1428 |
+
"support": 29705.0
|
1429 |
+
},
|
1430 |
+
"eval_runtime": 4.7931,
|
1431 |
+
"eval_samples_per_second": 16.691,
|
1432 |
+
"eval_steps_per_second": 2.086,
|
1433 |
"eval_weighted avg": {
|
1434 |
+
"f1-score": 0.9128742410785817,
|
1435 |
+
"precision": 0.9119809439797892,
|
1436 |
+
"recall": 0.914458845312237,
|
1437 |
+
"support": 29705.0
|
1438 |
},
|
1439 |
"step": 2511
|
1440 |
},
|
1441 |
{
|
1442 |
"epoch": 32.0,
|
1443 |
"eval_Claim": {
|
1444 |
+
"f1-score": 0.6683053040103493,
|
1445 |
+
"precision": 0.7251544076361595,
|
1446 |
+
"recall": 0.619721689059501,
|
1447 |
+
"support": 4168.0
|
1448 |
},
|
1449 |
"eval_MajorClaim": {
|
1450 |
+
"f1-score": 0.9353594919482876,
|
1451 |
+
"precision": 0.9136021267168808,
|
1452 |
+
"recall": 0.95817843866171,
|
1453 |
+
"support": 2152.0
|
1454 |
},
|
1455 |
"eval_O": {
|
1456 |
+
"f1-score": 1.0,
|
1457 |
"precision": 1.0,
|
1458 |
+
"recall": 1.0,
|
1459 |
+
"support": 11312.0
|
1460 |
},
|
1461 |
"eval_Premise": {
|
1462 |
+
"f1-score": 0.904937720615085,
|
1463 |
+
"precision": 0.886909495784953,
|
1464 |
+
"recall": 0.9237140727242608,
|
1465 |
+
"support": 12073.0
|
1466 |
},
|
1467 |
+
"eval_accuracy": 0.9126073051674802,
|
1468 |
+
"eval_loss": 0.7192577123641968,
|
1469 |
"eval_macro avg": {
|
1470 |
+
"f1-score": 0.8771506291434306,
|
1471 |
+
"precision": 0.8814165075344984,
|
1472 |
+
"recall": 0.875403550111368,
|
1473 |
+
"support": 29705.0
|
1474 |
+
},
|
1475 |
+
"eval_runtime": 4.7949,
|
1476 |
+
"eval_samples_per_second": 16.684,
|
1477 |
+
"eval_steps_per_second": 2.086,
|
1478 |
"eval_weighted avg": {
|
1479 |
+
"f1-score": 0.9101398160166225,
|
1480 |
+
"precision": 0.9092130513494017,
|
1481 |
+
"recall": 0.9126073051674802,
|
1482 |
+
"support": 29705.0
|
1483 |
},
|
1484 |
"step": 2592
|
1485 |
},
|
1486 |
{
|
1487 |
"epoch": 33.0,
|
1488 |
"eval_Claim": {
|
1489 |
+
"f1-score": 0.7084387215451827,
|
1490 |
+
"precision": 0.6801324503311258,
|
1491 |
+
"recall": 0.7392034548944337,
|
1492 |
+
"support": 4168.0
|
1493 |
},
|
1494 |
"eval_MajorClaim": {
|
1495 |
+
"f1-score": 0.937269372693727,
|
1496 |
+
"precision": 0.9304029304029304,
|
1497 |
+
"recall": 0.9442379182156134,
|
1498 |
+
"support": 2152.0
|
1499 |
},
|
1500 |
"eval_O": {
|
1501 |
+
"f1-score": 1.0,
|
1502 |
"precision": 1.0,
|
1503 |
+
"recall": 1.0,
|
1504 |
+
"support": 11312.0
|
1505 |
},
|
1506 |
"eval_Premise": {
|
1507 |
+
"f1-score": 0.9026608285618052,
|
1508 |
+
"precision": 0.9178868053771727,
|
1509 |
+
"recall": 0.8879317485297772,
|
1510 |
+
"support": 12073.0
|
1511 |
},
|
1512 |
+
"eval_accuracy": 0.9138192223531392,
|
1513 |
+
"eval_loss": 0.699444055557251,
|
1514 |
"eval_macro avg": {
|
1515 |
+
"f1-score": 0.8870922307001787,
|
1516 |
