Commit
•
6d12a1b
1
Parent(s):
16da2dd
Training in progress, step 200
Browse files- all_results.json +14 -14
- eval_results.json +5 -5
- pytorch_model.bin +1 -1
- runs/Feb04_09-56-16_node1/events.out.tfevents.1643940000.node1 +2 -2
- runs/Feb04_09-56-16_node1/events.out.tfevents.1643941260.node1 +3 -0
- runs/Feb04_10-46-17_node1/1643942904.4796145/events.out.tfevents.1643942904.node1 +3 -0
- runs/Feb04_10-46-17_node1/events.out.tfevents.1643942904.node1 +3 -0
- test_results.json +5 -5
- tokenizer.json +0 -0
- train_results.json +4 -4
- trainer_state.json +175 -175
- training_args.bin +1 -1
- training_config.json +1 -1
all_results.json
CHANGED
@@ -1,18 +1,18 @@
|
|
1 |
{
|
2 |
"epoch": 3.0,
|
3 |
-
"eval_accuracy":
|
4 |
-
"eval_average_metrics":
|
5 |
-
"eval_loss": 0.
|
6 |
-
"eval_runtime":
|
7 |
-
"eval_samples_per_second":
|
8 |
-
"test_accuracy":
|
9 |
-
"test_average_metrics":
|
10 |
-
"test_loss": 0.
|
11 |
-
"test_runtime":
|
12 |
-
"test_samples_per_second":
|
13 |
-
"train_loss": 0.
|
14 |
-
"train_runtime":
|
15 |
"train_samples": 66349,
|
16 |
-
"train_samples_per_second":
|
17 |
-
"train_steps_per_second":
|
18 |
}
|
|
|
1 |
{
|
2 |
"epoch": 3.0,
|
3 |
+
"eval_accuracy": 60.099999999999994,
|
4 |
+
"eval_average_metrics": 60.099999999999994,
|
5 |
+
"eval_loss": 0.2783910036087036,
|
6 |
+
"eval_runtime": 3.2954,
|
7 |
+
"eval_samples_per_second": 303.458,
|
8 |
+
"test_accuracy": 58.142201834862384,
|
9 |
+
"test_average_metrics": 58.142201834862384,
|
10 |
+
"test_loss": 0.2752912938594818,
|
11 |
+
"test_runtime": 3.1391,
|
12 |
+
"test_samples_per_second": 277.783,
|
13 |
+
"train_loss": 0.5804944922785328,
|
14 |
+
"train_runtime": 1254.7674,
|
15 |
"train_samples": 66349,
|
16 |
+
"train_samples_per_second": 158.633,
|
17 |
+
"train_steps_per_second": 4.959
|
18 |
}
|
eval_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
"epoch": 3.0,
|
3 |
-
"eval_accuracy":
|
4 |
-
"eval_average_metrics":
|
5 |
-
"eval_loss": 0.
|
6 |
-
"eval_runtime":
|
7 |
-
"eval_samples_per_second":
|
8 |
}
|
|
|
1 |
{
|
2 |
"epoch": 3.0,
|
3 |
+
"eval_accuracy": 60.099999999999994,
|
4 |
+
"eval_average_metrics": 60.099999999999994,
|
5 |
+
"eval_loss": 0.2783910036087036,
|
6 |
+
"eval_runtime": 3.2954,
|
7 |
+
"eval_samples_per_second": 303.458
|
8 |
}
|
pytorch_model.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 335851
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:ca578edc26c679322afc4e794b748861809ce462f741454b4a5d1327e399320f
|
3 |
size 335851
|
runs/Feb04_09-56-16_node1/events.out.tfevents.1643940000.node1
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 sha256:19b60bae55358e79ee8cc62539e971324e17914693622f66af818a2d245fce4b
|
3 |
+
size 16534
|
runs/Feb04_09-56-16_node1/events.out.tfevents.1643941260.node1
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:3fbc496fbb0b017946d09a318fa8b81191c585c2053d8ff1f9d5474c4e9c1776
|
3 |
+
size 684
|
runs/Feb04_10-46-17_node1/1643942904.4796145/events.out.tfevents.1643942904.node1
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:e663a68a3ea6d4ba8bf840e42067622d741437998789d2407af56650d036e12f
|
3 |
+
size 5026
|
runs/Feb04_10-46-17_node1/events.out.tfevents.1643942904.node1
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:1f95558cca914d35629334a365c56bd84a73822d96a0efeb17cb5e14af2e46bb
|
3 |
+
size 4312
|
test_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
"epoch": 3.0,
|
3 |
-
"test_accuracy":
|
4 |
-
"test_average_metrics":
|
5 |
-
"test_loss": 0.
|
6 |
-
"test_runtime":
|
7 |
-
"test_samples_per_second":
|
8 |
}
|
|
|
1 |
{
|
2 |
"epoch": 3.0,
|
3 |
+
"test_accuracy": 58.142201834862384,
|
4 |
+
"test_average_metrics": 58.142201834862384,
|
5 |
+
"test_loss": 0.2752912938594818,
|
6 |
+
"test_runtime": 3.1391,
|
7 |
+
"test_samples_per_second": 277.783
|
8 |
}
|
tokenizer.json
CHANGED
The diff for this file is too large to render.
