chizhik
commited on
Commit
•
2724fbb
1
Parent(s):
b78d151
re-trained model after eliminating annotation errors
Browse files- README.md +0 -4
- optimizer.pt +1 -1
- pytorch_model.bin +1 -1
- rng_state.pth +2 -2
- scheduler.pt +1 -1
- tokenizer.json +6 -1
- trainer_state.json +404 -294
- training_args.bin +1 -1
README.md
DELETED
@@ -1,4 +0,0 @@
|
|
1 |
-
---
|
2 |
-
license: afl-3.0
|
3 |
-
inference: false
|
4 |
-
---
|
|
|
|
|
|
|
|
|
|
optimizer.pt
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 924893085
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9da9dddf0cfbf346edd2ca654882f56561949189ca0c9b562cef512f86ccfb4d
|
3 |
size 924893085
|
pytorch_model.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 462459309
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:a393efa30dd905fa9d799bd88308d72d2ef5859e8b9d02229af7c534d5a84f76
|
3 |
size 462459309
|
rng_state.pth
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
-
size
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:be9a74d5f00cf5a029abab89255469fc995f5fe9e1de9b33c8e29137e5472212
|
3 |
+
size 14567
|
scheduler.pt
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 623
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:947f2a3c7397d694c3a87a2fa268dc849fc1c15ee2221ef0434c5ad05dcef178
|
3 |
size 623
|
tokenizer.json
CHANGED
@@ -1,6 +1,11 @@
|
|
1 |
{
|
2 |
"version": "1.0",
|
3 |
-
"truncation":
|
|
|
|
|
|
|
|
|
|
|
4 |
"padding": null,
|
5 |
"added_tokens": [
|
6 |
{
|
|
|
1 |
{
|
2 |
"version": "1.0",
|
3 |
+
"truncation": {
|
4 |
+
"direction": "Right",
|
5 |
+
"max_length": 512,
|
6 |
+
"strategy": "LongestFirst",
|
7 |
+
"stride": 0
|
8 |
+
},
|
9 |
"padding": null,
|
10 |
"added_tokens": [
|
11 |
{
|
trainer_state.json
CHANGED
@@ -1,396 +1,506 @@
|
|
1 |
{
|
2 |
-
"best_metric": 0.
|
3 |
-
"best_model_checkpoint": "./CARES/checkpoints/bio-ber-stratified/run-
|
4 |
-
"epoch":
|
5 |
-
"global_step":
|
6 |
"is_hyper_param_search": true,
|
7 |
"is_local_process_zero": true,
|
8 |
"is_world_process_zero": true,
|
9 |
"log_history": [
|
10 |
{
|
11 |
-
"epoch":
|
12 |
-
"eval_loss": 0.
|
13 |
-
"eval_macro_f1": 0.
|
14 |
-
"eval_macro_precision": 0.
|
15 |
-
"eval_macro_recall": 0.
|
16 |
-
"eval_micro_f1": 0.
|
17 |
-
"eval_micro_precision": 0.
|
18 |
-
"eval_micro_recall": 0.
|
19 |
-
"eval_runtime":
|
20 |
-
"eval_samples_per_second":
|
21 |
-
"eval_steps_per_second":
|
22 |
"step": 142
|
23 |
},
|
24 |
{
|
25 |
-
"epoch":
|
26 |
-
"eval_loss": 0.
|
27 |
-
"eval_macro_f1": 0.
|
28 |
-
"eval_macro_precision": 0.
|
29 |
-
"eval_macro_recall": 0.
|
30 |
-
"eval_micro_f1": 0.
|
31 |
-
"eval_micro_precision": 0.
|
32 |
-
"eval_micro_recall": 0.
|
33 |
-
"eval_runtime":
|
34 |
-
"eval_samples_per_second":
|
35 |
-
"eval_steps_per_second":
|
36 |
"step": 284
|
37 |
},
|
38 |
{
|
39 |
-
"epoch":
|
40 |
-
"eval_loss": 0.
|
41 |
-
"eval_macro_f1": 0.
|
42 |
-
"eval_macro_precision": 0.
|
43 |
-
"eval_macro_recall": 0.
|
44 |
-
"eval_micro_f1": 0.
|
45 |
-
"eval_micro_precision": 0.
|
46 |
-
"eval_micro_recall": 0.
|
47 |
-
"eval_runtime":
|
48 |
-
"eval_samples_per_second":
|
49 |
-
"eval_steps_per_second":
|
50 |
"step": 426
|
51 |
},
|
52 |
{
|
53 |
-
"epoch":
|
54 |
-
"learning_rate":
|
55 |
-
"loss": 0.
|
56 |
"step": 500
|
57 |
},
|
58 |
{
|
59 |
-
"epoch":
|
60 |
-
"eval_loss": 0.
|
61 |
-
"eval_macro_f1": 0.
|
62 |
-
"eval_macro_precision": 0.
|
63 |
-
"eval_macro_recall": 0.
|
64 |
-
"eval_micro_f1": 0.
|
65 |
-
"eval_micro_precision": 0.
|
66 |
-
"eval_micro_recall": 0.
|
67 |
-
"eval_runtime":
|
68 |
-
"eval_samples_per_second":
|
69 |
-
"eval_steps_per_second":
|
70 |
"step": 568
|
71 |
},
|
72 |
{
|
73 |
-
"epoch":
|
74 |
-
"eval_loss": 0.
|
75 |
-
"eval_macro_f1": 0.
|
76 |
-
"eval_macro_precision": 0.
|
77 |
-
"eval_macro_recall": 0.
|
78 |
-
"eval_micro_f1": 0.
|
79 |
-
"eval_micro_precision": 0.
|
80 |
-
"eval_micro_recall": 0.
|
81 |
-
"eval_runtime":
|
82 |
-
"eval_samples_per_second":
|
83 |
-
"eval_steps_per_second":
|
84 |
"step": 710
|
85 |
},
|
86 |
{
|
87 |
-
"epoch":
|
88 |
-
"eval_loss": 0.
