Theoreticallyhugo
commited on
Commit
•
1e2f83e
1
Parent(s):
7823d51
Training in progress, epoch 23, checkpoint
Browse files
checkpoint-1863/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 sha256:305d86d87b41ee840dd83b0579ae9d5c8cbe3647b226d18ce0c6309e7626cf3b
|
3 |
size 592324828
|
checkpoint-1863/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:bd49285512ac9d4419129c9c7eaa4d27f9f51a20e5271dfd49032e16a8fb35b5
|
3 |
size 1014657786
|
checkpoint-1863/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:bd8ba834d767dfc2099d32598969359180561abd560cba822c3f8828c98cdc52
|
3 |
size 14244
|
checkpoint-1863/trainer_state.json
CHANGED
@@ -11,1056 +11,1056 @@
|
|
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": 4.
|
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": 4.
|
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": 4.
|
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": 0.
|
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":
|
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": 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":
|
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": 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": 4.
|
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": 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": 1.
|
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":
|
915 |
"eval_macro avg": {
|
916 |
-
"f1-score": 0.
|
917 |
-
"precision": 0.
|
918 |
-
"recall": 0.
|
919 |
-
"support":
|
920 |
-
},
|
921 |
-
"eval_runtime": 4.
|
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": 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": 1.
|
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": 1.
|
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": 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": 1.
|
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 |
}
|
@@ -1070,7 +1070,7 @@
|
|
1070 |
"num_input_tokens_seen": 0,
|
1071 |
"num_train_epochs": 50,
|
1072 |
"save_steps": 500,
|
1073 |
-
"total_flos":
|
1074 |
"train_batch_size": 4,
|
1075 |
"trial_name": null,
|
1076 |
"trial_params": null
|
|
|
11 |
{
|
12 |
"epoch": 1.0,
|
13 |
"eval_Claim": {
|
14 |
+
"f1-score": 0.4888068880688806,
|
15 |
+
"precision": 0.6228840125391849,
|
16 |
+
"recall": 0.40222672064777326,
|
17 |
+
"support": 4940.0
|
18 |
},
|
19 |
"eval_MajorClaim": {
|
20 |
+
"f1-score": 0.7325278370054489,
|
21 |
+
"precision": 0.7604525332021643,
|
22 |
+
"recall": 0.706581352833638,
|
23 |
+
"support": 2188.0
|
24 |
},
|
25 |
"eval_O": {
|
26 |
+
"f1-score": 0.8634848138844484,
|
27 |
+
"precision": 0.827613377692173,
|
28 |
+
"recall": 0.902606702950444,
|
29 |
+
"support": 10473.0
|
30 |
},
|
31 |
"eval_Premise": {
|
32 |
+
"f1-score": 0.8792819197655248,
|
33 |
+
"precision": 0.8543458914268763,
|
34 |
+
"recall": 0.9057173407132524,
|
35 |
+
"support": 15899.0
|
36 |
},
|
37 |
+
"eval_accuracy": 0.8174925373134329,
|
38 |
+
"eval_loss": 0.49806877970695496,
|
39 |
"eval_macro avg": {
|
40 |
+
"f1-score": 0.7410253646810757,
|
41 |
+
"precision": 0.7663239537150996,
|
42 |
+
"recall": 0.7292830292862769,
|
43 |
+
"support": 33500.0
|
44 |
+
},
|
45 |
+
"eval_runtime": 4.9194,
|
46 |
+
"eval_samples_per_second": 16.465,
|
47 |
+
"eval_steps_per_second": 2.236,
|
48 |
"eval_weighted avg": {
|
49 |
+
"f1-score": 0.8071778099281224,
|
50 |
+
"precision": 0.80572410140167,
|
51 |
+
"recall": 0.8174925373134329,
|
52 |
+
"support": 33500.0
|
53 |
},
|
54 |
"step": 81
|
55 |
},
|
56 |
{
|
57 |
"epoch": 2.0,
|
58 |
"eval_Claim": {
|
59 |
+
"f1-score": 0.5993816254416962,
|
60 |
+
"precision": 0.6593780369290574,
|
61 |
+
"recall": 0.5493927125506073,
|
62 |
+
"support": 4940.0
|
63 |
},
|
64 |
"eval_MajorClaim": {
|
65 |
+
"f1-score": 0.8017817371937639,
|
66 |
+
"precision": 0.7197382769901853,
|
67 |
+
"recall": 0.9049360146252285,
|
68 |
+
"support": 2188.0
|
69 |
},
|
70 |
"eval_O": {
|
71 |
+
"f1-score": 0.9058997050147494,
|
72 |
+
"precision": 0.9337184554575859,
|
73 |
+
"recall": 0.8796906330564308,
|
74 |
+
"support": 10473.0
|
75 |
},
|
76 |
"eval_Premise": {
|
77 |
+
"f1-score": 0.8854737486606459,
|
78 |
+
"precision": 0.862579028987236,
|
79 |
+
"recall": 0.9096169570413234,
|
80 |
+
"support": 15899.0
|
81 |
},
|
82 |
+
"eval_accuracy": 0.8468358208955223,
|
83 |
+
"eval_loss": 0.4562840759754181,
|
84 |
"eval_macro avg": {
|
85 |
+
"f1-score": 0.7981342040777137,
|
86 |
+
"precision": 0.7938534495910161,