+
"precision": 0.8821055465278073,
|
1517 |
+
"recall": 0.8928432804099561,
|
1518 |
+
"support": 29705.0
|
1519 |
+
},
|
1520 |
+
"eval_runtime": 4.7863,
|
1521 |
+
"eval_samples_per_second": 16.715,
|
1522 |
+
"eval_steps_per_second": 2.089,
|
1523 |
"eval_weighted avg": {
|
1524 |
+
"f1-score": 0.9149840250686382,
|
1525 |
+
"precision": 0.9167031328236271,
|
1526 |
+
"recall": 0.9138192223531392,
|
1527 |
+
"support": 29705.0
|
1528 |
},
|
1529 |
"step": 2673
|
1530 |
},
|
1531 |
{
|
1532 |
"epoch": 34.0,
|
1533 |
"eval_Claim": {
|
1534 |
+
"f1-score": 0.6974015088013411,
|
1535 |
+
"precision": 0.6961510877360746,
|
1536 |
+
"recall": 0.6986564299424184,
|
1537 |
+
"support": 4168.0
|
1538 |
},
|
1539 |
"eval_MajorClaim": {
|
1540 |
+
"f1-score": 0.9402335699564919,
|
1541 |
+
"precision": 0.92686230248307,
|
1542 |
+
"recall": 0.953996282527881,
|
1543 |
+
"support": 2152.0
|
1544 |
},
|
1545 |
"eval_O": {
|
1546 |
+
"f1-score": 1.0,
|
1547 |
+
"precision": 1.0,
|
1548 |
+
"recall": 1.0,
|
1549 |
+
"support": 11312.0
|
1550 |
},
|
1551 |
"eval_Premise": {
|
1552 |
+
"f1-score": 0.9036895462855244,
|
1553 |
+
"precision": 0.9066277615673197,
|
1554 |
+
"recall": 0.9007703139236313,
|
1555 |
+
"support": 12073.0
|
1556 |
},
|
1557 |
+
"eval_accuracy": 0.9140548729170174,
|
1558 |
+
"eval_loss": 0.7247604131698608,
|
1559 |
"eval_macro avg": {
|
1560 |
+
"f1-score": 0.8853311562608394,
|
1561 |
+
"precision": 0.882410287946616,
|
1562 |
+
"recall": 0.8883557565984826,
|
1563 |
+
"support": 29705.0
|
1564 |
+
},
|
1565 |
+
"eval_runtime": 4.8212,
|
1566 |
+
"eval_samples_per_second": 16.593,
|
1567 |
+
"eval_steps_per_second": 2.074,
|
1568 |
"eval_weighted avg": {
|
1569 |
+
"f1-score": 0.9140682047983671,
|
1570 |
+
"precision": 0.9141182418458097,
|
1571 |
+
"recall": 0.9140548729170174,
|
1572 |
+
"support": 29705.0
|
1573 |
},
|
1574 |
"step": 2754
|
1575 |
},
|
1576 |
{
|
1577 |
"epoch": 35.0,
|
1578 |
"eval_Claim": {
|
1579 |
+
"f1-score": 0.6959401447320005,
|
1580 |
+
"precision": 0.7119196988707653,
|
1581 |
+
"recall": 0.680662188099808,
|
1582 |
+
"support": 4168.0
|
1583 |
},
|
1584 |
"eval_MajorClaim": {
|
1585 |
+
"f1-score": 0.9385984934946359,
|
1586 |
+
"precision": 0.9223867205024675,
|
1587 |
+
"recall": 0.9553903345724907,
|
1588 |
+
"support": 2152.0
|
1589 |
},
|
1590 |
"eval_O": {
|
1591 |
+
"f1-score": 0.9999558011049724,
|
1592 |
+
"precision": 0.9999116061168567,
|
1593 |
+
"recall": 1.0,
|
1594 |
+
"support": 11312.0
|
1595 |
},
|
1596 |
"eval_Premise": {
|
1597 |
+
"f1-score": 0.9068492020947589,
|
1598 |
+
"precision": 0.9029397273772376,
|
1599 |
+
"recall": 0.9107926778762528,
|
1600 |
+
"support": 12073.0
|
1601 |
},
|
1602 |
+
"eval_accuracy": 0.9157044268641643,
|
1603 |
