Theoreticallyhugo
commited on
Commit
•
189f037
1
Parent(s):
0a35717
Training in progress, epoch 6, checkpoint
Browse files- checkpoint-486/model.safetensors +1 -1
- checkpoint-486/optimizer.pt +1 -1
- checkpoint-486/rng_state.pth +1 -1
- checkpoint-486/trainer_state.json +253 -253
- checkpoint-486/training_args.bin +1 -1
checkpoint-486/model.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 592330980
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:41c521ac88c7d00ef6f9fa3dec79264347144248fe3dadb525665cfa50a96689
|
3 |
size 592330980
|
checkpoint-486/optimizer.pt
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 1014670074
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:304c38fe468cdd24f92cba6e49a1850deee3f6d8df6e2f03cded13a660b740e6
|
3 |
size 1014670074
|
checkpoint-486/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 sha256:0f891ea0618b7d3999f24558d90e9c033c85e76f5c1de754b03ef890648ce2bb
|
3 |
size 14244
|
checkpoint-486/trainer_state.json
CHANGED
@@ -11,378 +11,378 @@
|
|
11 |
{
|
12 |
"epoch": 1.0,
|
13 |
"eval_B-Claim": {
|
14 |
-
"f1-score": 0.
|
15 |
-
"precision": 0.
|
16 |
-
"recall": 0.
|
17 |
-
"support":
|
18 |
},
|
19 |
"eval_B-MajorClaim": {
|
20 |
-
"f1-score": 0.
|
21 |
-
"precision":
|
22 |
-
"recall": 0.
|
23 |
-
"support":
|
24 |
},
|
25 |
"eval_B-Premise": {
|
26 |
-
"f1-score": 0.
|
27 |
-
"precision": 0.
|
28 |
-
"recall": 0.
|
29 |
-
"support":
|
30 |
},
|
31 |
"eval_I-Claim": {
|
32 |
-
"f1-score": 0.
|
33 |
-
"precision": 0.
|
34 |
-
"recall": 0.
|
35 |
-
"support":
|
36 |
},
|
37 |
"eval_I-MajorClaim": {
|
38 |
-
"f1-score": 0.
|
39 |
-
"precision": 0.
|
40 |
-
"recall": 0.
|
41 |
-
"support":
|
42 |
},
|
43 |
"eval_I-Premise": {
|
44 |
-
"f1-score": 0.
|
45 |
-
"precision": 0.
|
46 |
-
"recall": 0.
|
47 |
-
"support":
|
48 |
},
|
49 |
"eval_O": {
|
50 |
-
"f1-score": 0.
|
51 |
-
"precision": 0.
|
52 |
-
"recall": 0.
|
53 |
-
"support":
|
54 |
},
|
55 |
-
"eval_accuracy": 0.
|
56 |
-
"eval_loss": 0.
|
57 |
"eval_macro avg": {
|
58 |
-
"f1-score": 0.
|
59 |
-
"precision": 0.
|
60 |
-
"recall": 0.
|
61 |
-
"support":
|
62 |
-
},
|
63 |
-
"eval_runtime":
|
64 |
-
"eval_samples_per_second": 16.
|
65 |
-
"eval_steps_per_second": 2.
|
66 |
"eval_weighted avg": {
|
67 |
-
"f1-score": 0.
|
68 |
-
"precision": 0.
|
69 |
-
"recall": 0.
|
70 |
-
"support":
|
71 |
},
|
72 |
"step": 81
|
73 |
},
|
74 |
{
|
75 |
"epoch": 2.0,
|
76 |
"eval_B-Claim": {
|
77 |
-
"f1-score": 0.
|
78 |
-
"precision": 0.
|
79 |
-
"recall": 0.
|
80 |
-
"support":
|
81 |
},
|
82 |
"eval_B-MajorClaim": {
|
83 |
-
"f1-score": 0.
|
84 |
-
"precision": 0.
|
85 |
-
"recall": 0.
|
86 |
-
"support":
|
87 |
},
|
88 |
"eval_B-Premise": {
|
89 |
-
"f1-score": 0.
|
90 |
-
"precision": 0.
|
91 |
-
"recall": 0.
|
92 |
-
"support":
|
93 |
},
|
94 |
"eval_I-Claim": {
|
95 |
-
"f1-score": 0.
