Model save
Browse files- README.md +7 -12
- adapter_model.safetensors +1 -1
- all_results.json +9 -9
- eval_results.json +5 -5
- train_results.json +5 -5
- trainer_state.json +132 -314
README.md
CHANGED
@@ -2,13 +2,9 @@
|
|
2 |
license: other
|
3 |
library_name: peft
|
4 |
tags:
|
5 |
-
- alignment-handbook
|
6 |
-
- generated_from_trainer
|
7 |
- trl
|
8 |
- sft
|
9 |
- generated_from_trainer
|
10 |
-
datasets:
|
11 |
-
- ruozhiba
|
12 |
base_model: 01-ai/Yi-6B
|
13 |
model-index:
|
14 |
- name: Yi-6B-ruozhiba
|
@@ -20,9 +16,9 @@ should probably proofread and complete it, then remove this comment. -->
|
|
20 |
|
21 |
# Yi-6B-ruozhiba
|
22 |
|
23 |
-
This model is a fine-tuned version of [01-ai/Yi-6B](https://huggingface.co/01-ai/Yi-6B) on the
|
24 |
It achieves the following results on the evaluation set:
|
25 |
-
- Loss: 2.
|
26 |
|
27 |
## Model description
|
28 |
|
@@ -54,12 +50,11 @@ The following hyperparameters were used during training:
|
|
54 |
|
55 |
| Training Loss | Epoch | Step | Validation Loss |
|
56 |
|:-------------:|:-----:|:----:|:---------------:|
|
57 |
-
|
|
58 |
-
|
|
59 |
-
|
|
60 |
-
|
|
61 |
-
| 1.
|
62 |
-
| 1.8176 | 4.0 | 1608 | 2.4900 |
|
63 |
|
64 |
|
65 |
### Framework versions
|
|
|
2 |
license: other
|
3 |
library_name: peft
|
4 |
tags:
|
|
|
|
|
5 |
- trl
|
6 |
- sft
|
7 |
- generated_from_trainer
|
|
|
|
|
8 |
base_model: 01-ai/Yi-6B
|
9 |
model-index:
|
10 |
- name: Yi-6B-ruozhiba
|
|
|
16 |
|
17 |
# Yi-6B-ruozhiba
|
18 |
|
19 |
+
This model is a fine-tuned version of [01-ai/Yi-6B](https://huggingface.co/01-ai/Yi-6B) on the None dataset.
|
20 |
It achieves the following results on the evaluation set:
|
21 |
+
- Loss: 2.2082
|
22 |
|
23 |
## Model description
|
24 |
|
|
|
50 |
|
51 |
| Training Loss | Epoch | Step | Validation Loss |
|
52 |
|:-------------:|:-----:|:----:|:---------------:|
|
53 |
+
| 1.948 | 1.0 | 217 | 1.9488 |
|
54 |
+
| 1.7781 | 2.0 | 434 | 1.9393 |
|
55 |
+
| 1.4563 | 3.0 | 651 | 2.0187 |
|
56 |
+
| 1.3206 | 4.0 | 868 | 2.1767 |
|
57 |
+
| 1.1018 | 5.0 | 1085 | 2.2082 |
|
|
|
58 |
|
59 |
|
60 |
### Framework versions
|
adapter_model.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 72673912
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:ff29234f0bb30543464da6cc219166f299f4a42af925bef04b8a8aa2aa26d45c
|
3 |
size 72673912
|
all_results.json
CHANGED
@@ -1,13 +1,13 @@
|
|
1 |
{
|
2 |
-
"epoch": 0
|
3 |
-
"eval_loss": 2.