|
89 |
-
"eval_macro_f1": 0.
|
90 |
-
"eval_macro_precision": 0.
|
91 |
-
"eval_macro_recall": 0.
|
92 |
-
"eval_micro_f1": 0.
|
93 |
-
"eval_micro_precision": 0.
|
94 |
-
"eval_micro_recall": 0.
|
95 |
-
"eval_runtime":
|
96 |
-
"eval_samples_per_second":
|
97 |
-
"eval_steps_per_second":
|
98 |
"step": 852
|
99 |
},
|
100 |
{
|
101 |
-
"epoch":
|
102 |
-
"eval_loss": 0.
|
103 |
-
"eval_macro_f1": 0.
|
104 |
-
"eval_macro_precision": 0.
|
105 |
-
"eval_macro_recall": 0.
|
106 |
-
"eval_micro_f1": 0.
|
107 |
-
"eval_micro_precision": 0.
|
108 |
-
"eval_micro_recall": 0.
|
109 |
-
"eval_runtime":
|
110 |
-
"eval_samples_per_second":
|
111 |
-
"eval_steps_per_second":
|
112 |
"step": 994
|
113 |
},
|
114 |
{
|
115 |
-
"epoch":
|
116 |
-
"learning_rate": 3.
|
117 |
-
"loss": 0.
|
118 |
"step": 1000
|
119 |
},
|
120 |
{
|
121 |
-
"epoch":
|
122 |
-
"eval_loss": 0.
|
123 |
-
"eval_macro_f1": 0.
|
124 |
-
"eval_macro_precision": 0.
|
125 |
-
"eval_macro_recall": 0.
|
126 |
-
"eval_micro_f1": 0.
|
127 |
-
"eval_micro_precision": 0.
|
128 |
-
"eval_micro_recall": 0.
|
129 |
-
"eval_runtime":
|
130 |
-
"eval_samples_per_second":
|
131 |
-
"eval_steps_per_second":
|
132 |
"step": 1136
|
133 |
},
|
134 |
{
|
135 |
-
"epoch":
|
136 |
-
"eval_loss": 0.
|
137 |
-
"eval_macro_f1": 0.
|
138 |
-
"eval_macro_precision": 0.
|
139 |
-
"eval_macro_recall": 0.
|
140 |
-
"eval_micro_f1": 0.
|
141 |
-
"eval_micro_precision": 0.
|
142 |
-
"eval_micro_recall": 0.
|
143 |
-
"eval_runtime":
|
144 |
-
"eval_samples_per_second":
|
145 |
-
"eval_steps_per_second":
|
146 |
"step": 1278
|
147 |
},
|
148 |
{
|
149 |
-
"epoch":
|
150 |
-
"eval_loss": 0.
|
151 |
-
"eval_macro_f1": 0.
|
152 |
-
"eval_macro_precision": 0.
|
153 |
-
"eval_macro_recall": 0.
|
154 |
-
"eval_micro_f1": 0.
|
155 |
-
"eval_micro_precision": 0.
|
156 |
-
"eval_micro_recall": 0.
|
157 |
-
"eval_runtime":
|
158 |
-
"eval_samples_per_second":
|
159 |
-
"eval_steps_per_second":
|
160 |
"step": 1420
|
161 |
},
|
162 |
{
|
163 |
-
"epoch":
|
164 |
-
"learning_rate":
|
165 |
-
"loss": 0.
|
166 |
"step": 1500
|
167 |
},
|
168 |
{
|
169 |
-
"epoch":
|
170 |
-
"eval_loss": 0.
|
171 |
-
"eval_macro_f1": 0.
|
172 |
-
"eval_macro_precision": 0.
|
173 |
-
"eval_macro_recall": 0.
|
174 |
-
"eval_micro_f1": 0.
|
175 |
-
"eval_micro_precision": 0.
|
176 |
-
"eval_micro_recall": 0.
|
177 |
-
"eval_runtime":
|
178 |
-
"eval_samples_per_second":
|
179 |
-
"eval_steps_per_second":
|
180 |
"step": 1562
|
181 |
},
|
182 |
{
|
183 |
-
"epoch":
|
184 |
-
"eval_loss": 0.
|
185 |
-
"eval_macro_f1": 0.
|
186 |
-
"eval_macro_precision": 0.
|
187 |
-
"eval_macro_recall": 0.
|
188 |
-
"eval_micro_f1": 0.
|
189 |
-
"eval_micro_precision": 0.
|
190 |
-
"eval_micro_recall": 0.
|
191 |
-
"eval_runtime":
|
192 |
-
"eval_samples_per_second":
|
193 |
-
"eval_steps_per_second":
|
194 |
"step": 1704
|
195 |
},
|
196 |
{
|
197 |
-
"epoch":
|
198 |
-
"eval_loss": 0.
|
199 |
-
"eval_macro_f1": 0.
|
200 |
-
"eval_macro_precision": 0.
|
201 |
-
"eval_macro_recall": 0.
|
202 |
-
"eval_micro_f1": 0.
|
203 |
-
"eval_micro_precision": 0.
|
204 |
-
"eval_micro_recall": 0.
|
205 |
-
"eval_runtime":
|
206 |
-
"eval_samples_per_second":
|
207 |
-
"eval_steps_per_second":
|
208 |
"step": 1846
|
209 |
},
|
210 |
{
|
211 |
-
"epoch":
|
212 |
-
"eval_loss": 0.
|
213 |
-
"eval_macro_f1": 0.
|
214 |
-
"eval_macro_precision": 0.
|
215 |
-
"eval_macro_recall": 0.
|
216 |
-
"eval_micro_f1": 0.
|
217 |
-
"eval_micro_precision": 0.
|
218 |
-
"eval_micro_recall": 0.
