Theoreticallyhugo
commited on
Commit
•
d22008d
1
Parent(s):
2fd9755
Training in progress, epoch 16, checkpoint
Browse files
checkpoint-1296/model.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 592330980
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:83449eb088626c074763989fc174c96ec22f925f6640181d50c218dc4d2b2630
|
3 |
size 592330980
|
checkpoint-1296/optimizer.pt
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 1014670074
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:cf6f60b00b46301120d4742ec62c4d6be4554d83558345e9e2f8edbe1ee16a7e
|
3 |
size 1014670074
|
checkpoint-1296/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 sha256:59db0ed55574ed3ea0e40aa442c9d9e535333e11d1299a293e3e03d5b4b6e95b
|
3 |
size 14244
|
checkpoint-1296/trainer_state.json
CHANGED
@@ -11,1022 +11,1022 @@
|
|
11 |
{
|
12 |
"epoch": 1.0,
|
13 |
"eval_B-Claim": {
|
14 |
-
"f1-score": 0.
|
15 |
-
"precision": 0.
|
16 |
-
"recall": 0.
|
17 |
-
"support":
|
18 |
},
|
19 |
"eval_B-MajorClaim": {
|
20 |
-
"f1-score": 0.
|
21 |
-
"precision": 0
|
22 |
-
"recall": 0.
|
23 |
-
"support":
|
24 |
},
|
25 |
"eval_B-Premise": {
|
26 |
-
"f1-score": 0.
|
27 |
-
"precision": 0.
|
28 |
-
"recall": 0.
|
29 |
-
"support":
|
30 |
},
|
31 |
"eval_I-Claim": {
|
32 |
-
"f1-score": 0.
|
33 |
-
"precision": 0.
|
34 |
-
"recall": 0.
|
35 |
-
"support":
|
36 |
},
|
37 |
"eval_I-MajorClaim": {
|
38 |
-
"f1-score": 0.
|
39 |
-
"precision": 0.
|
40 |
-
"recall": 0.
|
41 |
-
"support":
|
42 |
},
|
43 |
"eval_I-Premise": {
|
44 |
-
"f1-score": 0.
|
45 |
-
"precision": 0.
|
46 |
-
"recall": 0.
|
47 |
-
"support":
|
48 |
},
|
49 |
"eval_O": {
|
50 |
-
"f1-score": 0.
|
51 |
-
"precision": 0.
|
52 |
-
"recall": 0.
|
53 |
-
"support":
|
54 |
},
|
55 |
-
"eval_accuracy": 0.
|
56 |
-
"eval_loss": 0.
|
57 |
"eval_macro avg": {
|
58 |
-
"f1-score": 0.
|
59 |
-
"precision": 0.
|
60 |
-
"recall": 0.
|
61 |
-
"support":
|
62 |
-
},
|
63 |
-
"eval_runtime":
|
64 |
-
"eval_samples_per_second": 16.
|
65 |
-
"eval_steps_per_second": 2.
|
66 |
"eval_weighted avg": {
|
67 |
-
"f1-score": 0.
|
68 |
-
"precision": 0.
|
69 |
-
"recall": 0.
|
70 |
-
"support":
|
71 |
},
|
72 |
"step": 81
|
73 |
},
|
74 |
{
|
75 |
"epoch": 2.0,
|
76 |
"eval_B-Claim": {
|
77 |
-
"f1-score": 0.
|
78 |
-
"precision": 0.
|
79 |
-
"recall": 0.
|
80 |
-
"support":
|
81 |
},
|
82 |
"eval_B-MajorClaim": {
|
83 |
-
"f1-score": 0.
|
84 |
-
"precision": 0.
|
85 |
-
"recall": 0.
|
86 |
-
"support":
|
87 |
},
|
88 |
"eval_B-Premise": {
|
89 |
-
"f1-score": 0.
|
90 |
-
"precision": 0.
|
91 |
-
"recall": 0.
|
92 |
-
"support":
|
93 |
},
|
94 |
"eval_I-Claim": {
|
95 |
-
"f1-score": 0.
|
96 |
-
"precision": 0.
|
97 |
-
"recall": 0.
|
98 |
-
"support":
|
99 |
},
|
100 |
"eval_I-MajorClaim": {
|
101 |
-
"f1-score": 0.
|
102 |
-
"precision": 0.
|
103 |
-
"recall": 0.
|
104 |
-
"support":
|
105 |
},
|
106 |
"eval_I-Premise": {
|
107 |
-
"f1-score": 0.
|
108 |
-
"precision": 0.
|
109 |
-
"recall": 0.
|
110 |
-
"support":
|
111 |
},
|
112 |
"eval_O": {
|
113 |
-
"f1-score": 0.
|
114 |
-
"precision": 0.
|
115 |
-
"recall": 0.
|
116 |
-
"support":
|
117 |
},
|
118 |
-
"eval_accuracy": 0.
|
119 |
-
"eval_loss": 0.
|
120 |
"eval_macro avg": {
|
121 |
-
"f1-score": 0.
|
122 |
-
"precision": 0.
|
123 |
-
"recall": 0.
|
124 |
-
"support":
|
125 |
-
},
|
126 |
-
"eval_runtime":
|
127 |
-
"eval_samples_per_second": 16.
|
128 |
-
"eval_steps_per_second": 2.
|
129 |
"eval_weighted avg": {
|
130 |
-
"f1-score": 0.
|
131 |
-
"precision": 0.
|
132 |
-
"recall": 0.
|
133 |
-
"support":
|
134 |
},
|
135 |
"step": 162
|
136 |
},
|
137 |
{
|
138 |
"epoch": 3.0,
|
139 |
"eval_B-Claim": {
|
140 |
-
"f1-score": 0.
|
141 |
-
"precision": 0.
|
142 |
-
"recall": 0.
|
143 |
-
"support":
|
144 |
},
|
145 |
"eval_B-MajorClaim": {
|
146 |
-
"f1-score": 0.
|
147 |
-
"precision": 0.
|
148 |
-
"recall": 0.
|
149 |
-
"support":
|
150 |
},
|
151 |
"eval_B-Premise": {
|
152 |
-
"f1-score": 0.
|
153 |
-
"precision": 0.
|
154 |
-
"recall": 0.
|
155 |
-
"support":
|
156 |
},
|
157 |
"eval_I-Claim": {
|
158 |
-
"f1-score": 0.
|
159 |
-
"precision": 0.
|
160 |
-
"recall": 0.
|
161 |
-
"support":
|
162 |
},
|
163 |
"eval_I-MajorClaim": {
|
164 |
-
"f1-score": 0.
|
165 |
-
"precision": 0.
|
166 |
-
"recall": 0.
|
167 |
-
"support":
|
168 |
},
|
169 |
"eval_I-Premise": {
|
170 |
-
"f1-score": 0.
|
171 |
-
"precision": 0.
|
172 |
-
"recall": 0.
|
173 |
-
"support":
|
174 |
},
|
175 |
"eval_O": {
|
176 |
-
"f1-score": 0.
|
177 |
-
"precision": 0.
|
178 |
-
"recall": 0.
|
179 |
-
"support":
|
180 |
},
|
181 |
-
"eval_accuracy": 0.
|
182 |
-
"eval_loss": 0.
|
183 |
"eval_macro avg": {
|
184 |
-
"f1-score": 0.
|
185 |
-
"precision": 0.
|
186 |
-
"recall": 0.
|
187 |
-
"support":
|
188 |
-
},
|
189 |
-
"eval_runtime":
|
190 |
-
"eval_samples_per_second":
|
191 |
-
"eval_steps_per_second": 2.
|
192 |
"eval_weighted avg": {
|
193 |
-
"f1-score": 0.
|
194 |
-
"precision": 0.
|
195 |
-
"recall": 0.
|
196 |
-
"support":
|
197 |
},
|
198 |
"step": 243
|
199 |
},
|
200 |
{
|
201 |
"epoch": 4.0,
|
202 |
"eval_B-Claim": {
|
203 |
-
"f1-score": 0.
|
204 |
-
"precision": 0.
|
205 |
-
"recall": 0.
|
206 |
-
"support":
|
207 |
},
|
208 |
"eval_B-MajorClaim": {
|
209 |
-
"f1-score": 0.
|
210 |
-
"precision": 0.
|
211 |
-
"recall": 0.
|
212 |
-
"support":
|
213 |
},
|
214 |
"eval_B-Premise": {
|
215 |
-
"f1-score": 0.
|
216 |
-
"precision": 0.
|
217 |
-
"recall": 0.
|
218 |
-
"support":
|
219 |
},
|
220 |
"eval_I-Claim": {
|
221 |
-
"f1-score": 0.
|
222 |
-
"precision": 0.
|
223 |
-
"recall": 0.
|
224 |
-
"support":
|
225 |
},
|
226 |
"eval_I-MajorClaim": {
|
227 |
-
"f1-score": 0.
|
228 |
-
"precision": 0.
|
229 |
-
"recall": 0.
|
230 |
-
"support":
|
231 |
},
|
232 |
"eval_I-Premise": {
|
233 |
-
"f1-score": 0.
|
234 |
-
"precision": 0.
|
235 |
-
"recall": 0.
|
236 |
-
"support":
|
237 |
},
|
238 |
"eval_O": {
|
239 |
-
"f1-score": 0.
|
240 |
-
"precision": 0.
|
241 |
-
"recall": 0.
|
242 |
-
"support":
|
243 |
},
|
244 |
-
"eval_accuracy": 0.
|
245 |
-
"eval_loss": 0.
|
246 |
"eval_macro avg": {
|
247 |
-
"f1-score": 0.
|
248 |
-
"precision": 0.
|
249 |
-
"recall": 0.
|
250 |
-
"support":
|
251 |
-
},
|
252 |
-
"eval_runtime":
|
253 |
-
"eval_samples_per_second": 16.
|
254 |
-
"eval_steps_per_second": 2.
|
255 |
"eval_weighted avg": {
|
256 |
-
"f1-score": 0.
|
257 |
-
"precision": 0.
|
258 |
-
"recall": 0.
|
259 |
-
"support":
|
260 |
},
|
261 |
"step": 324
|
262 |
},
|
263 |
{
|
264 |
"epoch": 5.0,
|
265 |
"eval_B-Claim": {
|
266 |
-
"f1-score": 0.
|
267 |
-
"precision": 0.
|
268 |
-
"recall": 0.
|
269 |
-
"support":
|
270 |
},
|
271 |
"eval_B-MajorClaim": {
|
272 |
-
"f1-score": 0.
|
273 |
-
"precision": 0.
|
274 |
-
"recall": 0.
|
275 |
-
"support":
|
276 |
},
|
277 |
"eval_B-Premise": {
|
278 |
-
"f1-score": 0.
|
279 |
-
"precision": 0.
|
280 |
-
"recall": 0.
|
281 |
-
"support":
|
282 |
},
|
283 |
"eval_I-Claim": {
|
284 |
-
"f1-score": 0.
