Training in progress, step 500, checkpoint
Browse files- checkpoint-500/optimizer.pt +1 -1
- checkpoint-500/pytorch_model.bin +1 -1
- checkpoint-500/rng_state.pth +1 -1
- checkpoint-500/trainer_state.json +310 -175
- checkpoint-500/training_args.bin +1 -1
checkpoint-500/optimizer.pt
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 997351674
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:d9b5331a049bf007e3fe60e6b2ee0194b68959b298abbf3a9c2ee94807a4dd2d
|
3 |
size 997351674
|
checkpoint-500/pytorch_model.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 498661166
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:58f17f1f744378c30c2b3f5533b9d7bedf71b3d71f7f094f101e878c5d4bf595
|
3 |
size 498661166
|
checkpoint-500/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:fd8ed62c04c41b6e0c29c4bf4ad972a544ebceea21938ff9f3a06432ffd506cd
|
3 |
size 14244
|
checkpoint-500/trainer_state.json
CHANGED
@@ -1,409 +1,544 @@
|
|
1 |
{
|
2 |
"best_metric": null,
|
3 |
"best_model_checkpoint": null,
|
4 |
-
"epoch":
|
5 |
-
"eval_steps":
|
6 |
"global_step": 500,
|
7 |
"is_hyper_param_search": false,
|
8 |
"is_local_process_zero": true,
|
9 |
"is_world_process_zero": true,
|
10 |
"log_history": [
|
11 |
{
|
12 |
-
"epoch": 0.
|
13 |
"learning_rate": 5e-07,
|
14 |
-
"loss": 1.
|
15 |
"step": 10
|
16 |
},
|
17 |
{
|
18 |
-
"epoch": 0.
|
19 |
"learning_rate": 1e-06,
|
20 |
-
"loss": 1.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
21 |
"step": 20
|
22 |
},
|
23 |
{
|
24 |
-
"epoch": 0.
|
25 |
"learning_rate": 1.5e-06,
|
26 |
-
"loss": 1.
|
27 |
"step": 30
|
28 |
},
|
29 |
{
|
30 |
-
"epoch": 0.
|
31 |
"learning_rate": 2e-06,
|
32 |
-
"loss": 1.
|
33 |
"step": 40
|
34 |
},
|
35 |
{
|
36 |
-
"epoch": 0.
|
37 |
-
"
|
38 |
-
"
|
39 |
-
"
|
|
|
|
|
|
|
40 |
},
|
41 |
{
|
42 |
-
"epoch": 0.
|
43 |
-
"
|
44 |
-
"
|
45 |
-
"eval_runtime": 49.5848,
|
46 |
-
"eval_samples_per_second": 605.307,
|
47 |
-
"eval_steps_per_second": 1.19,
|
48 |
"step": 50
|
49 |
},
|
50 |
{
|
51 |
-
"epoch": 0.
|
52 |
"learning_rate": 3e-06,
|
53 |
-
"loss": 1.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
54 |
"step": 60
|
55 |
},
|
56 |
{
|
57 |
-
"epoch": 0.
|
58 |
"learning_rate": 3.5e-06,
|
59 |
-
"loss": 1.
|
60 |
"step": 70
|
61 |
},
|
62 |
{
|
63 |
-
"epoch": 0.
|
64 |
"learning_rate": 4e-06,
|
65 |
-
"loss": 1.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
66 |
"step": 80
|
67 |
},
|
68 |
{
|
69 |
-
"epoch": 0.
|
70 |
"learning_rate": 4.5e-06,
|
71 |
-
"loss":
|
72 |
"step": 90
|
73 |
},
|
74 |
{
|
75 |
-
"epoch": 0.
|
76 |
"learning_rate": 5e-06,
|
77 |
-
"loss":
|
78 |
"step": 100
|
79 |
},
|
80 |
{
|
81 |
-
"epoch": 0.
|
82 |
-
"eval_accuracy": 0.
|
83 |
-
"eval_loss": 0.
|
84 |
-
"eval_runtime": 49.
|
85 |
-
"eval_samples_per_second":
|
86 |
-
"eval_steps_per_second": 1.
|
87 |
"step": 100
|
88 |
},
|
89 |
{
|
90 |
-
"epoch": 0.
|
91 |
"learning_rate": 5.5e-06,
|
92 |
-
"loss":
|
93 |
"step": 110
|
94 |
},
|
95 |
{
|
96 |
-
"epoch": 0.
|
97 |
"learning_rate": 6e-06,
|
98 |
-
"loss":
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
99 |
"step": 120
|
100 |
},
|
101 |
{
|
102 |
-
"epoch": 0.
|
103 |
"learning_rate": 6.5e-06,
|
104 |
-
"loss":
|
105 |
"step": 130
|
106 |
},
|
107 |
{
|
108 |
-
"epoch": 0.