|
87 |
+
"recall": 0.8109090793183975,
|
88 |
+
"support": 33500.0
|
89 |
+
},
|
90 |
+
"eval_runtime": 4.904,
|
91 |
+
"eval_samples_per_second": 16.517,
|
92 |
+
"eval_steps_per_second": 2.243,
|
93 |
"eval_weighted avg": {
|
94 |
+
"f1-score": 0.8442053257085675,
|
95 |
+
"precision": 0.8455251408465503,
|
96 |
+
"recall": 0.8468358208955223,
|
97 |
+
"support": 33500.0
|
98 |
},
|
99 |
"step": 162
|
100 |
},
|
101 |
{
|
102 |
"epoch": 3.0,
|
103 |
"eval_Claim": {
|
104 |
+
"f1-score": 0.6235462150581514,
|
105 |
+
"precision": 0.6285479226655697,
|
106 |
+
"recall": 0.6186234817813765,
|
107 |
+
"support": 4940.0
|
108 |
},
|
109 |
"eval_MajorClaim": {
|
110 |
+
"f1-score": 0.8338848444738584,
|
111 |
+
"precision": 0.8059701492537313,
|
112 |
+
"recall": 0.8638025594149908,
|
113 |
+
"support": 2188.0
|
114 |
},
|
115 |
"eval_O": {
|
116 |
+
"f1-score": 0.9066250826953974,
|
117 |
+
"precision": 0.8974646833193002,
|
118 |
+
"recall": 0.9159744103886184,
|
119 |
+
"support": 10473.0
|
120 |
},
|
121 |
"eval_Premise": {
|
122 |
+
"f1-score": 0.8827730692315017,
|
123 |
+
"precision": 0.8911176621379133,
|
124 |
+
"recall": 0.8745833071262343,
|
125 |
+
"support": 15899.0
|
126 |
},
|
127 |
+
"eval_accuracy": 0.8490746268656716,
|
128 |
+
"eval_loss": 0.43820467591285706,
|
129 |
"eval_macro avg": {
|
130 |
+
"f1-score": 0.8117073028647273,
|
131 |
+
"precision": 0.8057751043441286,
|
132 |
+
"recall": 0.818245939677805,
|
133 |
+
"support": 33500.0
|
134 |
+
},
|
135 |
+
"eval_runtime": 4.9179,
|
136 |
+
"eval_samples_per_second": 16.47,
|
137 |
+
"eval_steps_per_second": 2.237,
|
138 |
"eval_weighted avg": {
|
139 |
+
"f1-score": 0.8488105033097496,
|
140 |
+
"precision": 0.8488213959184715,
|
141 |
+
"recall": 0.8490746268656716,
|
142 |
+
"support": 33500.0
|
143 |
},
|
144 |
"step": 243
|
145 |
},
|
146 |
{
|
147 |
"epoch": 4.0,
|
148 |
"eval_Claim": {
|
149 |
+
"f1-score": 0.6415287144900879,
|
150 |
+
"precision": 0.6477507222451506,
|
151 |
+
"recall": 0.6354251012145749,
|
152 |
+
"support": 4940.0
|
153 |
},
|
154 |
"eval_MajorClaim": {
|
155 |
+
"f1-score": 0.8005126014523707,
|
156 |
+
"precision": 0.7514033680834001,
|
157 |
+
"recall": 0.856489945155393,
|
158 |
+
"support": 2188.0
|
159 |
},
|
160 |
"eval_O": {
|
161 |
+
"f1-score": 0.9065169636319258,
|
162 |
+
"precision": 0.9273871354374751,
|
163 |
+
"recall": 0.8865654540246348,
|
164 |
+
"support": 10473.0
|
165 |
},
|
166 |
"eval_Premise": {
|
167 |
+
"f1-score": 0.8932505382719131,
|
168 |
+
"precision": 0.8863636363636364,
|
169 |
+
"recall": 0.9002452984464432,
|
170 |
+
"support": 15899.0
|
171 |
},
|
172 |
+
"eval_accuracy": 0.8540597014925373,
|
173 |
+
"eval_loss": 0.4749625325202942,
|
174 |
"eval_macro avg": {
|
175 |
+
"f1-score": 0.8104522044615743,
|
176 |
+
"precision": 0.8032262155324155,
|
177 |
+
"recall": 0.8196814497102615,
|
178 |
+
"support": 33500.0
|
179 |
+
},
|
180 |
+
"eval_runtime": 4.8972,
|
181 |
+
"eval_samples_per_second": 16.54,
|
182 |
+
"eval_steps_per_second": 2.246,
|
183 |
"eval_weighted avg": {
|
184 |
+
"f1-score": 0.8542213698406307,
|
185 |
+
"precision": 0.8551874645146165,
|
186 |
+
"recall": 0.8540597014925373,
|
187 |
+
"support": 33500.0
|
188 |
},
|
189 |
"step": 324
|
190 |
},
|
191 |
{
|
192 |
"epoch": 5.0,
|
193 |
"eval_Claim": {
|
194 |
+
"f1-score": 0.6099687080911935,
|
195 |
+
"precision": 0.6808882235528942,
|
196 |
+
"recall": 0.5524291497975709,
|
197 |
+
"support": 4940.0
|
198 |
},
|
199 |
"eval_MajorClaim": {
|
200 |
+
"f1-score": 0.8315018315018317,
|
201 |
+
"precision": 0.8330275229357799,
|
202 |
+
"recall": 0.829981718464351,
|
203 |
+
"support": 2188.0
|
204 |
},
|
205 |
"eval_O": {
|
206 |
+
"f1-score": 0.9103454839630722,
|
207 |
+
"precision": 0.9074091642159188,
|
208 |
+
"recall": 0.9133008689009835,
|
209 |
+
"support": 10473.0
|
210 |
},
|
211 |
"eval_Premise": {
|
212 |
+
"f1-score": 0.8913988368533824,
|
213 |
+
"precision": 0.8682249120505635,
|
214 |
+
"recall": 0.915843763758727,
|
215 |
+
"support": 15899.0
|
216 |
},
|
217 |
+
"eval_accuracy": 0.8558507462686568,
|
218 |
+
"eval_loss": 0.5162495374679565,
|
219 |
"eval_macro avg": {
|
220 |
+
"f1-score": 0.8108037151023699,
|
221 |
+
"precision": 0.8223874556887891,
|
222 |
+
"recall": 0.8028888752304081,
|
223 |
+
"support": 33500.0
|
224 |
+
},
|
225 |
+
"eval_runtime": 4.9413,
|
226 |
+
"eval_samples_per_second": 16.392,
|
227 |
+
"eval_steps_per_second": 2.226,
|
228 |