See raw diff
|
|
train_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
"epoch": 3.0,
|
3 |
-
"train_loss": 0.
|
4 |
-
"train_runtime":
|
5 |
"train_samples": 66349,
|
6 |
-
"train_samples_per_second":
|
7 |
-
"train_steps_per_second":
|
8 |
}
|
|
|
1 |
{
|
2 |
"epoch": 3.0,
|
3 |
+
"train_loss": 0.5804944922785328,
|
4 |
+
"train_runtime": 1254.7674,
|
5 |
"train_samples": 66349,
|
6 |
+
"train_samples_per_second": 158.633,
|
7 |
+
"train_steps_per_second": 4.959
|
8 |
}
|
trainer_state.json
CHANGED
@@ -1,6 +1,6 @@
|
|
1 |
{
|
2 |
-
"best_metric":
|
3 |
-
"best_model_checkpoint": "outputs/
|
4 |
"epoch": 3.0,
|
5 |
"global_step": 6222,
|
6 |
"is_hyper_param_search": false,
|
@@ -9,368 +9,368 @@
|
|
9 |
"log_history": [
|
10 |
{
|
11 |
"epoch": 0.1,
|
12 |
-
"eval_accuracy":
|
13 |
-
"eval_average_metrics":
|
14 |
-
"eval_loss":
|
15 |
-
"eval_runtime":
|
16 |
-
"eval_samples_per_second":
|
17 |
"step": 200
|
18 |
},
|
19 |
{
|
20 |
"epoch": 0.19,
|
21 |
-
"eval_accuracy":
|
22 |
-
"eval_average_metrics":
|
23 |
-
"eval_loss": 0.
|
24 |
-
"eval_runtime":
|
25 |
-
"eval_samples_per_second":
|
26 |
"step": 400
|
27 |
},
|
28 |
{
|
29 |
"epoch": 0.24,
|
30 |
"learning_rate": 0.00027589199614271937,
|
31 |
-
"loss":
|
32 |
"step": 500
|
33 |
},
|
34 |
{
|
35 |
"epoch": 0.29,
|
36 |
-
"eval_accuracy":
|
37 |
-
"eval_average_metrics":
|
38 |
-
"eval_loss": 0.
|
39 |
-
"eval_runtime":
|
40 |
-
"eval_samples_per_second":
|
41 |
"step": 600
|
42 |
},
|
43 |
{
|
44 |
"epoch": 0.39,
|
45 |
-
"eval_accuracy":
|
46 |
-
"eval_average_metrics":
|
47 |
-
"eval_loss": 0.
|
48 |
-
"eval_runtime":
|
49 |
-
"eval_samples_per_second":
|
50 |
"step": 800
|
51 |
},
|
52 |
{
|
53 |
"epoch": 0.48,
|
54 |
"learning_rate": 0.0002517839922854387,
|
55 |
-
"loss": 0.
|
56 |
"step": 1000
|
57 |
},
|
58 |
{
|
59 |
"epoch": 0.48,
|
60 |
-
"eval_accuracy":
|
61 |
-
"eval_average_metrics":
|
62 |
-
"eval_loss": 0.
|
63 |
-
"eval_runtime":
|
64 |
-
"eval_samples_per_second":
|
65 |
"step": 1000
|
66 |
},
|
67 |
{
|
68 |
"epoch": 0.58,
|
69 |
-
"eval_accuracy":
|
70 |
-
"eval_average_metrics":
|
71 |
-
"eval_loss": 0.
|
72 |
-
"eval_runtime":
|
73 |
-
"eval_samples_per_second":
|
74 |
"step": 1200
|
75 |
},
|
76 |
{
|
77 |
"epoch": 0.68,
|
78 |
-
"eval_accuracy":
|
79 |
-
"eval_average_metrics":
|
80 |
-
"eval_loss": 0.
|
81 |
-
"eval_runtime":
|
82 |
-
"eval_samples_per_second":
|
83 |
"step": 1400
|
84 |
},
|
85 |
{
|
86 |
"epoch": 0.72,
|
87 |
"learning_rate": 0.00022767598842815813,
|
88 |
-
"loss": 0.
|
89 |
"step": 1500
|
90 |
},
|
91 |
{
|
92 |
"epoch": 0.77,
|
93 |
-
"eval_accuracy":
|
94 |
-
"eval_average_metrics":
|
95 |
-
"eval_loss": 0.
|
96 |
-
"eval_runtime":
|
97 |
-
"eval_samples_per_second":
|
98 |
"step": 1600
|
99 |
},
|
100 |
{
|
101 |
"epoch": 0.87,
|
102 |
-
"eval_accuracy":
|
103 |
-
"eval_average_metrics":
|
104 |
-
"eval_loss": 0.