|
109 |
"learning_rate": 7e-06,
|
110 |
-
"loss": 0.
|
111 |
"step": 140
|
112 |
},
|
113 |
{
|
114 |
-
"epoch": 0.
|
115 |
-
"
|
116 |
-
"
|
117 |
-
"
|
|
|
|
|
|
|
118 |
},
|
119 |
{
|
120 |
-
"epoch": 0.
|
121 |
-
"
|
122 |
-
"
|
123 |
-
"eval_runtime": 49.4568,
|
124 |
-
"eval_samples_per_second": 606.874,
|
125 |
-
"eval_steps_per_second": 1.193,
|
126 |
"step": 150
|
127 |
},
|
128 |
{
|
129 |
-
"epoch": 0.
|
130 |
"learning_rate": 8e-06,
|
131 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
132 |
"step": 160
|
133 |
},
|
134 |
{
|
135 |
-
"epoch": 0.
|
136 |
"learning_rate": 8.500000000000002e-06,
|
137 |
-
"loss": 0.
|
138 |
"step": 170
|
139 |
},
|
140 |
{
|
141 |
-
"epoch": 0.
|
142 |
"learning_rate": 9e-06,
|
143 |
-
"loss": 0.
|
144 |
"step": 180
|
145 |
},
|
146 |
{
|
147 |
-
"epoch": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
148 |
"learning_rate": 9.5e-06,
|
149 |
-
"loss": 0.
|
150 |
"step": 190
|
151 |
},
|
152 |
{
|
153 |
-
"epoch": 0.
|
154 |
"learning_rate": 1e-05,
|
155 |
-
"loss": 0.
|
156 |
"step": 200
|
157 |
},
|
158 |
{
|
159 |
-
"epoch": 0.
|
160 |
-
"eval_accuracy": 0.
|
161 |
-
"eval_loss": 0.
|
162 |
-
"eval_runtime": 49.
|
163 |
-
"eval_samples_per_second":
|
164 |
-
"eval_steps_per_second": 1.
|
165 |
"step": 200
|
166 |
},
|
167 |
{
|
168 |
-
"epoch": 0.
|
169 |
"learning_rate": 1.0500000000000001e-05,
|
170 |
-
"loss": 0.
|
171 |
"step": 210
|
172 |
},
|
173 |
{
|
174 |
-
"epoch": 0.
|
175 |
"learning_rate": 1.1e-05,
|
176 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
177 |
"step": 220
|
178 |
},
|
179 |
{
|
180 |
-
"epoch": 0.
|
181 |
"learning_rate": 1.15e-05,
|
182 |
-
"loss": 0.
|
183 |
"step": 230
|
184 |
},
|
185 |
{
|
186 |
-
"epoch": 0.
|
187 |
"learning_rate": 1.2e-05,
|
188 |
-
"loss": 0.
|
189 |
"step": 240
|
190 |
},
|
191 |
{
|
192 |
-
"epoch": 0.
|
193 |
-
"
|
194 |
-
"
|
195 |
-
"
|
|
|
|
|
|
|
196 |
},
|
197 |
{
|
198 |
-
"epoch": 0.
|
199 |
-
"
|
200 |
-
"
|
201 |
-
"eval_runtime": 49.5108,
|
202 |
-
"eval_samples_per_second": 606.212,
|
203 |
-
"eval_steps_per_second": 1.192,
|
204 |
"step": 250
|
205 |
},
|
206 |
{
|
207 |
-
"epoch": 0.
|
208 |
"learning_rate": 1.3e-05,
|
209 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
210 |
"step": 260
|
211 |
},
|
212 |
{
|
213 |
-
"epoch": 0.
|
214 |
"learning_rate": 1.35e-05,
|
215 |
-
"loss": 0.
|
216 |
"step": 270
|
217 |
},
|
218 |
{
|
219 |
-
"epoch": 0.
|
220 |
"learning_rate": 1.4e-05,
|
221 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
222 |
"step": 280
|
223 |
},
|
224 |
{
|
225 |
-
"epoch": 0.
|
226 |
"learning_rate": 1.4500000000000002e-05,
|
227 |
-
"loss": 0.
|
228 |
"step": 290
|
229 |
},
|
230 |
{
|
231 |
-
"epoch": 0.
|
232 |
"learning_rate": 1.5e-05,
|
233 |
-
"loss": 0.
|
234 |
"step": 300
|
235 |
},
|
236 |
{
|
237 |
-
"epoch": 0.
|
238 |
-
"eval_accuracy": 0.
|
239 |
-
"eval_loss": 0.
|
240 |
-
"eval_runtime": 49.
|
241 |
-
"eval_samples_per_second":
|
242 |
-
"eval_steps_per_second": 1.
|
243 |
"step": 300
|
244 |
},
|
245 |
{
|
246 |
-
"epoch": 0.