|
285 |
-
"precision": 0.
|
286 |
-
"recall": 0.
|
287 |
-
"support":
|
288 |
},
|
289 |
"eval_I-MajorClaim": {
|
290 |
-
"f1-score": 0.
|
291 |
-
"precision": 0.
|
292 |
-
"recall": 0.
|
293 |
-
"support":
|
294 |
},
|
295 |
"eval_I-Premise": {
|
296 |
-
"f1-score": 0.
|
297 |
-
"precision": 0.
|
298 |
-
"recall": 0.
|
299 |
-
"support":
|
300 |
},
|
301 |
"eval_O": {
|
302 |
-
"f1-score": 0.
|
303 |
-
"precision":
|
304 |
-
"recall": 0.
|
305 |
-
"support":
|
306 |
},
|
307 |
-
"eval_accuracy": 0.
|
308 |
-
"eval_loss": 0.
|
309 |
"eval_macro avg": {
|
310 |
-
"f1-score": 0.
|
311 |
-
"precision": 0.
|
312 |
-
"recall": 0.
|
313 |
-
"support":
|
314 |
-
},
|
315 |
-
"eval_runtime":
|
316 |
-
"eval_samples_per_second":
|
317 |
-
"eval_steps_per_second": 2.
|
318 |
"eval_weighted avg": {
|
319 |
-
"f1-score": 0.
|
320 |
-
"precision": 0.
|
321 |
-
"recall": 0.
|
322 |
-
"support":
|
323 |
},
|
324 |
"step": 405
|
325 |
},
|
326 |
{
|
327 |
"epoch": 6.0,
|
328 |
"eval_B-Claim": {
|
329 |
-
"f1-score": 0.
|
330 |
-
"precision": 0.
|
331 |
-
"recall": 0.
|
332 |
-
"support":
|
333 |
},
|
334 |
"eval_B-MajorClaim": {
|
335 |
-
"f1-score": 0.
|
336 |
-
"precision": 0.
|
337 |
-
"recall": 0.
|
338 |
-
"support":
|
339 |
},
|
340 |
"eval_B-Premise": {
|
341 |
-
"f1-score": 0.
|
342 |
-
"precision": 0.
|
343 |
-
"recall": 0.
|
344 |
-
"support":
|
345 |
},
|
346 |
"eval_I-Claim": {
|
347 |
-
"f1-score": 0.
|
348 |
-
"precision": 0.
|
349 |
-
"recall": 0.
|
350 |
-
"support":
|
351 |
},
|
352 |
"eval_I-MajorClaim": {
|
353 |
-
"f1-score": 0.
|
354 |
-
"precision": 0.
|
355 |
-
"recall": 0.
|
356 |
-
"support":
|
357 |
},
|
358 |
"eval_I-Premise": {
|
359 |
-
"f1-score": 0.
|
360 |
-
"precision": 0.
|
361 |
-
"recall": 0.
|
362 |
-
"support":
|
363 |
},
|
364 |
"eval_O": {
|
365 |
-
"f1-score": 0.
|
366 |
-
"precision":
|
367 |
-
"recall": 0.
|
368 |
-
"support":
|
369 |
},
|
370 |
-
"eval_accuracy": 0.
|
371 |
-
"eval_loss": 0.
|
372 |
"eval_macro avg": {
|
373 |
-
"f1-score": 0.
|
374 |
-
"precision": 0.
|
375 |
-
"recall": 0.
|
376 |
-
"support":
|
377 |
-
},
|
378 |
-
"eval_runtime":
|
379 |
-
"eval_samples_per_second":
|
380 |
-
"eval_steps_per_second": 2.
|
381 |
"eval_weighted avg": {
|
382 |
-
"f1-score": 0.
|
383 |
-
"precision": 0.
|
384 |
-
"recall": 0.
|
385 |
-
"support":
|
386 |
},
|
387 |
"step": 486
|
388 |
},
|
389 |
{
|
390 |
"epoch": 6.17,
|
391 |
-
"grad_norm":
|
392 |
"learning_rate": 1.7530864197530865e-05,
|
393 |
-
"loss": 0.
|
394 |
"step": 500
|
395 |
},
|
396 |
{
|
397 |
"epoch": 7.0,
|
398 |
"eval_B-Claim": {
|
399 |
-
"f1-score": 0.
|
400 |
-
"precision": 0.
|
401 |
-
"recall": 0.
|
402 |
-
"support":
|
403 |
},
|
404 |
"eval_B-MajorClaim": {
|
405 |
-
"f1-score": 0.
|
406 |
-
"precision": 0.
|
407 |
-
"recall": 0.
|
408 |
-
"support":
|
409 |
},
|
410 |
"eval_B-Premise": {
|
411 |
-
"f1-score": 0.
|
412 |
-
"precision": 0.
|
413 |
-
"recall": 0.
|
414 |
-
"support":
|
415 |
},
|
416 |
"eval_I-Claim": {
|
417 |
-
"f1-score": 0.
|
418 |
-
"precision": 0.
|
419 |
-
"recall": 0.
|
420 |
-
"support":
|
421 |
},
|
422 |
"eval_I-MajorClaim": {
|
423 |
-
"f1-score": 0.
|
424 |
-
"precision": 0.
|
425 |
-
"recall": 0.
|
426 |
-
"support":
|
427 |
},
|
428 |
"eval_I-Premise": {
|
429 |
-
"f1-score": 0.
|
430 |
-
"precision": 0.
|
431 |
-
"recall": 0.
|
432 |
-
"support":
|
433 |
},
|
434 |
"eval_O": {
|
435 |
-
"f1-score": 0.
|
436 |
"precision": 1.0,
|
437 |
-
"recall": 0.
|
438 |
-
"support":
|
439 |
},
|
440 |
-
"eval_accuracy": 0.
|
441 |
-
"eval_loss": 0.
|
442 |
"eval_macro avg": {
|
443 |
-
"f1-score": 0.
|
444 |
-
"precision": 0.
|
445 |
-
"recall": 0.
|
446 |
-
"support":
|
447 |
-
},
|
448 |
-
"eval_runtime":
|
449 |
-
"eval_samples_per_second": 16.
|
450 |
-
"eval_steps_per_second": 2.
|
451 |
"eval_weighted avg": {
|
452 |
-
"f1-score": 0.
|
453 |
-
"precision": 0.
|
454 |
-
"recall": 0.
|
455 |
-
"support":
|
456 |
},
|
457 |
"step": 567
|
458 |
},
|
459 |
{
|
460 |
"epoch": 8.0,
|
461 |
"eval_B-Claim": {
|
462 |
-
"f1-score": 0.
|
463 |
-
"precision": 0.
|
464 |
-
"recall": 0.
|
465 |
-
"support":
|
466 |
},
|
467 |
"eval_B-MajorClaim": {
|
468 |
-
"f1-score": 0.
|
469 |
-
"precision": 0.
|
470 |
-
"recall": 0.
|
471 |
-
"support":
|
472 |
},
|
473 |
"eval_B-Premise": {
|
474 |
-
"f1-score": 0.
|
475 |
-
"precision": 0.
|
476 |
-
"recall": 0.
|
477 |
-
"support":
|
478 |
},
|
479 |
"eval_I-Claim": {
|
480 |
-
"f1-score": 0.
|
481 |
-
"precision": 0.
|
482 |
-
"recall": 0.
|
483 |
-
"support":
|
484 |
},
|
485 |
"eval_I-MajorClaim": {
|
486 |
-
"f1-score": 0.
|
487 |
-
"precision": 0.
|
488 |
-
"recall": 0.
|
489 |
-
"support":
|
490 |
},
|
491 |
"eval_I-Premise": {
|
492 |
-
"f1-score": 0.
|
493 |
-
"precision": 0.
|
494 |
-
"recall": 0.
|
495 |
-
"support":
|
496 |
},
|
497 |
"eval_O": {
|
498 |
-
"f1-score": 0.
|
499 |
-
"precision": 0.
|
500 |
-
"recall": 0.
|
501 |
-
"support":
|
502 |
},
|
503 |
-
"eval_accuracy": 0.
|
504 |
-
"eval_loss": 0.
|
505 |
"eval_macro avg": {
|
506 |
-
"f1-score": 0.
|
507 |
-
"precision": 0.
|
508 |
-
"recall": 0.
|
509 |
-
"support":
|
510 |
-
},
|
511 |
-
"eval_runtime":
|
512 |
-
"eval_samples_per_second":
|
513 |
-
"eval_steps_per_second": 2.
|
514 |
"eval_weighted avg": {
|
515 |
-
"f1-score": 0.
|
516 |
-
"precision": 0.
|
517 |
-
"recall": 0.
|
518 |
-
"support":
|
519 |
},
|
520 |
"step": 648
|
521 |
},
|
522 |
{
|
523 |
"epoch": 9.0,
|
524 |
"eval_B-Claim": {
|
525 |
-
"f1-score": 0.
|
526 |
-
"precision": 0.
|
527 |
-
"recall": 0.
|
528 |
-
"support":
|
529 |
},
|
530 |
"eval_B-MajorClaim": {
|
531 |
-
"f1-score": 0.
|
532 |
-
"precision": 0.
|
533 |
-
"recall": 0.
|
534 |
-
"support":
|
535 |
},
|
536 |
"eval_B-Premise": {
|
537 |
-
"f1-score": 0.
|
538 |
-
"precision": 0.
|
539 |
-
"recall": 0.
|
540 |
-
"support":
|
541 |
},
|
542 |
"eval_I-Claim": {
|
543 |
-
"f1-score": 0.
|
544 |
-
"precision": 0.
|
545 |
-
"recall": 0.
|
546 |
-
"support":
|
547 |
},
|
548 |
"eval_I-MajorClaim": {
|
549 |
-
"f1-score": 0.
|
550 |
-
"precision": 0.
|
551 |
-
"recall": 0.
|
552 |
-
"support":
|
553 |
},
|
554 |
"eval_I-Premise": {
|
555 |
-
"f1-score": 0.
|
556 |
-
"precision": 0.
|
557 |
-
"recall": 0.
|
558 |
-
"support":
|
559 |
},
|
560 |
"eval_O": {
|
561 |
-
"f1-score": 0.
|
562 |
-
"precision": 0.
|
563 |
-
"recall": 0.
|
564 |
-
"support":
|
565 |
},
|
566 |
-
"eval_accuracy": 0.
|
567 |
-
"eval_loss": 0.
|
568 |
"eval_macro avg": {
|
569 |
-
"f1-score": 0.
|
570 |
-
"precision": 0.
|
571 |
-
"recall": 0.
|
572 |
-
"support":
|
573 |
-
},
|
574 |
-
"eval_runtime":
|
575 |
-
"eval_samples_per_second":
|
576 |
-
"eval_steps_per_second": 2.
|
577 |
"eval_weighted avg": {
|
578 |
-
"f1-score": 0.