"eval_weighted avg": {
|
229 |
+
"f1-score": 0.8519095458499607,
|
230 |
+
"precision": 0.8505509283002989,
|
231 |
+
"recall": 0.8558507462686568,
|
232 |
+
"support": 33500.0
|
233 |
},
|
234 |
"step": 405
|
235 |
},
|
236 |
{
|
237 |
"epoch": 6.0,
|
238 |
"eval_Claim": {
|
239 |
+
"f1-score": 0.646279703934554,
|
240 |
+
"precision": 0.6227477477477478,
|
241 |
+
"recall": 0.6716599190283401,
|
242 |
+
"support": 4940.0
|
243 |
},
|
244 |
"eval_MajorClaim": {
|
245 |
+
"f1-score": 0.8414067684140676,
|
246 |
+
"precision": 0.8152593227603944,
|
247 |
+
"recall": 0.8692870201096892,
|
248 |
+
"support": 2188.0
|
249 |
},
|
250 |
"eval_O": {
|
251 |
+
"f1-score": 0.9112506693929215,
|
252 |
+
"precision": 0.9295788637266588,
|
253 |
+
"recall": 0.8936312422419556,
|
254 |
+
"support": 10473.0
|
255 |
},
|
256 |
"eval_Premise": {
|
257 |
+
"f1-score": 0.8861383012314494,
|
258 |
+
"precision": 0.8897343224906474,
|
259 |
+
"recall": 0.8825712308950249,
|
260 |
+
"support": 15899.0
|
261 |
},
|
262 |
+
"eval_accuracy": 0.8540597014925373,
|
263 |
+
"eval_loss": 0.552895724773407,
|
264 |
"eval_macro avg": {
|
265 |
+
"f1-score": 0.8212688607432481,
|
266 |
+
"precision": 0.8143300641813621,
|
267 |
+
"recall": 0.8292873530687525,
|
268 |
+
"support": 33500.0
|
269 |
+
},
|
270 |
+
"eval_runtime": 4.9336,
|
271 |
+
"eval_samples_per_second": 16.418,
|
272 |
+
"eval_steps_per_second": 2.23,
|
273 |
"eval_weighted avg": {
|
274 |
+
"f1-score": 0.8556973390614198,
|
275 |
+
"precision": 0.8579560210496036,
|
276 |
+
"recall": 0.8540597014925373,
|
277 |
+
"support": 33500.0
|
278 |
},
|
279 |
"step": 486
|
280 |
},
|
281 |
{
|
282 |
"epoch": 6.17,
|
283 |
+
"grad_norm": 9.790245056152344,
|
284 |
"learning_rate": 1.7530864197530865e-05,
|
285 |
+
"loss": 0.3328,
|
286 |
"step": 500
|
287 |
},
|
288 |
{
|
289 |
"epoch": 7.0,
|
290 |
"eval_Claim": {
|
291 |
+
"f1-score": 0.6202600808654791,
|
292 |
+
"precision": 0.6739491807171694,
|
293 |
+
"recall": 0.5744939271255061,
|
294 |
+
"support": 4940.0
|
295 |
},
|
296 |
"eval_MajorClaim": {
|
297 |
+
"f1-score": 0.8670041417395307,
|
298 |
+
"precision": 0.8730305838739574,
|
299 |
+
"recall": 0.8610603290676416,
|
300 |
+
"support": 2188.0
|
301 |
},
|
302 |
"eval_O": {
|
303 |
+
"f1-score": 0.9109892729439809,
|
304 |
+
"precision": 0.9097314797181489,
|
305 |
+
"recall": 0.9122505490308412,
|
306 |
+
"support": 10473.0
|
307 |
},
|
308 |
"eval_Premise": {
|
309 |
+
"f1-score": 0.8872356123954747,
|
310 |
+
"precision": 0.8677611401767996,
|
311 |
+
"recall": 0.9076042518397384,
|
312 |
+
"support": 15899.0
|
313 |
},
|
314 |
+
"eval_accuracy": 0.8568955223880597,
|
315 |
+
"eval_loss": 0.5894299149513245,
|
316 |
"eval_macro avg": {
|
317 |
+
"f1-score": 0.8213722769861164,
|
318 |
+
"precision": 0.8311180961215189,
|
319 |
+
"recall": 0.8138522642659318,
|
320 |
+
"support": 33500.0
|
321 |
+
},
|
322 |
+
"eval_runtime": 4.9037,
|
323 |
+
"eval_samples_per_second": 16.518,
|
324 |
+
"eval_steps_per_second": 2.243,
|
325 |
"eval_weighted avg": {
|
326 |
+
"f1-score": 0.8539713289140156,
|
327 |
+
"precision": 0.8526463291050193,
|
328 |
+
"recall": 0.8568955223880597,
|
329 |
+
"support": 33500.0
|
330 |
},
|
331 |
"step": 567
|
332 |
},
|
333 |
{
|
334 |
"epoch": 8.0,
|
335 |
"eval_Claim": {
|
336 |
+
"f1-score": 0.6441500279902966,
|
337 |
+
"precision": 0.5974385600553825,
|
338 |
+
"recall": 0.6987854251012146,
|
339 |
+
"support": 4940.0
|
340 |
},
|
341 |
"eval_MajorClaim": {
|
342 |
+
"f1-score": 0.834510811389424,
|
343 |
+
"precision": 0.7849375755134917,
|
344 |
+
"recall": 0.8907678244972578,
|
345 |
+
"support": 2188.0
|
346 |
},
|
347 |
"eval_O": {
|
348 |
+
"f1-score": 0.9059161060546101,
|
349 |
+
"precision": 0.9398542543364466,
|
350 |
+
"recall": 0.874343550081161,
|
351 |
+
"support": 10473.0
|
352 |
},
|
353 |
"eval_Premise": {
|
354 |
+
"f1-score": 0.8801401497053671,
|
355 |
+
"precision": 0.8915849251419721,
|
356 |
+
"recall": 0.8689854707843261,
|
357 |
+
"support": 15899.0
|
358 |
},
|
359 |
+
"eval_accuracy": 0.8469850746268657,
|
360 |
+
"eval_loss": 0.5878348350524902,
|
361 |
"eval_macro avg": {
|
362 |
+
"f1-score": 0.8161792737849245,
|
363 |
+
"precision": 0.8034538287618231,
|
364 |
+
"recall": 0.8332205676159898,
|
365 |
+
"support": 33500.0
|
366 |
+
},
|
367 |
+
"eval_runtime": 4.9086,
|
368 |
+
"eval_samples_per_second": 16.502,
|
369 |
+
"eval_steps_per_second": 2.241,
|
370 |
"eval_weighted avg": {