|
247 |
"learning_rate": 1.55e-05,
|
248 |
-
"loss": 0.
|
249 |
"step": 310
|
250 |
},
|
251 |
{
|
252 |
-
"epoch": 0.
|
253 |
"learning_rate": 1.6e-05,
|
254 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
255 |
"step": 320
|
256 |
},
|
257 |
{
|
258 |
-
"epoch": 0.
|
259 |
"learning_rate": 1.65e-05,
|
260 |
-
"loss": 0.
|
261 |
"step": 330
|
262 |
},
|
263 |
{
|
264 |
-
"epoch":
|
265 |
"learning_rate": 1.7000000000000003e-05,
|
266 |
-
"loss": 0.
|
267 |
"step": 340
|
268 |
},
|
269 |
{
|
270 |
-
"epoch":
|
271 |
-
"
|
272 |
-
"
|
273 |
-
"
|
|
|
|
|
|
|
274 |
},
|
275 |
{
|
276 |
-
"epoch":
|
277 |
-
"
|
278 |
-
"
|
279 |
-
"eval_runtime": 49.5126,
|
280 |
-
"eval_samples_per_second": 606.189,
|
281 |
-
"eval_steps_per_second": 1.192,
|
282 |
"step": 350
|
283 |
},
|
284 |
{
|
285 |
-
"epoch":
|
286 |
"learning_rate": 1.8e-05,
|
287 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
288 |
"step": 360
|
289 |
},
|
290 |
{
|
291 |
-
"epoch":
|
292 |
"learning_rate": 1.85e-05,
|
293 |
-
"loss": 0.
|
294 |
"step": 370
|
295 |
},
|
296 |
{
|
297 |
-
"epoch":
|
298 |
"learning_rate": 1.9e-05,
|
299 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
300 |
"step": 380
|
301 |
},
|
302 |
{
|
303 |
-
"epoch":
|
304 |
"learning_rate": 1.95e-05,
|
305 |
-
"loss": 0.
|
306 |
"step": 390
|
307 |
},
|
308 |
{
|
309 |
-
"epoch":
|
310 |
"learning_rate": 2e-05,
|
311 |
-
"loss": 0.
|
312 |
"step": 400
|
313 |
},
|
314 |
{
|
315 |
-
"epoch":
|
316 |
-
"eval_accuracy": 0.
|
317 |
-
"eval_loss": 0.
|
318 |
-
"eval_runtime": 49.
|
319 |
-
"eval_samples_per_second": 606.
|
320 |
-
"eval_steps_per_second": 1.
|
321 |
"step": 400
|
322 |
},
|
323 |
{
|
324 |
-
"epoch":
|
325 |
"learning_rate": 2.05e-05,
|
326 |
-
"loss": 0.
|
327 |
"step": 410
|
328 |
},
|
329 |
{
|
330 |
-
"epoch":
|
331 |
"learning_rate": 2.1000000000000002e-05,
|
332 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
333 |
"step": 420
|
334 |
},
|
335 |
{
|
336 |
-
"epoch":
|
337 |
"learning_rate": 2.1499999999999997e-05,
|
338 |
-
"loss": 0.
|
339 |
"step": 430
|
340 |
},
|
341 |
{
|
342 |
-
"epoch":
|
343 |
"learning_rate": 2.2e-05,
|
344 |
-
"loss": 0.
|
345 |
"step": 440
|
346 |
},
|
347 |
{
|
348 |
-
"epoch":
|
349 |
-
"
|
350 |
-
"
|
351 |
-
"
|
|
|
|
|
|
|
352 |
},
|
353 |
{
|
354 |
-
"epoch":
|
355 |
-
"
|
356 |
-
"
|
357 |
-
"eval_runtime": 49.5226,
|
358 |
-
"eval_samples_per_second": 606.066,
|
359 |
-
"eval_steps_per_second": 1.191,
|
360 |
"step": 450
|
361 |
},
|
362 |
{
|
363 |
-
"epoch":
|
364 |
"learning_rate": 2.3e-05,
|
365 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
366 |
"step": 460
|
367 |
},
|
368 |
{
|
369 |
-
"epoch":
|
370 |
"learning_rate": 2.3500000000000002e-05,
|
371 |
-
"loss": 0.
|
372 |
"step": 470
|
373 |
},
|
374 |
{
|
375 |
-
"epoch":
|
376 |
"learning_rate": 2.4e-05,
|
377 |
-
"loss": 0.
|
378 |
"step": 480
|
379 |
},
|
380 |
{
|
381 |
-
"epoch":
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
382 |
"learning_rate": 2.4500000000000003e-05,
|
383 |
-
"loss": 0.
|
384 |
"step": 490
|
385 |
},
|
386 |
{
|
387 |
-
"epoch":
|
388 |
"learning_rate": 2.5e-05,
|
389 |
-
"loss": 0.