|
579 |
-
"precision": 0.
|
580 |
-
"recall": 0.
|
581 |
-
"support":
|
582 |
},
|
583 |
"step": 729
|
584 |
},
|
585 |
{
|
586 |
"epoch": 10.0,
|
587 |
"eval_B-Claim": {
|
588 |
-
"f1-score": 0.
|
589 |
-
"precision": 0.
|
590 |
-
"recall": 0.
|
591 |
-
"support":
|
592 |
},
|
593 |
"eval_B-MajorClaim": {
|
594 |
-
"f1-score": 0.
|
595 |
-
"precision": 0.
|
596 |
-
"recall": 0.
|
597 |
-
"support":
|
598 |
},
|
599 |
"eval_B-Premise": {
|
600 |
-
"f1-score": 0.
|
601 |
-
"precision": 0.
|
602 |
-
"recall": 0.
|
603 |
-
"support":
|
604 |
},
|
605 |
"eval_I-Claim": {
|
606 |
-
"f1-score": 0.
|
607 |
-
"precision": 0.
|
608 |
-
"recall": 0.
|
609 |
-
"support":
|
610 |
},
|
611 |
"eval_I-MajorClaim": {
|
612 |
-
"f1-score": 0.
|
613 |
-
"precision": 0.
|
614 |
-
"recall": 0.
|
615 |
-
"support":
|
616 |
},
|
617 |
"eval_I-Premise": {
|
618 |
-
"f1-score": 0.
|
619 |
-
"precision": 0.
|
620 |
-
"recall": 0.
|
621 |
-
"support":
|
622 |
},
|
623 |
"eval_O": {
|
624 |
-
"f1-score": 0.
|
625 |
-
"precision": 0
|
626 |
-
"recall": 0.
|
627 |
-
"support":
|
628 |
},
|
629 |
-
"eval_accuracy": 0.
|
630 |
-
"eval_loss": 0.
|
631 |
"eval_macro avg": {
|
632 |
-
"f1-score": 0.
|
633 |
-
"precision": 0.
|
634 |
-
"recall": 0.
|
635 |
-
"support":
|
636 |
-
},
|
637 |
-
"eval_runtime":
|
638 |
-
"eval_samples_per_second":
|
639 |
-
"eval_steps_per_second": 2.
|
640 |
"eval_weighted avg": {
|
641 |
-
"f1-score": 0.
|
642 |
-
"precision": 0.
|
643 |
-
"recall": 0.
|
644 |
-
"support":
|
645 |
},
|
646 |
"step": 810
|
647 |
},
|
648 |
{
|
649 |
"epoch": 11.0,
|
650 |
"eval_B-Claim": {
|
651 |
-
"f1-score": 0.
|
652 |
-
"precision": 0.
|
653 |
-
"recall": 0.
|
654 |
-
"support":
|
655 |
},
|
656 |
"eval_B-MajorClaim": {
|
657 |
-
"f1-score": 0.
|
658 |
-
"precision": 0.
|
659 |
-
"recall": 0.
|
660 |
-
"support":
|
661 |
},
|
662 |
"eval_B-Premise": {
|
663 |
-
"f1-score": 0.
|
664 |
-
"precision": 0.
|
665 |
-
"recall": 0.
|
666 |
-
"support":
|
667 |
},
|
668 |
"eval_I-Claim": {
|
669 |
-
"f1-score": 0.
|
670 |
-
"precision": 0.
|
671 |
-
"recall": 0.
|
672 |
-
"support":
|
673 |
},
|
674 |
"eval_I-MajorClaim": {
|
675 |
-
"f1-score": 0.
|
676 |
-
"precision": 0.
|
677 |
-
"recall": 0.
|
678 |
-
"support":
|
679 |
},
|
680 |
"eval_I-Premise": {
|
681 |
-
"f1-score": 0.
|
682 |
-
"precision": 0.
|
683 |
-
"recall": 0.
|
684 |
-
"support":
|
685 |
},
|
686 |
"eval_O": {
|
687 |
-
"f1-score": 0.
|
688 |
-
"precision": 0
|
689 |
-
"recall": 0.
|
690 |
-
"support":
|
691 |
},
|
692 |
-
"eval_accuracy": 0.
|
693 |
-
"eval_loss": 0.
|
694 |
"eval_macro avg": {
|
695 |
-
"f1-score": 0.
|
696 |
-
"precision": 0.
|
697 |
-
"recall": 0.
|
698 |
-
"support":
|
699 |
-
},
|
700 |
-
"eval_runtime":
|
701 |
-
"eval_samples_per_second":
|
702 |
-
"eval_steps_per_second": 2.
|
703 |
"eval_weighted avg": {
|
704 |
-
"f1-score": 0.
|
705 |
-
"precision": 0.
|
706 |
-
"recall": 0.
|
707 |
-
"support":
|
708 |
},
|
709 |
"step": 891
|
710 |
},
|
711 |
{
|
712 |
"epoch": 12.0,
|
713 |
"eval_B-Claim": {
|
714 |
-
"f1-score": 0.
|
715 |
-
"precision": 0.
|
716 |
-
"recall": 0.
|
717 |
-
"support":
|
718 |
},
|
719 |
"eval_B-MajorClaim": {
|
720 |
-
"f1-score": 0.
|
721 |
-
"precision": 0.
|
722 |
-
"recall": 0.
|
723 |
-
"support":
|
724 |
},
|
725 |
"eval_B-Premise": {
|
726 |
-
"f1-score": 0.
|
727 |
-
"precision": 0.
|
728 |
-
"recall": 0.
|
729 |
-
"support":
|
730 |
},
|
731 |
"eval_I-Claim": {
|
732 |
-
"f1-score": 0.
|
733 |
-
"precision": 0.
|
734 |
-
"recall": 0.
|
735 |
-
"support":
|
736 |
},
|
737 |
"eval_I-MajorClaim": {
|
738 |
-
"f1-score": 0.
|
739 |
-
"precision": 0.
|
740 |
-
"recall": 0.
|
741 |
-
"support":
|
742 |
},
|
743 |
"eval_I-Premise": {
|
744 |
-
"f1-score": 0.
|
745 |
-
"precision": 0.
|
746 |
-
"recall": 0.
|
747 |
-
"support":
|
748 |
},
|
749 |
"eval_O": {
|
750 |
-
"f1-score": 0.
|
751 |
-
"precision":
|
752 |
-
"recall": 0.
|
753 |
-
"support":
|
754 |
},
|
755 |
-
"eval_accuracy": 0.
|
756 |
-
"eval_loss": 0.
|
757 |
"eval_macro avg": {
|
758 |
-
"f1-score": 0.
|
759 |
-
"precision": 0.
|
760 |
-
"recall": 0.
|
761 |
-
"support":
|
762 |
-
},
|
763 |
-
"eval_runtime":
|
764 |
-
"eval_samples_per_second": 16.
|
765 |
-
"eval_steps_per_second": 2.
|
766 |
"eval_weighted avg": {
|
767 |
-
"f1-score": 0.
|
768 |
-
"precision": 0.
|
769 |
-
"recall": 0.
|
770 |
-
"support":
|
771 |
},
|
772 |
"step": 972
|
773 |
},
|
774 |
{
|
775 |
"epoch": 12.35,
|
776 |
-
"grad_norm": 0.
|
777 |
"learning_rate": 1.506172839506173e-05,
|
778 |
-
"loss": 0.
|
779 |
"step": 1000
|
780 |
},
|
781 |
{
|
782 |
"epoch": 13.0,
|
783 |
"eval_B-Claim": {
|
784 |
-
"f1-score": 0.
|
785 |
-
"precision": 0.
|
786 |
-
"recall": 0.
|
787 |
-
"support":
|
788 |
},
|
789 |
"eval_B-MajorClaim": {
|
790 |
-
"f1-score": 0.
|
791 |
-
"precision": 0.
|
792 |
-
"recall": 0.
|
793 |
-
"support":
|
794 |
},
|
795 |
"eval_B-Premise": {
|
796 |
-
"f1-score": 0.
|
797 |
-
"precision": 0.
|
798 |
-
"recall": 0.
|
799 |
-
"support":
|
800 |
},
|
801 |
"eval_I-Claim": {
|
802 |
-
"f1-score": 0.
|
803 |
-
"precision": 0.
|
804 |
-
"recall": 0.
|
805 |
-
"support":
|
806 |
},
|
807 |
"eval_I-MajorClaim": {
|
808 |
-
"f1-score": 0.
|
809 |
-
"precision": 0.
|
810 |
-
"recall": 0.
|
811 |
-
"support":
|
812 |
},
|
813 |
"eval_I-Premise": {
|
814 |
-
"f1-score": 0.
|
815 |
-
"precision": 0.
|
816 |
-
"recall": 0.
|
817 |
-
"support":
|
818 |
},
|
819 |
"eval_O": {
|
820 |
-
"f1-score": 0.
|
821 |
"precision": 1.0,
|
822 |
-
"recall": 0.
|
823 |
-
"support":
|
824 |
},
|
825 |
-
"eval_accuracy": 0.
|
826 |
-
"eval_loss": 0.
|
827 |
"eval_macro avg": {
|
828 |
-
"f1-score": 0.
|
829 |
-
"precision": 0.
|
830 |
-
"recall": 0.
|
831 |
-
"support":
|
832 |
-
},
|
833 |
-
"eval_runtime":
|
834 |
-
"eval_samples_per_second": 16.
|
835 |
-
"eval_steps_per_second": 2.
|
836 |
"eval_weighted avg": {
|
837 |
-
"f1-score": 0.
|
838 |
-
"precision": 0.
|
839 |
-
"recall": 0.
|
840 |
-
"support":
|
841 |
},
|
842 |
"step": 1053
|
843 |
},
|
844 |
{
|
845 |
"epoch": 14.0,
|
846 |
"eval_B-Claim": {
|
847 |
-
"f1-score": 0.
|
848 |
-
"precision": 0.
|
849 |
-
"recall": 0.
|
850 |
-
"support":
|
851 |
},
|
852 |
"eval_B-MajorClaim": {
|
853 |
-
"f1-score": 0.
|
854 |
-
"precision": 0.
|
855 |
-
"recall": 0.
|
856 |
-
"support":
|
857 |
},
|
858 |
"eval_B-Premise": {
|
859 |
-
"f1-score": 0.
|
860 |
-
"precision": 0.
|
861 |
-
"recall": 0.
|
862 |
-
"support":
|
863 |
},
|
864 |
"eval_I-Claim": {
|
865 |
-
"f1-score": 0.
|
866 |
-
"precision": 0.
|
867 |
-
"recall": 0.
|
868 |
-
"support":
|
869 |
},
|
870 |
"eval_I-MajorClaim": {
|
871 |
-
"f1-score": 0.
|
872 |
-
"precision": 0.
|
873 |
-
"recall": 0.