|
219 |
-
"eval_runtime":
|
220 |
-
"eval_samples_per_second":
|
221 |
-
"eval_steps_per_second":
|
222 |
"step": 1988
|
223 |
},
|
224 |
{
|
225 |
-
"epoch":
|
226 |
-
"learning_rate":
|
227 |
-
"loss": 0.
|
228 |
"step": 2000
|
229 |
},
|
230 |
{
|
231 |
-
"epoch":
|
232 |
-
"eval_loss": 0.
|
233 |
-
"eval_macro_f1": 0.
|
234 |
-
"eval_macro_precision": 0.
|
235 |
-
"eval_macro_recall": 0.
|
236 |
-
"eval_micro_f1": 0.
|
237 |
-
"eval_micro_precision": 0.
|
238 |
-
"eval_micro_recall": 0.
|
239 |
-
"eval_runtime":
|
240 |
-
"eval_samples_per_second":
|
241 |
-
"eval_steps_per_second":
|
242 |
"step": 2130
|
243 |
},
|
244 |
{
|
245 |
-
"epoch":
|
246 |
-
"eval_loss": 0.
|
247 |
-
"eval_macro_f1": 0.
|
248 |
-
"eval_macro_precision": 0.
|
249 |
-
"eval_macro_recall": 0.
|
250 |
-
"eval_micro_f1": 0.
|
251 |
-
"eval_micro_precision": 0.
|
252 |
-
"eval_micro_recall": 0.
|
253 |
-
"eval_runtime":
|
254 |
-
"eval_samples_per_second":
|
255 |
-
"eval_steps_per_second":
|
256 |
"step": 2272
|
257 |
},
|
258 |
{
|
259 |
-
"epoch":
|
260 |
-
"eval_loss": 0.
|
261 |
-
"eval_macro_f1": 0.
|
262 |
-
"eval_macro_precision": 0.
|
263 |
-
"eval_macro_recall": 0.
|
264 |
-
"eval_micro_f1": 0.
|
265 |
-
"eval_micro_precision": 0.
|
266 |
-
"eval_micro_recall": 0.
|
267 |
-
"eval_runtime":
|
268 |
-
"eval_samples_per_second":
|
269 |
-
"eval_steps_per_second":
|
270 |
"step": 2414
|
271 |
},
|
272 |
{
|
273 |
-
"epoch":
|
274 |
-
"learning_rate":
|
275 |
-
"loss": 0.
|
276 |
"step": 2500
|
277 |
},
|
278 |
{
|
279 |
-
"epoch":
|
280 |
-
"eval_loss": 0.
|
281 |
-
"eval_macro_f1": 0.
|
282 |
-
"eval_macro_precision": 0.
|
283 |
-
"eval_macro_recall": 0.
|
284 |
-
"eval_micro_f1": 0.
|
285 |
-
"eval_micro_precision": 0.
|
286 |
-
"eval_micro_recall": 0.
|
287 |
-
"eval_runtime":
|
288 |
-
"eval_samples_per_second":
|
289 |
-
"eval_steps_per_second":
|
290 |
"step": 2556
|
291 |
},
|
292 |
{
|
293 |
-
"epoch":
|
294 |
-
"eval_loss": 0.
|
295 |
-
"eval_macro_f1": 0.
|
296 |
-
"eval_macro_precision": 0.
|
297 |
-
"eval_macro_recall": 0.
|
298 |
-
"eval_micro_f1": 0.
|
299 |
-
"eval_micro_precision": 0.
|
300 |
-
"eval_micro_recall": 0.
|
301 |
-
"eval_runtime":
|
302 |
-
"eval_samples_per_second":
|
303 |
-
"eval_steps_per_second":
|
304 |
"step": 2698
|
305 |
},
|
306 |
{
|
307 |
-
"epoch":
|
308 |
-
"eval_loss": 0.
|
309 |
-
"eval_macro_f1": 0.
|
310 |
-
"eval_macro_precision": 0.
|
311 |
-
"eval_macro_recall": 0.
|
312 |
-
"eval_micro_f1": 0.
|
313 |
-
"eval_micro_precision": 0.
|
314 |
-
"eval_micro_recall": 0.
|
315 |
-
"eval_runtime":
|
316 |
-
"eval_samples_per_second":
|
317 |
-
"eval_steps_per_second":
|
318 |
"step": 2840
|
319 |
},
|
320 |
{
|
321 |
-
"epoch":
|
322 |
-
"eval_loss": 0.
|
323 |
-
"eval_macro_f1": 0.
|
324 |
-
"eval_macro_precision": 0.
|
325 |
-
"eval_macro_recall": 0.
|
326 |
-
"eval_micro_f1": 0.
|
327 |
-
"eval_micro_precision": 0.
|
328 |
-
"eval_micro_recall": 0.
|
329 |
-
"eval_runtime":
|
330 |
-
"eval_samples_per_second":
|
331 |
-
"eval_steps_per_second":
|
332 |
"step": 2982
|
333 |
},
|
334 |
{
|
335 |
-
"epoch":
|
336 |
-
"learning_rate":
|
337 |
-
"loss": 0.
|
338 |
"step": 3000
|
339 |
},
|
340 |
{
|
341 |
-
"epoch":
|
342 |
-
"eval_loss": 0.
|
343 |
-
"eval_macro_f1": 0.
|
344 |
-
"eval_macro_precision": 0.
|
345 |
-
"eval_macro_recall": 0.
|
346 |
-
"eval_micro_f1": 0.
|
347 |
-
"eval_micro_precision": 0.
|
348 |
-
"eval_micro_recall": 0.
|
349 |
-
"eval_runtime":
|
350 |
-
"eval_samples_per_second":
|
351 |
-
"eval_steps_per_second":
|
352 |
"step": 3124
|
353 |
},
|
354 |
{
|
355 |
-
"epoch":
|
356 |
-
"eval_loss": 0.
|
357 |
-
"eval_macro_f1": 0.
|
358 |
-
"eval_macro_precision": 0.
|
359 |
-
"eval_macro_recall": 0.
|
360 |
-
"eval_micro_f1": 0.