|
390 |
"step": 500
|
391 |
},
|
392 |
{
|
393 |
-
"epoch":
|
394 |
-
"eval_accuracy": 0.
|
395 |
-
"eval_loss": 0.
|
396 |
-
"eval_runtime": 49.
|
397 |
-
"eval_samples_per_second":
|
398 |
-
"eval_steps_per_second": 1.
|
399 |
"step": 500
|
400 |
}
|
401 |
],
|
402 |
"logging_steps": 10,
|
403 |
-
"max_steps":
|
404 |
"num_train_epochs": 3,
|
405 |
-
"save_steps":
|
406 |
-
"total_flos":
|
407 |
"trial_name": null,
|
408 |
"trial_params": null
|
409 |
}
|
|
|
1 |
{
|
2 |
"best_metric": null,
|
3 |
"best_model_checkpoint": null,
|
4 |
+
"epoch": 1.5048908954100828,
|
5 |
+
"eval_steps": 20,
|
6 |
"global_step": 500,
|
7 |
"is_hyper_param_search": false,
|
8 |
"is_local_process_zero": true,
|
9 |
"is_world_process_zero": true,
|
10 |
"log_history": [
|
11 |
{
|
12 |
+
"epoch": 0.03,
|
13 |
"learning_rate": 5e-07,
|
14 |
+
"loss": 1.1046,
|
15 |
"step": 10
|
16 |
},
|
17 |
{
|
18 |
+
"epoch": 0.06,
|
19 |
"learning_rate": 1e-06,
|
20 |
+
"loss": 1.0664,
|
21 |
+
"step": 20
|
22 |
+
},
|
23 |
+
{
|
24 |
+
"epoch": 0.06,
|
25 |
+
"eval_accuracy": 0.44479243019924036,
|
26 |
+
"eval_loss": 1.065091609954834,
|
27 |
+
"eval_runtime": 50.348,
|
28 |
+
"eval_samples_per_second": 596.131,
|
29 |
+
"eval_steps_per_second": 1.172,
|
30 |
"step": 20
|
31 |
},
|
32 |
{
|
33 |
+
"epoch": 0.09,
|
34 |
"learning_rate": 1.5e-06,
|
35 |
+
"loss": 1.0672,
|
36 |
"step": 30
|
37 |
},
|
38 |
{
|
39 |
+
"epoch": 0.12,
|
40 |
"learning_rate": 2e-06,
|
41 |
+
"loss": 1.0423,
|
42 |
"step": 40
|
43 |
},
|
44 |
{
|
45 |
+
"epoch": 0.12,
|
46 |
+
"eval_accuracy": 0.5033650962883988,
|
47 |
+
"eval_loss": 1.0188277959823608,
|
48 |
+
"eval_runtime": 49.614,
|
49 |
+
"eval_samples_per_second": 604.95,
|
50 |
+
"eval_steps_per_second": 1.189,
|
51 |
+
"step": 40
|
52 |
},
|
53 |
{
|
54 |
+
"epoch": 0.15,
|
55 |
+
"learning_rate": 2.5e-06,
|
56 |
+
"loss": 1.027,
|
|
|
|
|
|
|
57 |
"step": 50
|
58 |
},
|
59 |
{
|
60 |
+
"epoch": 0.18,
|
61 |
"learning_rate": 3e-06,
|
62 |
+
"loss": 1.0137,
|
63 |
+
"step": 60
|
64 |
+
},
|
65 |
+
{
|
66 |
+
"epoch": 0.18,
|
67 |
+
"eval_accuracy": 0.5279203038581995,
|
68 |
+
"eval_loss": 0.9871189594268799,
|
69 |
+
"eval_runtime": 49.5201,
|
70 |
+
"eval_samples_per_second": 606.098,
|
71 |
+
"eval_steps_per_second": 1.191,
|
72 |
"step": 60
|
73 |
},
|
74 |
{
|
75 |
+
"epoch": 0.21,
|
76 |
"learning_rate": 3.5e-06,
|
77 |
+
"loss": 1.0005,
|
78 |
"step": 70
|
79 |
},
|
80 |
{
|
81 |
+
"epoch": 0.24,
|
82 |
"learning_rate": 4e-06,
|
83 |
+
"loss": 1.0027,
|
84 |
+
"step": 80
|
85 |
+
},
|
86 |
+
{
|
87 |
+
"epoch": 0.24,
|
88 |
+
"eval_accuracy": 0.5308189511561271,
|
89 |
+
"eval_loss": 0.9888613224029541,
|
90 |
+
"eval_runtime": 49.4469,
|
91 |
+
"eval_samples_per_second": 606.994,
|
92 |
+
"eval_steps_per_second": 1.193,
|
93 |
"step": 80
|
94 |
},
|
95 |
{
|
96 |
+
"epoch": 0.27,
|
97 |
"learning_rate": 4.5e-06,
|
98 |
+
"loss": 0.9937,
|
99 |
"step": 90
|
100 |
},
|