|
371 |
+
"f1-score": 0.8504184600736624,
|
372 |
+
"precision": 0.8563340964894008,
|
373 |
+
"recall": 0.8469850746268657,
|
374 |
+
"support": 33500.0
|
375 |
},
|
376 |
"step": 648
|
377 |
},
|
378 |
{
|
379 |
"epoch": 9.0,
|
380 |
"eval_Claim": {
|
381 |
+
"f1-score": 0.6323094193285029,
|
382 |
+
"precision": 0.6375797489195307,
|
383 |
+
"recall": 0.6271255060728745,
|
384 |
+
"support": 4940.0
|
385 |
},
|
386 |
"eval_MajorClaim": {
|
387 |
+
"f1-score": 0.8525914292124747,
|
388 |
+
"precision": 0.8373732921992068,
|
389 |
+
"recall": 0.8683729433272395,
|
390 |
+
"support": 2188.0
|
391 |
},
|
392 |
"eval_O": {
|
393 |
+
"f1-score": 0.9054132151801194,
|
394 |
+
"precision": 0.9134194927606647,
|
395 |
+
"recall": 0.8975460708488494,
|
396 |
+
"support": 10473.0
|
397 |
},
|
398 |
"eval_Premise": {
|
399 |
+
"f1-score": 0.8888055034396498,
|
400 |
+
"precision": 0.883775884584292,
|
401 |
+
"recall": 0.8938926976539405,
|
402 |
+
"support": 15899.0
|
403 |
},
|
404 |
+
"eval_accuracy": 0.8540298507462687,
|
405 |
+
"eval_loss": 0.7043101191520691,
|
406 |
"eval_macro avg": {
|
407 |
+
"f1-score": 0.8197798917901866,
|
408 |
+
"precision": 0.8180371046159236,
|
409 |
+
"recall": 0.821734304475726,
|
410 |
+
"support": 33500.0
|
411 |
+
},
|
412 |
+
"eval_runtime": 4.935,
|
413 |
+
"eval_samples_per_second": 16.414,
|
414 |
+
"eval_steps_per_second": 2.229,
|
415 |
"eval_weighted avg": {
|
416 |
+
"f1-score": 0.853808653145316,
|
417 |
+
"precision": 0.8537078167069386,
|
418 |
+
"recall": 0.8540298507462687,
|
419 |
+
"support": 33500.0
|
420 |
},
|
421 |
"step": 729
|
422 |
},
|
423 |
{
|
424 |
"epoch": 10.0,
|
425 |
"eval_Claim": {
|
426 |
+
"f1-score": 0.6347110795166041,
|
427 |
+
"precision": 0.6368453230079478,
|
428 |
+
"recall": 0.6325910931174089,
|
429 |
+
"support": 4940.0
|
430 |
},
|
431 |
"eval_MajorClaim": {
|
432 |
+
"f1-score": 0.8442090055381651,
|
433 |
+
"precision": 0.8921119592875318,
|
434 |
+
"recall": 0.8011882998171846,
|
435 |
+
"support": 2188.0
|
436 |
},
|
437 |
"eval_O": {
|
438 |
+
"f1-score": 0.9106677408653618,
|
439 |
+
"precision": 0.9040270982310877,
|
440 |
+
"recall": 0.9174066647569942,
|
441 |
+
"support": 10473.0
|
442 |
},
|
443 |
"eval_Premise": {
|
444 |
+
"f1-score": 0.8841656478259506,
|
445 |
+
"precision": 0.881375,
|
446 |
+
"recall": 0.8869740235234921,
|
447 |
+
"support": 15899.0
|
448 |
},
|
449 |
+
"eval_accuracy": 0.8533731343283583,
|
450 |
+
"eval_loss": 0.7164433002471924,
|
451 |
"eval_macro avg": {
|
452 |
+
"f1-score": 0.8184383684365204,
|
453 |
+
"precision": 0.8285898451316418,
|
454 |
+
"recall": 0.8095400203037699,
|
455 |
+
"support": 33500.0
|
456 |
+
},
|
457 |
+
"eval_runtime": 4.9093,
|
458 |
+
"eval_samples_per_second": 16.499,
|
459 |
+
"eval_steps_per_second": 2.241,
|
460 |
"eval_weighted avg": {
|
461 |
+
"f1-score": 0.8530559678148433,
|
462 |
+
"precision": 0.8530989190255094,
|
463 |
+
"recall": 0.8533731343283583,
|
464 |
+
"support": 33500.0
|
465 |
},
|
466 |
"step": 810
|
467 |
},
|
468 |
{
|
469 |
"epoch": 11.0,
|
470 |
"eval_Claim": {
|
471 |
+
"f1-score": 0.645658668208538,
|
472 |
+
"precision": 0.6161486113665624,
|
473 |
+
"recall": 0.6781376518218624,
|
474 |
+
"support": 4940.0
|
475 |
},
|
476 |
"eval_MajorClaim": {
|
477 |
+
"f1-score": 0.8331177231565331,
|
478 |
+
"precision": 0.7885714285714286,
|
479 |
+
"recall": 0.8829981718464351,
|
480 |
+
"support": 2188.0
|
481 |
},
|
482 |
"eval_O": {
|
483 |
+
"f1-score": 0.9059711059612445,
|
484 |
+
"precision": 0.9366843393148451,
|
485 |
+
"recall": 0.8772080588179128,
|
486 |
+
"support": 10473.0
|
487 |
},
|
488 |
"eval_Premise": {
|
489 |
+
"f1-score": 0.8902977542265961,
|
490 |
+
"precision": 0.8929452704840241,
|
491 |
+
"recall": 0.8876658909365369,
|
492 |
+
"support": 15899.0
|
493 |
},
|
494 |
+
"eval_accuracy": 0.8531940298507462,
|
495 |
+
"eval_loss": 0.7852362394332886,
|
496 |
"eval_macro avg": {
|
497 |
+
"f1-score": 0.818761312888228,
|
498 |
+
"precision": 0.8085874124342151,
|
499 |
+
"recall": 0.8315024433556868,
|
500 |
+
"support": 33500.0
|
501 |
+
},
|
502 |
+
"eval_runtime": 4.89,
|
503 |
+
"eval_samples_per_second": 16.565,
|
504 |
+
"eval_steps_per_second": 2.25,
|
505 |
"eval_weighted avg": {
|
506 |
+
"f1-score": 0.8553879040715653,
|
507 |
+
"precision": 0.8589850855801485,
|
508 |
+
"recall": 0.8531940298507462,
|
509 |
+
"support": 33500.0
|
510 |
},
|
511 |
"step": 891
|
512 |
},
|
513 |
{
|
514 |