|
361 |
-
"eval_micro_precision": 0.
|
362 |
-
"eval_micro_recall": 0.
|
363 |
-
"eval_runtime":
|
364 |
-
"eval_samples_per_second":
|
365 |
-
"eval_steps_per_second":
|
366 |
"step": 3266
|
367 |
},
|
368 |
{
|
369 |
-
"epoch":
|
370 |
-
"eval_loss": 0.
|
371 |
-
"eval_macro_f1": 0.
|
372 |
-
"eval_macro_precision": 0.
|
373 |
-
"eval_macro_recall": 0.
|
374 |
-
"eval_micro_f1": 0.
|
375 |
-
"eval_micro_precision": 0.
|
376 |
-
"eval_micro_recall": 0.
|
377 |
-
"eval_runtime":
|
378 |
-
"eval_samples_per_second":
|
379 |
-
"eval_steps_per_second":
|
380 |
"step": 3408
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
381 |
}
|
382 |
],
|
383 |
-
"max_steps":
|
384 |
"num_train_epochs": 100,
|
385 |
-
"total_flos":
|
386 |
"trial_name": null,
|
387 |
"trial_params": {
|
388 |
-
"adam_epsilon":
|
389 |
-
"learning_rate":
|
390 |
"per_device_eval_batch_size": 32,
|
391 |
-
"per_device_train_batch_size":
|
392 |
-
"seed":
|
393 |
-
"warmup_steps":
|
394 |
-
"weight_decay":
|
395 |
}
|
396 |
}
|
|
|
1 |
{
|
2 |
+
"best_metric": 0.7364675967036229,
|
3 |
+
"best_model_checkpoint": "./CARES/checkpoints/bio-ber-stratified/run-3/checkpoint-4402",
|
4 |
+
"epoch": 62.0,
|
5 |
+
"global_step": 4402,
|
6 |
"is_hyper_param_search": true,
|
7 |
"is_local_process_zero": true,
|
8 |
"is_world_process_zero": true,
|
9 |
"log_history": [
|
10 |
{
|
11 |
+
"epoch": 2.0,
|
12 |
+
"eval_loss": 0.3057152032852173,
|
13 |
+
"eval_macro_f1": 0.0,
|
14 |
+
"eval_macro_precision": 0.0,
|
15 |
+
"eval_macro_recall": 0.0,
|
16 |
+
"eval_micro_f1": 0.0,
|
17 |
+
"eval_micro_precision": 0.0,
|
18 |
+
"eval_micro_recall": 0.0,
|
19 |
+
"eval_runtime": 2.8103,
|
20 |
+
"eval_samples_per_second": 343.733,
|
21 |
+
"eval_steps_per_second": 11.031,
|
22 |
"step": 142
|
23 |
},
|
24 |
{
|
25 |
+
"epoch": 4.0,
|
26 |
+
"eval_loss": 0.2555946707725525,
|
27 |
+
"eval_macro_f1": 0.030103995621237,
|
28 |
+
"eval_macro_precision": 0.11450892857142857,
|
29 |
+
"eval_macro_recall": 0.018604569384720493,
|
30 |
+
"eval_micro_f1": 0.06492679821769573,
|
31 |
+
"eval_micro_precision": 0.9444444444444444,
|
32 |
+
"eval_micro_recall": 0.03361898483849703,
|
33 |
+
"eval_runtime": 2.814,
|
34 |
+
"eval_samples_per_second": 343.287,
|
35 |
+
"eval_steps_per_second": 11.016,
|
36 |
"step": 284
|
37 |
},
|
38 |
{
|
39 |
+
"epoch": 6.0,
|
40 |
+
"eval_loss": 0.20202794671058655,
|
41 |
+
"eval_macro_f1": 0.20731282317116273,
|
42 |
+
"eval_macro_precision": 0.31073371688318574,
|
43 |
+
"eval_macro_recall": 0.17971428447401858,
|
44 |
+
"eval_micro_f1": 0.5260370697263901,
|
45 |
+
"eval_micro_precision": 0.7957276368491322,
|
46 |
+
"eval_micro_recall": 0.3928806855636124,
|
47 |
+
"eval_runtime": 2.8153,
|
48 |
+
"eval_samples_per_second": 343.125,
|
49 |
+
"eval_steps_per_second": 11.011,
|
50 |
"step": 426
|
51 |
},
|
52 |
{
|
53 |
+
"epoch": 7.04,
|
54 |
+
"learning_rate": 3.3448027530200134e-05,
|
55 |
+
"loss": 0.3166,
|
56 |
"step": 500
|
57 |
},
|
58 |
{
|
59 |
+
"epoch": 8.0,
|
60 |
+
"eval_loss": 0.16987857222557068,
|
61 |
+
"eval_macro_f1": 0.33747696352729556,
|
62 |
+
"eval_macro_precision": 0.5216496556534496,
|
63 |
+
"eval_macro_recall": 0.3003629712640149,
|
64 |
+
"eval_micro_f1": 0.6596736596736597,
|
65 |
+
"eval_micro_precision": 0.8032166508987701,
|
66 |
+
"eval_micro_recall": 0.5596572181938035,
|
67 |
+
"eval_runtime": 2.8142,
|
68 |
+
"eval_samples_per_second": 343.259,
|
69 |
+
"eval_steps_per_second": 11.016,
|
70 |
"step": 568
|
71 |
},
|
72 |
{
|
73 |
+
"epoch": 10.0,
|
74 |
+
"eval_loss": 0.15612231194972992,
|
75 |
+
"eval_macro_f1": 0.3962525677685097,
|
76 |
+
"eval_macro_precision": 0.5709879791429361,
|
77 |
+
"eval_macro_recall": 0.34789915051543907,
|
78 |
+
"eval_micro_f1": 0.6866002214839424,
|
79 |
+
"eval_micro_precision": 0.7802013422818792,
|
80 |
+
"eval_micro_recall": 0.6130520764667106,
|
81 |
+
"eval_runtime": 2.8176,
|
82 |
+
"eval_samples_per_second": 342.846,