|
96 |
-
"precision": 0.
|
97 |
-
"recall": 0.
|
98 |
-
"support":
|
99 |
},
|
100 |
"eval_I-MajorClaim": {
|
101 |
-
"f1-score": 0.
|
102 |
-
"precision": 0.
|
103 |
-
"recall": 0.
|
104 |
-
"support":
|
105 |
},
|
106 |
"eval_I-Premise": {
|
107 |
-
"f1-score": 0.
|
108 |
-
"precision": 0.
|
109 |
-
"recall": 0.
|
110 |
-
"support":
|
111 |
},
|
112 |
"eval_O": {
|
113 |
-
"f1-score": 0.
|
114 |
-
"precision": 0
|
115 |
-
"recall": 0.
|
116 |
-
"support":
|
117 |
},
|
118 |
-
"eval_accuracy": 0.
|
119 |
-
"eval_loss": 0.
|
120 |
"eval_macro avg": {
|
121 |
-
"f1-score": 0.
|
122 |
-
"precision": 0.
|
123 |
-
"recall": 0.
|
124 |
-
"support":
|
125 |
-
},
|
126 |
-
"eval_runtime":
|
127 |
-
"eval_samples_per_second": 16.
|
128 |
-
"eval_steps_per_second": 2.
|
129 |
"eval_weighted avg": {
|
130 |
-
"f1-score": 0.
|
131 |
-
"precision": 0.
|
132 |
-
"recall": 0.
|
133 |
-
"support":
|
134 |
},
|
135 |
"step": 162
|
136 |
},
|
137 |
{
|
138 |
"epoch": 3.0,
|
139 |
"eval_B-Claim": {
|
140 |
-
"f1-score": 0.
|
141 |
-
"precision": 0.
|
142 |
-
"recall": 0.
|
143 |
-
"support":
|
144 |
},
|
145 |
"eval_B-MajorClaim": {
|
146 |
-
"f1-score": 0.
|
147 |
-
"precision": 0.
|
148 |
-
"recall": 0.
|
149 |
-
"support":
|
150 |
},
|
151 |
"eval_B-Premise": {
|
152 |
-
"f1-score": 0.
|
153 |
-
"precision": 0.
|
154 |
-
"recall": 0.
|
155 |
-
"support":
|
156 |
},
|
157 |
"eval_I-Claim": {
|
158 |
-
"f1-score": 0.
|
159 |
-
"precision": 0.
|
160 |
-
"recall": 0.
|
161 |
-
"support":
|
162 |
},
|
163 |
"eval_I-MajorClaim": {
|
164 |
-
"f1-score": 0.
|
165 |
-
"precision": 0.
|
166 |
-
"recall": 0.
|
167 |
-
"support":
|
168 |
},
|
169 |
"eval_I-Premise": {
|
170 |
-
"f1-score": 0.
|
171 |
-
"precision": 0.
|
172 |
-
"recall": 0.
|
173 |
-
"support":
|
174 |
},
|
175 |
"eval_O": {
|
176 |
-
"f1-score": 0.
|
177 |
-
"precision": 0
|
178 |
-
"recall": 0.
|
179 |
-
"support":
|
180 |
},
|
181 |
-
"eval_accuracy": 0.
|
182 |
-
"eval_loss": 0.
|
183 |
"eval_macro avg": {
|
184 |
-
"f1-score": 0.
|
185 |
-
"precision": 0.
|
186 |
-
"recall": 0.
|
187 |
-
"support":
|
188 |
-
},
|
189 |
-
"eval_runtime":
|
190 |
-
"eval_samples_per_second":
|
191 |
-
"eval_steps_per_second": 2.
|
192 |
"eval_weighted avg": {
|
193 |
-
"f1-score": 0.
|
194 |
-
"precision": 0.
|
195 |
-
"recall": 0.
|
196 |
-
"support":
|
197 |
},
|
198 |
"step": 243
|
199 |
},
|
200 |
{
|
201 |
"epoch": 4.0,
|
202 |
"eval_B-Claim": {
|
203 |
-
"f1-score": 0.
|
204 |
-
"precision": 0.
|
205 |
-
"recall": 0.
|
206 |
-
"support":
|
207 |
},
|
208 |
"eval_B-MajorClaim": {
|
209 |
-
"f1-score": 0.