"epoch": 12.0,
|
515 |
"eval_Claim": {
|
516 |
+
"f1-score": 0.6329215627196947,
|
517 |
+
"precision": 0.6280645804265498,
|
518 |
+
"recall": 0.6378542510121458,
|
519 |
+
"support": 4940.0
|
520 |
},
|
521 |
"eval_MajorClaim": {
|
522 |
+
"f1-score": 0.8528368794326241,
|
523 |
+
"precision": 0.8278829604130808,
|
524 |
+
"recall": 0.8793418647166362,
|
525 |
+
"support": 2188.0
|
526 |
},
|
527 |
"eval_O": {
|
528 |
+
"f1-score": 0.9126755145220234,
|
529 |
+
"precision": 0.9193064031773709,
|
530 |
+
"recall": 0.9061395970591044,
|
531 |
+
"support": 10473.0
|
532 |
},
|
533 |
"eval_Premise": {
|
534 |
+
"f1-score": 0.8876634630534112,
|
535 |
+
"precision": 0.8894291487749432,
|
536 |
+
"recall": 0.88590477388515,
|
537 |
+
"support": 15899.0
|
538 |
},
|
539 |
+
"eval_accuracy": 0.8552238805970149,
|
540 |
+
"eval_loss": 0.8324545621871948,
|
541 |
"eval_macro avg": {
|
542 |
+
"f1-score": 0.8215243549319383,
|
543 |
+
"precision": 0.8161707731979861,
|
544 |
+
"recall": 0.827310121668259,
|
545 |
+
"support": 33500.0
|
546 |
+
},
|
547 |
+
"eval_runtime": 4.8939,
|
548 |
+
"eval_samples_per_second": 16.551,
|
549 |
+
"eval_steps_per_second": 2.248,
|
550 |
"eval_weighted avg": {
|
551 |
+
"f1-score": 0.8556433335734092,
|
552 |
+
"precision": 0.8562082669116539,
|
553 |
+
"recall": 0.8552238805970149,
|
554 |
+
"support": 33500.0
|
555 |
},
|
556 |
"step": 972
|
557 |
},
|
558 |
{
|
559 |
"epoch": 12.35,
|
560 |
+
"grad_norm": 2.6090729236602783,
|
561 |
"learning_rate": 1.506172839506173e-05,
|
562 |
+
"loss": 0.0589,
|
563 |
"step": 1000
|
564 |
},
|
565 |
{
|
566 |
"epoch": 13.0,
|
567 |
"eval_Claim": {
|
568 |
+
"f1-score": 0.6431152147731835,
|
569 |
+
"precision": 0.6377388535031847,
|
570 |
+
"recall": 0.648582995951417,
|
571 |
+
"support": 4940.0
|
572 |
},
|
573 |
"eval_MajorClaim": {
|
574 |
+
"f1-score": 0.8326953388876379,
|
575 |
+
"precision": 0.8206835330670218,
|
576 |
+
"recall": 0.8450639853747715,
|
577 |
+
"support": 2188.0
|
578 |
},
|
579 |
"eval_O": {
|
580 |
+
"f1-score": 0.904438383337466,
|
581 |
+
"precision": 0.9408790755262072,
|
582 |
+
"recall": 0.8707151723479424,
|
583 |
+
"support": 10473.0
|
584 |
},
|
585 |
"eval_Premise": {
|
586 |
+
"f1-score": 0.892013567684243,
|
587 |
+
"precision": 0.8749621922448733,
|
588 |
+
"recall": 0.9097427511164224,
|
589 |
+
"support": 15899.0
|
590 |
},
|
591 |
+
"eval_accuracy": 0.8548059701492537,
|
592 |
+
"eval_loss": 0.8543176651000977,
|
593 |
"eval_macro avg": {
|
594 |
+
"f1-score": 0.8180656261706326,
|
595 |
+
"precision": 0.8185659135853218,
|
596 |
+
"recall": 0.8185262261976383,
|
597 |
+
"support": 33500.0
|
598 |
+
},
|
599 |
+
"eval_runtime": 4.9338,
|
600 |
+
"eval_samples_per_second": 16.417,
|
601 |
+
"eval_steps_per_second": 2.23,
|
602 |
"eval_weighted avg": {
|
603 |
+
"f1-score": 0.8553204019036041,
|
604 |
+
"precision": 0.8570428644520474,
|
605 |
+
"recall": 0.8548059701492537,
|
606 |
+
"support": 33500.0
|
607 |
},
|
608 |
"step": 1053
|
609 |
},
|
610 |
{
|
611 |
"epoch": 14.0,
|
612 |
"eval_Claim": {
|
613 |
+
"f1-score": 0.6541843971631205,
|
614 |
+
"precision": 0.6138420585625555,
|
615 |
+
"recall": 0.7002024291497976,
|
616 |
+
"support": 4940.0
|
617 |
},
|
618 |
"eval_MajorClaim": {
|
619 |
+
"f1-score": 0.8336528221512247,
|
620 |
+
"precision": 0.7806142800159553,
|
621 |
+
"recall": 0.8944241316270567,
|
622 |
+
"support": 2188.0
|
623 |
},
|
624 |
"eval_O": {
|
625 |
+
"f1-score": 0.9079845651528643,
|
626 |
+
"precision": 0.9421004003695719,
|
627 |
+
"recall": 0.8762532225723288,
|
628 |
+
"support": 10473.0
|
629 |
},
|
630 |
"eval_Premise": {
|
631 |
+
"f1-score": 0.889389516436096,
|
632 |
+
"precision": 0.8974194787731319,
|
633 |
+
"recall": 0.8815019812566828,
|
634 |
+
"support": 15899.0
|
635 |
},
|
636 |
+
"eval_accuracy": 0.8539701492537314,
|
637 |
+
"eval_loss": 0.9095103144645691,
|
638 |
"eval_macro avg": {
|
639 |
+
"f1-score": 0.8213028252258264,
|
640 |
+
"precision": 0.8084940544303038,
|
641 |
+
"recall": 0.8380954411514664,
|
642 |
+
"support": 33500.0
|
643 |
+
},
|
644 |
+
"eval_runtime": 4.8917,
|
645 |
+
"eval_samples_per_second": 16.559,
|
646 |
+
"eval_steps_per_second": 2.249,
|
647 |
"eval_weighted avg": {
|
648 |
+
"f1-score": 0.8568784946124219,
|
649 |
+
"precision": 0.8619418985092084,
|
650 |
+
"recall": 0.8539701492537314,
|
651 |
+
"support": 33500.0
|
652 |
},
|
653 |
"step": 1134
|
654 |
},
|
655 |
{
|
656 |
"epoch": 15.0,
|
657 |