101 |
{
|
102 |
+
"epoch": 0.3,
|
103 |
"learning_rate": 5e-06,
|
104 |
+
"loss": 0.9914,
|
105 |
"step": 100
|
106 |
},
|
107 |
{
|
108 |
+
"epoch": 0.3,
|
109 |
+
"eval_accuracy": 0.5307856333710935,
|
110 |
+
"eval_loss": 0.9762536883354187,
|
111 |
+
"eval_runtime": 49.4804,
|
112 |
+
"eval_samples_per_second": 606.583,
|
113 |
+
"eval_steps_per_second": 1.192,
|
114 |
"step": 100
|
115 |
},
|
116 |
{
|
117 |
+
"epoch": 0.33,
|
118 |
"learning_rate": 5.5e-06,
|
119 |
+
"loss": 0.9884,
|
120 |
"step": 110
|
121 |
},
|
122 |
{
|
123 |
+
"epoch": 0.36,
|
124 |
"learning_rate": 6e-06,
|
125 |
+
"loss": 0.9826,
|
126 |
+
"step": 120
|
127 |
+
},
|
128 |
+
{
|
129 |
+
"epoch": 0.36,
|
130 |
+
"eval_accuracy": 0.5387819017791697,
|
131 |
+
"eval_loss": 0.9713281989097595,
|
132 |
+
"eval_runtime": 49.4983,
|
133 |
+
"eval_samples_per_second": 606.364,
|
134 |
+
"eval_steps_per_second": 1.192,
|
135 |
"step": 120
|
136 |
},
|
137 |
{
|
138 |
+
"epoch": 0.39,
|
139 |
"learning_rate": 6.5e-06,
|
140 |
+
"loss": 0.9882,
|
141 |
"step": 130
|
142 |
},
|
143 |
{
|
144 |
+
"epoch": 0.42,
|
145 |
"learning_rate": 7e-06,
|
146 |
+
"loss": 0.9788,
|
147 |
"step": 140
|
148 |
},
|
149 |
{
|
150 |
+
"epoch": 0.42,
|
151 |
+
"eval_accuracy": 0.5312520823615646,
|
152 |
+
"eval_loss": 0.9766249656677246,
|
153 |
+
"eval_runtime": 49.5213,
|
154 |
+
"eval_samples_per_second": 606.083,
|
155 |
+
"eval_steps_per_second": 1.191,
|
156 |
+
"step": 140
|
157 |
},
|
158 |
{
|
159 |
+
"epoch": 0.45,
|
160 |
+
"learning_rate": 7.5e-06,
|
161 |
+
"loss": 0.9854,
|
|
|
|
|
|
|
162 |
"step": 150
|
163 |
},
|
164 |
{
|
165 |
+
"epoch": 0.48,
|
166 |
"learning_rate": 8e-06,
|
167 |
+
"loss": 0.984,
|
168 |
+
"step": 160
|
169 |
+
},
|
170 |
+
{
|
171 |
+
"epoch": 0.48,
|
172 |
+
"eval_accuracy": 0.5398147531152129,
|
173 |
+
"eval_loss": 0.9589501619338989,
|
174 |
+
"eval_runtime": 49.4977,
|
175 |
+
"eval_samples_per_second": 606.372,
|
176 |
+
"eval_steps_per_second": 1.192,
|
177 |
"step": 160
|
178 |
},
|
179 |
{
|
180 |
+
"epoch": 0.51,
|
181 |
"learning_rate": 8.500000000000002e-06,
|
182 |
+
"loss": 0.9795,
|
183 |
"step": 170
|
184 |
},
|
185 |
{
|
186 |
+
"epoch": 0.54,
|
187 |
"learning_rate": 9e-06,
|
188 |
+
"loss": 0.9694,
|
189 |
"step": 180
|
190 |
},
|
191 |
{
|
192 |
+
"epoch": 0.54,
|
193 |
+
"eval_accuracy": 0.5423469047777704,
|
194 |
+
"eval_loss": 0.953514814376831,
|
195 |
+
"eval_runtime": 49.4511,
|
196 |
+
"eval_samples_per_second": 606.943,
|
197 |
+
"eval_steps_per_second": 1.193,
|
198 |
+
"step": 180
|
199 |
+
},
|
200 |
+
{
|
201 |
+
"epoch": 0.57,
|
202 |
"learning_rate": 9.5e-06,
|
203 |
+
"loss": 0.9757,
|
204 |
"step": 190
|
205 |
},
|
206 |
{
|
207 |
+
"epoch": 0.6,
|
208 |
"learning_rate": 1e-05,
|
209 |
+
"loss": 0.9676,
|
210 |
"step": 200
|
211 |
},
|
212 |
{
|
213 |
+
"epoch": 0.6,
|
214 |
+
"eval_accuracy": 0.567201972412874,
|
215 |
+
"eval_loss": 0.9273685812950134,
|