|
210 |
-
"precision": 0.
|
211 |
-
"recall": 0.
|
212 |
-
"support":
|
213 |
},
|
214 |
"eval_B-Premise": {
|
215 |
-
"f1-score": 0.
|
216 |
-
"precision": 0.
|
217 |
-
"recall": 0.
|
218 |
-
"support":
|
219 |
},
|
220 |
"eval_I-Claim": {
|
221 |
-
"f1-score": 0.
|
222 |
-
"precision": 0.
|
223 |
-
"recall": 0.
|
224 |
-
"support":
|
225 |
},
|
226 |
"eval_I-MajorClaim": {
|
227 |
-
"f1-score": 0.
|
228 |
-
"precision": 0.
|
229 |
-
"recall": 0.
|
230 |
-
"support":
|
231 |
},
|
232 |
"eval_I-Premise": {
|
233 |
-
"f1-score": 0.
|
234 |
-
"precision": 0.
|
235 |
-
"recall": 0.
|
236 |
-
"support":
|
237 |
},
|
238 |
"eval_O": {
|
239 |
-
"f1-score": 0.
|
240 |
-
"precision": 0.
|
241 |
-
"recall": 0.
|
242 |
-
"support":
|
243 |
},
|
244 |
-
"eval_accuracy": 0.
|
245 |
-
"eval_loss": 0.
|
246 |
"eval_macro avg": {
|
247 |
-
"f1-score": 0.
|
248 |
-
"precision": 0.
|
249 |
-
"recall": 0.
|
250 |
-
"support":
|
251 |
-
},
|
252 |
-
"eval_runtime":
|
253 |
-
"eval_samples_per_second": 16.
|
254 |
-
"eval_steps_per_second": 2.
|
255 |
"eval_weighted avg": {
|
256 |
-
"f1-score": 0.
|
257 |
-
"precision": 0.
|
258 |
-
"recall": 0.
|
259 |
-
"support":
|
260 |
},
|
261 |
"step": 324
|
262 |
},
|
263 |
{
|
264 |
"epoch": 5.0,
|
265 |
"eval_B-Claim": {
|
266 |
-
"f1-score": 0.
|
267 |
-
"precision": 0.
|
268 |
-
"recall": 0.
|
269 |
-
"support":
|
270 |
},
|
271 |
"eval_B-MajorClaim": {
|
272 |
-
"f1-score": 0.
|
273 |
-
"precision": 0.
|
274 |
-
"recall": 0.
|
275 |
-
"support":
|
276 |
},
|
277 |
"eval_B-Premise": {
|
278 |
-
"f1-score": 0.
|
279 |
-
"precision": 0.
|
280 |
-
"recall": 0.
|
281 |
-
"support":
|
282 |
},
|
283 |
"eval_I-Claim": {
|
284 |
-
"f1-score": 0.
|
285 |
-
"precision": 0.
|
286 |
-
"recall": 0.
|
287 |
-
"support":
|
288 |
},
|
289 |
"eval_I-MajorClaim": {
|
290 |
-
"f1-score": 0.
|
291 |
-
"precision": 0.
|
292 |
-
"recall": 0.
|
293 |
-
"support":
|
294 |
},
|
295 |
"eval_I-Premise": {
|
296 |
-
"f1-score": 0.
|
297 |
-
"precision": 0.
|
298 |
-
"recall": 0.
|
299 |
-
"support":
|
300 |
},
|
301 |
"eval_O": {
|
302 |
-
"f1-score": 0.
|
303 |
-
"precision": 0
|
304 |
-
"recall": 0.
|
305 |
-
"support":
|
306 |
},
|
307 |
-
"eval_accuracy": 0.
|
308 |
-
"eval_loss": 0.
|
309 |
"eval_macro avg": {
|
310 |
-
"f1-score": 0.
|
311 |
-
"precision": 0.
|
312 |
-
"recall": 0.
|
313 |
-
"support":
|
314 |
-
},
|
315 |
-
"eval_runtime":
|
316 |
-
"eval_samples_per_second":
|
317 |
-
"eval_steps_per_second": 2.
|
318 |
"eval_weighted avg": {
|
319 |
-
"f1-score": 0.
|
320 |
-
"precision": 0.