|
105 |
-
"eval_runtime":
|
106 |
-
"eval_samples_per_second":
|
107 |
"step": 1800
|
108 |
},
|
109 |
{
|
110 |
"epoch": 0.96,
|
111 |
"learning_rate": 0.00020356798457087753,
|
112 |
-
"loss": 0.
|
113 |
"step": 2000
|
114 |
},
|
115 |
{
|
116 |
"epoch": 0.96,
|
117 |
-
"eval_accuracy":
|
118 |
-
"eval_average_metrics":
|
119 |
-
"eval_loss": 0.
|
120 |
-
"eval_runtime":
|
121 |
-
"eval_samples_per_second":
|
122 |
"step": 2000
|
123 |
},
|
124 |
{
|
125 |
"epoch": 1.06,
|
126 |
-
"eval_accuracy":
|
127 |
-
"eval_average_metrics":
|
128 |
-
"eval_loss": 0.
|
129 |
-
"eval_runtime":
|
130 |
-
"eval_samples_per_second":
|
131 |
"step": 2200
|
132 |
},
|
133 |
{
|
134 |
"epoch": 1.16,
|
135 |
-
"eval_accuracy":
|
136 |
-
"eval_average_metrics":
|
137 |
-
"eval_loss": 0.
|
138 |
-
"eval_runtime":
|
139 |
-
"eval_samples_per_second":
|
140 |
"step": 2400
|
141 |
},
|
142 |
{
|
143 |
"epoch": 1.21,
|
144 |
"learning_rate": 0.0001794599807135969,
|
145 |
-
"loss": 0.
|
146 |
"step": 2500
|
147 |
},
|
148 |
{
|
149 |
"epoch": 1.25,
|
150 |
-
"eval_accuracy":
|
151 |
-
"eval_average_metrics":
|
152 |
-
"eval_loss": 0.
|
153 |
-
"eval_runtime":
|
154 |
-
"eval_samples_per_second":
|
155 |
"step": 2600
|
156 |
},
|
157 |
{
|
158 |
"epoch": 1.35,
|
159 |
-
"eval_accuracy":
|
160 |
-
"eval_average_metrics":
|
161 |
-
"eval_loss": 0.
|
162 |
-
"eval_runtime":
|
163 |
-
"eval_samples_per_second":
|
164 |
"step": 2800
|
165 |
},
|
166 |
{
|
167 |
"epoch": 1.45,
|
168 |
"learning_rate": 0.00015535197685631627,
|
169 |
-
"loss": 0.
|
170 |
"step": 3000
|
171 |
},
|
172 |
{
|
173 |
"epoch": 1.45,
|
174 |
-
"eval_accuracy":
|
175 |
-
"eval_average_metrics":
|
176 |
-
"eval_loss": 0.
|
177 |
-
"eval_runtime":
|
178 |
-
"eval_samples_per_second":
|
179 |
"step": 3000
|
180 |
},
|
181 |
{
|
182 |
"epoch": 1.54,
|
183 |
-
"eval_accuracy":
|
184 |
-
"eval_average_metrics":
|
185 |
-
"eval_loss": 0.
|
186 |
-
"eval_runtime":
|
187 |
-
"eval_samples_per_second":
|
188 |
"step": 3200
|
189 |
},
|
190 |
{
|
191 |
"epoch": 1.64,
|
192 |
-
"eval_accuracy":
|
193 |
-
"eval_average_metrics":
|
194 |
-
"eval_loss": 0.
|
195 |
-
"eval_runtime":
|
196 |
-
"eval_samples_per_second":
|
197 |
"step": 3400
|
198 |
},
|
199 |
{
|
200 |
"epoch": 1.69,
|
201 |
"learning_rate": 0.00013124397299903566,
|
202 |
-
"loss": 0.
|
203 |
"step": 3500
|
204 |
},
|
205 |
{
|
206 |
"epoch": 1.74,
|
207 |
-
"eval_accuracy":
|
208 |
-
"eval_average_metrics":
|
209 |
-
"eval_loss": 0.
|
210 |
-
"eval_runtime":
|
211 |
-
"eval_samples_per_second":
|
212 |
"step": 3600
|
213 |
},
|
214 |
{
|
215 |
"epoch": 1.83,
|
216 |
-
"eval_accuracy":
|
217 |
-
"eval_average_metrics":
|
218 |
-
"eval_loss": 0.
|
219 |
-
"eval_runtime":
|
220 |
-
"eval_samples_per_second":
|
221 |
"step": 3800
|
222 |
},
|
223 |
{
|
224 |
"epoch": 1.93,
|
225 |
"learning_rate": 0.00010713596914175504,
|
226 |
-
"loss": 0.