216 |
+
"eval_runtime": 49.4122,
|
217 |
+
"eval_samples_per_second": 607.421,
|
218 |
+
"eval_steps_per_second": 1.194,
|
219 |
"step": 200
|
220 |
},
|
221 |
{
|
222 |
+
"epoch": 0.63,
|
223 |
"learning_rate": 1.0500000000000001e-05,
|
224 |
+
"loss": 0.9708,
|
225 |
"step": 210
|
226 |
},
|
227 |
{
|
228 |
+
"epoch": 0.66,
|
229 |
"learning_rate": 1.1e-05,
|
230 |
+
"loss": 0.9753,
|
231 |
+
"step": 220
|
232 |
+
},
|
233 |
+
{
|
234 |
+
"epoch": 0.66,
|
235 |
+
"eval_accuracy": 0.573598987139335,
|
236 |
+
"eval_loss": 0.912590503692627,
|
237 |
+
"eval_runtime": 49.2827,
|
238 |
+
"eval_samples_per_second": 609.017,
|
239 |
+
"eval_steps_per_second": 1.197,
|
240 |
"step": 220
|
241 |
},
|
242 |
{
|
243 |
+
"epoch": 0.69,
|
244 |
"learning_rate": 1.15e-05,
|
245 |
+
"loss": 0.9586,
|
246 |
"step": 230
|
247 |
},
|
248 |
{
|
249 |
+
"epoch": 0.72,
|
250 |
"learning_rate": 1.2e-05,
|
251 |
+
"loss": 0.9557,
|
252 |
"step": 240
|
253 |
},
|
254 |
{
|
255 |
+
"epoch": 0.72,
|
256 |
+
"eval_accuracy": 0.5759645498767242,
|
257 |
+
"eval_loss": 0.9052607417106628,
|
258 |
+
"eval_runtime": 49.4457,
|
259 |
+
"eval_samples_per_second": 607.01,
|
260 |
+
"eval_steps_per_second": 1.193,
|
261 |
+
"step": 240
|
262 |
},
|
263 |
{
|
264 |
+
"epoch": 0.75,
|
265 |
+
"learning_rate": 1.25e-05,
|
266 |
+
"loss": 0.9518,
|
|
|
|
|
|
|
267 |
"step": 250
|
268 |
},
|
269 |
{
|
270 |
+
"epoch": 0.78,
|
271 |
"learning_rate": 1.3e-05,
|
272 |
+
"loss": 0.9508,
|
273 |
+
"step": 260
|
274 |
+
},
|
275 |
+
{
|
276 |
+
"epoch": 0.78,
|
277 |
+
"eval_accuracy": 0.5766975411474645,
|
278 |
+
"eval_loss": 0.9178985953330994,
|
279 |
+
"eval_runtime": 49.3132,
|
280 |
+
"eval_samples_per_second": 608.641,
|
281 |
+
"eval_steps_per_second": 1.196,
|
282 |
"step": 260
|
283 |
},
|
284 |
{
|
285 |
+
"epoch": 0.81,
|
286 |
"learning_rate": 1.35e-05,
|
287 |
+
"loss": 0.9405,
|
288 |
"step": 270
|
289 |
},
|
290 |
{
|
291 |
+
"epoch": 0.84,
|
292 |
"learning_rate": 1.4e-05,
|
293 |
+
"loss": 0.9355,
|
294 |
+
"step": 280
|
295 |
+
},
|
296 |
+
{
|
297 |
+
"epoch": 0.84,
|
298 |
+
"eval_accuracy": 0.58915839275005,
|
299 |
+
"eval_loss": 0.8937407732009888,
|
300 |
+
"eval_runtime": 49.4342,
|
301 |
+
"eval_samples_per_second": 607.15,
|
302 |
+
"eval_steps_per_second": 1.194,
|
303 |
"step": 280
|
304 |
},
|
305 |
{
|
306 |
+
"epoch": 0.87,
|
307 |
"learning_rate": 1.4500000000000002e-05,
|
308 |
+
"loss": 0.9235,
|
309 |
"step": 290
|
310 |
},
|
311 |
{
|
312 |
+
"epoch": 0.9,
|
313 |
"learning_rate": 1.5e-05,
|
314 |
+
"loss": 0.9,
|
315 |
"step": 300
|
316 |
},
|
317 |
{
|
318 |
+
"epoch": 0.9,
|
319 |
+
"eval_accuracy": 0.613013926834144,
|
320 |
+
"eval_loss": 0.8468813300132751,
|
321 |
+
"eval_runtime": 49.5046,
|
322 |
+
"eval_samples_per_second": 606.287,
|
323 |
+
"eval_steps_per_second": 1.192,
|
324 |
"step": 300
|
325 |
},
|
326 |
{
|
327 |
+
"epoch": 0.93,
|
328 |
"learning_rate": 1.55e-05,