|
321 |
-
"recall": 0.
|
322 |
-
"support":
|
323 |
},
|
324 |
"step": 405
|
325 |
},
|
326 |
{
|
327 |
"epoch": 6.0,
|
328 |
"eval_B-Claim": {
|
329 |
-
"f1-score": 0.
|
330 |
-
"precision": 0.
|
331 |
-
"recall": 0.
|
332 |
-
"support":
|
333 |
},
|
334 |
"eval_B-MajorClaim": {
|
335 |
-
"f1-score": 0.
|
336 |
-
"precision": 0.
|
337 |
-
"recall": 0.
|
338 |
-
"support":
|
339 |
},
|
340 |
"eval_B-Premise": {
|
341 |
-
"f1-score": 0.
|
342 |
-
"precision": 0.
|
343 |
-
"recall": 0.
|
344 |
-
"support":
|
345 |
},
|
346 |
"eval_I-Claim": {
|
347 |
-
"f1-score": 0.
|
348 |
-
"precision": 0.
|
349 |
-
"recall": 0.
|
350 |
-
"support":
|
351 |
},
|
352 |
"eval_I-MajorClaim": {
|
353 |
-
"f1-score": 0.
|
354 |
-
"precision": 0.
|
355 |
-
"recall": 0.
|
356 |
-
"support":
|
357 |
},
|
358 |
"eval_I-Premise": {
|
359 |
-
"f1-score": 0.
|
360 |
-
"precision": 0.
|
361 |
-
"recall": 0.
|
362 |
-
"support":
|
363 |
},
|
364 |
"eval_O": {
|
365 |
-
"f1-score": 0
|
366 |
-
"precision": 0
|
367 |
-
"recall": 0
|
368 |
-
"support":
|
369 |
},
|
370 |
-
"eval_accuracy": 0.
|
371 |
-
"eval_loss": 0.
|
372 |
"eval_macro avg": {
|
373 |
-
"f1-score": 0.
|
374 |
-
"precision": 0.
|
375 |
-
"recall": 0.
|
376 |
-
"support":
|
377 |
-
},
|
378 |
-
"eval_runtime":
|
379 |
-
"eval_samples_per_second":
|
380 |
-
"eval_steps_per_second": 2.
|
381 |
"eval_weighted avg": {
|
382 |
-
"f1-score": 0.
|
383 |
-
"precision": 0.
|
384 |
-
"recall": 0.
|
385 |
-
"support":
|
386 |
},
|
387 |
"step": 486
|
388 |
}
|
@@ -392,7 +392,7 @@
|
|
392 |
"num_input_tokens_seen": 0,
|
393 |
"num_train_epochs": 50,
|
394 |
"save_steps": 500,
|
395 |
-
"total_flos":
|
396 |
"train_batch_size": 4,
|
397 |
"trial_name": null,
|
398 |
"trial_params": null
|
|
|
11 |
{
|
12 |
"epoch": 1.0,
|
13 |
"eval_B-Claim": {
|
14 |
+
"f1-score": 0.37160751565762,
|
15 |
+
"precision": 0.42788461538461536,
|
16 |
+
"recall": 0.3284132841328413,
|
17 |
+
"support": 271.0
|
18 |
},
|
19 |
"eval_B-MajorClaim": {
|
20 |
+
"f1-score": 0.3578947368421052,
|
21 |
+
"precision": 0.6666666666666666,
|
22 |
+
"recall": 0.2446043165467626,
|
23 |
+
"support": 139.0
|
24 |
},
|
25 |
"eval_B-Premise": {
|
26 |
+
"f1-score": 0.8640915593705293,
|
27 |
+
"precision": 0.7895424836601307,
|
28 |
+
"recall": 0.9541864139020537,
|
29 |
+
"support": 633.0
|
30 |
},
|
31 |
"eval_I-Claim": {
|
32 |
+
"f1-score": 0.5003402749421533,
|
33 |
+
"precision": 0.5493126120741183,
|
34 |
+
"recall": 0.4593851537115721,
|
35 |
+
"support": 4001.0
|
36 |
},
|
37 |
"eval_I-MajorClaim": {
|
38 |
+
"f1-score": 0.7718093699515347,
|
39 |
+
"precision": 0.6502211636611093,
|
40 |
+
"recall": 0.9493293591654247,
|
41 |
+
"support": 2013.0
|
42 |
},
|
43 |
"eval_I-Premise": {
|
44 |
+
"f1-score": 0.875016720916752,
|
45 |
+
"precision": 0.8846812731043188,
