Theoreticallyhugo
commited on
Commit
•
2af287e
1
Parent(s):
b4e40ff
Training in progress, epoch 28, checkpoint
Browse files
checkpoint-2268/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 sha256:18c28943ad544b515e3e745c8c86fda952cfa8de1e3aea935729dbd2413c06c7
|
3 |
size 592324828
|
checkpoint-2268/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 sha256:0f04b9ef077075d35857660d929141a7913777f0ae36bd81de0e6e210ad65990
|
3 |
size 1014657786
|
checkpoint-2268/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 sha256:004048e288bbee75428581268c328acc7f061a28654aa455448ee1e0a3e935ba
|
3 |
size 14244
|
checkpoint-2268/trainer_state.json
CHANGED
@@ -11,1288 +11,1288 @@
|
|
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": 0.
|
683 |
"eval_macro avg": {
|
684 |
-
"f1-score": 0.
|
685 |
-
"precision": 0.
|
686 |
-
"recall": 0.
|
687 |
-
"support":
|
688 |
-
},
|
689 |
-
"eval_runtime": 4.
|
690 |
-
"eval_samples_per_second": 16.
|
691 |
-
"eval_steps_per_second": 2.
|
692 |
"eval_weighted avg": {
|
693 |
-
"f1-score": 0.
|
694 |
-
"precision": 0.
|
695 |
-
"recall": 0.
|
696 |
-
"support":
|
697 |
},
|
698 |
"step": 1215
|
699 |
},
|
700 |
{
|
701 |
"epoch": 16.0,
|
702 |
"eval_Claim": {
|
703 |
-
"f1-score": 0.
|
704 |
-
"precision": 0.
|
705 |
-
"recall": 0.
|
706 |
-
"support":
|
707 |
},
|
708 |
"eval_MajorClaim": {
|
709 |
-
"f1-score": 0.
|
710 |
-
"precision": 0.
|
711 |
-
"recall": 0.
|
712 |
-
"support":
|
713 |
},
|
714 |
"eval_O": {
|
715 |
-
"f1-score": 0.
|
716 |
-
"precision": 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":
|
870 |
"eval_macro avg": {
|
871 |
-
"f1-score": 0.
|
872 |
-
"precision": 0.
|
873 |
-
"recall": 0.
|
874 |
-
"support":
|
875 |
-
},
|
876 |
-
"eval_runtime": 4.
|
877 |
-
"eval_samples_per_second": 16.
|
878 |
-
"eval_steps_per_second": 2.
|
879 |
"eval_weighted avg": {
|
880 |
-
"f1-score": 0.
|
881 |
-
"precision": 0.
|
882 |
-
"recall": 0.
|
883 |
-
"support":
|
884 |
},
|
885 |
"step": 1539
|
886 |
},
|
887 |
{
|
888 |
"epoch": 20.0,
|
889 |
"eval_Claim": {
|
890 |
-
"f1-score": 0.
|
891 |
-
"precision": 0.
|
892 |
-
"recall": 0.
|
893 |
-
"support":
|
894 |
},
|
895 |
"eval_MajorClaim": {
|
896 |
-
"f1-score": 0.
|
897 |
-
"precision": 0.
|
898 |
-
"recall": 0.
|
899 |
-
"support":
|
900 |
},
|
901 |
"eval_O": {
|
902 |
-
"f1-score": 0.
|
903 |
-
"precision": 0.
|
904 |
-
"recall": 0.
|
905 |
-
"support":
|
906 |
},
|
907 |
"eval_Premise": {
|
908 |
-
"f1-score": 0.
|
909 |
-
"precision": 0.
|
910 |
-
"recall": 0.
|
911 |
-
"support":
|
912 |
},
|
913 |
-
"eval_accuracy": 0.
|
914 |
-
"eval_loss": 0.
|
915 |
"eval_macro avg": {
|
916 |
-
"f1-score": 0.
|
917 |
-
"precision": 0.
|
918 |
-
"recall": 0.
|
919 |
-
"support":
|
920 |
-
},
|
921 |
-
"eval_runtime": 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":
|
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 |
},
|
1067 |
{
|
1068 |
"epoch": 24.0,
|
1069 |
"eval_Claim": {
|
1070 |
-
"f1-score": 0.
|
1071 |
-
"precision": 0.
|
1072 |
-
"recall": 0.
|
1073 |
-
"support":
|
1074 |
},
|
1075 |
"eval_MajorClaim": {
|
1076 |
-
"f1-score": 0.
|
1077 |
-
"precision": 0.
|
1078 |
-
"recall": 0.
|
1079 |
-
"support":
|
1080 |
},
|
1081 |
"eval_O": {
|
1082 |
-
"f1-score": 0.
|
1083 |
-
"precision": 0.
|
1084 |
-
"recall": 0.
|
1085 |
-
"support":
|
1086 |
},
|
1087 |
"eval_Premise": {
|
1088 |
-
"f1-score": 0.
|
1089 |
-
"precision": 0.
|
1090 |
-
"recall": 0.
|
1091 |
-
"support":
|
1092 |
},
|
1093 |
-
"eval_accuracy": 0.
|
1094 |
-
"eval_loss": 1.
|
1095 |
"eval_macro avg": {
|
1096 |
-
"f1-score": 0.
|
1097 |
-
"precision": 0.
|
1098 |
-
"recall": 0.
|
1099 |
-
"support":
|
1100 |
-
},
|
1101 |
-
"eval_runtime": 4.
|
1102 |
-
"eval_samples_per_second": 16.
|
1103 |
-
"eval_steps_per_second": 2.
|
1104 |
"eval_weighted avg": {
|
1105 |
-
"f1-score": 0.
|
1106 |
-
"precision": 0.
|
1107 |
-
"recall": 0.
|
1108 |
-
"support":
|
1109 |
},
|
1110 |
"step": 1944
|
1111 |
},
|
1112 |
{
|
1113 |
"epoch": 24.69,
|
1114 |
-
"grad_norm": 0.
|
1115 |
"learning_rate": 1.0123456790123458e-05,
|
1116 |
-
"loss": 0.
|
1117 |
"step": 2000
|
1118 |
},
|
1119 |
{
|
1120 |
"epoch": 25.0,
|
1121 |
"eval_Claim": {
|
1122 |
-
"f1-score": 0.
|
1123 |
-
"precision": 0.
|
1124 |
-
"recall": 0.
|
1125 |
-
"support":
|
1126 |
},
|
1127 |
"eval_MajorClaim": {
|
1128 |
-
"f1-score": 0.
|
1129 |
-
"precision": 0.
|
1130 |
-
"recall": 0.
|
1131 |
-
"support":
|
1132 |
},
|
1133 |
"eval_O": {
|
1134 |
-
"f1-score": 0.
|
1135 |
-
"precision": 0.
|
1136 |
-
"recall": 0.
|
1137 |
-
"support":
|
1138 |
},
|
1139 |
"eval_Premise": {
|
1140 |
-
"f1-score": 0.
|
1141 |
-
"precision": 0.
|
1142 |
-
"recall": 0.
|
1143 |
-
"support":
|
1144 |
},
|
1145 |
-
"eval_accuracy": 0.
|
1146 |
-
"eval_loss": 1.
|
1147 |
"eval_macro avg": {
|
1148 |
-
"f1-score": 0.
|
1149 |
-
"precision": 0.
|
1150 |
-
"recall": 0.
|
1151 |
-
"support":
|
1152 |
-
},
|
1153 |
-
"eval_runtime": 4.
|
1154 |
-
"eval_samples_per_second": 16.
|
1155 |
-
"eval_steps_per_second": 2.
|
1156 |
"eval_weighted avg": {
|
1157 |
-
"f1-score": 0.
|
1158 |
-
"precision": 0.
|
1159 |
-
"recall": 0.
|
1160 |
-
"support":
|
1161 |
},
|
1162 |
"step": 2025
|
1163 |
},
|
1164 |
{
|
1165 |
"epoch": 26.0,
|
1166 |
"eval_Claim": {
|
1167 |
-
"f1-score": 0.
|
1168 |
-
"precision": 0.
|
1169 |
-
"recall": 0.
|
1170 |
-
"support":
|
1171 |
},
|
1172 |
"eval_MajorClaim": {
|
1173 |
-
"f1-score": 0.
|
1174 |
-
"precision": 0.
|
1175 |
-
"recall": 0.
|
1176 |
-
"support":
|
1177 |
},
|
1178 |
"eval_O": {
|
1179 |
-
"f1-score": 0.
|
1180 |
-
"precision": 0.
|
1181 |
-
"recall": 0.
|
1182 |
-
"support":
|
1183 |
},
|
1184 |
"eval_Premise": {
|
1185 |
-
"f1-score": 0.
|
1186 |
-
"precision": 0.
|
1187 |
-
"recall": 0.
|
1188 |
-
"support":
|
1189 |
},
|
1190 |
-
"eval_accuracy": 0.
|
1191 |
-
"eval_loss": 1.
|
1192 |
"eval_macro avg": {
|
1193 |
-
"f1-score": 0.
|
1194 |
-
"precision": 0.
|
1195 |
-
"recall": 0.
|
1196 |
-
"support":
|
1197 |
-
},
|
1198 |
-
"eval_runtime": 4.
|
1199 |
-
"eval_samples_per_second": 16.
|
1200 |
-
"eval_steps_per_second": 2.