|
874 |
-
"support":
|
875 |
},
|
876 |
"eval_I-Premise": {
|
877 |
-
"f1-score": 0.
|
878 |
-
"precision": 0.
|
879 |
-
"recall": 0.
|
880 |
-
"support":
|
881 |
},
|
882 |
"eval_O": {
|
883 |
-
"f1-score": 0.
|
884 |
"precision": 1.0,
|
885 |
-
"recall": 0.
|
886 |
-
"support":
|
887 |
},
|
888 |
-
"eval_accuracy": 0.
|
889 |
-
"eval_loss": 0.
|
890 |
"eval_macro avg": {
|
891 |
-
"f1-score": 0.
|
892 |
-
"precision": 0.
|
893 |
-
"recall": 0.
|
894 |
-
"support":
|
895 |
-
},
|
896 |
-
"eval_runtime":
|
897 |
-
"eval_samples_per_second": 16.
|
898 |
-
"eval_steps_per_second": 2.
|
899 |
"eval_weighted avg": {
|
900 |
-
"f1-score": 0.
|
901 |
-
"precision": 0.
|
902 |
-
"recall": 0.
|
903 |
-
"support":
|
904 |
},
|
905 |
"step": 1134
|
906 |
},
|
907 |
{
|
908 |
"epoch": 15.0,
|
909 |
"eval_B-Claim": {
|
910 |
-
"f1-score": 0.
|
911 |
-
"precision": 0.
|
912 |
-
"recall": 0.
|
913 |
-
"support":
|
914 |
},
|
915 |
"eval_B-MajorClaim": {
|
916 |
-
"f1-score": 0.
|
917 |
-
"precision": 0.
|
918 |
-
"recall": 0.
|
919 |
-
"support":
|
920 |
},
|
921 |
"eval_B-Premise": {
|
922 |
-
"f1-score": 0.
|
923 |
-
"precision": 0.
|
924 |
-
"recall": 0.
|
925 |
-
"support":
|
926 |
},
|
927 |
"eval_I-Claim": {
|
928 |
-
"f1-score": 0.
|
929 |
-
"precision": 0.
|
930 |
-
"recall": 0.
|
931 |
-
"support":
|
932 |
},
|
933 |
"eval_I-MajorClaim": {
|
934 |
-
"f1-score": 0.
|
935 |
-
"precision": 0.
|
936 |
-
"recall": 0.
|
937 |
-
"support":
|
938 |
},
|
939 |
"eval_I-Premise": {
|
940 |
-
"f1-score": 0.
|
941 |
-
"precision": 0.
|
942 |
-
"recall": 0.
|
943 |
-
"support":
|
944 |
},
|
945 |
"eval_O": {
|
946 |
-
"f1-score": 0.
|
947 |
-
"precision": 0.
|
948 |
-
"recall": 0.
|
949 |
-
"support":
|
950 |
},
|
951 |
-
"eval_accuracy": 0.
|
952 |
-
"eval_loss": 0.
|
953 |
"eval_macro avg": {
|
954 |
-
"f1-score": 0.
|
955 |
-
"precision": 0.
|
956 |
-
"recall": 0.
|
957 |
-
"support":
|
958 |
-
},
|
959 |
-
"eval_runtime":
|
960 |
-
"eval_samples_per_second":
|
961 |
-
"eval_steps_per_second": 2.
|
962 |
"eval_weighted avg": {
|
963 |
-
"f1-score": 0.
|
964 |
-
"precision": 0.
|
965 |
-
"recall": 0.
|
966 |
-
"support":
|
967 |
},
|
968 |
"step": 1215
|
969 |
},
|
970 |
{
|
971 |
"epoch": 16.0,
|
972 |
"eval_B-Claim": {
|
973 |
-
"f1-score": 0.
|
974 |
-
"precision": 0.
|
975 |
-
"recall": 0.
|
976 |
-
"support":
|
977 |
},
|
978 |
"eval_B-MajorClaim": {
|
979 |
-
"f1-score": 0.
|
980 |
-
"precision": 0.
|
981 |
-
"recall": 0.
|
982 |
-
"support":
|
983 |
},
|
984 |
"eval_B-Premise": {
|
985 |
-
"f1-score": 0.
|
986 |
-
"precision": 0.
|
987 |
-
"recall": 0.
|
988 |
-
"support":
|
989 |
},
|
990 |
"eval_I-Claim": {
|
991 |
-
"f1-score": 0.
|
992 |
-
"precision": 0.
|
993 |
-
"recall": 0.
|
994 |
-
"support":
|
995 |
},
|
996 |
"eval_I-MajorClaim": {
|
997 |
-
"f1-score": 0.
|
998 |
-
"precision": 0.
|
999 |
-
"recall": 0.
|
1000 |
-
"support":
|
1001 |
},
|
1002 |
"eval_I-Premise": {
|
1003 |
-
"f1-score": 0.
|
1004 |
-
"precision": 0.
|
1005 |
-
"recall": 0.
|
1006 |
-
"support":
|
1007 |
},
|
1008 |
"eval_O": {
|
1009 |
-
"f1-score": 0.
|
1010 |
-
"precision":
|
1011 |
-
"recall": 0.
|
1012 |
-
"support":
|
1013 |
},
|
1014 |
-
"eval_accuracy": 0.
|
1015 |
-
"eval_loss": 0.
|
1016 |
"eval_macro avg": {
|
1017 |
-
"f1-score": 0.
|
1018 |
-
"precision": 0.
|
1019 |
-
"recall": 0.
|
1020 |
-
"support":
|
1021 |
-
},
|
1022 |
-
"eval_runtime":
|
1023 |
-
"eval_samples_per_second":
|
1024 |
-
"eval_steps_per_second": 2.
|
1025 |
"eval_weighted avg": {
|
1026 |
-
"f1-score": 0.
|
1027 |
-
"precision": 0.
|
1028 |
-
"recall": 0.
|
1029 |
-
"support":
|
1030 |
},
|
1031 |
"step": 1296
|
1032 |
}
|
@@ -1036,7 +1036,7 @@
|
|
1036 |
"num_input_tokens_seen": 0,
|
1037 |
"num_train_epochs": 50,
|
1038 |
"save_steps": 500,
|
1039 |
-
"total_flos":
|
1040 |
"train_batch_size": 4,
|
1041 |
"trial_name": null,
|
1042 |
"trial_params": null
|
|
|
11 |
{
|
12 |
"epoch": 1.0,
|
13 |
"eval_B-Claim": {
|
14 |
+
"f1-score": 0.17153996101364524,
|
15 |
+
"precision": 0.25287356321839083,
|
16 |
+
"recall": 0.12979351032448377,
|
17 |
+
"support": 339.0
|
18 |
},
|
19 |
"eval_B-MajorClaim": {
|
20 |
+
"f1-score": 0.08383233532934131,
|
21 |
+
"precision": 1.0,
|
22 |
+
"recall": 0.04375,
|
23 |
+
"support": 160.0
|
24 |
},
|
25 |
"eval_B-Premise": {
|
26 |
+
"f1-score": 0.8469620831429876,
|
27 |
+
"precision": 0.7427884615384616,
|
28 |
+
"recall": 0.9851222104144527,
|
29 |
+
"support": 941.0
|
30 |
},
|
31 |
"eval_I-Claim": {
|
32 |
+
"f1-score": 0.5420081967213116,
|
33 |
+
"precision": 0.6803858520900321,
|
34 |
+
"recall": 0.4504044274159217,
|
35 |
+
"support": 4698.0
|
36 |
},
|
37 |
"eval_I-MajorClaim": {
|
38 |
+
"f1-score": 0.8343351767251743,
|
39 |
+
"precision": 0.8141717503519474,
|
40 |
+
"recall": 0.8555226824457594,
|
41 |
+
"support": 2028.0
|
42 |
},
|
43 |
"eval_I-Premise": {
|
44 |
+
"f1-score": 0.9004323458767015,
|
45 |
+
"precision": 0.8590809093131264,
|
46 |
+
"recall": 0.9459659511472983,
|
47 |
+
"support": 14861.0
|
48 |
},
|
49 |
"eval_O": {
|
50 |
+
"f1-score": 0.9988389078242631,
|
51 |
+
"precision": 0.9991008541885209,
|
52 |
+
"recall": 0.9985770987793006,
|
53 |
+
"support": 13353.0
|
54 |
},
|
55 |
+
"eval_accuracy": 0.8856789444749863,
|
56 |
+
"eval_loss": 0.28347474336624146,
|
57 |
"eval_macro avg": {
|
58 |
+
"f1-score": 0.6254212866619178,
|
59 |
+
"precision": 0.76405734152864,
|
60 |
+
"recall": 0.629876554361031,
|
61 |
+
"support": 36380.0
|
62 |
+
},
|
63 |
+
"eval_runtime": 5.0448,
|
64 |
+
"eval_samples_per_second": 16.056,
|
65 |
+
"eval_steps_per_second": 2.18,
|
66 |
"eval_weighted avg": {
|
67 |
+
"f1-score": 0.8748148382495958,
|
68 |
+
"precision": 0.8768575102351055,
|
69 |
+
"recall": 0.8856789444749863,
|
70 |
+
"support": 36380.0
|
71 |
},
|
72 |
"step": 81
|
73 |
},
|
74 |
{
|
75 |
"epoch": 2.0,
|
76 |
"eval_B-Claim": {
|
77 |
+
"f1-score": 0.5137931034482759,
|
78 |
+
"precision": 0.6182572614107884,
|
79 |
+
"recall": 0.43952802359882004,
|
80 |
+
"support": 339.0
|
81 |
},
|
82 |
"eval_B-MajorClaim": {
|
83 |
+
"f1-score": 0.7622641509433963,
|
84 |
+
"precision": 0.9619047619047619,
|
85 |
+
"recall": 0.63125,
|
86 |
+
"support": 160.0
|
87 |
},
|
88 |
"eval_B-Premise": {
|
89 |
+
"f1-score": 0.8853910477127397,
|
90 |
+
"precision": 0.8241758241758241,
|
91 |
+
"recall": 0.9564293304994687,
|
92 |
+
"support": 941.0
|
93 |
},
|
94 |
"eval_I-Claim": {
|
95 |
+
"f1-score": 0.5413588470388762,
|
96 |
+
"precision": 0.6279853891542568,
|
97 |
+
"recall": 0.47573435504469985,
|
98 |
+
"support": 4698.0
|
99 |
},
|
100 |
"eval_I-MajorClaim": {
|
101 |
+
"f1-score": 0.7949260042283298,
|
102 |
+
"precision": 0.856492027334852,
|
103 |
+
"recall": 0.7416173570019724,
|
104 |
+
"support": 2028.0
|
105 |
},
|
106 |
"eval_I-Premise": {
|
107 |
+
"f1-score": 0.9007064868336545,
|
108 |
+
"precision": 0.8614779777627618,
|
109 |
+
"recall": 0.9436780835744566,
|
110 |
+
"support": 14861.0
|
111 |
},
|
112 |
"eval_O": {
|
113 |
+
"f1-score": 0.9988389947942025,
|
114 |
+
"precision": 0.9990260713215463,
|
115 |
+
"recall": 0.9986519883172321,
|
116 |
+
"support": 13353.0
|
117 |
},
|
118 |
+
"eval_accuracy": 0.8864211105002748,
|
119 |
+
"eval_loss": 0.2809496521949768,
|
120 |
"eval_macro avg": {
|
121 |
+