|
227 |
"step": 4000
|
228 |
},
|
229 |
{
|
230 |
"epoch": 1.93,
|
231 |
-
"eval_accuracy":
|
232 |
-
"eval_average_metrics":
|
233 |
-
"eval_loss": 0.
|
234 |
-
"eval_runtime":
|
235 |
-
"eval_samples_per_second":
|
236 |
"step": 4000
|
237 |
},
|
238 |
{
|
239 |
"epoch": 2.03,
|
240 |
-
"eval_accuracy":
|
241 |
-
"eval_average_metrics":
|
242 |
-
"eval_loss": 0.
|
243 |
-
"eval_runtime":
|
244 |
-
"eval_samples_per_second":
|
245 |
"step": 4200
|
246 |
},
|
247 |
{
|
248 |
"epoch": 2.12,
|
249 |
-
"eval_accuracy":
|
250 |
-
"eval_average_metrics":
|
251 |
-
"eval_loss": 0.
|
252 |
-
"eval_runtime":
|
253 |
-
"eval_samples_per_second":
|
254 |
"step": 4400
|
255 |
},
|
256 |
{
|
257 |
"epoch": 2.17,
|
258 |
"learning_rate": 8.302796528447444e-05,
|
259 |
-
"loss": 0.
|
260 |
"step": 4500
|
261 |
},
|
262 |
{
|
263 |
"epoch": 2.22,
|
264 |
-
"eval_accuracy":
|
265 |
-
"eval_average_metrics":
|
266 |
-
"eval_loss": 0.
|
267 |
-
"eval_runtime":
|
268 |
-
"eval_samples_per_second":
|
269 |
"step": 4600
|
270 |
},
|
271 |
{
|
272 |
"epoch": 2.31,
|
273 |
-
"eval_accuracy":
|
274 |
-
"eval_average_metrics":
|
275 |
-
"eval_loss": 0.
|
276 |
-
"eval_runtime":
|
277 |
-
"eval_samples_per_second":
|
278 |
"step": 4800
|
279 |
},
|
280 |
{
|
281 |
"epoch": 2.41,
|
282 |
"learning_rate": 5.891996142719383e-05,
|
283 |
-
"loss": 0.
|
284 |
"step": 5000
|
285 |
},
|
286 |
{
|
287 |
"epoch": 2.41,
|
288 |
-
"eval_accuracy":
|
289 |
-
"eval_average_metrics":
|
290 |
-
"eval_loss": 0.
|
291 |
-
"eval_runtime":
|
292 |
-
"eval_samples_per_second":
|
293 |
"step": 5000
|
294 |
},
|
295 |
{
|
296 |
"epoch": 2.51,
|
297 |
-
"eval_accuracy":
|
298 |
-
"eval_average_metrics":
|
299 |
-
"eval_loss": 0.
|
300 |
-
"eval_runtime":
|
301 |
-
"eval_samples_per_second":
|
302 |
"step": 5200
|
303 |
},
|
304 |
{
|
305 |
"epoch": 2.6,
|
306 |
-
"eval_accuracy":
|
307 |
-
"eval_average_metrics":
|
308 |
-
"eval_loss": 0.
|
309 |
-
"eval_runtime":
|
310 |
-
"eval_samples_per_second":
|
311 |
"step": 5400
|
312 |
},
|
313 |
{
|
314 |
"epoch": 2.65,
|
315 |
"learning_rate": 3.481195756991321e-05,
|
316 |
-
"loss": 0.
|
317 |
"step": 5500
|
318 |
},
|
319 |
{
|
320 |
"epoch": 2.7,
|
321 |
-
"eval_accuracy":
|
322 |
-
"eval_average_metrics":
|
323 |
-
"eval_loss": 0.
|
324 |
-
"eval_runtime":
|
325 |
-
"eval_samples_per_second":
|
326 |
"step": 5600
|
327 |
},
|
328 |
{
|
329 |
"epoch": 2.8,
|
330 |
-
"eval_accuracy":
|
331 |
-
"eval_average_metrics":
|
332 |
-
"eval_loss": 0.
|
333 |
-
"eval_runtime":
|
334 |
-
"eval_samples_per_second":
|
335 |
"step": 5800
|
336 |
},
|
337 |
{
|
338 |
"epoch": 2.89,
|
339 |
"learning_rate": 1.0703953712632592e-05,
|
340 |
-
"loss": 0.
|
341 |
"step": 6000
|
342 |
},
|
343 |
{
|
344 |
"epoch": 2.89,
|
345 |
-
"eval_accuracy":
|
346 |
-
"eval_average_metrics":
|
347 |
-
"eval_loss": 0.
|
348 |
-
"eval_runtime":
|
349 |
-
"eval_samples_per_second":
|
350 |
"step": 6000
|
351 |
},
|
352 |
{
|
353 |
"epoch": 2.99,
|
354 |
-
"eval_accuracy":
|
355 |
-
"eval_average_metrics":
|
356 |
-
"eval_loss": 0.