|
1201 |
"eval_weighted avg": {
|
1202 |
-
"f1-score": 0.
|
1203 |
-
"precision": 0.
|
1204 |
-
"recall": 0.
|
1205 |
-
"support":
|
1206 |
},
|
1207 |
"step": 2106
|
1208 |
},
|
1209 |
{
|
1210 |
"epoch": 27.0,
|
1211 |
"eval_Claim": {
|
1212 |
-
"f1-score": 0.
|
1213 |
-
"precision": 0.
|
1214 |
-
"recall": 0.
|
1215 |
-
"support":
|
1216 |
},
|
1217 |
"eval_MajorClaim": {
|
1218 |
-
"f1-score": 0.
|
1219 |
-
"precision": 0.
|
1220 |
-
"recall": 0.
|
1221 |
-
"support":
|
1222 |
},
|
1223 |
"eval_O": {
|
1224 |
-
"f1-score": 0.
|
1225 |
-
"precision": 0.
|
1226 |
-
"recall": 0.
|
1227 |
-
"support":
|
1228 |
},
|
1229 |
"eval_Premise": {
|
1230 |
-
"f1-score": 0.
|
1231 |
-
"precision": 0.
|
1232 |
-
"recall": 0.
|
1233 |
-
"support":
|
1234 |
},
|
1235 |
-
"eval_accuracy": 0.
|
1236 |
-
"eval_loss": 1.
|
1237 |
"eval_macro avg": {
|
1238 |
-
"f1-score": 0.
|
1239 |
-
"precision": 0.
|
1240 |
-
"recall": 0.
|
1241 |
-
"support":
|
1242 |
-
},
|
1243 |
-
"eval_runtime": 4.
|
1244 |
-
"eval_samples_per_second": 16.
|
1245 |
-
"eval_steps_per_second": 2.
|
1246 |
"eval_weighted avg": {
|
1247 |
-
"f1-score": 0.
|
1248 |
-
"precision": 0.
|
1249 |
-
"recall": 0.
|
1250 |
-
"support":
|
1251 |
},
|
1252 |
"step": 2187
|
1253 |
},
|
1254 |
{
|
1255 |
"epoch": 28.0,
|
1256 |
"eval_Claim": {
|
1257 |
-
"f1-score": 0.
|
1258 |
-
"precision": 0.
|
1259 |
-
"recall": 0.
|
1260 |
-
"support":
|
1261 |
},
|
1262 |
"eval_MajorClaim": {
|
1263 |
-
"f1-score": 0.
|
1264 |
-
"precision": 0.
|
1265 |
-
"recall": 0.
|
1266 |
-
"support":
|
1267 |
},
|
1268 |
"eval_O": {
|
1269 |
-
"f1-score": 0.
|
1270 |
-
"precision": 0.
|
1271 |
-
"recall": 0.
|
1272 |
-
"support":
|
1273 |
},
|
1274 |
"eval_Premise": {
|
1275 |
-
"f1-score": 0.
|
1276 |
-
"precision": 0.
|
1277 |
-
"recall": 0.
|
1278 |
-
"support":
|
1279 |
},
|
1280 |
-
"eval_accuracy": 0.
|
1281 |
-
"eval_loss": 1.
|
1282 |
"eval_macro avg": {
|
1283 |
-
"f1-score": 0.
|
1284 |
-
"precision": 0.
|
1285 |
-
"recall": 0.
|
1286 |
-
"support":
|
1287 |
-
},
|
1288 |
-
"eval_runtime": 4.
|
1289 |
-
"eval_samples_per_second": 16.
|
1290 |
-
"eval_steps_per_second": 2.
|
1291 |
"eval_weighted avg": {
|
1292 |
-
"f1-score": 0.
|
1293 |
-
"precision": 0.
|
1294 |
-
"recall": 0.
|
1295 |
-
"support":
|
1296 |
},
|
1297 |
"step": 2268
|
1298 |
}
|
@@ -1302,7 +1302,7 @@
|
|
1302 |
"num_input_tokens_seen": 0,
|
1303 |
"num_train_epochs": 50,
|
1304 |
"save_steps": 500,
|
1305 |
-
"total_flos":
|
1306 |
"train_batch_size": 4,
|
1307 |
"trial_name": null,
|
1308 |
"trial_params": null
|
|
|
11 |
{
|
12 |
"epoch": 1.0,
|
13 |
"eval_Claim": {
|
14 |
+
"f1-score": 0.41092129347162903,
|
15 |
+
"precision": 0.5640703517587939,
|
16 |
+
"recall": 0.32317658349328215,
|
17 |
+
"support": 4168.0
|
18 |
},
|
19 |
"eval_MajorClaim": {
|
20 |
+
"f1-score": 0.6523102655237298,
|
21 |
+
"precision": 0.5929304446978335,
|
22 |
+
"recall": 0.724907063197026,
|
23 |
+
"support": 2152.0
|
24 |
},
|
25 |
"eval_O": {
|
26 |
+
"f1-score": 0.8834432924913603,
|
27 |
+
"precision": 0.8545380875202593,
|
28 |
+
"recall": 0.9143724257533059,
|
29 |
+
"support": 9226.0
|
30 |
},
|
31 |
"eval_Premise": {
|
32 |
+
"f1-score": 0.8664166767469054,
|
33 |
+
"precision": 0.8441231929604023,
|
34 |
+
"recall": 0.8899196554294707,
|
35 |
+
"support": 12073.0
|
36 |
},
|
37 |
+
"eval_accuracy": 0.7997031029363844,
|
38 |
+
"eval_loss": 0.5104541182518005,
|
39 |
"eval_macro avg": {
|
40 |
+
"f1-score": 0.7032728820584061,
|
41 |
+
"precision": 0.7139155192343223,
|
42 |
+
"recall": 0.7130939319682712,
|
43 |
+
"support": 27619.0
|
44 |
+
},
|
45 |
+
"eval_runtime": 4.7759,
|
46 |
+
"eval_samples_per_second": 16.751,
|
47 |
+
"eval_steps_per_second": 2.094,
|
48 |
"eval_weighted avg": {
|
49 |
+
"f1-score": 0.7866826459135919,
|
50 |
+
"precision": 0.7857670171690952,
|
51 |
+
"recall": 0.7997031029363844,
|
52 |
+
"support": 27619.0
|
53 |
},
|
54 |
"step": 81
|
55 |
},
|
56 |
{
|
57 |
"epoch": 2.0,
|
58 |
"eval_Claim": {
|
59 |
+
"f1-score": 0.5200312174817897,
|
60 |
+
"precision": 0.5678977272727272,
|
61 |
+
"recall": 0.47960652591170827,
|
62 |
+
"support": 4168.0
|
63 |
},
|
64 |
"eval_MajorClaim": {
|
65 |
+
"f1-score": 0.7526302911671151,
|
66 |
+
"precision": 0.7948320413436692,
|
67 |
+
"recall": 0.7146840148698885,
|
68 |
+
"support": 2152.0
|
69 |
},
|
70 |
"eval_O": {
|
71 |
+
"f1-score": 0.9116096466629278,
|
72 |
+
"precision": 0.944560669456067,
|
73 |
+
"recall": 0.8808801213960546,
|
74 |
+
"support": 9226.0
|
75 |
},
|
76 |
"eval_Premise": {
|
77 |
+
"f1-score": 0.8738735224125151,
|
78 |
+
"precision": 0.8259587020648967,
|
79 |
+
"recall": 0.9276898865236478,
|
80 |
+
"support": 12073.0
|
81 |
},
|
82 |
+
"eval_accuracy": 0.8278359100619139,
|
83 |
+
"eval_loss": 0.44692954421043396,
|
84 |
"eval_macro avg": {
|
85 |
+
"f1-score": 0.7645361694310869,
|
86 |
+
"precision": 0.7833122850343401,
|
87 |
+
"recall": 0.7507151371753248,
|
88 |
+
"support": 27619.0
|
89 |
+
},
|
90 |
+
"eval_runtime": 4.7439,
|
91 |
+
"eval_samples_per_second": 16.864,
|
92 |
+
"eval_steps_per_second": 2.108,
|
93 |
"eval_weighted avg": {
|
94 |
+
"f1-score": 0.8236335905447046,
|
95 |
+
"precision": 0.8242076985653165,
|
96 |
+
"recall": 0.8278359100619139,
|
97 |
+
"support": 27619.0
|
98 |
},
|
99 |
"step": 162
|
100 |
},
|
101 |
{
|
102 |
"epoch": 3.0,
|
103 |
"eval_Claim": {
|
104 |
+
"f1-score": 0.6218357913273168,
|
105 |
+
"precision": 0.5744204961366409,
|
106 |
+
"recall": 0.6777831094049904,
|
107 |
+
"support": 4168.0
|
108 |
},
|
109 |
"eval_MajorClaim": {
|
110 |
+
"f1-score": 0.7799868909766223,
|
111 |
+
"precision": 0.7360824742268042,
|
112 |
+
"recall": 0.8294609665427509,
|
113 |
+
"support": 2152.0
|
114 |
},
|
115 |
"eval_O": {
|
116 |
+
"f1-score": 0.9093637121422617,
|
117 |
+
"precision": 0.9330596419204014,
|
118 |
+
"recall": 0.8868415347929763,
|
119 |
+
"support": 9226.0
|
120 |
},
|
121 |
"eval_Premise": {
|
122 |
+
"f1-score": 0.876420695504665,
|
123 |
+
"precision": 0.89797514556357,
|
124 |
+
"recall": 0.855876749772219,
|
125 |
+
"support": 12073.0
|
126 |
},
|
127 |
+
"eval_accuracy": 0.8372859263550454,
|
128 |
+
"eval_loss": 0.40934404730796814,
|
129 |
"eval_macro avg": {
|
130 |
+