|
46 |
+
"recall": 0.865561044460127,
|
47 |
+
"support": 11336.0
|
48 |
},
|
49 |
"eval_O": {
|
50 |
+
"f1-score": 0.9992483530087988,
|
51 |
+
"precision": 0.9995577178239717,
|
52 |
+
"recall": 0.998939179632249,
|
53 |
+
"support": 11312.0
|
54 |
},
|
55 |
+
"eval_accuracy": 0.8614038040733883,
|
56 |
+
"eval_loss": 0.31713685393333435,
|
57 |
"eval_macro avg": {
|
58 |
+
"f1-score": 0.6771440758127848,
|
59 |
+
"precision": 0.7096952189107044,
|
60 |
+
"recall": 0.685774107364433,
|
61 |
+
"support": 29705.0
|
62 |
+
},
|
63 |
+
"eval_runtime": 4.8338,
|
64 |
+
"eval_samples_per_second": 16.55,
|
65 |
+
"eval_steps_per_second": 2.069,
|
66 |
"eval_weighted avg": {
|
67 |
+
"f1-score": 0.8576207231627551,
|
68 |
+
"precision": 0.8601529227027923,
|
69 |
+
"recall": 0.8614038040733883,
|
70 |
+
"support": 29705.0
|
71 |
},
|
72 |
"step": 81
|
73 |
},
|
74 |
{
|
75 |
"epoch": 2.0,
|
76 |
"eval_B-Claim": {
|
77 |
+
"f1-score": 0.4708624708624709,
|
78 |
+
"precision": 0.6392405063291139,
|
79 |
+
"recall": 0.3726937269372694,
|
80 |
+
"support": 271.0
|
81 |
},
|
82 |
"eval_B-MajorClaim": {
|
83 |
+
"f1-score": 0.796875,
|
84 |
+
"precision": 0.8717948717948718,
|
85 |
+
"recall": 0.7338129496402878,
|
86 |
+
"support": 139.0
|
87 |
},
|
88 |
"eval_B-Premise": {
|
89 |
+
"f1-score": 0.8736616702355461,
|
90 |
+
"precision": 0.796875,
|
91 |
+
"recall": 0.966824644549763,
|
92 |
+
"support": 633.0
|
93 |
},
|
94 |
"eval_I-Claim": {
|
95 |
+
"f1-score": 0.5100589925881107,
|
96 |
+
"precision": 0.6459770114942529,
|
97 |
+
"recall": 0.4213946513371657,
|
98 |
+
"support": 4001.0
|
99 |
},
|
100 |
"eval_I-MajorClaim": {
|
101 |
+
"f1-score": 0.8401387776888176,
|
102 |
+
"precision": 0.9077277970011534,
|
103 |
+
"recall": 0.7819175360158966,
|
104 |
+
"support": 2013.0
|
105 |
},
|
106 |
"eval_I-Premise": {
|
107 |
+
"f1-score": 0.8912891699864469,
|
108 |
+
"precision": 0.8338584492430646,
|
109 |
+
"recall": 0.9572159491884262,
|
110 |
+
"support": 11336.0
|
111 |
},
|
112 |
"eval_O": {
|
113 |
+
"f1-score": 0.9996904982977407,
|
114 |
+
"precision": 1.0,
|
115 |
+
"recall": 0.9993811881188119,
|
116 |
+
"support": 11312.0
|
117 |
},
|
118 |
+
"eval_accuracy": 0.8830499915839084,
|
119 |
+
"eval_loss": 0.2966194748878479,
|
120 |
"eval_macro avg": {
|
121 |
+
"f1-score": 0.7689395113798762,
|
122 |
+
"precision": 0.8136390908374939,
|
123 |
+
"recall": 0.7476058065410885,
|
124 |
+
"support": 29705.0
|
125 |
+
},
|
126 |
+
"eval_runtime": 4.8625,
|
127 |
+
"eval_samples_per_second": 16.452,
|
128 |
+
"eval_steps_per_second": 2.057,
|
129 |
"eval_weighted avg": {
|
130 |
+
"f1-score": 0.8731020208182413,
|
131 |
+
"precision": 0.874440834821272,
|
132 |
+
"recall": 0.8830499915839084,
|
133 |
+
"support": 29705.0
|
134 |
},
|
135 |