|
83 |
+
"eval_steps_per_second": 11.002,
|
84 |
"step": 710
|
85 |
},
|
86 |
{
|
87 |
+
"epoch": 12.0,
|
88 |
+
"eval_loss": 0.15700845420360565,
|
89 |
+
"eval_macro_f1": 0.5033118074728004,
|
90 |
+
"eval_macro_precision": 0.6788170359469108,
|
91 |
+
"eval_macro_recall": 0.4359827145940205,
|
92 |
+
"eval_micro_f1": 0.7075812274368232,
|
93 |
+
"eval_micro_precision": 0.7821229050279329,
|
94 |
+
"eval_micro_recall": 0.6460118655240606,
|
95 |
+
"eval_runtime": 2.9435,
|
96 |
+
"eval_samples_per_second": 328.182,
|
97 |
+
"eval_steps_per_second": 10.532,
|
98 |
"step": 852
|
99 |
},
|
100 |
{
|
101 |
+
"epoch": 14.0,
|
102 |
+
"eval_loss": 0.14791876077651978,
|
103 |
+
"eval_macro_f1": 0.5201462693304842,
|
104 |
+
"eval_macro_precision": 0.6808348875622964,
|
105 |
+
"eval_macro_recall": 0.45464762510361434,
|
106 |
+
"eval_micro_f1": 0.7195077813970322,
|
107 |
+
"eval_micro_precision": 0.797752808988764,
|
108 |
+
"eval_micro_recall": 0.6552406064601186,
|
109 |
+
"eval_runtime": 2.814,
|
110 |
+
"eval_samples_per_second": 343.289,
|
111 |
+
"eval_steps_per_second": 11.017,
|
112 |
"step": 994
|
113 |
},
|
114 |
{
|
115 |
+
"epoch": 14.08,
|
116 |
+
"learning_rate": 3.091408605063951e-05,
|
117 |
+
"loss": 0.1146,
|
118 |
"step": 1000
|
119 |
},
|
120 |
{
|
121 |
+
"epoch": 16.0,
|
122 |
+
"eval_loss": 0.15235331654548645,
|
123 |
+
"eval_macro_f1": 0.560037439235141,
|
124 |
+
"eval_macro_precision": 0.6537080668718289,
|
125 |
+
"eval_macro_recall": 0.5093665280810307,
|
126 |
+
"eval_micro_f1": 0.7277091906721537,
|
127 |
+
"eval_micro_precision": 0.7583988563259471,
|
128 |
+
"eval_micro_recall": 0.6994067237969677,
|
129 |
+
"eval_runtime": 2.8165,
|
130 |
+
"eval_samples_per_second": 342.975,
|
131 |
+
"eval_steps_per_second": 11.006,
|
132 |
"step": 1136
|
133 |
},
|
134 |
{
|
135 |
+
"epoch": 18.0,
|
136 |
+
"eval_loss": 0.1468934863805771,
|
137 |
+
"eval_macro_f1": 0.5752898959236763,
|
138 |
+
"eval_macro_precision": 0.6785878888299093,
|
139 |
+
"eval_macro_recall": 0.5191620319354175,
|
140 |
+
"eval_micro_f1": 0.7432950191570881,
|
141 |
+
"eval_micro_precision": 0.7880354505169868,
|
142 |
+
"eval_micro_recall": 0.7033618984838497,
|
143 |
+
"eval_runtime": 2.8153,
|
144 |
+
"eval_samples_per_second": 343.13,
|
145 |
+
"eval_steps_per_second": 11.011,
|
146 |
"step": 1278
|
147 |
},
|
148 |
{
|
149 |
+
"epoch": 20.0,
|
150 |
+
"eval_loss": 0.15318024158477783,
|
151 |
+
"eval_macro_f1": 0.5614807929032789,
|
152 |
+
"eval_macro_precision": 0.6891794820810673,
|
153 |
+
"eval_macro_recall": 0.5011545072485702,
|
154 |
+
"eval_micro_f1": 0.7351351351351351,
|
155 |
+
"eval_micro_precision": 0.8108108108108109,
|
156 |
+
"eval_micro_recall": 0.6723796967699407,
|
157 |
+
"eval_runtime": 2.8153,
|
158 |
+
"eval_samples_per_second": 343.128,
|
159 |
+
"eval_steps_per_second": 11.011,
|
160 |
"step": 1420
|
161 |
},
|
162 |
{
|
163 |
+
"epoch": 21.13,
|
164 |
+
"learning_rate": 2.83801445710789e-05,
|
165 |
+
"loss": 0.0497,
|
166 |
"step": 1500
|
167 |
},
|
168 |
{
|
169 |
+
"epoch": 22.0,
|
170 |
+
"eval_loss": 0.15478584170341492,
|
171 |
+
"eval_macro_f1": 0.5700524565361512,
|
172 |
+
"eval_macro_precision": 0.6592231713192768,
|
173 |
+
"eval_macro_recall": 0.5224052472361357,
|
174 |
+
"eval_micro_f1": 0.7377900935226879,
|
175 |
+
"eval_micro_precision": 0.7773722627737226,
|
176 |
+
"eval_micro_recall": 0.7020435069215557,
|
177 |
+
"eval_runtime": 2.8156,
|
178 |
+
"eval_samples_per_second": 343.089,
|
179 |
+
"eval_steps_per_second": 11.01,
|
180 |
"step": 1562
|
181 |
},
|
182 |
{
|
183 |
+
"epoch": 24.0,
|
184 |
+
"eval_loss": 0.16469129920005798,
|
185 |
+
"eval_macro_f1": 0.5893809890315513,
|
186 |
+
"eval_macro_precision": 0.7250493831689879,
|
187 |
+
"eval_macro_recall": 0.5372381591153548,
|
188 |
+
"eval_micro_f1": 0.7337398373983739,
|
189 |
+
"eval_micro_precision": 0.7547038327526132,
|
190 |
+
"eval_micro_recall": 0.7139090309822017,