"f1-score": 0.7969017724877165,
|
131 |
+
"precision": 0.7853844394618541,
|
132 |
+
"recall": 0.8124905901282342,
|
133 |
+
"support": 27619.0
|
134 |
+
},
|
135 |
+
"eval_runtime": 4.7941,
|
136 |
+
"eval_samples_per_second": 16.687,
|
137 |
+
"eval_steps_per_second": 2.086,
|
138 |
"eval_weighted avg": {
|
139 |
+
"f1-score": 0.8414917278933443,
|
140 |
+
"precision": 0.8482528803063183,
|
141 |
+
"recall": 0.8372859263550454,
|
142 |
+
"support": 27619.0
|
143 |
},
|
144 |
"step": 243
|
145 |
},
|
146 |
{
|
147 |
"epoch": 4.0,
|
148 |
"eval_Claim": {
|
149 |
+
"f1-score": 0.608644284729743,
|
150 |
+
"precision": 0.516112873601603,
|
151 |
+
"recall": 0.7416026871401151,
|
152 |
+
"support": 4168.0
|
153 |
},
|
154 |
"eval_MajorClaim": {
|
155 |
+
"f1-score": 0.788337924701561,
|
156 |
+
"precision": 0.7790381125226861,
|
157 |
+
"recall": 0.7978624535315985,
|
158 |
+
"support": 2152.0
|
159 |
},
|
160 |
"eval_O": {
|
161 |
+
"f1-score": 0.9068679925629612,
|
162 |
+
"precision": 0.9442684500762643,
|
163 |
+
"recall": 0.8723173639713853,
|
164 |
+
"support": 9226.0
|
165 |
},
|
166 |
"eval_Premise": {
|
167 |
+
"f1-score": 0.8528029247910863,
|
168 |
+
"precision": 0.8985600293497202,
|
169 |
+
"recall": 0.8114801623457302,
|
170 |
+
"support": 12073.0
|
171 |
},
|
172 |
+
"eval_accuracy": 0.8201962417176581,
|
173 |
+
"eval_loss": 0.5160673260688782,
|
174 |
"eval_macro avg": {
|
175 |
+
"f1-score": 0.789163281696338,
|
176 |
+
"precision": 0.7844948663875684,
|
177 |
+
"recall": 0.8058156667472073,
|
178 |
+
"support": 27619.0
|
179 |
+
},
|
180 |
+
"eval_runtime": 4.7669,
|
181 |
+
"eval_samples_per_second": 16.782,
|
182 |
+
"eval_steps_per_second": 2.098,
|
183 |
"eval_weighted avg": {
|
184 |
+
"f1-score": 0.8289940404467937,
|
185 |
+
"precision": 0.8468005514342695,
|
186 |
+
"recall": 0.8201962417176581,
|
187 |
+
"support": 27619.0
|
188 |
},
|
189 |
"step": 324
|
190 |
},
|
191 |
{
|
192 |
"epoch": 5.0,
|
193 |
"eval_Claim": {
|
194 |
+
"f1-score": 0.5923049770561243,
|
195 |
+
"precision": 0.5811590856615101,
|
196 |
+
"recall": 0.6038867562380038,
|
197 |
+
"support": 4168.0
|
198 |
},
|
199 |
"eval_MajorClaim": {
|
200 |
+
"f1-score": 0.7829807463750891,
|
201 |
+
"precision": 0.8014598540145985,
|
202 |
+
"recall": 0.7653345724907064,
|
203 |
+
"support": 2152.0
|
204 |
},
|
205 |
"eval_O": {
|
206 |
+
"f1-score": 0.9075350077795066,
|
207 |
+
"precision": 0.9311288483466362,
|
208 |
+
"recall": 0.8851073054411446,
|
209 |
+
"support": 9226.0
|
210 |
},
|
211 |
"eval_Premise": {
|
212 |
+
"f1-score": 0.8770785784153896,
|
213 |
+
"precision": 0.8633555323758325,
|
214 |
+
"recall": 0.891244926695933,
|
215 |
+
"support": 12073.0
|
216 |
},
|
217 |
+
"eval_accuracy": 0.8360186827908324,
|
218 |
+
"eval_loss": 0.5153732299804688,
|
219 |
"eval_macro avg": {
|
220 |
+
"f1-score": 0.7899748274065275,
|
221 |
+
"precision": 0.7942758300996444,
|
222 |
+
"recall": 0.7863933902164468,
|
223 |
+
"support": 27619.0
|
224 |
+
},
|
225 |
+
"eval_runtime": 4.7506,
|
226 |
+
"eval_samples_per_second": 16.84,
|
227 |
+
"eval_steps_per_second": 2.105,
|
228 |
"eval_weighted avg": {
|
229 |
+
"f1-score": 0.8369451960444566,
|
230 |
+
"precision": 0.8385857117236715,
|
231 |
+
"recall": 0.8360186827908324,
|
232 |
+
"support": 27619.0
|
233 |
},
|
234 |
"step": 405
|
235 |
},
|
236 |
{
|
237 |
"epoch": 6.0,
|
238 |
"eval_Claim": {
|
239 |
+
"f1-score": 0.5533534584591154,
|
240 |
+
"precision": 0.6108374384236454,
|
241 |
+
"recall": 0.5057581573896354,
|
242 |
+
"support": 4168.0
|
243 |
},
|
244 |
"eval_MajorClaim": {
|
245 |
+
"f1-score": 0.7910518800571156,
|
246 |
+
"precision": 0.8107317073170732,
|
247 |
+
"recall": 0.7723048327137546,
|
248 |
+
"support": 2152.0
|
249 |
},
|
250 |
"eval_O": {
|
251 |
+
"f1-score": 0.909817664129661,
|
252 |
+
"precision": 0.919331636605068,
|
253 |
+
"recall": 0.9004985909386516,
|
254 |
+
"support": 9226.0
|
255 |
},
|
256 |
"eval_Premise": {
|
257 |
+
"f1-score": 0.8747714081259442,
|
258 |
+
"precision": 0.8410671966975002,
|
259 |
+
"recall": 0.9112896546011762,
|
260 |
+
"support": 12073.0
|
261 |
},
|
262 |
+
"eval_accuracy": 0.8356566132010572,
|
263 |
+
"eval_loss": 0.5417770147323608,
|
264 |
"eval_macro avg": {
|
265 |
+
"f1-score": 0.782248602692959,
|
266 |
+
"precision": 0.7954919947608217,
|
267 |
+
"recall": 0.7724628089108043,
|
268 |
+
"support": 27619.0
|
269 |
+
},
|
270 |
+
"eval_runtime": 4.7432,
|
271 |
+
"eval_samples_per_second": 16.866,
|
272 |
+
"eval_steps_per_second": 2.108,
|
273 |
"eval_weighted avg": {
|
274 |
+
"f1-score": 0.8314498656832355,
|
275 |
+
"precision": 0.8301032992701898,
|
276 |
+
"recall": 0.8356566132010572,
|
277 |
+
"support": 27619.0
|
278 |
},
|
279 |
"step": 486
|
280 |
},
|
281 |
{
|
282 |
"epoch": 6.17,
|
283 |
+
"grad_norm": 6.106111526489258,
|
284 |
"learning_rate": 1.7530864197530865e-05,
|
285 |
+
"loss": 0.345,
|
286 |
"step": 500
|
287 |
},
|
288 |
{
|
289 |
"epoch": 7.0,
|
290 |
"eval_Claim": {
|
291 |
+
"f1-score": 0.5860923076923077,
|
292 |
+
"precision": 0.6017184735911044,
|
293 |
+
"recall": 0.571257197696737,
|
294 |
+
"support": 4168.0
|
295 |
},
|
296 |
"eval_MajorClaim": {
|
297 |
+
"f1-score": 0.8099526066350711,
|
298 |
+
"precision": 0.8264023210831721,
|
299 |
+
"recall": 0.7941449814126395,
|
300 |
+
"support": 2152.0
|
301 |
},
|
302 |
"eval_O": {
|
303 |
+
"f1-score": 0.9184632841627491,
|
304 |
+
"precision": 0.9157418381639909,
|
305 |
+
"recall": 0.9212009538261435,
|
306 |
+
"support": 9226.0
|
307 |
},
|
308 |
"eval_Premise": {
|
309 |
+
"f1-score": 0.8751742803247764,
|
310 |
+
"precision": 0.8666450093397222,
|
311 |
+
"recall": 0.8838731052762362,
|
312 |
+
"support": 12073.0
|
313 |
},
|
314 |
+
"eval_accuracy": 0.84217386581701,
|
315 |
+
"eval_loss": 0.5831862688064575,
|
316 |
"eval_macro avg": {
|
317 |
+
"f1-score": 0.7974206197037261,
|
318 |
+
"precision": 0.8026269105444974,
|
319 |
+
"recall": 0.792619059552939,
|
320 |
+
"support": 27619.0
|
321 |
+
},
|
322 |
+
"eval_runtime": 4.7225,
|
323 |
+
"eval_samples_per_second": 16.94,
|
324 |
+
"eval_steps_per_second": 2.118,
|
325 |
"eval_weighted avg": {
|
326 |
+
"f1-score": 0.8409273360363069,
|
327 |
+
"precision": 0.8399297508801243,
|