|
357 |
-
"eval_runtime":
|
358 |
-
"eval_samples_per_second":
|
359 |
"step": 6200
|
360 |
},
|
361 |
{
|
362 |
"epoch": 3.0,
|
363 |
"step": 6222,
|
364 |
-
"total_flos": 1.
|
365 |
-
"train_loss": 0.
|
366 |
-
"train_runtime":
|
367 |
-
"train_samples_per_second":
|
368 |
-
"train_steps_per_second":
|
369 |
}
|
370 |
],
|
371 |
"max_steps": 6222,
|
372 |
"num_train_epochs": 3,
|
373 |
-
"total_flos": 1.
|
374 |
"trial_name": null,
|
375 |
"trial_params": null
|
376 |
}
|
|
|
1 |
{
|
2 |
+
"best_metric": 60.099999999999994,
|
3 |
+
"best_model_checkpoint": "outputs/soft_prompt/t5-base/sst2/checkpoint-5800",
|
4 |
"epoch": 3.0,
|
5 |
"global_step": 6222,
|
6 |
"is_hyper_param_search": false,
|
|
|
9 |
"log_history": [
|
10 |
{
|
11 |
"epoch": 0.1,
|
12 |
+
"eval_accuracy": 0.0,
|
13 |
+
"eval_average_metrics": 0.0,
|
14 |
+
"eval_loss": 1.9322336912155151,
|
15 |
+
"eval_runtime": 9.7016,
|
16 |
+
"eval_samples_per_second": 103.076,
|
17 |
"step": 200
|
18 |
},
|
19 |
{
|
20 |
"epoch": 0.19,
|
21 |
+
"eval_accuracy": 51.0,
|
22 |
+
"eval_average_metrics": 51.0,
|
23 |
+
"eval_loss": 0.7396745681762695,
|
24 |
+
"eval_runtime": 3.3022,
|
25 |
+
"eval_samples_per_second": 302.832,
|
26 |
"step": 400
|
27 |
},
|
28 |
{
|
29 |
"epoch": 0.24,
|
30 |
"learning_rate": 0.00027589199614271937,
|
31 |
+
"loss": 2.5059,
|
32 |
"step": 500
|
33 |
},
|
34 |
{
|
35 |
"epoch": 0.29,
|
36 |
+
"eval_accuracy": 55.2,
|
37 |
+
"eval_average_metrics": 55.2,
|
38 |
+
"eval_loss": 0.5560445785522461,
|
39 |
+
"eval_runtime": 3.2155,
|
40 |
+
"eval_samples_per_second": 310.993,
|
41 |
"step": 600
|
42 |
},
|
43 |
{
|
44 |
"epoch": 0.39,
|
45 |
+
"eval_accuracy": 55.300000000000004,
|
46 |
+
"eval_average_metrics": 55.300000000000004,
|
47 |
+
"eval_loss": 0.463209867477417,
|
48 |
+
"eval_runtime": 3.1314,
|
49 |
+
"eval_samples_per_second": 319.345,
|
50 |
"step": 800
|
51 |
},
|
52 |
{
|
53 |
"epoch": 0.48,
|
54 |
"learning_rate": 0.0002517839922854387,
|
55 |
+
"loss": 0.7329,
|
56 |
"step": 1000
|
57 |
},
|
58 |
{
|
59 |
"epoch": 0.48,
|
60 |
+
"eval_accuracy": 55.300000000000004,
|
61 |
+
"eval_average_metrics": 55.300000000000004,
|
62 |
+
"eval_loss": 0.4116092920303345,
|
63 |
+
"eval_runtime": 3.3786,
|
64 |
+
"eval_samples_per_second": 295.977,
|
65 |
"step": 1000
|
66 |
},
|
67 |
{
|
68 |
"epoch": 0.58,
|
69 |
+
"eval_accuracy": 55.300000000000004,
|
70 |
+
"eval_average_metrics": 55.300000000000004,
|
71 |
+
"eval_loss": 0.38179224729537964,
|
72 |
+
"eval_runtime": 3.2857,
|
73 |
+
"eval_samples_per_second": 304.351,
|
74 |
"step": 1200
|
75 |
},
|
76 |
{
|
77 |
"epoch": 0.68,
|
78 |
+
"eval_accuracy": 55.300000000000004,
|
79 |
+
"eval_average_metrics": 55.300000000000004,
|
80 |
+
"eval_loss": 0.35022690892219543,
|
81 |
+
"eval_runtime": 2.8293,
|
82 |
+
"eval_samples_per_second": 353.443,
|
83 |
"step": 1400
|
84 |
},
|
85 |
{
|
86 |
"epoch": 0.72,
|
87 |
"learning_rate": 0.00022767598842815813,
|
88 |
+
"loss": 0.4828,
|
89 |
"step": 1500
|
90 |
},
|
91 |
{
|
92 |
"epoch": 0.77,
|
93 |
+
"eval_accuracy": 55.300000000000004,
|
94 |
+
"eval_average_metrics": 55.300000000000004,
|
95 |
+
"eval_loss": 0.3595990538597107,
|
96 |
+
"eval_runtime": 3.2567,
|
97 |
+