"step": 162
|
136 |
},
|
137 |
{
|
138 |
"epoch": 3.0,
|
139 |
"eval_B-Claim": {
|
140 |
+
"f1-score": 0.6085192697768763,
|
141 |
+
"precision": 0.6756756756756757,
|
142 |
+
"recall": 0.5535055350553506,
|
143 |
+
"support": 271.0
|
144 |
},
|
145 |
"eval_B-MajorClaim": {
|
146 |
+
"f1-score": 0.8571428571428571,
|
147 |
+
"precision": 0.851063829787234,
|
148 |
+
"recall": 0.8633093525179856,
|
149 |
+
"support": 139.0
|
150 |
},
|
151 |
"eval_B-Premise": {
|
152 |
+
"f1-score": 0.8834729626808834,
|
153 |
+
"precision": 0.8529411764705882,
|
154 |
+
"recall": 0.9162717219589257,
|
155 |
+
"support": 633.0
|
156 |
},
|
157 |
"eval_I-Claim": {
|
158 |
+
"f1-score": 0.5764474423833614,
|
159 |
+
"precision": 0.6584269662921348,
|
160 |
+
"recall": 0.5126218445388653,
|
161 |
+
"support": 4001.0
|
162 |
},
|
163 |
"eval_I-MajorClaim": {
|
164 |
+
"f1-score": 0.8581151832460733,
|
165 |
+
"precision": 0.9070282235749861,
|
166 |
+
"recall": 0.8142076502732241,
|
167 |
+
"support": 2013.0
|
168 |
},
|
169 |
"eval_I-Premise": {
|
170 |
+
"f1-score": 0.8959744247675935,
|
171 |
+
"precision": 0.8563158317922328,
|
172 |
+
"recall": 0.939484827099506,
|
173 |
+
"support": 11336.0
|
174 |
},
|
175 |
"eval_O": {
|
176 |
+
"f1-score": 0.9996020340481981,
|
177 |
+
"precision": 1.0,
|
178 |
+
"recall": 0.9992043847241867,
|
179 |
+
"support": 11312.0
|
180 |
},
|
181 |
+
"eval_accuracy": 0.8918700555462044,
|
182 |
+
"eval_loss": 0.2552729547023773,
|
183 |
"eval_macro avg": {
|
184 |
+
"f1-score": 0.811324882006549,
|
185 |
+
"precision": 0.8287788147989789,
|
186 |
+
"recall": 0.7998007594525776,
|
187 |
+
"support": 29705.0
|
188 |
+
},
|
189 |
+
"eval_runtime": 4.8422,
|
190 |
+
"eval_samples_per_second": 16.522,
|
191 |
+
"eval_steps_per_second": 2.065,
|
192 |
"eval_weighted avg": {
|
193 |
+
"f1-score": 0.8867633844066056,
|
194 |
+
"precision": 0.886070631898416,
|
195 |
+
"recall": 0.8918700555462044,
|
196 |
+
"support": 29705.0
|
197 |
},
|
198 |
"step": 243
|
199 |
},
|
200 |
{
|
201 |
"epoch": 4.0,
|
202 |
"eval_B-Claim": {
|
203 |
+
"f1-score": 0.6722408026755852,
|
204 |
+
"precision": 0.6146788990825688,
|
205 |
+
"recall": 0.7416974169741697,
|
206 |
+
"support": 271.0
|
207 |
},
|
208 |
"eval_B-MajorClaim": {
|
209 |
+
"f1-score": 0.8664259927797834,
|
210 |
+
"precision": 0.8695652173913043,
|
211 |
+
"recall": 0.8633093525179856,
|
212 |
+
"support": 139.0
|
213 |
},
|
214 |
"eval_B-Premise": {
|
215 |
+
"f1-score": 0.8687035507844755,
|
216 |
+
"precision": 0.9100346020761245,
|
217 |
+
"recall": 0.8309636650868878,
|
218 |
+
"support": 633.0
|
219 |
},
|
220 |
"eval_I-Claim": {
|
221 |
+
"f1-score": 0.6483151400094921,
|
222 |
+
"precision": 0.6171222046532641,
|
223 |
+
"recall": 0.6828292926768308,
|
224 |
+
"support": 4001.0
|
225 |
},
|