328 |
+
"recall": 0.84217386581701,
|
329 |
+
"support": 27619.0
|
330 |
},
|
331 |
"step": 567
|
332 |
},
|
333 |
{
|
334 |
"epoch": 8.0,
|
335 |
"eval_Claim": {
|
336 |
+
"f1-score": 0.6089751514402275,
|
337 |
+
"precision": 0.6281560826319816,
|
338 |
+
"recall": 0.5909309021113244,
|
339 |
+
"support": 4168.0
|
340 |
},
|
341 |
"eval_MajorClaim": {
|
342 |
+
"f1-score": 0.8056783802653014,
|
343 |
+
"precision": 0.806993006993007,
|
344 |
+
"recall": 0.804368029739777,
|
345 |
+
"support": 2152.0
|
346 |
},
|
347 |
"eval_O": {
|
348 |
+
"f1-score": 0.9201371876531113,
|
349 |
+
"precision": 0.9243136825987094,
|
350 |
+
"recall": 0.9159982657706481,
|
351 |
+
"support": 9226.0
|
352 |
},
|
353 |
"eval_Premise": {
|
354 |
+
"f1-score": 0.8842053669893396,
|
355 |
+
"precision": 0.8721998388396455,
|
356 |
+
"recall": 0.8965460117617825,
|
357 |
+
"support": 12073.0
|
358 |
},
|
359 |
+
"eval_accuracy": 0.8497411202433107,
|
360 |
+
"eval_loss": 0.5915889739990234,
|
361 |
"eval_macro avg": {
|
362 |
+
"f1-score": 0.8047490215869949,
|
363 |
+
"precision": 0.8079156527658359,
|
364 |
+
"recall": 0.801960802345883,
|
365 |
+
"support": 27619.0
|
366 |
+
},
|
367 |
+
"eval_runtime": 4.7226,
|
368 |
+
"eval_samples_per_second": 16.94,
|
369 |
+
"eval_steps_per_second": 2.117,
|
370 |
"eval_weighted avg": {
|
371 |
+
"f1-score": 0.8485544514458778,
|
372 |
+
"precision": 0.8476986926907486,
|
373 |
+
"recall": 0.8497411202433107,
|
374 |
+
"support": 27619.0
|
375 |
},
|
376 |
"step": 648
|
377 |
},
|
378 |
{
|
379 |
"epoch": 9.0,
|
380 |
"eval_Claim": {
|
381 |
+
"f1-score": 0.6137689614935823,
|
382 |
+
"precision": 0.5974557019536574,
|
383 |
+
"recall": 0.6309980806142035,
|
384 |
+
"support": 4168.0
|
385 |
},
|
386 |
"eval_MajorClaim": {
|
387 |
+
"f1-score": 0.8104347826086956,
|
388 |
+
"precision": 0.761437908496732,
|
389 |
+
"recall": 0.8661710037174721,
|
390 |
+
"support": 2152.0
|
391 |
},
|
392 |
"eval_O": {
|
393 |
+
"f1-score": 0.9178336980306346,
|
394 |
+
"precision": 0.9265518003092555,
|
395 |
+
"recall": 0.9092781270323,
|
396 |
+
"support": 9226.0
|
397 |
},
|
398 |
"eval_Premise": {
|
399 |
+
"f1-score": 0.8752312090129477,
|
400 |
+
"precision": 0.8886043533930857,
|
401 |
+
"recall": 0.8622546177420691,
|
402 |
+
"support": 12073.0
|
403 |
},
|
404 |
+
"eval_accuracy": 0.8433686954632681,
|
405 |
+
"eval_loss": 0.6680669784545898,
|
406 |
"eval_macro avg": {
|
407 |
+
"f1-score": 0.804317162786465,
|
408 |
+
"precision": 0.7935124410381827,
|
409 |
+
"recall": 0.8171754572765112,
|
410 |
+
"support": 27619.0
|
411 |
+
},
|
412 |
+
"eval_runtime": 4.7195,
|
413 |
+
"eval_samples_per_second": 16.951,
|
414 |
+
"eval_steps_per_second": 2.119,
|
415 |
"eval_weighted avg": {
|
416 |
+
"f1-score": 0.8449561811840803,
|
417 |
+
"precision": 0.8474346288061019,
|
418 |
+
"recall": 0.8433686954632681,
|
419 |
+
"support": 27619.0
|
420 |
},
|
421 |
"step": 729
|
422 |
},
|
423 |
{
|
424 |
"epoch": 10.0,
|
425 |
"eval_Claim": {
|
426 |
+
"f1-score": 0.5938368860055606,
|
427 |
+
"precision": 0.5741487455197133,
|
428 |
+
"recall": 0.6149232245681382,
|
429 |
+
"support": 4168.0
|
430 |
},
|
431 |
"eval_MajorClaim": {
|
432 |
+
"f1-score": 0.8202093764223942,
|
433 |
+
"precision": 0.8037466547725245,
|
434 |
+
"recall": 0.837360594795539,
|
435 |
+
"support": 2152.0
|
436 |
},
|
437 |
"eval_O": {
|
438 |
+
"f1-score": 0.9145026408450704,
|
439 |
+
"precision": 0.9286033519553073,
|
440 |
+
"recall": 0.9008237589421201,
|
441 |
+
"support": 9226.0
|
442 |
},
|
443 |
"eval_Premise": {
|
444 |
+
"f1-score": 0.8716092527874855,
|
445 |
+
"precision": 0.8756164841594918,
|
446 |
+
"recall": 0.8676385322620724,
|
447 |
+
"support": 12073.0
|
448 |
},
|
449 |
+
"eval_accuracy": 0.8382273072884608,
|
450 |
+
"eval_loss": 0.7243372201919556,
|
451 |
"eval_macro avg": {
|
452 |
+
"f1-score": 0.8000395390151277,
|
453 |
+
"precision": 0.7955288091017592,
|
454 |
+
"recall": 0.8051865276419675,
|
455 |
+
"support": 27619.0
|
456 |
+
},
|
457 |
+
"eval_runtime": 4.7291,
|
458 |
+
"eval_samples_per_second": 16.917,
|
459 |
+
"eval_steps_per_second": 2.115,
|
460 |
"eval_weighted avg": {
|
461 |
+
"f1-score": 0.840013852502701,
|
462 |
+
"precision": 0.8422219164630815,
|
463 |
+
"recall": 0.8382273072884608,
|
464 |
+
"support": 27619.0
|
465 |
},
|
466 |
"step": 810
|
467 |
},
|
468 |
{
|
469 |
"epoch": 11.0,
|
470 |
"eval_Claim": {
|
471 |
+
"f1-score": 0.6018801410105759,
|
472 |
+
"precision": 0.5898203592814372,
|
473 |
+
"recall": 0.614443378119002,
|
474 |
+
"support": 4168.0
|
475 |
},
|
476 |
"eval_MajorClaim": {
|
477 |
+
"f1-score": 0.7984663311766117,
|
478 |
+
"precision": 0.8243443839683325,
|
479 |
+
"recall": 0.7741635687732342,
|
480 |
+
"support": 2152.0
|
481 |
},
|
482 |
"eval_O": {
|
483 |
+
"f1-score": 0.9056203605514316,
|
484 |
+
"precision": 0.9334944195144402,
|
485 |
+
"recall": 0.8793626707132018,
|
486 |
+
"support": 9226.0
|
487 |
},
|
488 |
"eval_Premise": {
|
489 |
+
"f1-score": 0.878886273236464,
|
490 |
+
"precision": 0.8616792678074016,
|
491 |
+
"recall": 0.8967945001242442,
|
492 |
+
"support": 12073.0
|
493 |
},
|
494 |
+
"eval_accuracy": 0.838806618632101,
|
495 |
+
"eval_loss": 0.7492838501930237,
|
496 |
"eval_macro avg": {
|
497 |
+
"f1-score": 0.7962132764937708,
|
498 |
+
"precision": 0.8023346076429029,
|
499 |
+
"recall": 0.7911910294324205,
|
500 |
+
"support": 27619.0
|
501 |
+
},
|
502 |
+
"eval_runtime": 4.7534,
|
503 |
+
"eval_samples_per_second": 16.83,
|
504 |
+
"eval_steps_per_second": 2.104,
|
505 |
"eval_weighted avg": {
|
506 |
+
"f1-score": 0.8397473983726959,
|
507 |
+
"precision": 0.8417333606018996,
|
508 |
+
"recall": 0.838806618632101,
|
509 |
+
"support": 27619.0
|
510 |
},
|
511 |
"step": 891
|
512 |
},
|
513 |
{
|
514 |
"epoch": 12.0,
|
515 |
"eval_Claim": {
|
516 |
+
"f1-score": 0.6351054481546573,
|
517 |
+
"precision": 0.5856969205834684,
|
518 |
+
"recall": 0.6936180422264875,
|
519 |
+
"support": 4168.0
|
520 |
},
|
521 |
"eval_MajorClaim": {
|
522 |
+
"f1-score": 0.8096330275229358,
|
523 |
+
"precision": 0.7993659420289855,
|
524 |
+
"recall": 0.8201672862453532,
|
525 |
+
"support": 2152.0
|
526 |
},
|
527 |
"eval_O": {
|
528 |
+