"eval_samples_per_second": 307.055,
|
98 |
"step": 1600
|
99 |
},
|
100 |
{
|
101 |
"epoch": 0.87,
|
102 |
+
"eval_accuracy": 55.300000000000004,
|
103 |
+
"eval_average_metrics": 55.300000000000004,
|
104 |
+
"eval_loss": 0.3511555790901184,
|
105 |
+
"eval_runtime": 3.0816,
|
106 |
+
"eval_samples_per_second": 324.506,
|
107 |
"step": 1800
|
108 |
},
|
109 |
{
|
110 |
"epoch": 0.96,
|
111 |
"learning_rate": 0.00020356798457087753,
|
112 |
+
"loss": 0.421,
|
113 |
"step": 2000
|
114 |
},
|
115 |
{
|
116 |
"epoch": 0.96,
|
117 |
+
"eval_accuracy": 55.300000000000004,
|
118 |
+
"eval_average_metrics": 55.300000000000004,
|
119 |
+
"eval_loss": 0.3314475417137146,
|
120 |
+
"eval_runtime": 2.522,
|
121 |
+
"eval_samples_per_second": 396.513,
|
122 |
"step": 2000
|
123 |
},
|
124 |
{
|
125 |
"epoch": 1.06,
|
126 |
+
"eval_accuracy": 55.300000000000004,
|
127 |
+
"eval_average_metrics": 55.300000000000004,
|
128 |
+
"eval_loss": 0.3108561336994171,
|
129 |
+
"eval_runtime": 2.7063,
|
130 |
+
"eval_samples_per_second": 369.512,
|
131 |
"step": 2200
|
132 |
},
|
133 |
{
|
134 |
"epoch": 1.16,
|
135 |
+
"eval_accuracy": 55.7,
|
136 |
+
"eval_average_metrics": 55.7,
|
137 |
+
"eval_loss": 0.2974016070365906,
|
138 |
+
"eval_runtime": 3.5599,
|
139 |
+
"eval_samples_per_second": 280.91,
|
140 |
"step": 2400
|
141 |
},
|
142 |
{
|
143 |
"epoch": 1.21,
|
144 |
"learning_rate": 0.0001794599807135969,
|
145 |
+
"loss": 0.3931,
|
146 |
"step": 2500
|
147 |
},
|
148 |
{
|
149 |
"epoch": 1.25,
|
150 |
+
"eval_accuracy": 55.7,
|
151 |
+
"eval_average_metrics": 55.7,
|
152 |
+
"eval_loss": 0.3047039210796356,
|
153 |
+
"eval_runtime": 3.0837,
|
154 |
+
"eval_samples_per_second": 324.282,
|
155 |
"step": 2600
|
156 |
},
|
157 |
{
|
158 |
"epoch": 1.35,
|
159 |
+
"eval_accuracy": 55.900000000000006,
|
160 |
+
"eval_average_metrics": 55.900000000000006,
|
161 |
+
"eval_loss": 0.2895060181617737,
|
162 |
+
"eval_runtime": 3.9994,
|
163 |
+
"eval_samples_per_second": 250.039,
|
164 |
"step": 2800
|
165 |
},
|
166 |
{
|
167 |
"epoch": 1.45,
|
168 |
"learning_rate": 0.00015535197685631627,
|
169 |
+
"loss": 0.3777,
|
170 |
"step": 3000
|
171 |
},
|
172 |
{
|
173 |
"epoch": 1.45,
|
174 |
+
"eval_accuracy": 56.2,
|
175 |
+
"eval_average_metrics": 56.2,
|
176 |
+
"eval_loss": 0.28209826350212097,
|
177 |
+
"eval_runtime": 3.5924,
|
178 |
+
"eval_samples_per_second": 278.366,
|
179 |
"step": 3000
|
180 |
},
|
181 |
{
|
182 |
"epoch": 1.54,
|
183 |
+
"eval_accuracy": 57.4,
|
184 |
+
"eval_average_metrics": 57.4,
|
185 |
+
"eval_loss": 0.2806238532066345,
|
186 |
+
"eval_runtime": 3.1947,
|
187 |
+
"eval_samples_per_second": 313.019,
|
188 |
"step": 3200
|
189 |
},
|
190 |
{
|
191 |
"epoch": 1.64,
|
192 |
+
"eval_accuracy": 56.699999999999996,
|
193 |
+
"eval_average_metrics": 56.699999999999996,
|
194 |
+
"eval_loss": 0.2809857428073883,
|
195 |
+
"eval_runtime": 3.3046,
|
196 |
+
"eval_samples_per_second": 302.612,
|
197 |
"step": 3400
|
198 |
},
|
199 |
{
|
200 |
"epoch": 1.69,
|
201 |
"learning_rate": 0.00013124397299903566,
|
202 |
+
"loss": 0.372,
|
203 |
"step": 3500
|
204 |
},
|
205 |
{
|
206 |
"epoch": 1.74,
|
207 |
+
"eval_accuracy": 56.89999999999999,
|
208 |
+
"eval_average_metrics": 56.89999999999999,
|