"f1-score": 0.7710398049999251,
|
122 |
+
"precision": 0.8213313304378275,
|
123 |
+
"recall": 0.7409841625766643,
|
124 |
+
"support": 36380.0
|
125 |
+
},
|
126 |
+
"eval_runtime": 5.0579,
|
127 |
+
"eval_samples_per_second": 16.014,
|
128 |
+
"eval_steps_per_second": 2.175,
|
129 |
"eval_weighted avg": {
|
130 |
+
"f1-score": 0.8798131143596267,
|
131 |
+
"precision": 0.8787439244541853,
|
132 |
+
"recall": 0.8864211105002748,
|
133 |
+
"support": 36380.0
|
134 |
},
|
135 |
"step": 162
|
136 |
},
|
137 |
{
|
138 |
"epoch": 3.0,
|
139 |
"eval_B-Claim": {
|
140 |
+
"f1-score": 0.6401137980085349,
|
141 |
+
"precision": 0.6181318681318682,
|
142 |
+
"recall": 0.6637168141592921,
|
143 |
+
"support": 339.0
|
144 |
},
|
145 |
"eval_B-MajorClaim": {
|
146 |
+
"f1-score": 0.7918781725888324,
|
147 |
+
"precision": 0.6666666666666666,
|
148 |
+
"recall": 0.975,
|
149 |
+
"support": 160.0
|
150 |
},
|
151 |
"eval_B-Premise": {
|
152 |
+
"f1-score": 0.8866442199775534,
|
153 |
+
"precision": 0.93935790725327,
|
154 |
+
"recall": 0.8395324123273114,
|
155 |
+
"support": 941.0
|
156 |
},
|
157 |
"eval_I-Claim": {
|
158 |
+
"f1-score": 0.6254390633315594,
|
159 |
+
"precision": 0.6255056418990845,
|
160 |
+
"recall": 0.6253724989357173,
|
161 |
+
"support": 4698.0
|
162 |
},
|
163 |
"eval_I-MajorClaim": {
|
164 |
+
"f1-score": 0.76480605487228,
|
165 |
+
"precision": 0.6205096714768191,
|
166 |
+
"recall": 0.9965483234714004,
|
167 |
+
"support": 2028.0
|
168 |
},
|
169 |
"eval_I-Premise": {
|
170 |
+
"f1-score": 0.9049205625504156,
|
171 |
+
"precision": 0.9449897450922942,
|
172 |
+
"recall": 0.868111163447951,
|
173 |
+
"support": 14861.0
|
174 |
},
|
175 |
"eval_O": {
|
176 |
+
"f1-score": 0.9988758992805756,
|
177 |
+
"precision": 0.9995500562429697,
|
178 |
+
"recall": 0.9982026510896428,
|
179 |
+
"support": 13353.0
|
180 |
},
|
181 |
+
"eval_accuracy": 0.8894997251236944,
|
182 |
+
"eval_loss": 0.318760484457016,
|
183 |
"eval_macro avg": {
|
184 |
+
"f1-score": 0.8018111100871074,
|
185 |
+
"precision": 0.7735302223947104,
|
186 |
+
"recall": 0.852354837633045,
|
187 |
+
"support": 36380.0
|
188 |
+
},
|
189 |
+
"eval_runtime": 5.0862,
|
190 |
+
"eval_samples_per_second": 15.925,
|
191 |
+
"eval_steps_per_second": 2.163,
|
192 |
"eval_weighted avg": {
|
193 |
+
"f1-score": 0.8920666591013163,
|
194 |
+
"precision": 0.9012548868310761,
|
195 |
+
"recall": 0.8894997251236944,
|
196 |
+
"support": 36380.0
|
197 |
},
|
198 |
"step": 243
|
199 |
},
|
200 |
{
|
201 |
"epoch": 4.0,
|
202 |
"eval_B-Claim": {
|
203 |
+
"f1-score": 0.7034883720930232,
|
204 |
+
"precision": 0.6934097421203438,
|
205 |
+
"recall": 0.7138643067846607,
|
206 |
+
"support": 339.0
|
207 |
},
|
208 |
"eval_B-MajorClaim": {
|
209 |
+
"f1-score": 0.8958990536277602,
|
210 |
+
"precision": 0.9044585987261147,
|
211 |
+
"recall": 0.8875,
|
212 |
+
"support": 160.0
|
213 |
},
|
214 |
"eval_B-Premise": {
|
215 |
+
"f1-score": 0.9051172707889126,
|
216 |
+
"precision": 0.9080213903743316,
|
217 |
+
"recall": 0.9022316684378321,
|
218 |
+
"support": 941.0
|
219 |
},
|
220 |
"eval_I-Claim": {
|
221 |
+
"f1-score": 0.6932699265998139,
|
222 |
+
"precision": 0.6739698492462312,
|
223 |
+
"recall": 0.7137079608343976,
|
224 |
+
"support": 4698.0
|
225 |
},
|
226 |
"eval_I-MajorClaim": {
|
227 |
+
"f1-score": 0.8904009720534629,
|
228 |
+
"precision": 0.877815045519885,
|
229 |
+
"recall": 0.903353057199211,
|
230 |
+
"support": 2028.0
|
231 |
},
|
232 |
"eval_I-Premise": {
|
233 |
+
"f1-score": 0.9127480293558032,
|
234 |
+
"precision": 0.9218310342461052,
|
235 |
+
"recall": 0.9038422717179194,
|
236 |
+
"support": 14861.0
|
237 |
},
|
238 |
"eval_O": {
|
239 |
+
"f1-score": 0.9981619715668254,
|
240 |
+
"precision": 0.9999248459341651,
|
241 |
+
"recall": 0.9964053021792856,
|
242 |
+
"support": 13353.0
|
243 |
},
|
244 |
+
"eval_accuracy": 0.9113523914238593,
|
245 |
+
"eval_loss": 0.2517726719379425,
|
246 |
"eval_macro avg": {
|
247 |
+
"f1-score": 0.8570122280122289,
|
248 |
+
"precision": 0.8542043580238825,
|
249 |
+
"recall": 0.8601292238790438,
|
250 |
+
"support": 36380.0
|
251 |
+
},
|
252 |
+
"eval_runtime": 5.062,
|
253 |
+
"eval_samples_per_second": 16.002,
|
254 |
+
"eval_steps_per_second": 2.173,
|
255 |
"eval_weighted avg": {
|
256 |
+
"f1-score": 0.9122886837716081,
|
257 |
+
"precision": 0.9134709768686261,
|
258 |
+
"recall": 0.9113523914238593,
|
259 |
+
"support": 36380.0
|
260 |
},
|
261 |
"step": 324
|
262 |
},
|
263 |
{
|
264 |
"epoch": 5.0,
|
265 |
"eval_B-Claim": {
|
266 |
+
"f1-score": 0.6590538336052201,
|
267 |
+
"precision": 0.7372262773722628,
|
268 |
+
"recall": 0.5958702064896755,
|
269 |
+
"support": 339.0
|
270 |
},
|
271 |
"eval_B-MajorClaim": {
|
272 |
+
"f1-score": 0.9078947368421054,
|
273 |
+
"precision": 0.9583333333333334,
|
274 |
+
"recall": 0.8625,
|
275 |
+
"support": 160.0
|
276 |
},
|
277 |
"eval_B-Premise": {
|
278 |
+
"f1-score": 0.9066802651708312,
|
279 |
+
"precision": 0.8715686274509804,
|
280 |
+
"recall": 0.944739638682253,
|
281 |
+
"support": 941.0
|
282 |
},
|
283 |
"eval_I-Claim": {
|
284 |
+
"f1-score": 0.6513589503280225,
|
285 |
+
"precision": 0.7243355914538823,
|
286 |
+
"recall": 0.5917411664538101,
|
287 |
+
"support": 4698.0
|
288 |
},
|
289 |
"eval_I-MajorClaim": {
|
290 |
+
"f1-score": 0.8981975120588981,
|
291 |
+
"precision": 0.9256933542647828,
|
292 |
+
"recall": 0.8722879684418146,
|
293 |
+
"support": 2028.0
|
294 |
},
|
295 |
"eval_I-Premise": {
|
296 |
+
"f1-score": 0.9158848058378942,
|
297 |
+
"precision": 0.8877170824123777,
|
298 |
+
"recall": 0.9458986609245676,
|
299 |
+
"support": 14861.0
|
300 |
},
|
301 |
"eval_O": {
|
302 |
+
"f1-score": 0.9994384336041331,
|
303 |
+
"precision": 0.9992513849378649,
|
304 |
+
"recall": 0.9996255523103422,
|
305 |
+
"support": 13353.0
|
306 |
},
|
307 |
+
"eval_accuracy": 0.9121220450797142,
|
308 |
+
"eval_loss": 0.2739432156085968,
|
309 |
"eval_macro avg": {
|
310 |
+
"f1-score": 0.8483583624924435,
|
311 |
+
"precision": 0.8720179501750691,
|
312 |
+
"recall": 0.8303804561860663,
|
313 |
+
"support": 36380.0
|
314 |
+
},
|
315 |
+
"eval_runtime": 5.0932,
|
316 |
+
"eval_samples_per_second": 15.904,
|
317 |
+
"eval_steps_per_second": 2.16,
|
318 |
"eval_weighted avg": {
|
319 |
+
"f1-score": 0.9087400479269403,
|
320 |
+
"precision": 0.9081638580455985,
|
321 |
+
"recall": 0.9121220450797142,
|
322 |
+
"support": 36380.0
|
323 |
},
|
324 |
"step": 405
|
325 |
},
|
326 |
{
|
327 |
"epoch": 6.0,
|
328 |
"eval_B-Claim": {
|
329 |
+
"f1-score": 0.6675461741424802,
|
330 |
+
"precision": 0.60381861575179,
|
331 |
+
"recall": 0.7463126843657817,
|
332 |
+
"support": 339.0
|
333 |
},
|
334 |
"eval_B-MajorClaim": {
|
335 |
+
"f1-score": 0.887608069164265,
|
336 |
+
"precision": 0.8235294117647058,
|
337 |
+
"recall": 0.9625,
|
338 |
+
"support": 160.0
|
339 |
},
|
340 |
"eval_B-Premise": {
|
341 |
+
"f1-score": 0.8737316798196167,
|
342 |
+
"precision": 0.9303721488595438,
|
343 |
+
"recall": 0.8235919234856536,
|
344 |
+
"support": 941.0
|
345 |
},
|
346 |
"eval_I-Claim": {
|
347 |
+
"f1-score": 0.6529236868186323,
|
348 |
+
"precision": 0.6109050445103857,
|
349 |
+
"recall": 0.7011494252873564,
|
350 |
+
"support": 4698.0
|
351 |
},
|
352 |
"eval_I-MajorClaim": {
|