"f1-score": 0.9158836689038031,
|
529 |
+
"precision": 0.9461520684076727,
|
530 |
+
"recall": 0.8874918707999133,
|
531 |
+
"support": 9226.0
|
532 |
},
|
533 |
"eval_Premise": {
|
534 |
+
"f1-score": 0.8832342847576798,
|
535 |
+
"precision": 0.8926486760849336,
|
536 |
+
"recall": 0.8740164002319225,
|
537 |
+
"support": 12073.0
|
538 |
},
|
539 |
+
"eval_accuracy": 0.8470980122379521,
|
540 |
+
"eval_loss": 0.7472469806671143,
|
541 |
"eval_macro avg": {
|
542 |
+
"f1-score": 0.810964107334769,
|
543 |
+
"precision": 0.8059659017762651,
|
544 |
+
"recall": 0.8188233998759191,
|
545 |
+
"support": 27619.0
|
546 |
+
},
|
547 |
+
"eval_runtime": 4.7526,
|
548 |
+
"eval_samples_per_second": 16.833,
|
549 |
+
"eval_steps_per_second": 2.104,
|
550 |
"eval_weighted avg": {
|
551 |
+
"f1-score": 0.8509605717920246,
|
552 |
+
"precision": 0.8569306173916821,
|
553 |
+
"recall": 0.8470980122379521,
|
554 |
+
"support": 27619.0
|
555 |
},
|
556 |
"step": 972
|
557 |
},
|
558 |
{
|
559 |
"epoch": 12.35,
|
560 |
+
"grad_norm": 3.1761698722839355,
|
561 |
"learning_rate": 1.506172839506173e-05,
|
562 |
+
"loss": 0.0604,
|
563 |
"step": 1000
|
564 |
},
|
565 |
{
|
566 |
"epoch": 13.0,
|
567 |
"eval_Claim": {
|
568 |
+
"f1-score": 0.6302578018995931,
|
569 |
+
"precision": 0.5960222412318221,
|
570 |
+
"recall": 0.6686660268714012,
|
571 |
+
"support": 4168.0
|
572 |
},
|
573 |
"eval_MajorClaim": {
|
574 |
+
"f1-score": 0.8086405259450574,
|
575 |
+
"precision": 0.8172757475083057,
|
576 |
+
"recall": 0.800185873605948,
|
577 |
+
"support": 2152.0
|
578 |
},
|
579 |
"eval_O": {
|
580 |
+
"f1-score": 0.9224348987313599,
|
581 |
+
"precision": 0.9477475417333638,
|
582 |
+
"recall": 0.8984391935833514,
|
583 |
+
"support": 9226.0
|
584 |
},
|
585 |
"eval_Premise": {
|
586 |
+
"f1-score": 0.8844928196002152,
|
587 |
+
"precision": 0.8838709677419355,
|
588 |
+
"recall": 0.8851155470885447,
|
589 |
+
"support": 12073.0
|
590 |
},
|
591 |
+
"eval_accuracy": 0.8502842246279735,
|
592 |
+
"eval_loss": 0.812764048576355,
|
593 |
"eval_macro avg": {
|
594 |
+
"f1-score": 0.8114565115440564,
|
595 |
+
"precision": 0.8112291245538568,
|
596 |
+
"recall": 0.8131016602873112,
|
597 |
+
"support": 27619.0
|
598 |
+
},
|
599 |
+
"eval_runtime": 4.7412,
|
600 |
+
"eval_samples_per_second": 16.873,
|
601 |
+
"eval_steps_per_second": 2.109,
|
602 |
"eval_weighted avg": {
|
603 |
+
"f1-score": 0.8528902247322565,
|
604 |
+
"precision": 0.8565802934093382,
|
605 |
+
"recall": 0.8502842246279735,
|
606 |
+
"support": 27619.0
|
607 |
},
|
608 |
"step": 1053
|
609 |
},
|
610 |
{
|
611 |
"epoch": 14.0,
|
612 |
"eval_Claim": {
|
613 |
+
"f1-score": 0.6177896267571498,
|
614 |
+
"precision": 0.6241429970617042,
|
615 |
+
"recall": 0.6115642994241842,
|
616 |
+
"support": 4168.0
|
617 |
},
|
618 |
"eval_MajorClaim": {
|
619 |
+
"f1-score": 0.7891914191419142,
|
620 |
+
"precision": 0.7095697329376854,
|
621 |
+
"recall": 0.8889405204460966,
|
622 |
+
"support": 2152.0
|
623 |
},
|
624 |
"eval_O": {
|
625 |
+
"f1-score": 0.915085817524842,
|
626 |
+
"precision": 0.9549846806504831,
|
627 |
+
"recall": 0.8783871667027965,
|
628 |
+
"support": 9226.0
|
629 |
},
|
630 |
"eval_Premise": {
|
631 |
+
"f1-score": 0.8833210513387375,
|
632 |
+
"precision": 0.8733101270946328,
|
633 |
+
"recall": 0.8935641514122422,
|
634 |
+
"support": 12073.0
|
635 |
},
|
636 |
+
"eval_accuracy": 0.8455773199608965,
|
637 |
+
"eval_loss": 0.8994765281677246,
|
638 |
"eval_macro avg": {
|
639 |
+
"f1-score": 0.8013469786906608,
|
640 |
+
"precision": 0.7905018844361265,
|
641 |
+
"recall": 0.8181140344963299,
|
642 |
+
"support": 27619.0
|
643 |
+
},
|
644 |
+
"eval_runtime": 4.7538,
|
645 |
+
"eval_samples_per_second": 16.829,
|
646 |
+
"eval_steps_per_second": 2.104,
|
647 |
"eval_weighted avg": {
|
648 |
+
"f1-score": 0.8465260836240982,
|
649 |
+
"precision": 0.850232952139105,
|
650 |
+
"recall": 0.8455773199608965,
|
651 |
+
"support": 27619.0
|
652 |
},
|
653 |
"step": 1134
|
654 |
},
|
655 |
{
|
656 |
"epoch": 15.0,
|
657 |
"eval_Claim": {
|
658 |
+
"f1-score": 0.6071797224452345,
|
659 |
+
"precision": 0.5816304108987036,
|
660 |
+
"recall": 0.6350767754318618,
|
661 |
+
"support": 4168.0
|
662 |
},
|
663 |
"eval_MajorClaim": {
|
664 |
+
"f1-score": 0.8077178975382568,
|
665 |
+
"precision": 0.7725922783198982,
|
666 |
+
"recall": 0.8461895910780669,
|
667 |
+
"support": 2152.0
|
668 |
},
|
669 |
"eval_O": {
|
670 |
+
"f1-score": 0.9198298062926884,
|
671 |
+
"precision": 0.9512505789717461,
|
672 |
+
"recall": 0.8904183828311294,
|
673 |
+
"support": 9226.0
|
674 |
},
|
675 |
"eval_Premise": {
|
676 |
+
"f1-score": 0.8720390922643698,
|
677 |
+
"precision": 0.8719668737060041,
|
678 |
+
"recall": 0.8721113227863828,
|
679 |
+
"support": 12073.0
|
680 |
},
|
681 |
+
"eval_accuracy": 0.8404359317860893,
|
682 |
+
"eval_loss": 0.9128327369689941,
|
683 |
"eval_macro avg": {
|
684 |
+
"f1-score": 0.8016916296351374,
|
685 |
+
"precision": 0.794360035474088,
|
686 |
+
"recall": 0.8109490180318603,
|
687 |
+
"support": 27619.0
|
688 |
+
},
|
689 |
+
"eval_runtime": 4.7243,
|
690 |
+
"eval_samples_per_second": 16.934,
|
691 |
+
"eval_steps_per_second": 2.117,
|
692 |
"eval_weighted avg": {
|
693 |
+
"f1-score": 0.8430215341764057,
|
694 |
+
"precision": 0.8468933720777774,
|
695 |
+
"recall": 0.8404359317860893,
|
696 |
+
"support": 27619.0
|
697 |
},
|
698 |
"step": 1215
|
699 |
},
|
700 |
{
|
701 |
"epoch": 16.0,
|
702 |
"eval_Claim": {
|
703 |
+
"f1-score": 0.6309481002037637,
|
704 |
+
"precision": 0.6304191616766467,
|
705 |
+
"recall": 0.6314779270633397,
|
706 |
+
"support": 4168.0
|
707 |
},
|
708 |
"eval_MajorClaim": {
|
709 |
+
"f1-score": 0.8244803695150116,
|
710 |
+
"precision": 0.8195592286501377,
|
711 |
+
"recall": 0.8294609665427509,
|
712 |
+
"support": 2152.0
|
713 |
},
|
714 |
"eval_O": {
|
715 |
+
"f1-score": 0.9188405797101449,
|
716 |
+
"precision": 0.9101446193109315,
|
717 |
+
"recall": 0.9277043138955127,
|
718 |
+
"support": 9226.0
|
719 |
},
|
720 |
"eval_Premise": {
|
721 |
+
"f1-score": 0.8854815124294965,
|
722 |
+
"precision": 0.8933569381217332,
|
723 |
+
"recall": 0.8777437256688478,
|
724 |
+
"support": 12073.0
|
725 |
},
|
726 |
+
"eval_accuracy": 0.8535066439769724,