|
191 |
+
"eval_runtime": 2.8148,
|
192 |
+
"eval_samples_per_second": 343.185,
|
193 |
+
"eval_steps_per_second": 11.013,
|
194 |
"step": 1704
|
195 |
},
|
196 |
{
|
197 |
+
"epoch": 26.0,
|
198 |
+
"eval_loss": 0.1553143858909607,
|
199 |
+
"eval_macro_f1": 0.5787478878813199,
|
200 |
+
"eval_macro_precision": 0.6623158627962805,
|
201 |
+
"eval_macro_recall": 0.5281203519575204,
|
202 |
+
"eval_micro_f1": 0.7432293452176895,
|
203 |
+
"eval_micro_precision": 0.7742857142857142,
|
204 |
+
"eval_micro_recall": 0.7145682267633487,
|
205 |
+
"eval_runtime": 2.8124,
|
206 |
+
"eval_samples_per_second": 343.477,
|
207 |
+
"eval_steps_per_second": 11.023,
|
208 |
"step": 1846
|
209 |
},
|
210 |
{
|
211 |
+
"epoch": 28.0,
|
212 |
+
"eval_loss": 0.1586785614490509,
|
213 |
+
"eval_macro_f1": 0.5883554607456316,
|
214 |
+
"eval_macro_precision": 0.7177006367498535,
|
215 |
+
"eval_macro_recall": 0.5324948845496986,
|
216 |
+
"eval_micro_f1": 0.7415575465196417,
|
217 |
+
"eval_micro_precision": 0.7768953068592058,
|
218 |
+
"eval_micro_recall": 0.7092946605141727,
|
219 |
+
"eval_runtime": 2.8164,
|
220 |
+
"eval_samples_per_second": 342.99,
|
221 |
+
"eval_steps_per_second": 11.007,
|
222 |
"step": 1988
|
223 |
},
|
224 |
{
|
225 |
+
"epoch": 28.17,
|
226 |
+
"learning_rate": 2.5846203091518283e-05,
|
227 |
+
"loss": 0.0242,
|
228 |
"step": 2000
|
229 |
},
|
230 |
{
|
231 |
+
"epoch": 30.0,
|
232 |
+
"eval_loss": 0.16228000819683075,
|
233 |
+
"eval_macro_f1": 0.6422229361530924,
|
234 |
+
"eval_macro_precision": 0.790092149978405,
|
235 |
+
"eval_macro_recall": 0.5761555188160953,
|
236 |
+
"eval_micro_f1": 0.75272599366866,
|
237 |
+
"eval_micro_precision": 0.8069381598793364,
|
238 |
+
"eval_micro_recall": 0.7053394858272907,
|
239 |
+
"eval_runtime": 2.8172,
|
240 |
+
"eval_samples_per_second": 342.897,
|
241 |
+
"eval_steps_per_second": 11.004,
|
242 |
"step": 2130
|
243 |
},
|
244 |
{
|
245 |
+
"epoch": 32.0,
|
246 |
+
"eval_loss": 0.15960222482681274,
|
247 |
+
"eval_macro_f1": 0.6566298525236257,
|
248 |
+
"eval_macro_precision": 0.74358025279367,
|
249 |
+
"eval_macro_recall": 0.6057522843683747,
|
250 |
+
"eval_micro_f1": 0.7514529914529915,
|
251 |
+
"eval_micro_precision": 0.7805397727272727,
|
252 |
+
"eval_micro_recall": 0.7244561634805537,
|
253 |
+
"eval_runtime": 2.8157,
|
254 |
+
"eval_samples_per_second": 343.071,
|
255 |
+
"eval_steps_per_second": 11.01,
|
256 |
"step": 2272
|
257 |
},
|
258 |
{
|
259 |
+
"epoch": 34.0,
|
260 |
+
"eval_loss": 0.1677185595035553,
|
261 |
+
"eval_macro_f1": 0.6556730308579793,
|
262 |
+
"eval_macro_precision": 0.7959295044168222,
|
263 |
+
"eval_macro_recall": 0.5949893771939523,
|
264 |
+
"eval_micro_f1": 0.7518796992481203,
|
265 |
+
"eval_micro_precision": 0.7806955287437899,
|
266 |
+
"eval_micro_recall": 0.7251153592617007,
|
267 |
+
"eval_runtime": 2.8129,
|
268 |
+
"eval_samples_per_second": 343.412,
|
269 |
+
"eval_steps_per_second": 11.02,
|
270 |
"step": 2414
|
271 |
},
|
272 |
{
|
273 |
+
"epoch": 35.21,
|
274 |
+
"learning_rate": 2.331226161195767e-05,
|
275 |
+
"loss": 0.0135,
|
276 |
"step": 2500
|
277 |
},
|
278 |
{
|
279 |
+
"epoch": 36.0,
|
280 |
+
"eval_loss": 0.16759739816188812,
|
281 |
+
"eval_macro_f1": 0.6573674747389432,
|
282 |
+
"eval_macro_precision": 0.771138294992533,
|
283 |
+
"eval_macro_recall": 0.595599674775744,
|
284 |
+
"eval_micro_f1": 0.7523187907935418,
|
285 |
+
"eval_micro_precision": 0.7855093256814921,
|
286 |
+
"eval_micro_recall": 0.7218193803559657,
|
287 |
+
"eval_runtime": 2.8149,
|
288 |
+
"eval_samples_per_second": 343.173,
|
289 |
+
"eval_steps_per_second": 11.013,
|
290 |
"step": 2556
|
291 |
},
|
292 |
{
|
293 |
+
"epoch": 38.0,
|
294 |
+
"eval_loss": 0.1679902970790863,
|
295 |
+
"eval_macro_f1": 0.6639964013713953,
|
296 |
+
"eval_macro_precision": 0.758530396471428,
|
297 |
+
"eval_macro_recall": 0.6080264740396573,
|
298 |
+
"eval_micro_f1": 0.7524888431170615,
|