353 |
+
"f1-score": 0.8689320388349515,
|
354 |
+
"precision": 0.7863418530351438,
|
355 |
+
"recall": 0.9709072978303748,
|
356 |
+
"support": 2028.0
|
357 |
},
|
358 |
"eval_I-Premise": {
|
359 |
+
"f1-score": 0.8937734066010992,
|
360 |
+
"precision": 0.9312910284463894,
|
361 |
+
"recall": 0.8591615638247763,
|
362 |
+
"support": 14861.0
|
363 |
},
|
364 |
"eval_O": {
|
365 |
+
"f1-score": 0.9988009592326139,
|
366 |
+
"precision": 0.9994750656167979,
|
367 |
+
"recall": 0.9981277615517112,
|
368 |
+
"support": 13353.0
|
369 |
},
|
370 |
+
"eval_accuracy": 0.8944749862561847,
|
371 |
+
"eval_loss": 0.37784042954444885,
|
372 |
"eval_macro avg": {
|
373 |
+
"f1-score": 0.8347594306590942,
|
374 |
+
"precision": 0.8122475954263937,
|
375 |
+
"recall": 0.8659643794779507,
|
376 |
+
"support": 36380.0
|
377 |
+
},
|
378 |
+
"eval_runtime": 5.0734,
|
379 |
+
"eval_samples_per_second": 15.966,
|
380 |
+
"eval_steps_per_second": 2.168,
|
381 |
"eval_weighted avg": {
|
382 |
+
"f1-score": 0.8971820344797716,
|
383 |
+
"precision": 0.9033144340485707,
|
384 |
+
"recall": 0.8944749862561847,
|
385 |
+
"support": 36380.0
|
386 |
},
|
387 |
"step": 486
|
388 |
},
|
389 |
{
|
390 |
"epoch": 6.17,
|
391 |
+
"grad_norm": 21.778270721435547,
|
392 |
"learning_rate": 1.7530864197530865e-05,
|
393 |
+
"loss": 0.2481,
|
394 |
"step": 500
|
395 |
},
|
396 |
{
|
397 |
"epoch": 7.0,
|
398 |
"eval_B-Claim": {
|
399 |
+
"f1-score": 0.6489859594383774,
|
400 |
+
"precision": 0.6887417218543046,
|
401 |
+
"recall": 0.6135693215339233,
|
402 |
+
"support": 339.0
|
403 |
},
|
404 |
"eval_B-MajorClaim": {
|
405 |
+
"f1-score": 0.8852459016393444,
|
406 |
+
"precision": 0.9310344827586207,
|
407 |
+
"recall": 0.84375,
|
408 |
+
"support": 160.0
|
409 |
},
|
410 |
"eval_B-Premise": {
|
411 |
+
"f1-score": 0.9011898603207449,
|
412 |
+
"precision": 0.8780241935483871,
|
413 |
+
"recall": 0.9256110520722636,
|
414 |
+
"support": 941.0
|
415 |
},
|
416 |
"eval_I-Claim": {
|
417 |
+
"f1-score": 0.626564114338193,
|
418 |
+
"precision": 0.6800398704211313,
|
419 |
+
"recall": 0.5808854831843338,
|
420 |
+
"support": 4698.0
|
421 |
},
|
422 |
"eval_I-MajorClaim": {
|
423 |
+
"f1-score": 0.8813559322033898,
|
424 |
+
"precision": 0.9049350649350649,
|
425 |
+
"recall": 0.8589743589743589,
|
426 |
+
"support": 2028.0
|
427 |
},
|
428 |
"eval_I-Premise": {
|
429 |
+
"f1-score": 0.9073595340161655,
|
430 |
+
"precision": 0.8831698305516626,
|
431 |
+
"recall": 0.9329116479375547,
|
432 |
+
"support": 14861.0
|
433 |
},
|
434 |
"eval_O": {
|
435 |
+
"f1-score": 0.9981994148098132,
|
436 |
"precision": 1.0,
|
437 |
+
"recall": 0.9964053021792856,
|
438 |
+
"support": 13353.0
|
439 |
},
|
440 |
+
"eval_accuracy": 0.9030786146234194,
|
441 |
+
"eval_loss": 0.4109443426132202,
|
442 |
"eval_macro avg": {
|
443 |
+
"f1-score": 0.8355572452522898,
|
444 |
+
"precision": 0.8522778805813102,
|
445 |
+
"recall": 0.8217295951259599,
|
446 |
+
"support": 36380.0
|
447 |
+
},
|
448 |
+
"eval_runtime": 5.0454,
|
449 |
+
"eval_samples_per_second": 16.054,
|
450 |
+
"eval_steps_per_second": 2.18,
|
451 |
"eval_weighted avg": {
|
452 |
+
"f1-score": 0.9003265559019435,
|
453 |
+
"precision": 0.8992988510674564,
|
454 |
+
"recall": 0.9030786146234194,
|
455 |
+
"support": 36380.0
|
456 |
},
|
457 |
"step": 567
|
458 |
},
|
459 |
{
|
460 |
"epoch": 8.0,
|
461 |
"eval_B-Claim": {
|
462 |
+
"f1-score": 0.7029972752043596,
|
463 |
+
"precision": 0.6531645569620254,
|
464 |
+
"recall": 0.7610619469026548,
|
465 |
+
"support": 339.0
|
466 |
},
|
467 |
"eval_B-MajorClaim": {
|
468 |
+
"f1-score": 0.9134328358208955,
|
469 |
+
"precision": 0.8742857142857143,
|
470 |
+
"recall": 0.95625,
|
471 |
+
"support": 160.0
|
472 |
},
|
473 |
"eval_B-Premise": {
|
474 |
+
"f1-score": 0.8914728682170544,
|
475 |
+
"precision": 0.930635838150289,
|
476 |
+
"recall": 0.8554729011689692,
|
477 |
+
"support": 941.0
|
478 |
},
|
479 |
"eval_I-Claim": {
|
480 |
+
"f1-score": 0.6790487421383647,
|
481 |
+
"precision": 0.6307046367287331,
|
482 |
+
"recall": 0.7354193273733504,
|
483 |
+
"support": 4698.0
|
484 |
},
|
485 |
"eval_I-MajorClaim": {
|
486 |
+
"f1-score": 0.8939393939393939,
|
487 |
+
"precision": 0.836340206185567,
|
488 |
+
"recall": 0.9600591715976331,
|
489 |
+
"support": 2028.0
|
490 |
},
|
491 |
"eval_I-Premise": {
|
492 |
+
"f1-score": 0.8993180625983564,
|
493 |
+
"precision": 0.9362166885102665,
|
494 |
+
"recall": 0.8652176838705337,
|
495 |
+
"support": 14861.0
|
496 |
},
|
497 |
"eval_O": {
|
498 |
+
"f1-score": 0.9979819119515658,
|
499 |
+
"precision": 0.9960462513987318,
|
500 |
+
"recall": 0.9999251104620684,
|
501 |
+
"support": 13353.0
|
502 |
},
|
503 |
+
"eval_accuracy": 0.902363936228697,
|
504 |
+
"eval_loss": 0.4763801097869873,
|
505 |
"eval_macro avg": {
|
506 |
+
"f1-score": 0.8540272985528559,
|
507 |
+
"precision": 0.8367705560316182,
|
508 |
+
"recall": 0.8762008773393156,
|
509 |
+
"support": 36380.0
|
510 |
+
},
|
511 |
+
"eval_runtime": 5.0791,
|
512 |
+
"eval_samples_per_second": 15.948,
|
513 |
+
"eval_steps_per_second": 2.166,
|
514 |
"eval_weighted avg": {
|
515 |
+
"f1-score": 0.9048169208096876,
|
516 |
+
"precision": 0.9101018951943243,
|
517 |
+
"recall": 0.902363936228697,
|
518 |
+
"support": 36380.0
|
519 |
},
|
520 |
"step": 648
|
521 |
},
|
522 |
{
|
523 |
"epoch": 9.0,
|
524 |
"eval_B-Claim": {
|
525 |
+
"f1-score": 0.6884779516358464,
|
526 |
+
"precision": 0.6648351648351648,
|
527 |
+
"recall": 0.7138643067846607,
|
528 |
+
"support": 339.0
|
529 |
},
|
530 |
"eval_B-MajorClaim": {
|
531 |
+
"f1-score": 0.8860759493670887,
|
532 |
+
"precision": 0.8974358974358975,
|
533 |
+
"recall": 0.875,
|
534 |
+
"support": 160.0
|
535 |
},
|
536 |
"eval_B-Premise": {
|
537 |
+
"f1-score": 0.8984416980118215,
|
538 |
+
"precision": 0.908695652173913,
|
539 |
+
"recall": 0.8884165781083954,
|
540 |
+
"support": 941.0
|
541 |
},
|
542 |
"eval_I-Claim": {
|
543 |
+
"f1-score": 0.6685829873309911,
|
544 |
+
"precision": 0.6687965921192758,
|
545 |
+
"recall": 0.6683695189442316,
|
546 |
+
"support": 4698.0
|
547 |
},
|
548 |
"eval_I-MajorClaim": {
|
549 |
+
"f1-score": 0.8819011041766683,
|
550 |
+
"precision": 0.8592142188961647,
|
551 |
+
"recall": 0.9058185404339251,
|
552 |
+
"support": 2028.0
|
553 |
},
|
554 |
"eval_I-Premise": {
|
555 |
+
"f1-score": 0.9072658065820057,
|
556 |
+
"precision": 0.9083367057871308,
|
557 |
+
"recall": 0.9061974295134917,
|
558 |
+
"support": 14861.0
|
559 |
},
|
560 |
"eval_O": {
|
561 |
+
"f1-score": 0.9971465044679734,
|
562 |
+
"precision": 0.9998494089300505,
|
563 |
+
"recall": 0.9944581741930653,
|
564 |
+
"support": 13353.0
|
565 |
},
|
566 |
+
"eval_accuracy": 0.9054700384826828,
|
567 |
+
"eval_loss": 0.43875375390052795,
|
568 |
"eval_macro avg": {
|
569 |
+
"f1-score": 0.8468417145103421,
|
570 |
+
"precision": 0.843880520025371,
|
571 |
+
"recall": 0.8503035068539672,
|
572 |
+
"support": 36380.0
|
573 |
+
},
|
574 |
+
"eval_runtime": 5.0863,
|
575 |
+
"eval_samples_per_second": 15.925,
|
576 |
+
"eval_steps_per_second": 2.163,
|
577 |
"eval_weighted avg": {
|
578 |
+
"f1-score": 0.9056589487317133,
|
579 |
+
"precision": 0.9059462683069767,
|
580 |
+
"recall": 0.9054700384826828,
|
581 |
+
"support": 36380.0
|
582 |
},