|
727 |
+
"eval_loss": 0.8802785873413086,
|
728 |
"eval_macro avg": {
|
729 |
+
"f1-score": 0.8149376404646043,
|
730 |
+
"precision": 0.8133699869398623,
|
731 |
+
"recall": 0.8165967332926127,
|
732 |
+
"support": 27619.0
|
733 |
+
},
|
734 |
+
"eval_runtime": 4.7225,
|
735 |
+
"eval_samples_per_second": 16.94,
|
736 |
+
"eval_steps_per_second": 2.118,
|
737 |
"eval_weighted avg": {
|
738 |
+
"f1-score": 0.8534601153123827,
|
739 |
+
"precision": 0.8535345630772185,
|
740 |
+
"recall": 0.8535066439769724,
|
741 |
+
"support": 27619.0
|
742 |
},
|
743 |
"step": 1296
|
744 |
},
|
745 |
{
|
746 |
"epoch": 17.0,
|
747 |
"eval_Claim": {
|
748 |
+
"f1-score": 0.6351891003053795,
|
749 |
+
"precision": 0.6221813161527842,
|
750 |
+
"recall": 0.6487523992322457,
|
751 |
+
"support": 4168.0
|
752 |
},
|
753 |
"eval_MajorClaim": {
|
754 |
+
"f1-score": 0.8157058556513844,
|
755 |
+
"precision": 0.7972493345164152,
|
756 |
+
"recall": 0.8350371747211895,
|
757 |
+
"support": 2152.0
|
758 |
},
|
759 |
"eval_O": {
|
760 |
+
"f1-score": 0.9181362943609842,
|
761 |
+
"precision": 0.9221517603323858,
|
762 |
+
"recall": 0.914155647084327,
|
763 |
+
"support": 9226.0
|
764 |
},
|
765 |
"eval_Premise": {
|
766 |
+
"f1-score": 0.8847406664996242,
|
767 |
+
"precision": 0.8921923692411353,
|
768 |
+
"recall": 0.8774124078522323,
|
769 |
+
"support": 12073.0
|
770 |
},
|
771 |
+
"eval_accuracy": 0.8518773308229842,
|
772 |
+
"eval_loss": 0.8617361783981323,
|
773 |
"eval_macro avg": {
|
774 |
+
"f1-score": 0.813442979204343,
|
775 |
+
"precision": 0.8084436950606801,
|
776 |
+
"recall": 0.8188394072224987,
|
777 |
+
"support": 27619.0
|
778 |
+
},
|
779 |
+
"eval_runtime": 4.7584,
|
780 |
+
"eval_samples_per_second": 16.812,
|
781 |
+
"eval_steps_per_second": 2.102,
|
782 |
"eval_weighted avg": {
|
783 |
+
"f1-score": 0.8528573333523664,
|
784 |
+
"precision": 0.8540549226358285,
|
785 |
+
"recall": 0.8518773308229842,
|
786 |
+
"support": 27619.0
|
787 |
},
|
788 |
"step": 1377
|
789 |
},
|
790 |
{
|
791 |
"epoch": 18.0,
|
792 |
"eval_Claim": {
|
793 |
+
"f1-score": 0.5979982262764474,
|
794 |
+
"precision": 0.6335570469798658,
|
795 |
+
"recall": 0.5662188099808061,
|
796 |
+
"support": 4168.0
|
797 |
},
|
798 |
"eval_MajorClaim": {
|
799 |
+
"f1-score": 0.8218923933209649,
|
800 |
+
"precision": 0.8203703703703704,
|
801 |
+
"recall": 0.8234200743494424,
|
802 |
+
"support": 2152.0
|
803 |
},
|
804 |
"eval_O": {
|
805 |
+
"f1-score": 0.9185111222055806,
|
806 |
+
"precision": 0.9406885581183957,
|
807 |
+
"recall": 0.8973553002384566,
|
808 |
+
"support": 9226.0
|
809 |
},
|
810 |
"eval_Premise": {
|
811 |
+
"f1-score": 0.8841078141246101,
|
812 |
+
"precision": 0.8547127503286167,
|
813 |
+
"recall": 0.9155967862171789,
|
814 |
+
"support": 12073.0
|
815 |
},
|
816 |
+
"eval_accuracy": 0.8495962924074008,
|
817 |
+
"eval_loss": 0.9965270757675171,
|
818 |
"eval_macro avg": {
|
819 |
+
"f1-score": 0.8056273889819007,
|
820 |
+
"precision": 0.8123321814493122,
|
821 |
+
"recall": 0.800647742696471,
|
822 |
+
"support": 27619.0
|
823 |
+
},
|
824 |
+
"eval_runtime": 4.735,
|
825 |
+
"eval_samples_per_second": 16.895,
|
826 |
+
"eval_steps_per_second": 2.112,
|
827 |
"eval_weighted avg": {
|
828 |
+
"f1-score": 0.8475754477331567,
|
829 |
+
"precision": 0.8473819646173586,
|
830 |
+
"recall": 0.8495962924074008,
|
831 |
+
"support": 27619.0
|
832 |
},
|
833 |
"step": 1458
|
834 |
},
|
835 |
{
|
836 |
"epoch": 18.52,
|
837 |
+
"grad_norm": 15.414011001586914,
|
838 |
"learning_rate": 1.2592592592592593e-05,
|
839 |
+
"loss": 0.0201,
|
840 |
"step": 1500
|
841 |
},
|
842 |
{
|
843 |
"epoch": 19.0,
|
844 |
"eval_Claim": {
|
845 |
+
"f1-score": 0.6417134539405281,
|
846 |
+
"precision": 0.5662385321100918,
|
847 |
+
"recall": 0.7404030710172744,
|
848 |
+
"support": 4168.0
|
849 |
},
|
850 |
"eval_MajorClaim": {
|
851 |
+
"f1-score": 0.8129032258064516,
|
852 |
+
"precision": 0.8062157221206582,
|
853 |
+
"recall": 0.8197026022304833,
|
854 |
+
"support": 2152.0
|
855 |
},
|
856 |
"eval_O": {
|
857 |
+
"f1-score": 0.9158699808795411,
|
858 |
+
"precision": 0.9517297802711547,
|
859 |
+
"recall": 0.8826143507478864,
|
860 |
+
"support": 9226.0
|
861 |
},
|
862 |
"eval_Premise": {
|
863 |
+
"f1-score": 0.8692654694016513,
|
864 |
+
"precision": 0.8939168490153173,
|
865 |
+
"recall": 0.8459372152737513,
|
866 |
+
"support": 12073.0
|
867 |
},
|
868 |
+
"eval_accuracy": 0.8402186900322242,
|
869 |
+
"eval_loss": 0.9760411381721497,
|
870 |
"eval_macro avg": {
|
871 |
+
"f1-score": 0.809938032507043,
|
872 |
+
"precision": 0.8045252208793054,
|
873 |
+
"recall": 0.8221643098173489,
|
874 |
+
"support": 27619.0
|
875 |
+
},
|
876 |
+
"eval_runtime": 4.7957,
|
877 |
+
"eval_samples_per_second": 16.682,
|
878 |
+
"eval_steps_per_second": 2.085,
|
879 |
"eval_weighted avg": {
|
880 |
+
"f1-score": 0.8461018818074655,
|
881 |
+
"precision": 0.8569454182549012,
|
882 |
+
"recall": 0.8402186900322242,
|
883 |
+
"support": 27619.0
|
884 |
},
|
885 |
"step": 1539
|
886 |
},
|
887 |
{
|
888 |
"epoch": 20.0,
|
889 |
"eval_Claim": {
|
890 |
+
"f1-score": 0.651902203705734,
|
891 |
+
"precision": 0.6002422774076317,
|
892 |
+
"recall": 0.7132917466410749,
|
893 |
+
"support": 4168.0
|
894 |
},
|
895 |
"eval_MajorClaim": {
|
896 |
+
"f1-score": 0.8352472463088821,
|
897 |
+
"precision": 0.8425531914893617,
|
898 |
+
"recall": 0.8280669144981413,
|
899 |
+
"support": 2152.0
|
900 |
},
|
901 |
"eval_O": {
|
902 |
+
"f1-score": 0.9225629791894853,
|
903 |
+
"precision": 0.9323666150099623,
|
904 |
+
"recall": 0.9129633644049425,
|
905 |
+
"support": 9226.0
|
906 |
},
|
907 |
"eval_Premise": {
|
908 |
+
"f1-score": 0.8775752437473505,
|
909 |
+
"precision": 0.8987583572110793,
|
910 |
+
"recall": 0.8573676799469891,
|
911 |
+
"support": 12073.0
|
912 |
},
|
913 |
+
"eval_accuracy": 0.8519135377819617,
|
914 |
+
"eval_loss": 0.9999569058418274,
|
915 |
"eval_macro avg": {
|
916 |
+
"f1-score": 0.821821918237863,
|
917 |
+
"precision": 0.8184801102795087,
|
918 |
+
"recall": 0.8279224263727869,
|
919 |
+
"support": 27619.0
|
920 |
+
},
|
921 |
+
"eval_runtime": 4.7617,
|
922 |
+
"eval_samples_per_second": 16.801,
|
923 |
+
"eval_steps_per_second": 2.1,
|