299 |
+
"eval_micro_precision": 0.7851002865329513,
|
300 |
+
"eval_micro_recall": 0.7224785761371127,
|
301 |
+
"eval_runtime": 2.8145,
|
302 |
+
"eval_samples_per_second": 343.228,
|
303 |
+
"eval_steps_per_second": 11.015,
|
304 |
"step": 2698
|
305 |
},
|
306 |
{
|
307 |
+
"epoch": 40.0,
|
308 |
+
"eval_loss": 0.17791299521923065,
|
309 |
+
"eval_macro_f1": 0.706771883149178,
|
310 |
+
"eval_macro_precision": 0.8182896833237783,
|
311 |
+
"eval_macro_recall": 0.6422691238382328,
|
312 |
+
"eval_micro_f1": 0.7502562350529552,
|
313 |
+
"eval_micro_precision": 0.7787234042553192,
|
314 |
+
"eval_micro_recall": 0.7237969676994067,
|
315 |
+
"eval_runtime": 2.8149,
|
316 |
+
"eval_samples_per_second": 343.168,
|
317 |
+
"eval_steps_per_second": 11.013,
|
318 |
"step": 2840
|
319 |
},
|
320 |
{
|
321 |
+
"epoch": 42.0,
|
322 |
+
"eval_loss": 0.17416273057460785,
|
323 |
+
"eval_macro_f1": 0.7042921705265328,
|
324 |
+
"eval_macro_precision": 0.8549297777881784,
|
325 |
+
"eval_macro_recall": 0.6327733363764919,
|
326 |
+
"eval_micro_f1": 0.7576791808873721,
|
327 |
+
"eval_micro_precision": 0.7855626326963907,
|
328 |
+
"eval_micro_recall": 0.7317073170731707,
|
329 |
+
"eval_runtime": 2.8128,
|
330 |
+
"eval_samples_per_second": 343.433,
|
331 |
+
"eval_steps_per_second": 11.021,
|
332 |
"step": 2982
|
333 |
},
|
334 |
{
|
335 |
+
"epoch": 42.25,
|
336 |
+
"learning_rate": 2.077832013239705e-05,
|
337 |
+
"loss": 0.0089,
|
338 |
"step": 3000
|
339 |
},
|
340 |
{
|
341 |
+
"epoch": 44.0,
|
342 |
+
"eval_loss": 0.17721112072467804,
|
343 |
+
"eval_macro_f1": 0.7133417842190977,
|
344 |
+
"eval_macro_precision": 0.8405823975317646,
|
345 |
+
"eval_macro_recall": 0.6551419828069049,
|
346 |
+
"eval_micro_f1": 0.7551782682512733,
|
347 |
+
"eval_micro_precision": 0.7787114845938375,
|
348 |
+
"eval_micro_recall": 0.7330257086354647,
|
349 |
+
"eval_runtime": 2.8136,
|
350 |
+
"eval_samples_per_second": 343.328,
|
351 |
+
"eval_steps_per_second": 11.018,
|
352 |
"step": 3124
|
353 |
},
|
354 |
{
|
355 |
+
"epoch": 46.0,
|
356 |
+
"eval_loss": 0.17867934703826904,
|
357 |
+
"eval_macro_f1": 0.7067733545432416,
|
358 |
+
"eval_macro_precision": 0.8456299689876698,
|
359 |
+
"eval_macro_recall": 0.6424972968645987,
|
360 |
+
"eval_micro_f1": 0.7581743869209809,
|
361 |
+
"eval_micro_precision": 0.7843551797040169,
|
362 |
+
"eval_micro_recall": 0.7336849044166117,
|
363 |
+
"eval_runtime": 2.8132,
|
364 |
+
"eval_samples_per_second": 343.385,
|
365 |
+
"eval_steps_per_second": 11.02,
|
366 |
"step": 3266
|
367 |
},
|
368 |
{
|
369 |
+
"epoch": 48.0,
|
370 |
+
"eval_loss": 0.18271668255329132,
|
371 |
+
"eval_macro_f1": 0.7082847532013592,
|
372 |
+
"eval_macro_precision": 0.8433782766054858,
|
373 |
+
"eval_macro_recall": 0.641905005936743,
|
374 |
+
"eval_micro_f1": 0.7553444180522565,
|
375 |
+
"eval_micro_precision": 0.7783216783216783,
|
376 |
+
"eval_micro_recall": 0.7336849044166117,
|
377 |
+
"eval_runtime": 2.8144,
|
378 |
+
"eval_samples_per_second": 343.24,
|
379 |
+
"eval_steps_per_second": 11.015,
|
380 |
"step": 3408
|
381 |
+
},
|
382 |
+
{
|
383 |
+
"epoch": 49.3,
|
384 |
+
"learning_rate": 1.8244378652836435e-05,
|
385 |
+
"loss": 0.0062,
|
386 |
+
"step": 3500
|
387 |
+
},
|
388 |
+
{
|
389 |
+
"epoch": 50.0,
|
390 |
+
"eval_loss": 0.18576982617378235,
|
391 |
+
"eval_macro_f1": 0.7214487691145703,
|
392 |
+
"eval_macro_precision": 0.8418509428350153,
|
393 |
+
"eval_macro_recall": 0.6584015327988482,
|
394 |
+
"eval_micro_f1": 0.7551299589603283,
|
395 |
+
"eval_micro_precision": 0.7846481876332623,
|
396 |
+
"eval_micro_recall": 0.7277521423862887,
|
397 |
+
"eval_runtime": 2.8151,
|
398 |
+
"eval_samples_per_second": 343.147,
|
399 |
+
"eval_steps_per_second": 11.012,
|
400 |
+
"step": 3550
|
401 |
+
},
|
402 |
+
{
|
403 |
+
"epoch": 52.0,
|
404 |
+
"eval_loss": 0.18477760255336761,
|
405 |
+
"eval_macro_f1": 0.7358242812719007,
|
406 |
+