|
329 |
+
"loss": 0.8857,
|
330 |
"step": 310
|
331 |
},
|
332 |
{
|
333 |
+
"epoch": 0.96,
|
334 |
"learning_rate": 1.6e-05,
|
335 |
+
"loss": 0.993,
|
336 |
+
"step": 320
|
337 |
+
},
|
338 |
+
{
|
339 |
+
"epoch": 0.96,
|
340 |
+
"eval_accuracy": 0.6046511627906976,
|
341 |
+
"eval_loss": 0.8615403771400452,
|
342 |
+
"eval_runtime": 49.5041,
|
343 |
+
"eval_samples_per_second": 606.294,
|
344 |
+
"eval_steps_per_second": 1.192,
|
345 |
"step": 320
|
346 |
},
|
347 |
{
|
348 |
+
"epoch": 0.99,
|
349 |
"learning_rate": 1.65e-05,
|
350 |
+
"loss": 0.8418,
|
351 |
"step": 330
|
352 |
},
|
353 |
{
|
354 |
+
"epoch": 1.02,
|
355 |
"learning_rate": 1.7000000000000003e-05,
|
356 |
+
"loss": 0.8527,
|
357 |
"step": 340
|
358 |
},
|
359 |
{
|
360 |
+
"epoch": 1.02,
|
361 |
+
"eval_accuracy": 0.6439328313453722,
|
362 |
+
"eval_loss": 0.7896137237548828,
|
363 |
+
"eval_runtime": 49.4448,
|
364 |
+
"eval_samples_per_second": 607.02,
|
365 |
+
"eval_steps_per_second": 1.193,
|
366 |
+
"step": 340
|
367 |
},
|
368 |
{
|
369 |
+
"epoch": 1.05,
|
370 |
+
"learning_rate": 1.7500000000000002e-05,
|
371 |
+
"loss": 0.8982,
|
|
|
|
|
|
|
372 |
"step": 350
|
373 |
},
|
374 |
{
|
375 |
+
"epoch": 1.08,
|
376 |
"learning_rate": 1.8e-05,
|
377 |
+
"loss": 0.966,
|
378 |
+
"step": 360
|
379 |
+
},
|
380 |
+
{
|
381 |
+
"epoch": 1.08,
|
382 |
+
"eval_accuracy": 0.5315852602119011,
|
383 |
+
"eval_loss": 1.0123510360717773,
|
384 |
+
"eval_runtime": 49.4838,
|
385 |
+
"eval_samples_per_second": 606.542,
|
386 |
+
"eval_steps_per_second": 1.192,
|
387 |
"step": 360
|
388 |
},
|
389 |
{
|
390 |
+
"epoch": 1.11,
|
391 |
"learning_rate": 1.85e-05,
|
392 |
+
"loss": 0.9413,
|
393 |
"step": 370
|
394 |
},
|
395 |
{
|
396 |
+
"epoch": 1.14,
|
397 |
"learning_rate": 1.9e-05,
|
398 |
+
"loss": 0.8441,
|
399 |
+
"step": 380
|
400 |
+
},
|
401 |
+
{
|
402 |
+
"epoch": 1.14,
|
403 |
+
"eval_accuracy": 0.6488638635303525,
|
404 |
+
"eval_loss": 0.791083574295044,
|
405 |
+
"eval_runtime": 49.4701,
|
406 |
+
"eval_samples_per_second": 606.71,
|
407 |
+
"eval_steps_per_second": 1.193,
|
408 |
"step": 380
|
409 |
},
|
410 |
{
|
411 |
+
"epoch": 1.17,
|
412 |
"learning_rate": 1.95e-05,
|
413 |
+
"loss": 0.8223,
|
414 |
"step": 390
|
415 |
},
|
416 |
{
|
417 |
+
"epoch": 1.2,
|
418 |
"learning_rate": 2e-05,
|
419 |
+
"loss": 0.8226,
|
420 |
"step": 400
|
421 |
},
|
422 |
{
|
423 |
+
"epoch": 1.2,
|
424 |
+
"eval_accuracy": 0.6699873392416872,
|
425 |
+
"eval_loss": 0.7472424507141113,
|
426 |
+
"eval_runtime": 49.4938,
|
427 |
+
"eval_samples_per_second": 606.419,
|
428 |
+
"eval_steps_per_second": 1.192,
|
429 |
"step": 400
|
430 |
},
|
431 |
{
|
432 |
+
"epoch": 1.23,
|
433 |
"learning_rate": 2.05e-05,
|
434 |
+
"loss": 0.7924,
|
435 |
"step": 410
|
436 |
},
|
437 |
{
|
438 |
+
"epoch": 1.26,
|
439 |
"learning_rate": 2.1000000000000002e-05,
|
440 |
+
"loss": 0.7948,
|
441 |
+
"step": 420
|
442 |
+
},
|
443 |
+
{
|
444 |