924 |
"eval_weighted avg": {
|
925 |
+
"f1-score": 0.8552486484979966,
|
926 |
+
"precision": 0.8605564400235849,
|
927 |
+
"recall": 0.8519135377819617,
|
928 |
+
"support": 27619.0
|
929 |
},
|
930 |
"step": 1620
|
931 |
},
|
932 |
{
|
933 |
"epoch": 21.0,
|
934 |
"eval_Claim": {
|
935 |
+
"f1-score": 0.6376654371881102,
|
936 |
+
"precision": 0.5819801980198019,
|
937 |
+
"recall": 0.7051343570057581,
|
938 |
+
"support": 4168.0
|
939 |
},
|
940 |
"eval_MajorClaim": {
|
941 |
+
"f1-score": 0.792661361626879,
|
942 |
+
"precision": 0.7559021922428331,
|
943 |
+
"recall": 0.83317843866171,
|
944 |
+
"support": 2152.0
|
945 |
},
|
946 |
"eval_O": {
|
947 |
+
"f1-score": 0.9065665187208377,
|
948 |
+
"precision": 0.9542405366554864,
|
949 |
+
"recall": 0.8634294385432474,
|
950 |
+
"support": 9226.0
|
951 |
},
|
952 |
"eval_Premise": {
|
953 |
+
"f1-score": 0.8798595435164284,
|
954 |
+
"precision": 0.8881762174023125,
|
955 |
+
"recall": 0.8716971755156133,
|
956 |
+
"support": 12073.0
|
957 |
},
|
958 |
+
"eval_accuracy": 0.8407980013758645,
|
959 |
+
"eval_loss": 1.0823462009429932,
|
960 |
"eval_macro avg": {
|
961 |
+
"f1-score": 0.8041882152630638,
|
962 |
+
"precision": 0.7950747860801084,
|
963 |
+
"recall": 0.8183598524315823,
|
964 |
+
"support": 27619.0
|
965 |
+
},
|
966 |
+
"eval_runtime": 4.8337,
|
967 |
+
"eval_samples_per_second": 16.55,
|
968 |
+
"eval_steps_per_second": 2.069,
|
969 |
"eval_weighted avg": {
|
970 |
+
"f1-score": 0.8454369732073347,
|
971 |
+
"precision": 0.8537300281304444,
|
972 |
+
"recall": 0.8407980013758645,
|
973 |
+
"support": 27619.0
|
974 |
},
|
975 |
"step": 1701
|
976 |
},
|
977 |
{
|
978 |
"epoch": 22.0,
|
979 |
"eval_Claim": {
|
980 |
+
"f1-score": 0.6413618587531631,
|
981 |
+
"precision": 0.6159964648696421,
|
982 |
+
"recall": 0.6689059500959693,
|
983 |
+
"support": 4168.0
|
984 |
},
|
985 |
"eval_MajorClaim": {
|
986 |
+
"f1-score": 0.8162887552059233,
|
987 |
+
"precision": 0.8129032258064516,
|
988 |
+
"recall": 0.8197026022304833,
|
989 |
+
"support": 2152.0
|
990 |
},
|
991 |
"eval_O": {
|
992 |
+
"f1-score": 0.9215077605321508,
|
993 |
+
"precision": 0.9430451554345359,
|
994 |
+
"recall": 0.9009321482766096,
|
995 |
+
"support": 9226.0
|
996 |
},
|
997 |
"eval_Premise": {
|
998 |
+
"f1-score": 0.8851211645025227,
|
999 |
+
"precision": 0.8838054339747295,
|
1000 |
+
"recall": 0.886440818355007,
|
1001 |
+
"support": 12073.0
|
1002 |
},
|
1003 |
+
"eval_accuracy": 0.8532531952641298,
|
1004 |
+
"eval_loss": 0.9629964828491211,
|
1005 |
"eval_macro avg": {
|
1006 |
+
"f1-score": 0.8160698847484399,
|
1007 |
+
"precision": 0.8139375700213398,
|
1008 |
+
"recall": 0.8189953797395173,
|
1009 |
+
"support": 27619.0
|
1010 |
+
},
|
1011 |
+
"eval_runtime": 4.7476,
|
1012 |
+
"eval_samples_per_second": 16.851,
|
1013 |
+
"eval_steps_per_second": 2.106,
|
1014 |
"eval_weighted avg": {
|
1015 |
+
"f1-score": 0.8551268346498754,
|
1016 |
+
"precision": 0.8576544630844016,
|
1017 |
+
"recall": 0.8532531952641298,
|
1018 |
+
"support": 27619.0
|
1019 |
},
|
1020 |
"step": 1782
|
1021 |
},
|
1022 |
{
|
1023 |
"epoch": 23.0,
|
1024 |
"eval_Claim": {
|
1025 |
+
"f1-score": 0.6246913580246913,
|
1026 |
+
"precision": 0.6434384537131231,
|
1027 |
+
"recall": 0.6070057581573897,
|
1028 |
+
"support": 4168.0
|
1029 |
},
|
1030 |
"eval_MajorClaim": {
|
1031 |
+
"f1-score": 0.8306414397784957,
|
1032 |
+
"precision": 0.8249312557286893,
|
1033 |
+
"recall": 0.8364312267657993,
|
1034 |
+
"support": 2152.0
|
1035 |
},
|
1036 |
"eval_O": {
|
1037 |
+
"f1-score": 0.9210203854294309,
|
1038 |
+
"precision": 0.9472960586617782,
|
1039 |
+
"recall": 0.8961630175590722,
|
1040 |
+
"support": 9226.0
|
1041 |
},
|
1042 |
"eval_Premise": {
|
1043 |
+
"f1-score": 0.8880482897384305,
|
1044 |
+
"precision": 0.8635830007043908,
|
1045 |
+
"recall": 0.9139401971341009,
|
1046 |
+
"support": 12073.0
|
1047 |
},
|
1048 |
+
"eval_accuracy": 0.8556428545566458,
|
1049 |
+
"eval_loss": 1.0519344806671143,
|
1050 |
"eval_macro avg": {
|
1051 |
+
"f1-score": 0.8161003682427621,
|
1052 |
+
"precision": 0.8198121922019954,
|
1053 |
+
"recall": 0.8133850499040906,
|
1054 |
+
"support": 27619.0
|
1055 |
+
},
|
1056 |
+
"eval_runtime": 4.7514,
|
1057 |
+
"eval_samples_per_second": 16.837,
|
1058 |
+
"eval_steps_per_second": 2.105,
|
1059 |
"eval_weighted avg": {
|
1060 |
+
"f1-score": 0.8548461217507599,
|
1061 |
+
"precision": 0.8553131736167897,
|
1062 |
+
"recall": 0.8556428545566458,
|
1063 |
+
"support": 27619.0
|
1064 |
},
|
1065 |
"step": 1863
|
1066 |
},
|
1067 |
{
|
1068 |
"epoch": 24.0,
|
1069 |
"eval_Claim": {
|
1070 |
+
"f1-score": 0.6429456142326315,
|
1071 |
+
"precision": 0.605771270952684,
|
1072 |
+
"recall": 0.6849808061420346,
|
1073 |
+
"support": 4168.0
|
1074 |
},
|
1075 |
"eval_MajorClaim": {
|
1076 |
+
"f1-score": 0.8262760357061112,
|
1077 |
+
"precision": 0.8141632837167343,
|
1078 |
+
"recall": 0.8387546468401487,
|
1079 |
+
"support": 2152.0
|
1080 |
},
|
1081 |
"eval_O": {
|
1082 |
+
"f1-score": 0.9164846244328684,
|
1083 |
+
"precision": 0.9483018430508867,
|
1084 |
+
"recall": 0.8867331454584869,
|
1085 |
+
"support": 9226.0
|
1086 |
},
|
1087 |
"eval_Premise": {
|
1088 |
+
"f1-score": 0.8827014708928941,
|
1089 |
+
"precision": 0.8831039628585641,
|
1090 |
+
"recall": 0.8822993456473122,
|
1091 |
+
"support": 12073.0
|
1092 |
},
|
1093 |
+
"eval_accuracy": 0.8506100872587712,
|
1094 |
+
"eval_loss": 1.0345954895019531,
|
1095 |
"eval_macro avg": {
|
1096 |
+
"f1-score": 0.8171019363161263,
|
1097 |
+
"precision": 0.8128350901447173,
|
1098 |
+
"recall": 0.8231919860219956,
|
1099 |
+
"support": 27619.0
|
1100 |
+
},
|
1101 |
+
"eval_runtime": 4.7433,
|
1102 |
+
"eval_samples_per_second": 16.866,
|
1103 |
+
"eval_steps_per_second": 2.108,
|
1104 |
"eval_weighted avg": {
|
1105 |
+
"f1-score": 0.8534083548306859,
|
1106 |
+
"precision": 0.8576588939305595,
|
1107 |
+
"recall": 0.8506100872587712,
|
1108 |
+
"support": 27619.0
|
1109 |
},
|
1110 |
"step": 1944
|
1111 |
},
|
1112 |
{
|
1113 |
"epoch": 24.69,
|
1114 |
+
"grad_norm": 0.018422244116663933,
|
1115 |
"learning_rate": 1.0123456790123458e-05,
|
1116 |
+
"loss": 0.0091,
|
1117 |
"step": 2000
|
1118 |
},
|
1119 |
{
|
1120 |