|
583 |
"step": 729
|
584 |
},
|
585 |
{
|
586 |
"epoch": 10.0,
|
587 |
"eval_B-Claim": {
|
588 |
+
"f1-score": 0.6910569105691057,
|
589 |
+
"precision": 0.6390977443609023,
|
590 |
+
"recall": 0.7522123893805309,
|
591 |
+
"support": 339.0
|
592 |
},
|
593 |
"eval_B-MajorClaim": {
|
594 |
+
"f1-score": 0.9046153846153846,
|
595 |
+
"precision": 0.8909090909090909,
|
596 |
+
"recall": 0.91875,
|
597 |
+
"support": 160.0
|
598 |
},
|
599 |
"eval_B-Premise": {
|
600 |
+
"f1-score": 0.8888888888888888,
|
601 |
+
"precision": 0.9213226909920182,
|
602 |
+
"recall": 0.8586609989373007,
|
603 |
+
"support": 941.0
|
604 |
},
|
605 |
"eval_I-Claim": {
|
606 |
+
"f1-score": 0.6645316253002403,
|
607 |
+
"precision": 0.6271250472232717,
|
608 |
+
"recall": 0.7066836951894423,
|
609 |
+
"support": 4698.0
|
610 |
},
|
611 |
"eval_I-MajorClaim": {
|
612 |
+
"f1-score": 0.886980737990253,
|
613 |
+
"precision": 0.8377904427882508,
|
614 |
+
"recall": 0.9423076923076923,
|
615 |
+
"support": 2028.0
|
616 |
},
|
617 |
"eval_I-Premise": {
|
618 |
+
"f1-score": 0.8983343700324833,
|
619 |
+
"precision": 0.9233501456276195,
|
620 |
+
"recall": 0.8746383150528229,
|
621 |
+
"support": 14861.0
|
622 |
},
|
623 |
"eval_O": {
|
624 |
+
"f1-score": 0.9975225225225225,
|
625 |
+
"precision": 1.0,
|
626 |
+
"recall": 0.9950572904965176,
|
627 |
+
"support": 13353.0
|
628 |
},
|
629 |
+
"eval_accuracy": 0.8995601979109401,
|
630 |
+
"eval_loss": 0.5381875038146973,
|
631 |
"eval_macro avg": {
|
632 |
+
"f1-score": 0.8474186342741253,
|
633 |
+
"precision": 0.8342278802715933,
|
634 |
+
"recall": 0.8640443401949011,
|
635 |
+
"support": 36380.0
|
636 |
+
},
|
637 |
+
"eval_runtime": 5.099,
|
638 |
+
"eval_samples_per_second": 15.885,
|
639 |
+
"eval_steps_per_second": 2.157,
|
640 |
"eval_weighted avg": {
|
641 |
+
"f1-score": 0.9017669881051834,
|
642 |
+
"precision": 0.9056169116577473,
|
643 |
+
"recall": 0.8995601979109401,
|
644 |
+
"support": 36380.0
|
645 |
},
|
646 |
"step": 810
|
647 |
},
|
648 |
{
|
649 |
"epoch": 11.0,
|
650 |
"eval_B-Claim": {
|
651 |
+
"f1-score": 0.7103825136612023,
|
652 |
+
"precision": 0.6615776081424937,
|
653 |
+
"recall": 0.7669616519174042,
|
654 |
+
"support": 339.0
|
655 |
},
|
656 |
"eval_B-MajorClaim": {
|
657 |
+
"f1-score": 0.9032258064516129,
|
658 |
+
"precision": 0.850828729281768,
|
659 |
+
"recall": 0.9625,
|
660 |
+
"support": 160.0
|
661 |
},
|
662 |
"eval_B-Premise": {
|
663 |
+
"f1-score": 0.8955223880597015,
|
664 |
+
"precision": 0.9331797235023042,
|
665 |
+
"recall": 0.8607863974495218,
|
666 |
+
"support": 941.0
|
667 |
},
|
668 |
"eval_I-Claim": {
|
669 |
+
"f1-score": 0.685932169375878,
|
670 |
+
"precision": 0.6488230827638573,
|
671 |
+
"recall": 0.7275436355896125,
|
672 |
+
"support": 4698.0
|
673 |
},
|
674 |
"eval_I-MajorClaim": {
|
675 |
+
"f1-score": 0.8921899617375647,
|
676 |
+
"precision": 0.820703933747412,
|
677 |
+
"recall": 0.9773175542406312,
|
678 |
+
"support": 2028.0
|
679 |
},
|
680 |
"eval_I-Premise": {
|
681 |
+
"f1-score": 0.9036754507628294,
|
682 |
+
"precision": 0.932183990271121,
|
683 |
+
"recall": 0.8768588924029338,
|
684 |
+
"support": 14861.0
|
685 |
},
|
686 |
"eval_O": {
|
687 |
+
"f1-score": 0.9971084156370874,
|
688 |
+
"precision": 1.0,
|
689 |
+
"recall": 0.9942335055792706,
|
690 |
+
"support": 13353.0
|
691 |
},
|
692 |
+
"eval_accuracy": 0.9051951621770203,
|
693 |
+
"eval_loss": 0.5869538187980652,
|
694 |
"eval_macro avg": {
|
695 |
+
"f1-score": 0.8554338150979823,
|
696 |
+
"precision": 0.8353281525298509,
|
697 |
+
"recall": 0.880885948168482,
|
698 |
+
"support": 36380.0
|
699 |
+
},
|
700 |
+
"eval_runtime": 5.0923,
|
701 |
+
"eval_samples_per_second": 15.906,
|
702 |
+
"eval_steps_per_second": 2.16,
|
703 |
"eval_weighted avg": {
|
704 |
+
"f1-score": 0.9071963301332511,
|
705 |
+
"precision": 0.9114149044954519,
|
706 |
+
"recall": 0.9051951621770203,
|
707 |
+
"support": 36380.0
|
708 |
},
|
709 |
"step": 891
|
710 |
},
|
711 |
{
|
712 |
"epoch": 12.0,
|
713 |
"eval_B-Claim": {
|
714 |
+
"f1-score": 0.6758409785932722,
|
715 |
+
"precision": 0.7015873015873015,
|
716 |
+
"recall": 0.6519174041297935,
|
717 |
+
"support": 339.0
|
718 |
},
|
719 |
"eval_B-MajorClaim": {
|
720 |
+
"f1-score": 0.916923076923077,
|
721 |
+
"precision": 0.9030303030303031,
|
722 |
+
"recall": 0.93125,
|
723 |
+
"support": 160.0
|
724 |
},
|
725 |
"eval_B-Premise": {
|
726 |
+
"f1-score": 0.8989473684210527,
|
727 |
+
"precision": 0.8905109489051095,
|
728 |
+
"recall": 0.9075451647183846,
|
729 |
+
"support": 941.0
|
730 |
},
|
731 |
"eval_I-Claim": {
|
732 |
+
"f1-score": 0.6533197602081212,
|
733 |
+
"precision": 0.6970794110547912,
|
734 |
+
"recall": 0.6147296722009365,
|
735 |
+
"support": 4698.0
|
736 |
},
|
737 |
"eval_I-MajorClaim": {
|
738 |
+
"f1-score": 0.9200480192076831,
|
739 |
+
"precision": 0.8965839962564343,
|
740 |
+
"recall": 0.9447731755424064,
|
741 |
+
"support": 2028.0
|
742 |
},
|
743 |
"eval_I-Premise": {
|
744 |
+
"f1-score": 0.9082653940478558,
|
745 |
+
"precision": 0.8948605759811924,
|
746 |
+
"recall": 0.922077922077922,
|
747 |
+
"support": 14861.0
|
748 |
},
|
749 |
"eval_O": {
|
750 |
+
"f1-score": 0.9988389947942025,
|
751 |
+
"precision": 0.9990260713215463,
|
752 |
+
"recall": 0.9986519883172321,
|
753 |
+
"support": 13353.0
|
754 |
},
|
755 |
+
"eval_accuracy": 0.9089059923034635,
|
756 |
+
"eval_loss": 0.5580677390098572,
|
757 |
"eval_macro avg": {
|
758 |
+
"f1-score": 0.8531690845993235,
|
759 |
+
"precision": 0.854668372590954,
|
760 |
+
"recall": 0.852992189569525,
|
761 |
+
"support": 36380.0
|
762 |
+
},
|
763 |
+
"eval_runtime": 5.0574,
|
764 |
+
"eval_samples_per_second": 16.016,
|
765 |
+
"eval_steps_per_second": 2.175,
|
766 |
"eval_weighted avg": {
|
767 |
+
"f1-score": 0.9068749310769137,
|
768 |
+
"precision": 0.9057713940131727,
|
769 |
+
"recall": 0.9089059923034635,
|
770 |
+
"support": 36380.0
|
771 |
},
|
772 |
"step": 972
|
773 |
},
|
774 |
{
|
775 |
"epoch": 12.35,
|
776 |
+
"grad_norm": 0.45772114396095276,
|
777 |
"learning_rate": 1.506172839506173e-05,
|
778 |
+
"loss": 0.0314,
|
779 |
"step": 1000
|
780 |
},
|
781 |
{
|
782 |
"epoch": 13.0,
|
783 |
"eval_B-Claim": {
|
784 |
+
"f1-score": 0.6760563380281691,
|
785 |
+
"precision": 0.72,
|
786 |
+
"recall": 0.6371681415929203,
|
787 |
+
"support": 339.0
|
788 |
},
|
789 |
"eval_B-MajorClaim": {
|
790 |
+
"f1-score": 0.9171974522292993,
|
791 |
+
"precision": 0.935064935064935,
|
792 |
+
"recall": 0.9,
|
793 |
+
"support": 160.0
|
794 |
},
|
795 |
"eval_B-Premise": {
|
796 |
+
"f1-score": 0.905503634475597,
|
797 |
+
"precision": 0.8852791878172589,
|
798 |
+
"recall": 0.926673751328374,
|
799 |
+
"support": 941.0
|
800 |
},
|
801 |
"eval_I-Claim": {
|
802 |
+
"f1-score": 0.6522588803310726,
|
803 |
+
"precision": 0.7090727318170458,
|
804 |
+
"recall": 0.6038739889314602,
|
805 |
+
"support": 4698.0
|
806 |
},
|
807 |
"eval_I-MajorClaim": {
|
808 |
+
"f1-score": 0.9228121927236971,
|
809 |
+
"precision": 0.9200980392156862,
|
810 |
+
"recall": 0.9255424063116371,
|
811 |
+
"support": 2028.0
|
812 |
},
|
813 |
"eval_I-Premise": {
|
814 |
+
"f1-score": 0.9102441910145594,
|
815 |
+
"precision": 0.8896312475909033,
|
816 |
+
"recall": 0.9318350043738645,
|
817 |