209 |
+
"eval_loss": 0.2799268066883087,
|
210 |
+
"eval_runtime": 3.5652,
|
211 |
+
"eval_samples_per_second": 280.491,
|
212 |
"step": 3600
|
213 |
},
|
214 |
{
|
215 |
"epoch": 1.83,
|
216 |
+
"eval_accuracy": 56.599999999999994,
|
217 |
+
"eval_average_metrics": 56.599999999999994,
|
218 |
+
"eval_loss": 0.2795256972312927,
|
219 |
+
"eval_runtime": 3.5541,
|
220 |
+
"eval_samples_per_second": 281.363,
|
221 |
"step": 3800
|
222 |
},
|
223 |
{
|
224 |
"epoch": 1.93,
|
225 |
"learning_rate": 0.00010713596914175504,
|
226 |
+
"loss": 0.3629,
|
227 |
"step": 4000
|
228 |
},
|
229 |
{
|
230 |
"epoch": 1.93,
|
231 |
+
"eval_accuracy": 57.099999999999994,
|
232 |
+
"eval_average_metrics": 57.099999999999994,
|
233 |
+
"eval_loss": 0.27900928258895874,
|
234 |
+
"eval_runtime": 3.42,
|
235 |
+
"eval_samples_per_second": 292.396,
|
236 |
"step": 4000
|
237 |
},
|
238 |
{
|
239 |
"epoch": 2.03,
|
240 |
+
"eval_accuracy": 57.699999999999996,
|
241 |
+
"eval_average_metrics": 57.699999999999996,
|
242 |
+
"eval_loss": 0.27878034114837646,
|
243 |
+
"eval_runtime": 3.38,
|
244 |
+
"eval_samples_per_second": 295.859,
|
245 |
"step": 4200
|
246 |
},
|
247 |
{
|
248 |
"epoch": 2.12,
|
249 |
+
"eval_accuracy": 57.699999999999996,
|
250 |
+
"eval_average_metrics": 57.699999999999996,
|
251 |
+
"eval_loss": 0.27947279810905457,
|
252 |
+
"eval_runtime": 3.1427,
|
253 |
+
"eval_samples_per_second": 318.196,
|
254 |
"step": 4400
|
255 |
},
|
256 |
{
|
257 |
"epoch": 2.17,
|
258 |
"learning_rate": 8.302796528447444e-05,
|
259 |
+
"loss": 0.3597,
|
260 |
"step": 4500
|
261 |
},
|
262 |
{
|
263 |
"epoch": 2.22,
|
264 |
+
"eval_accuracy": 57.99999999999999,
|
265 |
+
"eval_average_metrics": 57.99999999999999,
|
266 |
+
"eval_loss": 0.2773045599460602,
|
267 |
+
"eval_runtime": 3.1388,
|
268 |
+
"eval_samples_per_second": 318.593,
|
269 |
"step": 4600
|
270 |
},
|
271 |
{
|
272 |
"epoch": 2.31,
|
273 |
+
"eval_accuracy": 59.8,
|
274 |
+
"eval_average_metrics": 59.8,
|
275 |
+
"eval_loss": 0.2791491448879242,
|
276 |
+
"eval_runtime": 3.8832,
|
277 |
+
"eval_samples_per_second": 257.519,
|
278 |
"step": 4800
|
279 |
},
|
280 |
{
|
281 |
"epoch": 2.41,
|
282 |
"learning_rate": 5.891996142719383e-05,
|
283 |
+
"loss": 0.3555,
|
284 |
"step": 5000
|
285 |
},
|
286 |
{
|
287 |
"epoch": 2.41,
|
288 |
+
"eval_accuracy": 59.4,
|
289 |
+
"eval_average_metrics": 59.4,
|
290 |
+
"eval_loss": 0.2792259454727173,
|
291 |
+
"eval_runtime": 3.3994,
|
292 |
+
"eval_samples_per_second": 294.169,
|
293 |
"step": 5000
|
294 |
},
|
295 |
{
|
296 |
"epoch": 2.51,
|
297 |
+
"eval_accuracy": 59.3,
|
298 |
+
"eval_average_metrics": 59.3,
|
299 |
+
"eval_loss": 0.27831217646598816,
|
300 |
+
"eval_runtime": 3.2184,
|
301 |
+
"eval_samples_per_second": 310.718,
|
302 |
"step": 5200
|
303 |
},
|
304 |
{
|
305 |
"epoch": 2.6,
|
306 |
+
"eval_accuracy": 59.199999999999996,
|
307 |
+
"eval_average_metrics": 59.199999999999996,
|
308 |
+
"eval_loss": 0.2772988975048065,
|
309 |
+
"eval_runtime": 3.2951,
|
310 |
+
"eval_samples_per_second": 303.485,
|
311 |
"step": 5400
|
312 |
},
|
313 |
{
|
314 |
"epoch": 2.65,
|
315 |
"learning_rate": 3.481195756991321e-05,
|
316 |
+
"loss": 0.3528,
|
317 |
"step": 5500
|
318 |
},
|
319 |