"epoch": 25.0,
|
1121 |
"eval_Claim": {
|
1122 |
+
"f1-score": 0.6397129186602871,
|
1123 |
+
"precision": 0.637881679389313,
|
1124 |
+
"recall": 0.6415547024952015,
|
1125 |
+
"support": 4168.0
|
1126 |
},
|
1127 |
"eval_MajorClaim": {
|
1128 |
+
"f1-score": 0.8255892255892255,
|
1129 |
+
"precision": 0.798523664785063,
|
1130 |
+
"recall": 0.8545539033457249,
|
1131 |
+
"support": 2152.0
|
1132 |
},
|
1133 |
"eval_O": {
|
1134 |
+
"f1-score": 0.9217740138176956,
|
1135 |
+
"precision": 0.9484063288236643,
|
1136 |
+
"recall": 0.8965965748970302,
|
1137 |
+
"support": 9226.0
|
1138 |
},
|
1139 |
"eval_Premise": {
|
1140 |
+
"f1-score": 0.8884167517875383,
|
1141 |
+
"precision": 0.8766328011611031,
|
1142 |
+
"recall": 0.9005218255611696,
|
1143 |
+
"support": 12073.0
|
1144 |
},
|
1145 |
+
"eval_accuracy": 0.8565480285310837,
|
1146 |
+
"eval_loss": 1.0353806018829346,
|
1147 |
"eval_macro avg": {
|
1148 |
+
"f1-score": 0.8188732274636866,
|
1149 |
+
"precision": 0.8153611185397858,
|
1150 |
+
"recall": 0.8233067515747815,
|
1151 |
+
"support": 27619.0
|
1152 |
+
},
|
1153 |
+
"eval_runtime": 4.7632,
|
1154 |
+
"eval_samples_per_second": 16.795,
|
1155 |
+
"eval_steps_per_second": 2.099,
|
1156 |
"eval_weighted avg": {
|
1157 |
+
"f1-score": 0.8571321899510156,
|
1158 |
+
"precision": 0.8584922830101466,
|
1159 |
+
"recall": 0.8565480285310837,
|
1160 |
+
"support": 27619.0
|
1161 |
},
|
1162 |
"step": 2025
|
1163 |
},
|
1164 |
{
|
1165 |
"epoch": 26.0,
|
1166 |
"eval_Claim": {
|
1167 |
+
"f1-score": 0.639289678135405,
|
1168 |
+
"precision": 0.6577010910936311,
|
1169 |
+
"recall": 0.6218809980806143,
|
1170 |
+
"support": 4168.0
|
1171 |
},
|
1172 |
"eval_MajorClaim": {
|
1173 |
+
"f1-score": 0.8237179487179487,
|
1174 |
+
"precision": 0.8118231046931408,
|
1175 |
+
"recall": 0.8359665427509294,
|
1176 |
+
"support": 2152.0
|
1177 |
},
|
1178 |
"eval_O": {
|
1179 |
+
"f1-score": 0.9226105170323007,
|
1180 |
+
"precision": 0.9386496186630776,
|
1181 |
+
"recall": 0.9071103403425103,
|
1182 |
+
"support": 9226.0
|
1183 |
},
|
1184 |
"eval_Premise": {
|
1185 |
+
"f1-score": 0.8938624639506073,
|
1186 |
+
"precision": 0.8770125936553483,
|
1187 |
+
"recall": 0.9113724840553301,
|
1188 |
+
"support": 12073.0
|
1189 |
},
|
1190 |
+
"eval_accuracy": 0.8603859661827004,
|
1191 |
+
"eval_loss": 1.0636707544326782,
|
1192 |
"eval_macro avg": {
|
1193 |
+
"f1-score": 0.8198701519590654,
|
1194 |
+
"precision": 0.8212966020262995,
|
1195 |
+
"recall": 0.8190825913073461,
|
1196 |
+
"support": 27619.0
|
1197 |
+
},
|
1198 |
+
"eval_runtime": 4.7618,
|
1199 |
+
"eval_samples_per_second": 16.8,
|
1200 |
+
"eval_steps_per_second": 2.1,
|
1201 |
"eval_weighted avg": {
|
1202 |
+
"f1-score": 0.8595824092662689,
|
1203 |
+
"precision": 0.8594263331027361,
|
1204 |
+
"recall": 0.8603859661827004,
|
1205 |
+
"support": 27619.0
|
1206 |
},
|
1207 |
"step": 2106
|
1208 |
},
|
1209 |
{
|
1210 |
"epoch": 27.0,
|
1211 |
"eval_Claim": {
|
1212 |
+
"f1-score": 0.643669985775249,
|
1213 |
+
"precision": 0.6361293345829429,
|
1214 |
+
"recall": 0.6513915547024952,
|
1215 |
+
"support": 4168.0
|
1216 |
},
|
1217 |
"eval_MajorClaim": {
|
1218 |
+
"f1-score": 0.835773822933093,
|
1219 |
+
"precision": 0.8111062527328378,
|
1220 |
+
"recall": 0.8619888475836431,
|
1221 |
+
"support": 2152.0
|
1222 |
},
|
1223 |
"eval_O": {
|
1224 |
+
"f1-score": 0.9197544642857143,
|
1225 |
+
"precision": 0.9478951000690131,
|
1226 |
+
"recall": 0.893236505527856,
|
1227 |
+
"support": 9226.0
|
1228 |
},
|
1229 |
"eval_Premise": {
|
1230 |
+
"f1-score": 0.892443644397169,
|
1231 |
+
"precision": 0.8817299919159256,
|
1232 |
+
"recall": 0.9034208564565559,
|
1233 |
+
"support": 12073.0
|
1234 |
},
|
1235 |
+
"eval_accuracy": 0.8587566530287121,
|
1236 |
+
"eval_loss": 1.0722382068634033,
|
1237 |
"eval_macro avg": {
|
1238 |
+
"f1-score": 0.8229104793478063,
|
1239 |
+
"precision": 0.8192151698251797,
|
1240 |
+
"recall": 0.8275094410676376,
|
1241 |
+
"support": 27619.0
|
1242 |
+
},
|
1243 |
+
"eval_runtime": 4.7416,
|
1244 |
+
"eval_samples_per_second": 16.872,
|
1245 |
+
"eval_steps_per_second": 2.109,
|
1246 |
"eval_weighted avg": {
|
1247 |
+
"f1-score": 0.8596085511412532,
|
1248 |
+
"precision": 0.8612655819566406,
|
1249 |
+
"recall": 0.8587566530287121,
|
1250 |
+
"support": 27619.0
|
1251 |
},
|
1252 |
"step": 2187
|
1253 |
},
|
1254 |
{
|
1255 |
"epoch": 28.0,
|
1256 |
"eval_Claim": {
|
1257 |
+
"f1-score": 0.6362290227048372,
|
1258 |
+
"precision": 0.654979674796748,
|
1259 |
+
"recall": 0.6185220729366603,
|
1260 |
+
"support": 4168.0
|
1261 |
},
|
1262 |
"eval_MajorClaim": {
|
1263 |
+
"f1-score": 0.831056793673616,
|
1264 |
+
"precision": 0.8579910935180604,
|
1265 |
+
"recall": 0.8057620817843866,
|
1266 |
+
"support": 2152.0
|
1267 |
},
|
1268 |
"eval_O": {
|
1269 |
+
"f1-score": 0.9264762322495751,
|
1270 |
+
"precision": 0.9374237212914679,
|
1271 |
+
"recall": 0.9157814871016692,
|
1272 |
+
"support": 9226.0
|
1273 |
},
|
1274 |
"eval_Premise": {
|
1275 |
+
"f1-score": 0.8929698244478602,
|
1276 |
+
"precision": 0.8726381532136928,
|
1277 |
+
"recall": 0.9142715149507165,
|
1278 |
+
"support": 12073.0
|
1279 |
},
|
1280 |
+
"eval_accuracy": 0.8616894167058908,
|
1281 |
+
"eval_loss": 1.0252758264541626,
|
1282 |
"eval_macro avg": {
|
1283 |
+
"f1-score": 0.8216829682689721,
|
1284 |
+
"precision": 0.8307581607049922,
|
1285 |
+
"recall": 0.8135842891933581,
|
1286 |
+
"support": 27619.0
|
1287 |
+
},
|
1288 |
+
"eval_runtime": 4.7454,
|
1289 |
+
"eval_samples_per_second": 16.858,
|
1290 |
+
"eval_steps_per_second": 2.107,
|
1291 |
"eval_weighted avg": {
|
1292 |
+
"f1-score": 0.8605934753580137,
|
1293 |
+
"precision": 0.8602912413261778,
|
1294 |
+
"recall": 0.8616894167058908,
|
1295 |
+
"support": 27619.0
|
1296 |
},
|
1297 |
"step": 2268
|
1298 |
}
|
|
|
1302 |
"num_input_tokens_seen": 0,
|
1303 |
"num_train_epochs": 50,
|
1304 |
"save_steps": 500,
|
1305 |
+
"total_flos": 4026084516350400.0,
|
1306 |
"train_batch_size": 4,
|
1307 |
"trial_name": null,
|
1308 |
"trial_params": null
|
checkpoint-2268/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 sha256:1e651c478af6098730eda01c59bbe4834fbad7ed476e7ec6e4265141ee6647e9
|
3 |
size 4856
|