226 |
"eval_I-MajorClaim": {
|
227 |
+
"f1-score": 0.8696993060909791,
|
228 |
+
"precision": 0.9009584664536742,
|
229 |
+
"recall": 0.8405365126676602,
|
230 |
+
"support": 2013.0
|
231 |
},
|
232 |
"eval_I-Premise": {
|
233 |
+
"f1-score": 0.8906159274643798,
|
234 |
+
"precision": 0.9020175517958925,
|
235 |
+
"recall": 0.879498941425547,
|
236 |
+
"support": 11336.0
|
237 |
},
|
238 |
"eval_O": {
|
239 |
+
"f1-score": 0.999557835160948,
|
240 |
+
"precision": 0.9999115357395613,
|
241 |
+
"recall": 0.9992043847241867,
|
242 |
+
"support": 11312.0
|
243 |
},
|
244 |
+
"eval_accuracy": 0.8935869382258879,
|
245 |
+
"eval_loss": 0.29465603828430176,
|
246 |
"eval_macro avg": {
|
247 |
+
"f1-score": 0.8307940792808061,
|
248 |
+
"precision": 0.8306126395989127,
|
249 |
+
"recall": 0.8340056522961811,
|
250 |
+
"support": 29705.0
|
251 |
+
},
|
252 |
+
"eval_runtime": 4.8494,
|
253 |
+
"eval_samples_per_second": 16.497,
|
254 |
+
"eval_steps_per_second": 2.062,
|
255 |
"eval_weighted avg": {
|
256 |
+
"f1-score": 0.8954766464091573,
|
257 |
+
"precision": 0.8982496227307208,
|
258 |
+
"recall": 0.8935869382258879,
|
259 |
+
"support": 29705.0
|
260 |
},
|
261 |
"step": 324
|
262 |
},
|
263 |
{
|
264 |
"epoch": 5.0,
|
265 |
"eval_B-Claim": {
|
266 |
+
"f1-score": 0.6438095238095239,
|
267 |
+
"precision": 0.6653543307086615,
|
268 |
+
"recall": 0.6236162361623616,
|
269 |
+
"support": 271.0
|
270 |
},
|
271 |
"eval_B-MajorClaim": {
|
272 |
+
"f1-score": 0.8785714285714286,
|
273 |
+
"precision": 0.8723404255319149,
|
274 |
+
"recall": 0.8848920863309353,
|
275 |
+
"support": 139.0
|
276 |
},
|
277 |
"eval_B-Premise": {
|
278 |
+
"f1-score": 0.8783151326053042,
|
279 |
+
"precision": 0.8674884437596302,
|
280 |
+
"recall": 0.8894154818325435,
|
281 |
+
"support": 633.0
|
282 |
},
|
283 |
"eval_I-Claim": {
|
284 |
+
"f1-score": 0.6283729628640129,
|
285 |
+
"precision": 0.6748923959827834,
|
286 |
+
"recall": 0.5878530367408148,
|
287 |
+
"support": 4001.0
|
288 |
},
|
289 |
"eval_I-MajorClaim": {
|
290 |
+
"f1-score": 0.885450461692039,
|
291 |
+
"precision": 0.8896690070210632,
|
292 |
+
"recall": 0.8812717337307501,
|
293 |
+
"support": 2013.0
|
294 |
},
|
295 |
"eval_I-Premise": {
|
296 |
+
"f1-score": 0.8989315871101154,
|
297 |
+
"precision": 0.878494442573257,
|
298 |
+
"recall": 0.9203422724064926,
|
299 |
+
"support": 11336.0
|
300 |
},
|
301 |
"eval_O": {
|
302 |
+
"f1-score": 0.9997347245556637,
|
303 |
+
"precision": 1.0,
|
304 |
+
"recall": 0.9994695898161244,
|
305 |
+
"support": 11312.0
|
306 |
},
|
307 |
+
"eval_accuracy": 0.8995118666891095,
|
308 |
+
"eval_loss": 0.3176642060279846,
|
309 |
"eval_macro avg": {
|
310 |
+
"f1-score": 0.830455117315441,
|
311 |
+
"precision": 0.8354627207967587,
|
312 |
+
"recall": 0.8266943481457174,
|