"eval_Claim": {
|
658 |
+
"f1-score": 0.631984585741811,
|
659 |
+
"precision": 0.6332046332046332,
|
660 |
+
"recall": 0.6307692307692307,
|
661 |
+
"support": 4940.0
|
662 |
},
|
663 |
"eval_MajorClaim": {
|
664 |
+
"f1-score": 0.8264781491002571,
|
665 |
+
"precision": 0.7778225806451613,
|
666 |
+
"recall": 0.8816270566727605,
|
667 |
+
"support": 2188.0
|
668 |
},
|
669 |
"eval_O": {
|
670 |
+
"f1-score": 0.8970963775654971,
|
671 |
+
"precision": 0.8886910896655111,
|
672 |
+
"recall": 0.9056621789363124,
|
673 |
+
"support": 10473.0
|
674 |
},
|
675 |
"eval_Premise": {
|
676 |
+
"f1-score": 0.8838946528332003,
|
677 |
+
"precision": 0.8974458706080644,
|
678 |
+
"recall": 0.8707465878357129,
|
679 |
+
"support": 15899.0
|
680 |
},
|
681 |
+
"eval_accuracy": 0.8469850746268657,
|
682 |
+
"eval_loss": 0.9576827883720398,
|
683 |
"eval_macro avg": {
|
684 |
+
"f1-score": 0.8098634413101913,
|
685 |
+
"precision": 0.7992910435308425,
|
686 |
+
"recall": 0.8222012635535042,
|
687 |
+
"support": 33500.0
|
688 |
+
},
|
689 |
+
"eval_runtime": 4.8883,
|
690 |
+
"eval_samples_per_second": 16.57,
|
691 |
+
"eval_steps_per_second": 2.25,
|
692 |
"eval_weighted avg": {
|
693 |
+
"f1-score": 0.8471244624308779,
|
694 |
+
"precision": 0.8479301603984184,
|
695 |
+
"recall": 0.8469850746268657,
|
696 |
+
"support": 33500.0
|
697 |
},
|
698 |
"step": 1215
|
699 |
},
|
700 |
{
|
701 |
"epoch": 16.0,
|
702 |
"eval_Claim": {
|
703 |
+
"f1-score": 0.6332942805410586,
|
704 |
+
"precision": 0.6682400539447066,
|
705 |
+
"recall": 0.6018218623481781,
|
706 |
+
"support": 4940.0
|
707 |
},
|
708 |
"eval_MajorClaim": {
|
709 |
+
"f1-score": 0.8478211270819075,
|
710 |
+
"precision": 0.8464692482915718,
|
711 |
+
"recall": 0.8491773308957953,
|
712 |
+
"support": 2188.0
|
713 |
},
|
714 |
"eval_O": {
|
715 |
+
"f1-score": 0.9089773764349872,
|
716 |
+
"precision": 0.9145563502803016,
|
717 |
+
"recall": 0.9034660555714695,
|
718 |
+
"support": 10473.0
|
719 |
},
|
720 |
"eval_Premise": {
|
721 |
+
"f1-score": 0.8924681415656145,
|
722 |
+
"precision": 0.8759539672925499,
|
723 |
+
"recall": 0.9096169570413234,
|
724 |
+
"support": 15899.0
|
725 |
},
|
726 |
+
"eval_accuracy": 0.8583582089552239,
|
727 |
+
"eval_loss": 0.9394893646240234,
|
728 |
"eval_macro avg": {
|
729 |
+
"f1-score": 0.8206402314058919,
|
730 |
+
"precision": 0.8263049049522826,
|
731 |
+
"recall": 0.8160205514641916,
|
732 |
+
"support": 33500.0
|
733 |
+
},
|
734 |
+
"eval_runtime": 4.896,
|
735 |
+
"eval_samples_per_second": 16.544,
|
736 |
+
"eval_steps_per_second": 2.247,
|
737 |
"eval_weighted avg": {
|
738 |
+
"f1-score": 0.8564948483009961,
|
739 |
+
"precision": 0.8554663093796615,
|
740 |
+
"recall": 0.8583582089552239,
|
741 |
+
"support": 33500.0
|
742 |
},
|
743 |
"step": 1296
|
744 |
},
|
745 |
{
|
746 |
"epoch": 17.0,
|
747 |
"eval_Claim": {
|
748 |
+
"f1-score": 0.6431561322729175,
|
749 |
+
"precision": 0.6657279029462738,
|
750 |
+
"recall": 0.6220647773279352,
|
751 |
+
"support": 4940.0
|
752 |
},
|
753 |
"eval_MajorClaim": {
|
754 |
+
"f1-score": 0.8454073572556984,
|
755 |
+
"precision": 0.8350423539901917,
|
756 |
+
"recall": 0.8560329067641682,
|
757 |
+
"support": 2188.0
|
758 |
},
|
759 |
"eval_O": {
|
760 |
+
"f1-score": 0.909496556407023,
|
761 |
+
"precision": 0.9241991128634796,
|
762 |
+
"recall": 0.8952544638594481,
|
763 |
+
"support": 10473.0
|
764 |
},
|
765 |
"eval_Premise": {
|
766 |
+
"f1-score": 0.8953850902917116,
|
767 |
+
"precision": 0.8791828322017459,
|
768 |
+
"recall": 0.9121957355808541,
|
769 |
+
"support": 15899.0
|
770 |
},
|
771 |
+
"eval_accuracy": 0.8604477611940299,
|
772 |
+
"eval_loss": 0.9581068754196167,
|
773 |
"eval_macro avg": {
|
774 |
+
"f1-score": 0.8233612840568376,
|
775 |
+
"precision": 0.8260380505004228,
|
776 |
+
"recall": 0.8213869708831014,
|
777 |
+
"support": 33500.0
|
778 |
+
},
|
779 |
+
"eval_runtime": 4.8973,
|
780 |
+
"eval_samples_per_second": 16.54,
|
781 |
+
"eval_steps_per_second": 2.246,
|
782 |
"eval_weighted avg": {
|
783 |
+
"f1-score": 0.859338136623951,
|
784 |
+
"precision": 0.8588965274411914,
|
785 |
+
"recall": 0.8604477611940299,
|
786 |
+
"support": 33500.0
|
787 |
},
|
788 |
"step": 1377
|
789 |
},
|
790 |
{
|
791 |
"epoch": 18.0,
|
792 |
"eval_Claim": {
|
793 |
+
"f1-score": 0.6493941483597675,
|
794 |
+
"precision": 0.632508155824218,
|
795 |
+
"recall": 0.6672064777327935,
|
796 |
+
"support": 4940.0
|
797 |
},
|
798 |
"eval_MajorClaim": {