+
"epoch": 1.26,
|
445 |
+
"eval_accuracy": 0.6580595721996402,
|
446 |
+
"eval_loss": 0.7663838863372803,
|
447 |
+
"eval_runtime": 49.5064,
|
448 |
+
"eval_samples_per_second": 606.265,
|
449 |
+
"eval_steps_per_second": 1.192,
|
450 |
"step": 420
|
451 |
},
|
452 |
{
|
453 |
+
"epoch": 1.29,
|
454 |
"learning_rate": 2.1499999999999997e-05,
|
455 |
+
"loss": 0.776,
|
456 |
"step": 430
|
457 |
},
|
458 |
{
|
459 |
+
"epoch": 1.32,
|
460 |
"learning_rate": 2.2e-05,
|
461 |
+
"loss": 0.7428,
|
462 |
"step": 440
|
463 |
},
|
464 |
{
|
465 |
+
"epoch": 1.32,
|
466 |
+
"eval_accuracy": 0.6991737189311654,
|
467 |
+
"eval_loss": 0.6993714570999146,
|
468 |
+
"eval_runtime": 49.4888,
|
469 |
+
"eval_samples_per_second": 606.481,
|
470 |
+
"eval_steps_per_second": 1.192,
|
471 |
+
"step": 440
|
472 |
},
|
473 |
{
|
474 |
+
"epoch": 1.35,
|
475 |
+
"learning_rate": 2.2499999999999998e-05,
|
476 |
+
"loss": 0.7512,
|
|
|
|
|
|
|
477 |
"step": 450
|
478 |
},
|
479 |
{
|
480 |
+
"epoch": 1.38,
|
481 |
"learning_rate": 2.3e-05,
|
482 |
+
"loss": 0.7109,
|
483 |
+
"step": 460
|
484 |
+
},
|
485 |
+
{
|
486 |
+
"epoch": 1.38,
|
487 |
+
"eval_accuracy": 0.7283600986206437,
|
488 |
+
"eval_loss": 0.6510820984840393,
|
489 |
+
"eval_runtime": 49.5999,
|
490 |
+
"eval_samples_per_second": 605.122,
|
491 |
+
"eval_steps_per_second": 1.19,
|
492 |
"step": 460
|
493 |
},
|
494 |
{
|
495 |
+
"epoch": 1.41,
|
496 |
"learning_rate": 2.3500000000000002e-05,
|
497 |
+
"loss": 0.701,
|
498 |
"step": 470
|
499 |
},
|
500 |
{
|
501 |
+
"epoch": 1.44,
|
502 |
"learning_rate": 2.4e-05,
|
503 |
+
"loss": 0.6882,
|
504 |
"step": 480
|
505 |
},
|
506 |
{
|
507 |
+
"epoch": 1.44,
|
508 |
+
"eval_accuracy": 0.7576797494502565,
|
509 |
+
"eval_loss": 0.5987845063209534,
|
510 |
+
"eval_runtime": 49.5123,
|
511 |
+
"eval_samples_per_second": 606.192,
|
512 |
+
"eval_steps_per_second": 1.192,
|
513 |
+
"step": 480
|
514 |
+
},
|
515 |
+
{
|
516 |
+
"epoch": 1.47,
|
517 |
"learning_rate": 2.4500000000000003e-05,
|
518 |
+
"loss": 0.651,
|
519 |
"step": 490
|
520 |
},
|
521 |
{
|
522 |
+
"epoch": 1.5,
|
523 |
"learning_rate": 2.5e-05,
|
524 |
+
"loss": 0.7296,
|
525 |
"step": 500
|
526 |
},
|
527 |
{
|
528 |
+
"epoch": 1.5,
|
529 |
+
"eval_accuracy": 0.7564136736189778,
|
530 |
+
"eval_loss": 0.5992804765701294,
|
531 |
+
"eval_runtime": 49.5641,
|
532 |
+
"eval_samples_per_second": 605.56,
|
533 |
+
"eval_steps_per_second": 1.19,
|
534 |
"step": 500
|
535 |
}
|
536 |
],
|
537 |
"logging_steps": 10,
|
538 |
+
"max_steps": 996,
|
539 |
"num_train_epochs": 3,
|
540 |
+
"save_steps": 100,
|
541 |
+
"total_flos": 6.73549277766615e+16,
|
542 |
"trial_name": null,
|
543 |
"trial_params": null
|
544 |
}
|
checkpoint-500/training_args.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 4536
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:1f1be80ebe52f6e43af0b8aa087e72fad77310d5998b6e0b8f66a6a1d53be7b7
|
3 |
size 4536
|