+
"eval_loss": 0.7355715036392212,
|
1604 |
"eval_macro avg": {
|
1605 |
+
"f1-score": 0.885335910356592,
|
1606 |
+
"precision": 0.8842894382168318,
|
1607 |
+
"recall": 0.8867113001371378,
|
1608 |
+
"support": 29705.0
|
1609 |
+
},
|
1610 |
+
"eval_runtime": 4.8984,
|
1611 |
+
"eval_samples_per_second": 16.332,
|
1612 |
+
"eval_steps_per_second": 2.041,
|
1613 |
"eval_weighted avg": {
|
1614 |
+
"f1-score": 0.9150120491578154,
|
1615 |
+
"precision": 0.914473958742095,
|
1616 |
+
"recall": 0.9157044268641643,
|
1617 |
+
"support": 29705.0
|
1618 |
},
|
1619 |
"step": 2835
|
1620 |
},
|
1621 |
{
|
1622 |
"epoch": 36.0,
|
1623 |
"eval_Claim": {
|
1624 |
+
"f1-score": 0.6910893483254744,
|
1625 |
+
"precision": 0.6965634901291737,
|
1626 |
+
"recall": 0.685700575815739,
|
1627 |
+
"support": 4168.0
|
1628 |
},
|
1629 |
"eval_MajorClaim": {
|
1630 |
+
"f1-score": 0.9263347600810993,
|
1631 |
+
"precision": 0.8989943156974202,
|
1632 |
+
"recall": 0.9553903345724907,
|
1633 |
+
"support": 2152.0
|
1634 |
},
|
1635 |
"eval_O": {
|
1636 |
+
"f1-score": 1.0,
|
1637 |
"precision": 1.0,
|
1638 |
+
"recall": 1.0,
|
1639 |
+
"support": 11312.0
|
1640 |
},
|
1641 |
"eval_Premise": {
|
1642 |
+
"f1-score": 0.9052998837016115,
|
1643 |
+
"precision": 0.9079396817462301,
|
1644 |
+
"recall": 0.9026753913691709,
|
1645 |
+
"support": 12073.0
|
1646 |
},
|
1647 |
+
"eval_accuracy": 0.9131122706615048,
|
1648 |
+
"eval_loss": 0.7339844703674316,
|
1649 |
"eval_macro avg": {
|
1650 |
+
"f1-score": 0.8806809980270462,
|
1651 |
+
"precision": 0.8758743718932059,
|
1652 |
+
"recall": 0.8859415754393501,
|
1653 |
+
"support": 29705.0
|
1654 |
+
},
|
1655 |
+
"eval_runtime": 4.803,
|
1656 |
+
"eval_samples_per_second": 16.656,
|
1657 |
+
"eval_steps_per_second": 2.082,
|
1658 |
"eval_weighted avg": {
|
1659 |
+
"f1-score": 0.912830106158716,
|
1660 |
+
"precision": 0.9126903946124048,
|
1661 |
+
"recall": 0.9131122706615048,
|
1662 |
+
"support": 29705.0
|
1663 |
},
|
1664 |
"step": 2916
|
1665 |
},
|
1666 |
{
|
1667 |
"epoch": 37.0,
|
1668 |
"eval_Claim": {
|
1669 |
+
"f1-score": 0.6958525345622121,
|
1670 |
+
"precision": 0.6693262411347518,
|
1671 |
+
"recall": 0.7245681381957774,
|
1672 |
+
"support": 4168.0
|
1673 |
},
|
1674 |
"eval_MajorClaim": {
|
1675 |
+
"f1-score": 0.9284262813276133,
|
1676 |
+
"precision": 0.9029424681598595,
|
1677 |
+
"recall": 0.9553903345724907,
|
1678 |
+
"support": 2152.0
|
1679 |
},
|
1680 |
"eval_O": {
|
1681 |
+
"f1-score": 1.0,
|
1682 |
"precision": 1.0,
|
1683 |
+
"recall": 1.0,
|
1684 |
+
"support": 11312.0
|
1685 |
},
|
1686 |
"eval_Premise": {
|
1687 |
+
"f1-score": 0.8996916839126579,
|
1688 |
+
"precision": 0.917873147190624,
|
1689 |
+
"recall": 0.8822165161931583,
|
1690 |
+