|
799 |
+
"f1-score": 0.8654810761513908,
|
800 |
+
"precision": 0.8635122838944495,
|
801 |
+
"recall": 0.8674588665447898,
|
802 |
+
"support": 2188.0
|
803 |
},
|
804 |
"eval_O": {
|
805 |
+
"f1-score": 0.9125304729400293,
|
806 |
+
"precision": 0.9323503038756601,
|
807 |
+
"recall": 0.8935357586173971,
|
808 |
+
"support": 10473.0
|
809 |
},
|
810 |
"eval_Premise": {
|
811 |
+
"f1-score": 0.8928739085531874,
|
812 |
+
"precision": 0.8885635978572318,
|
813 |
+
"recall": 0.8972262406440656,
|
814 |
+
"support": 15899.0
|
815 |
},
|
816 |
+
"eval_accuracy": 0.8602089552238806,
|
817 |
+
"eval_loss": 0.9848275184631348,
|
818 |
"eval_macro avg": {
|
819 |
+
"f1-score": 0.8300699015010937,
|
820 |
+
"precision": 0.8292335853628898,
|
821 |
+
"recall": 0.8313568358847614,
|
822 |
+
"support": 33500.0
|
823 |
+
},
|
824 |
+
"eval_runtime": 4.9301,
|
825 |
+
"eval_samples_per_second": 16.43,
|
826 |
+
"eval_steps_per_second": 2.231,
|
827 |
"eval_weighted avg": {
|
828 |
+
"f1-score": 0.8613257791852104,
|
829 |
+
"precision": 0.8628576878135704,
|
830 |
+
"recall": 0.8602089552238806,
|
831 |
+
"support": 33500.0
|
832 |
},
|
833 |
"step": 1458
|
834 |
},
|
835 |
{
|
836 |
"epoch": 18.52,
|
837 |
+
"grad_norm": 1.7008241415023804,
|
838 |
"learning_rate": 1.2592592592592593e-05,
|
839 |
+
"loss": 0.0216,
|
840 |
"step": 1500
|
841 |
},
|
842 |
{
|
843 |
"epoch": 19.0,
|
844 |
"eval_Claim": {
|
845 |
+
"f1-score": 0.6404391582799633,
|
846 |
+
"precision": 0.6432509699816213,
|
847 |
+
"recall": 0.6376518218623481,
|
848 |
+
"support": 4940.0
|
849 |
},
|
850 |
"eval_MajorClaim": {
|
851 |
+
"f1-score": 0.8286799195890104,
|
852 |
+
"precision": 0.8103975535168195,
|
853 |
+
"recall": 0.8478062157221207,
|
854 |
+
"support": 2188.0
|
855 |
},
|
856 |
"eval_O": {
|
857 |
+
"f1-score": 0.9006844397645144,
|
858 |
+
"precision": 0.9029750479846449,
|
859 |
+
"recall": 0.898405423469875,
|
860 |
+
"support": 10473.0
|
861 |
},
|
862 |
"eval_Premise": {
|
863 |
+
"f1-score": 0.8906363035888403,
|
864 |
+
"precision": 0.8907763936076507,
|
865 |
+
"recall": 0.8904962576262658,
|
866 |
+
"support": 15899.0
|
867 |
},
|
868 |
+
"eval_accuracy": 0.8528955223880597,
|
869 |
+
"eval_loss": 1.0161080360412598,
|
870 |
"eval_macro avg": {
|
871 |
+
"f1-score": 0.8151099553055821,
|
872 |
+
"precision": 0.8118499912726841,
|
873 |
+
"recall": 0.8185899296701524,
|
874 |
+
"support": 33500.0
|
875 |
+
},
|
876 |
+
"eval_runtime": 4.8924,
|
877 |
+
"eval_samples_per_second": 16.556,
|
878 |
+
"eval_steps_per_second": 2.248,
|
879 |
"eval_weighted avg": {
|
880 |
+
"f1-score": 0.8528362935634777,
|
881 |
+
"precision": 0.8528394387556787,
|
882 |
+
"recall": 0.8528955223880597,
|
883 |
+
"support": 33500.0
|
884 |
},
|
885 |
"step": 1539
|
886 |
},
|
887 |
{
|
888 |
"epoch": 20.0,
|
889 |
"eval_Claim": {
|
890 |
+
"f1-score": 0.650995688770273,
|
891 |
+
"precision": 0.6603498542274052,
|
892 |
+
"recall": 0.6419028340080971,
|
893 |
+
"support": 4940.0
|
894 |
},
|
895 |
"eval_MajorClaim": {
|
896 |
+
"f1-score": 0.8586199145875477,
|
897 |
+
"precision": 0.8447589562140646,
|
898 |
+
"recall": 0.8729433272394881,
|
899 |
+
"support": 2188.0
|
900 |
},
|
901 |
"eval_O": {
|
902 |
+
"f1-score": 0.9104241552839684,
|
903 |
+
"precision": 0.913972286374134,
|
904 |
+
"recall": 0.9069034660555715,
|
905 |
+
"support": 10473.0
|
906 |
},
|
907 |
"eval_Premise": {
|
908 |
+
"f1-score": 0.8906836964688204,
|
909 |
+
"precision": 0.8866313493300093,
|
910 |
+
"recall": 0.894773256179634,
|
911 |
+
"support": 15899.0
|
912 |
},
|
913 |
+
"eval_accuracy": 0.8598507462686568,
|
914 |
+
"eval_loss": 0.9872655272483826,
|
915 |
"eval_macro avg": {
|
916 |
+
"f1-score": 0.8276808637776524,
|
917 |
+
"precision": 0.8264281115364033,
|
918 |
+
"recall": 0.8291307208706977,
|
919 |
+
"support": 33500.0
|
920 |
+
},
|
921 |
+
"eval_runtime": 4.9351,
|
922 |
+
"eval_samples_per_second": 16.413,
|
923 |
+
"eval_steps_per_second": 2.229,
|
924 |
"eval_weighted avg": {
|
925 |
+
"f1-score": 0.8594158610175964,
|
926 |
+
"precision": 0.8590759538589217,
|
927 |
+
"recall": 0.8598507462686568,
|
928 |
+
"support": 33500.0
|
929 |
},
|
930 |
"step": 1620
|
931 |
},
|
932 |
{
|
933 |
"epoch": 21.0,
|
934 |
"eval_Claim": {
|
935 |
+
"f1-score": 0.6439562566534404,
|
936 |
+
"precision": 0.6169108103096607,
|
937 |
+
"recall": 0.6734817813765183,
|
938 |
+
"support": 4940.0
|
939 |
},
|
940 |
"eval_MajorClaim": {
|