"eval_macro_precision": 0.8363784298641037,
|
407 |
+
"eval_macro_recall": 0.682320650811777,
|
408 |
+
"eval_micro_f1": 0.7623529411764705,
|
409 |
+
"eval_micro_precision": 0.7777777777777778,
|
410 |
+
"eval_micro_recall": 0.7475280158206987,
|
411 |
+
"eval_runtime": 2.8152,
|
412 |
+
"eval_samples_per_second": 343.143,
|
413 |
+
"eval_steps_per_second": 11.012,
|
414 |
+
"step": 3692
|
415 |
+
},
|
416 |
+
{
|
417 |
+
"epoch": 54.0,
|
418 |
+
"eval_loss": 0.18875756859779358,
|
419 |
+
"eval_macro_f1": 0.7155614476825691,
|
420 |
+
"eval_macro_precision": 0.8418373811449409,
|
421 |
+
"eval_macro_recall": 0.6438779359984136,
|
422 |
+
"eval_micro_f1": 0.7593035165585524,
|
423 |
+
"eval_micro_precision": 0.7875354107648725,
|
424 |
+
"eval_micro_recall": 0.7330257086354647,
|
425 |
+
"eval_runtime": 2.8151,
|
426 |
+
"eval_samples_per_second": 343.149,
|
427 |
+
"eval_steps_per_second": 11.012,
|
428 |
+
"step": 3834
|
429 |
+
},
|
430 |
+
{
|
431 |
+
"epoch": 56.0,
|
432 |
+
"eval_loss": 0.18950717151165009,
|
433 |
+
"eval_macro_f1": 0.7224219338762576,
|
434 |
+
"eval_macro_precision": 0.8143469166127995,
|
435 |
+
"eval_macro_recall": 0.6672755163012613,
|
436 |
+
"eval_micro_f1": 0.7565011820330969,
|
437 |
+
"eval_micro_precision": 0.775623268698061,
|
438 |
+
"eval_micro_recall": 0.7382992748846408,
|
439 |
+
"eval_runtime": 2.8155,
|
440 |
+
"eval_samples_per_second": 343.104,
|
441 |
+
"eval_steps_per_second": 11.011,
|
442 |
+
"step": 3976
|
443 |
+
},
|
444 |
+
{
|
445 |
+
"epoch": 56.34,
|
446 |
+
"learning_rate": 1.5710437173275818e-05,
|
447 |
+
"loss": 0.0047,
|
448 |
+
"step": 4000
|
449 |
+
},
|
450 |
+
{
|
451 |
+
"epoch": 58.0,
|
452 |
+
"eval_loss": 0.19801756739616394,
|
453 |
+
"eval_macro_f1": 0.7241508401060731,
|
454 |
+
"eval_macro_precision": 0.8273979735617242,
|
455 |
+
"eval_macro_recall": 0.6621892130462943,
|
456 |
+
"eval_micro_f1": 0.7576676777890125,
|
457 |
+
"eval_micro_precision": 0.7751724137931034,
|
458 |
+
"eval_micro_recall": 0.7409360580092288,
|
459 |
+
"eval_runtime": 2.8137,
|
460 |
+
"eval_samples_per_second": 343.316,
|
461 |
+
"eval_steps_per_second": 11.017,
|
462 |
+
"step": 4118
|
463 |
+
},
|
464 |
+
{
|
465 |
+
"epoch": 60.0,
|
466 |
+
"eval_loss": 0.194396510720253,
|
467 |
+
"eval_macro_f1": 0.7287972344248086,
|
468 |
+
"eval_macro_precision": 0.8203998323639319,
|
469 |
+
"eval_macro_recall": 0.6775029786499779,
|
470 |
+
"eval_micro_f1": 0.7583222370173102,
|
471 |
+
"eval_micro_precision": 0.7659717552118359,
|
472 |
+
"eval_micro_recall": 0.7508239947264338,
|
473 |
+
"eval_runtime": 2.8142,
|
474 |
+
"eval_samples_per_second": 343.264,
|
475 |
+
"eval_steps_per_second": 11.016,
|
476 |
+
"step": 4260
|
477 |
+
},
|
478 |
+
{
|
479 |
+
"epoch": 62.0,
|
480 |
+
"eval_loss": 0.19370318949222565,
|
481 |
+
"eval_macro_f1": 0.7364675967036229,
|
482 |
+
"eval_macro_precision": 0.8295903604136947,
|
483 |
+
"eval_macro_recall": 0.6817263379239634,
|
484 |
+
"eval_micro_f1": 0.7599051811716898,
|
485 |
+
"eval_micro_precision": 0.7813370473537604,
|
486 |
+
"eval_micro_recall": 0.7396176664469347,
|
487 |
+
"eval_runtime": 2.8163,
|
488 |
+
"eval_samples_per_second": 343.005,
|
489 |
+
"eval_steps_per_second": 11.007,
|
490 |
+
"step": 4402
|
491 |
}
|
492 |
],
|
493 |
+
"max_steps": 7100,
|
494 |
"num_train_epochs": 100,
|
495 |
+
"total_flos": 3.3093548336434176e+16,
|
496 |
"trial_name": null,
|
497 |
"trial_params": {
|
498 |
+
"adam_epsilon": 3.039596615397574e-08,
|
499 |
+
"learning_rate": 3.349363847683222e-05,
|
500 |
"per_device_eval_batch_size": 32,
|
501 |
+
"per_device_train_batch_size": 32,
|
502 |
+
"seed": 326,
|
503 |
+
"warmup_steps": 491,
|
504 |
+
"weight_decay": 0.01214452830676255
|
505 |
}
|
506 |
}
|
training_args.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 3439
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:89e8d0d99ac817af410528cfbc62521472f947089cd55e91f497ac31b9c15ffc
|
3 |
size 3439
|