+
"support": 14861.0
|
818 |
},
|
819 |
"eval_O": {
|
820 |
+
"f1-score": 0.9992880428673137,
|
821 |
"precision": 1.0,
|
822 |
+
"recall": 0.9985770987793006,
|
823 |
+
"support": 13353.0
|
824 |
},
|
825 |
+
"eval_accuracy": 0.9106102253985706,
|
826 |
+
"eval_loss": 0.5264647603034973,
|
827 |
"eval_macro avg": {
|
828 |
+
"f1-score": 0.8547658188099584,
|
829 |
+
"precision": 0.8655923059294041,
|
830 |
+
"recall": 0.8462386273310795,
|
831 |
+
"support": 36380.0
|
832 |
+
},
|
833 |
+
"eval_runtime": 5.0562,
|
834 |
+
"eval_samples_per_second": 16.02,
|
835 |
+
"eval_steps_per_second": 2.176,
|
836 |
"eval_weighted avg": {
|
837 |
+
"f1-score": 0.9080379636257123,
|
838 |
+
"precision": 0.9070294280758862,
|
839 |
+
"recall": 0.9106102253985706,
|
840 |
+
"support": 36380.0
|
841 |
},
|
842 |
"step": 1053
|
843 |
},
|
844 |
{
|
845 |
"epoch": 14.0,
|
846 |
"eval_B-Claim": {
|
847 |
+
"f1-score": 0.6980609418282548,
|
848 |
+
"precision": 0.6579634464751958,
|
849 |
+
"recall": 0.7433628318584071,
|
850 |
+
"support": 339.0
|
851 |
},
|
852 |
"eval_B-MajorClaim": {
|
853 |
+
"f1-score": 0.9226006191950465,
|
854 |
+
"precision": 0.9141104294478528,
|
855 |
+
"recall": 0.93125,
|
856 |
+
"support": 160.0
|
857 |
},
|
858 |
"eval_B-Premise": {
|
859 |
+
"f1-score": 0.8921568627450981,
|
860 |
+
"precision": 0.9150837988826815,
|
861 |
+
"recall": 0.8703506907545164,
|
862 |
+
"support": 941.0
|
863 |
},
|
864 |
"eval_I-Claim": {
|
865 |
+
"f1-score": 0.6821321785751109,
|
866 |
+
"precision": 0.6614677064587082,
|
867 |
+
"recall": 0.7041294167730949,
|
868 |
+
"support": 4698.0
|
869 |
},
|
870 |
"eval_I-MajorClaim": {
|
871 |
+
"f1-score": 0.9124910093502757,
|
872 |
+
"precision": 0.8880074661689221,
|
873 |
+
"recall": 0.9383629191321499,
|
874 |
+
"support": 2028.0
|
875 |
},
|
876 |
"eval_I-Premise": {
|
877 |
+
"f1-score": 0.9052323204796293,
|
878 |
+
"precision": 0.9166609175577786,
|
879 |
+
"recall": 0.894085189421977,
|
880 |
+
"support": 14861.0
|
881 |
},
|
882 |
"eval_O": {
|
883 |
+
"f1-score": 0.9980114808839531,
|
884 |
"precision": 1.0,
|
885 |
+
"recall": 0.9960308544896278,
|
886 |
+
"support": 13353.0
|
887 |
},
|
888 |
+
"eval_accuracy": 0.9075865860362837,
|
889 |
+
"eval_loss": 0.6585939526557922,
|
890 |
"eval_macro avg": {
|
891 |
+
"f1-score": 0.8586693447224812,
|
892 |
+
"precision": 0.850470537855877,
|
893 |
+
"recall": 0.8682245574899676,
|
894 |
+
"support": 36380.0
|
895 |
+
},
|
896 |
+
"eval_runtime": 5.0606,
|
897 |
+
"eval_samples_per_second": 16.006,
|
898 |
+
"eval_steps_per_second": 2.174,
|
899 |
"eval_weighted avg": {
|
900 |
+
"f1-score": 0.9086880683615599,
|
901 |
+
"precision": 0.9102351141829325,
|
902 |
+
"recall": 0.9075865860362837,
|
903 |
+
"support": 36380.0
|
904 |
},
|
905 |
"step": 1134
|
906 |
},
|
907 |
{
|
908 |
"epoch": 15.0,
|
909 |
"eval_B-Claim": {
|
910 |
+
"f1-score": 0.6920731707317073,
|
911 |
+
"precision": 0.7160883280757098,
|
912 |
+
"recall": 0.6696165191740413,
|
913 |
+
"support": 339.0
|
914 |
},
|
915 |
"eval_B-MajorClaim": {
|
916 |
+
"f1-score": 0.90282131661442,
|
917 |
+
"precision": 0.9056603773584906,
|
918 |
+
"recall": 0.9,
|
919 |
+
"support": 160.0
|
920 |
},
|
921 |
"eval_B-Premise": {
|
922 |
+
"f1-score": 0.9076600209863588,
|
923 |
+
"precision": 0.8963730569948186,
|
924 |
+
"recall": 0.9192348565356004,
|
925 |
+
"support": 941.0
|
926 |
},
|
927 |
"eval_I-Claim": {
|
928 |
+
"f1-score": 0.6644877718922575,
|
929 |
+
"precision": 0.7061077844311378,
|
930 |
+
"recall": 0.6275010642826735,
|
931 |
+
"support": 4698.0
|
932 |
},
|
933 |
"eval_I-MajorClaim": {
|
934 |
+
"f1-score": 0.9016511127063891,
|
935 |
+
"precision": 0.8758716875871687,
|
936 |
+
"recall": 0.9289940828402367,
|
937 |
+
"support": 2028.0
|
938 |
},
|
939 |
"eval_I-Premise": {
|
940 |
+
"f1-score": 0.9134082844161443,
|
941 |
+
"precision": 0.9005362280931206,
|
942 |
+
"recall": 0.9266536572236054,
|
943 |
+
"support": 14861.0
|
944 |
},
|
945 |
"eval_O": {
|
946 |
+
"f1-score": 0.9987253505286046,
|
947 |
+
"precision": 0.9999249305607687,
|
948 |
+
"recall": 0.9975286452482588,
|
949 |
+
"support": 13353.0
|
950 |
},
|
951 |
+
"eval_accuracy": 0.9114623419461243,
|
952 |
+
"eval_loss": 0.6387954950332642,
|
953 |
"eval_macro avg": {
|
954 |
+
"f1-score": 0.854403861125126,
|
955 |
+
"precision": 0.8572231990144593,
|
956 |
+
"recall": 0.8527898321863451,
|
957 |
+
"support": 36380.0
|
958 |
+
},
|
959 |
+
"eval_runtime": 5.0835,
|
960 |
+
"eval_samples_per_second": 15.934,
|
961 |
+
"eval_steps_per_second": 2.164,
|
962 |
"eval_weighted avg": {
|
963 |
+
"f1-score": 0.9096653222792656,
|
964 |
+
"precision": 0.9087293921765042,
|
965 |
+
"recall": 0.9114623419461243,
|
966 |
+
"support": 36380.0
|
967 |
},
|
968 |
"step": 1215
|
969 |
},
|
970 |
{
|
971 |
"epoch": 16.0,
|
972 |
"eval_B-Claim": {
|
973 |
+
"f1-score": 0.6602254428341385,
|
974 |
+
"precision": 0.7269503546099291,
|
975 |
+
"recall": 0.6047197640117994,
|
976 |
+
"support": 339.0
|
977 |
},
|
978 |
"eval_B-MajorClaim": {
|
979 |
+
"f1-score": 0.8903225806451613,
|
980 |
+
"precision": 0.92,
|
981 |
+
"recall": 0.8625,
|
982 |
+
"support": 160.0
|
983 |
},
|
984 |
"eval_B-Premise": {
|
985 |
+
"f1-score": 0.9055441478439425,
|
986 |
+
"precision": 0.8758689175769613,
|
987 |
+
"recall": 0.9373007438894793,
|
988 |
+
"support": 941.0
|
989 |
},
|
990 |
"eval_I-Claim": {
|
991 |
+
"f1-score": 0.6361776387050188,
|
992 |
+
"precision": 0.7319302132373304,
|
993 |
+
"recall": 0.5625798212005109,
|
994 |
+
"support": 4698.0
|
995 |
},
|
996 |
"eval_I-MajorClaim": {
|
997 |
+
"f1-score": 0.9097614949594295,
|
998 |
+
"precision": 0.9073075036782736,
|
999 |
+
"recall": 0.9122287968441815,
|
1000 |
+
"support": 2028.0
|
1001 |
},
|
1002 |
"eval_I-Premise": {
|
1003 |
+
"f1-score": 0.9127908863717504,
|
1004 |
+
"precision": 0.8816300940438871,
|
1005 |
+
"recall": 0.9462351120382209,
|
1006 |
+
"support": 14861.0
|
1007 |
},
|
1008 |
"eval_O": {
|
1009 |
+
"f1-score": 0.9993256911665542,
|
1010 |
+
"precision": 0.9997751293006522,
|
1011 |
+
"recall": 0.9988766569310268,
|
1012 |
+
"support": 13353.0
|
1013 |
},
|
1014 |
+
"eval_accuracy": 0.9103353490929081,
|
1015 |
+
"eval_loss": 0.6975058317184448,
|
1016 |
"eval_macro avg": {
|
1017 |
+
"f1-score": 0.844878268932285,
|
1018 |
+
"precision": 0.8633517446352906,
|
1019 |
+
"recall": 0.8320629849878884,
|
1020 |
+
"support": 36380.0
|
1021 |
+
},
|
1022 |
+
"eval_runtime": 5.0731,
|
1023 |
+
"eval_samples_per_second": 15.967,
|
1024 |
+
"eval_steps_per_second": 2.168,
|
1025 |
"eval_weighted avg": {
|
1026 |
+
"f1-score": 0.9060232340867683,
|
1027 |
+
"precision": 0.9056723119856793,
|
1028 |
+
"recall": 0.9103353490929081,
|
1029 |
+
"support": 36380.0
|
1030 |
},
|
1031 |
"step": 1296
|
1032 |
}
|
|
|
1036 |
"num_input_tokens_seen": 0,
|
1037 |
"num_train_epochs": 50,
|
1038 |
"save_steps": 500,
|
1039 |
+
"total_flos": 2293508118384000.0,
|
1040 |
"train_batch_size": 4,
|
1041 |
"trial_name": null,
|
1042 |
"trial_params": null
|
checkpoint-1296/training_args.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 4920
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:db3de2ea286aed4cce53d86abf84d503faba79a292e98a5c89e444e2125b5ea5
|
3 |
size 4920
|