{
|
320 |
"epoch": 2.7,
|
321 |
+
"eval_accuracy": 59.9,
|
322 |
+
"eval_average_metrics": 59.9,
|
323 |
+
"eval_loss": 0.2777373790740967,
|
324 |
+
"eval_runtime": 3.3995,
|
325 |
+
"eval_samples_per_second": 294.161,
|
326 |
"step": 5600
|
327 |
},
|
328 |
{
|
329 |
"epoch": 2.8,
|
330 |
+
"eval_accuracy": 60.099999999999994,
|
331 |
+
"eval_average_metrics": 60.099999999999994,
|
332 |
+
"eval_loss": 0.2783910036087036,
|
333 |
+
"eval_runtime": 3.8322,
|
334 |
+
"eval_samples_per_second": 260.948,
|
335 |
"step": 5800
|
336 |
},
|
337 |
{
|
338 |
"epoch": 2.89,
|
339 |
"learning_rate": 1.0703953712632592e-05,
|
340 |
+
"loss": 0.3503,
|
341 |
"step": 6000
|
342 |
},
|
343 |
{
|
344 |
"epoch": 2.89,
|
345 |
+
"eval_accuracy": 59.699999999999996,
|
346 |
+
"eval_average_metrics": 59.699999999999996,
|
347 |
+
"eval_loss": 0.27744776010513306,
|
348 |
+
"eval_runtime": 3.3726,
|
349 |
+
"eval_samples_per_second": 296.511,
|
350 |
"step": 6000
|
351 |
},
|
352 |
{
|
353 |
"epoch": 2.99,
|
354 |
+
"eval_accuracy": 59.9,
|
355 |
+
"eval_average_metrics": 59.9,
|
356 |
+
"eval_loss": 0.27743667364120483,
|
357 |
+
"eval_runtime": 3.6434,
|
358 |
+
"eval_samples_per_second": 274.47,
|
359 |
"step": 6200
|
360 |
},
|
361 |
{
|
362 |
"epoch": 3.0,
|
363 |
"step": 6222,
|
364 |
+
"total_flos": 1.316605032958464e+16,
|
365 |
+
"train_loss": 0.5804944922785328,
|
366 |
+
"train_runtime": 1254.7674,
|
367 |
+
"train_samples_per_second": 158.633,
|
368 |
+
"train_steps_per_second": 4.959
|
369 |
}
|
370 |
],
|
371 |
"max_steps": 6222,
|
372 |
"num_train_epochs": 3,
|
373 |
+
"total_flos": 1.316605032958464e+16,
|
374 |
"trial_name": null,
|
375 |
"trial_params": null
|
376 |
}
|
training_args.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 3183
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:011028b4522e6a361729bdf6448cb8ad949df04a35d5783ce734197da2e28eb4
|
3 |
size 3183
|
training_config.json
CHANGED
@@ -1 +1 @@
|
|
1 |
-
{"dataset_config_name": ["en"], "delta_type": "soft_prompt", "do_eval": true, "do_test": true, "do_train": true, "eval_dataset_config_name": ["en"], "eval_dataset_name": "sst2", "eval_steps": 200, "evaluation_strategy": "steps", "greater_is_better": true, "learning_rate": 0.
|
|
|
1 |
+
{"dataset_config_name": ["en"], "delta_type": "soft_prompt", "do_eval": true, "do_test": true, "do_train": true, "eval_dataset_config_name": ["en"], "eval_dataset_name": "sst2", "eval_steps": 200, "evaluation_strategy": "steps", "greater_is_better": true, "learning_rate": 0.03, "load_best_model_at_end": true, "max_source_length": 128, "metric_for_best_model": "average_metrics", "model_name_or_path": "../../../../plm_cache/t5-base", "num_train_epochs": 3, "output_dir": "outputs/soft_prompt/t5-base/sst2", "overwrite_output_dir": true, "per_device_eval_batch_size": 32, "per_device_train_batch_size": 32, "predict_with_generate": true, "push_to_hub": true, "save_steps": 200, "save_strategy": "steps", "save_total_limit": 1, "seed": 42, "soft_token_num": 100, "split_validation_test": true, "task_name": "sst2", "test_dataset_config_name": ["en"], "test_dataset_name": "sst2", "tokenizer_name": "../../../../plm_cache/t5-base", "unfrozen_modules": ["deltas"], "warmup_steps": 0}
|