"support": 12073.0
|
1691 |
},
|
1692 |
+
"eval_accuracy": 0.9102507995286989,
|
1693 |
+
"eval_loss": 0.7738711833953857,
|
1694 |
"eval_macro avg": {
|
1695 |
+
"f1-score": 0.8809926249506208,
|
1696 |
+
"precision": 0.8725354641213088,
|
1697 |
+
"recall": 0.8905437472403566,
|
1698 |
+
"support": 29705.0
|
1699 |
+
},
|
1700 |
+
"eval_runtime": 4.8009,
|
1701 |
+
"eval_samples_per_second": 16.663,
|
1702 |
+
"eval_steps_per_second": 2.083,
|
1703 |
"eval_weighted avg": {
|
1704 |
+
"f1-score": 0.9113706251927232,
|
1705 |
+
"precision": 0.9131919363932695,
|
1706 |
+
"recall": 0.9102507995286989,
|
1707 |
+
"support": 29705.0
|
1708 |
},
|
1709 |
"step": 2997
|
1710 |
},
|
1711 |
{
|
1712 |
"epoch": 37.04,
|
1713 |
+
"grad_norm": 29.786388397216797,
|
1714 |
"learning_rate": 5.185185185185185e-06,
|
1715 |
+
"loss": 0.0015,
|
1716 |
"step": 3000
|
1717 |
},
|
1718 |
{
|
1719 |
"epoch": 38.0,
|
1720 |
"eval_Claim": {
|
1721 |
+
"f1-score": 0.6688368598973332,
|
1722 |
+
"precision": 0.6993977481015973,
|
1723 |
+
"recall": 0.6408349328214972,
|
1724 |
+
"support": 4168.0
|
1725 |
},
|
1726 |
"eval_MajorClaim": {
|
1727 |
+
"f1-score": 0.9244361776331085,
|
1728 |
+
"precision": 0.9250814332247557,
|
1729 |
+
"recall": 0.9237918215613383,
|
1730 |
+
"support": 2152.0
|
1731 |
},
|
1732 |
"eval_O": {
|
1733 |
+
"f1-score": 1.0,
|
1734 |
+
"precision": 1.0,
|
1735 |
+
"recall": 1.0,
|
1736 |
+
"support": 11312.0
|
1737 |
},
|
1738 |
"eval_Premise": {
|
1739 |
+
"f1-score": 0.9031757694505674,
|
1740 |
+
"precision": 0.8903822937625755,
|
1741 |
+
"recall": 0.9163422513045639,
|
1742 |
+
"support": 12073.0
|
1743 |
},
|
1744 |
+
"eval_accuracy": 0.9100824776973574,
|
1745 |
+
"eval_loss": 0.757270336151123,
|
1746 |
"eval_macro avg": {
|
1747 |
+
"f1-score": 0.8741122017452523,
|
1748 |
+
"precision": 0.8787153687722321,
|
1749 |
+
"recall": 0.8702422514218499,
|
1750 |
+
"support": 29705.0
|
1751 |
+
},
|
1752 |
+
"eval_runtime": 4.7997,
|
1753 |
+
"eval_samples_per_second": 16.668,
|
1754 |
+
"eval_steps_per_second": 2.083,
|
1755 |
"eval_weighted avg": {
|
1756 |
+
"f1-score": 0.9087069433056804,
|
1757 |
+
"precision": 0.9078421306508232,
|
1758 |
+
"recall": 0.9100824776973574,
|
1759 |
+
"support": 29705.0
|
1760 |
},
|
1761 |
"step": 3078
|
1762 |
}
|
|
|
1766 |
"num_input_tokens_seen": 0,
|
1767 |
"num_train_epochs": 50,
|
1768 |
"save_steps": 500,
|
1769 |
+
"total_flos": 5463971843618400.0,
|
1770 |
"train_batch_size": 4,
|
1771 |
"trial_name": null,
|
1772 |
"trial_params": null
|
checkpoint-3078/training_args.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 4856
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:6c4152f1ae85467509d6d1bf2d3b859abf08e786a1c118f9c84f899edc2df5d1
|
3 |
size 4856
|