941 |
+
"f1-score": 0.8524001794526693,
|
942 |
+
"precision": 0.8370044052863436,
|
943 |
+
"recall": 0.8683729433272395,
|
944 |
+
"support": 2188.0
|
945 |
},
|
946 |
"eval_O": {
|
947 |
+
"f1-score": 0.9078541717641301,
|
948 |
+
"precision": 0.9311383256374222,
|
949 |
+
"recall": 0.8857061014036093,
|
950 |
+
"support": 10473.0
|
951 |
},
|
952 |
"eval_Premise": {
|
953 |
+
"f1-score": 0.8851262038144394,
|
954 |
+
"precision": 0.8857952755905512,
|
955 |
+
"recall": 0.8844581420215107,
|
956 |
+
"support": 15899.0
|
957 |
},
|
958 |
+
"eval_accuracy": 0.8526865671641791,
|
959 |
+
"eval_loss": 1.0280390977859497,
|
960 |
"eval_macro avg": {
|
961 |
+
"f1-score": 0.8223342029211698,
|
962 |
+
"precision": 0.8177122042059943,
|
963 |
+
"recall": 0.8280047420322194,
|
964 |
+
"support": 33500.0
|
965 |
+
},
|
966 |
+
"eval_runtime": 4.9316,
|
967 |
+
"eval_samples_per_second": 16.425,
|
968 |
+
"eval_steps_per_second": 2.231,
|
969 |
"eval_weighted avg": {
|
970 |
+
"f1-score": 0.8545305598758789,
|
971 |
+
"precision": 0.8571336063495862,
|
972 |
+
"recall": 0.8526865671641791,
|
973 |
+
"support": 33500.0
|
974 |
},
|
975 |
"step": 1701
|
976 |
},
|
977 |
{
|
978 |
"epoch": 22.0,
|
979 |
"eval_Claim": {
|
980 |
+
"f1-score": 0.6535234899328859,
|
981 |
+
"precision": 0.6779808529155787,
|
982 |
+
"recall": 0.6307692307692307,
|
983 |
+
"support": 4940.0
|
984 |
},
|
985 |
"eval_MajorClaim": {
|
986 |
+
"f1-score": 0.8511305126483099,
|
987 |
+
"precision": 0.8341377797279509,
|
988 |
+
"recall": 0.8688299817184644,
|
989 |
+
"support": 2188.0
|
990 |
},
|
991 |
"eval_O": {
|
992 |
+
"f1-score": 0.9092228079508632,
|
993 |
+
"precision": 0.9212073696589572,
|
994 |
+
"recall": 0.8975460708488494,
|
995 |
+
"support": 10473.0
|
996 |
},
|
997 |
"eval_Premise": {
|
998 |
+
"f1-score": 0.8968440594059406,
|
999 |
+
"precision": 0.882589367273613,
|
1000 |
+
"recall": 0.9115667652053588,
|
1001 |
+
"support": 15899.0
|
1002 |
},
|
1003 |
+
"eval_accuracy": 0.8629850746268657,
|
1004 |
+
"eval_loss": 1.0620397329330444,
|
1005 |
"eval_macro avg": {
|
1006 |
+
"f1-score": 0.8276802174844999,
|
1007 |
+
"precision": 0.828978842394025,
|
1008 |
+
"recall": 0.8271780121354758,
|
1009 |
+
"support": 33500.0
|
1010 |
+
},
|
1011 |
+
"eval_runtime": 4.8953,
|
1012 |
+
"eval_samples_per_second": 16.546,
|
1013 |
+
"eval_steps_per_second": 2.247,
|
1014 |
"eval_weighted avg": {
|
1015 |
+
"f1-score": 0.8618475752270865,
|
1016 |
+
"precision": 0.8613257315871389,
|
1017 |
+
"recall": 0.8629850746268657,
|
1018 |
+
"support": 33500.0
|
1019 |
},
|
1020 |
"step": 1782
|
1021 |
},
|
1022 |
{
|
1023 |
"epoch": 23.0,
|
1024 |
"eval_Claim": {
|
1025 |
+
"f1-score": 0.6436781609195402,
|
1026 |
+
"precision": 0.5858518764530056,
|
1027 |
+
"recall": 0.71417004048583,
|
1028 |
+
"support": 4940.0
|
1029 |
},
|
1030 |
"eval_MajorClaim": {
|
1031 |
+
"f1-score": 0.8615044247787611,
|
1032 |
+
"precision": 0.8349056603773585,
|
1033 |
+
"recall": 0.8898537477148081,
|
1034 |
+
"support": 2188.0
|
1035 |
},
|
1036 |
"eval_O": {
|
1037 |
+
"f1-score": 0.9092565073582283,
|
1038 |
+
"precision": 0.9129765113592607,
|
1039 |
+
"recall": 0.905566695311754,
|
1040 |
+
"support": 10473.0
|
1041 |
},
|
1042 |
"eval_Premise": {
|
1043 |
+
"f1-score": 0.873210033597547,
|
1044 |
+
"precision": 0.9069657135113159,
|
1045 |
+
"recall": 0.841876847600478,
|
1046 |
+
"support": 15899.0
|
1047 |
},
|
1048 |
+
"eval_accuracy": 0.846089552238806,
|
1049 |
+
"eval_loss": 1.189612627029419,
|
1050 |
"eval_macro avg": {
|
1051 |
+
"f1-score": 0.8219122816635192,
|
1052 |
+
"precision": 0.8101749404252352,
|
1053 |
+
"recall": 0.8378668327782175,
|
1054 |
+
"support": 33500.0
|
1055 |
+
},
|
1056 |
+
"eval_runtime": 4.9275,
|
1057 |
+
"eval_samples_per_second": 16.438,
|
1058 |
+
"eval_steps_per_second": 2.232,
|
1059 |
"eval_weighted avg": {
|
1060 |
+
"f1-score": 0.8498672096145845,
|
1061 |
+
"precision": 0.8567860518556853,
|
1062 |
+
"recall": 0.846089552238806,
|
1063 |
+
"support": 33500.0
|
1064 |
},
|
1065 |
"step": 1863
|
1066 |
}
|
|
|
1070 |
"num_input_tokens_seen": 0,
|
1071 |
"num_train_epochs": 50,
|
1072 |
"save_steps": 500,
|
1073 |
+
"total_flos": 3296870228950200.0,
|
1074 |
"train_batch_size": 4,
|
1075 |
"trial_name": null,
|
1076 |
"trial_params": null
|
checkpoint-1863/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:da575726aa6fb9f10d3d3191c16916e8d9dc133cfc573c1d27486b346adcb4eb
|
3 |
size 4856
|