313 |
+
"support": 29705.0
|
314 |
+
},
|
315 |
+
"eval_runtime": 4.8682,
|
316 |
+
"eval_samples_per_second": 16.433,
|
317 |
+
"eval_steps_per_second": 2.054,
|
318 |
"eval_weighted avg": {
|
319 |
+
"f1-score": 0.8971010593476484,
|
320 |
+
"precision": 0.8958911872123141,
|
321 |
+
"recall": 0.8995118666891095,
|
322 |
+
"support": 29705.0
|
323 |
},
|
324 |
"step": 405
|
325 |
},
|
326 |
{
|
327 |
"epoch": 6.0,
|
328 |
"eval_B-Claim": {
|
329 |
+
"f1-score": 0.6150712830957231,
|
330 |
+
"precision": 0.6863636363636364,
|
331 |
+
"recall": 0.5571955719557196,
|
332 |
+
"support": 271.0
|
333 |
},
|
334 |
"eval_B-MajorClaim": {
|
335 |
+
"f1-score": 0.8686131386861314,
|
336 |
+
"precision": 0.8814814814814815,
|
337 |
+
"recall": 0.8561151079136691,
|
338 |
+
"support": 139.0
|
339 |
},
|
340 |
"eval_B-Premise": {
|
341 |
+
"f1-score": 0.8804841149773072,
|
342 |
+
"precision": 0.8447024673439768,
|
343 |
+
"recall": 0.919431279620853,
|
344 |
+
"support": 633.0
|
345 |
},
|
346 |
"eval_I-Claim": {
|
347 |
+
"f1-score": 0.5758052970651396,
|
348 |
+
"precision": 0.6739276139410187,
|
349 |
+
"recall": 0.5026243439140214,
|
350 |
+
"support": 4001.0
|
351 |
},
|
352 |
"eval_I-MajorClaim": {
|
353 |
+
"f1-score": 0.8627552339105711,
|
354 |
+
"precision": 0.8992456896551724,
|
355 |
+
"recall": 0.829110779930452,
|
356 |
+
"support": 2013.0
|
357 |
},
|
358 |
"eval_I-Premise": {
|
359 |
+
"f1-score": 0.894107779408681,
|
360 |
+
"precision": 0.8521864257734432,
|
361 |
+
"recall": 0.9403669724770642,
|
362 |
+
"support": 11336.0
|
363 |
},
|
364 |
"eval_O": {
|
365 |
+
"f1-score": 1.0,
|
366 |
+
"precision": 1.0,
|
367 |
+
"recall": 1.0,
|
368 |
+
"support": 11312.0
|
369 |
},
|
370 |
+
"eval_accuracy": 0.8922403635751557,
|
371 |
+
"eval_loss": 0.41071853041648865,
|
372 |
"eval_macro avg": {
|
373 |
+
"f1-score": 0.8138338353062219,
|
374 |
+
"precision": 0.8339867592226755,
|
375 |
+
"recall": 0.8006920079731114,
|
376 |
+
"support": 29705.0
|
377 |
+
},
|
378 |
+
"eval_runtime": 4.8571,
|
379 |
+
"eval_samples_per_second": 16.471,
|
380 |
+
"eval_steps_per_second": 2.059,
|
381 |
"eval_weighted avg": {
|
382 |
+
"f1-score": 0.8864802913843919,
|
383 |
+
"precision": 0.8861194550557427,
|
384 |
+
"recall": 0.8922403635751557,
|
385 |
+
"support": 29705.0
|
386 |
},
|
387 |
"step": 486
|
388 |
}
|
|
|
392 |
"num_input_tokens_seen": 0,
|
393 |
"num_train_epochs": 50,
|
394 |
"save_steps": 500,
|
395 |
+
"total_flos": 862744876308000.0,
|
396 |
"train_batch_size": 4,
|
397 |
"trial_name": null,
|
398 |
"trial_params": null
|
checkpoint-486/training_args.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 4920
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:e3aa7d1dcb1ecb96052506e9849f1d3fa19e688784f8ea37f784dfaca9546785
|
3 |
size 4920
|