|
4 |
-
"eval_runtime":
|
5 |
"eval_samples": 23,
|
6 |
-
"eval_samples_per_second":
|
7 |
-
"eval_steps_per_second":
|
8 |
-
"train_loss":
|
9 |
-
"train_runtime":
|
10 |
"train_samples": 217,
|
11 |
-
"train_samples_per_second":
|
12 |
-
"train_steps_per_second":
|
13 |
}
|
|
|
1 |
{
|
2 |
+
"epoch": 5.0,
|
3 |
+
"eval_loss": 2.2082066535949707,
|
4 |
+
"eval_runtime": 2.7423,
|
5 |
"eval_samples": 23,
|
6 |
+
"eval_samples_per_second": 8.387,
|
7 |
+
"eval_steps_per_second": 8.387,
|
8 |
+
"train_loss": 1.4582410645375055,
|
9 |
+
"train_runtime": 606.5736,
|
10 |
"train_samples": 217,
|
11 |
+
"train_samples_per_second": 1.789,
|
12 |
+
"train_steps_per_second": 1.789
|
13 |
}
|
eval_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
-
"epoch": 0
|
3 |
-
"eval_loss": 2.
|
4 |
-
"eval_runtime":
|
5 |
"eval_samples": 23,
|
6 |
-
"eval_samples_per_second":
|
7 |
-
"eval_steps_per_second":
|
8 |
}
|
|
|
1 |
{
|
2 |
+
"epoch": 5.0,
|
3 |
+
"eval_loss": 2.2082066535949707,
|
4 |
+
"eval_runtime": 2.7423,
|
5 |
"eval_samples": 23,
|
6 |
+
"eval_samples_per_second": 8.387,
|
7 |
+
"eval_steps_per_second": 8.387
|
8 |
}
|
train_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
-
"epoch": 0
|
3 |
-
"train_loss":
|
4 |
-
"train_runtime":
|
5 |
"train_samples": 217,
|
6 |
-
"train_samples_per_second":
|
7 |
-
"train_steps_per_second":
|
8 |
}
|
|
|
1 |
{
|
2 |
+
"epoch": 5.0,
|
3 |
+
"train_loss": 1.4582410645375055,
|
4 |
+
"train_runtime": 606.5736,
|
5 |
"train_samples": 217,
|
6 |
+
"train_samples_per_second": 1.789,
|
7 |
+
"train_steps_per_second": 1.789
|
8 |
}
|
trainer_state.json
CHANGED
@@ -1,411 +1,229 @@
|
|
1 |
{
|
2 |
"best_metric": null,
|
3 |
"best_model_checkpoint": null,
|
4 |
-
"epoch": 0
|
5 |
"eval_steps": 500,
|
6 |
-
"global_step":
|
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":
|
14 |
-
"loss": 2.
|
15 |
"step": 1
|
16 |
},
|
17 |
{
|
18 |
-
"epoch":
|
19 |
-
"
|
20 |
-
"
|
21 |
-
"eval_samples_per_second": 3.263,
|
22 |
-
"eval_steps_per_second": 3.263,
|
23 |
-
"step": 19
|
24 |
-
},
|
25 |
-
{
|
26 |
-
"epoch": 2.0,
|
27 |
-
"eval_loss": 1.9877368211746216,
|
28 |
-
"eval_runtime": 0.6133,
|
29 |
-
"eval_samples_per_second": 3.261,
|
30 |
-
"eval_steps_per_second": 3.261,
|
31 |
-
"step": 38
|
32 |
-
},
|
33 |
-
{
|
34 |
-
"epoch": 2.11,
|
35 |
-
"learning_rate": 3.6143458894413465e-05,
|
36 |
-
"loss": 2.0718,
|
37 |
"step": 40
|
38 |
},
|
39 |
{
|
40 |
-
"epoch":
|
41 |
-
"
|
42 |
-
"
|
43 |
-
"eval_samples_per_second": 3.269,
|
44 |
-
"eval_steps_per_second": 3.269,
|
45 |
-
"step": 57
|
46 |
-
},
|
47 |
-
{
|
48 |
-
"epoch": 4.0,
|
49 |
-
"eval_loss": 1.9522112607955933,
|
50 |
-
"eval_runtime": 0.6123,
|
51 |
-
"eval_samples_per_second": 3.267,
|
52 |
-
"eval_steps_per_second": 3.267,
|
53 |
-
"step": 76
|
54 |
-
},
|
55 |
-
{
|
56 |
-
"epoch": 4.21,
|
57 |
-
"learning_rate": 3.7445716067596503e-06,
|
58 |
-
"loss": 1.826,
|
59 |
"step": 80
|
60 |
},
|
61 |
{
|
62 |
-
"epoch": 0.
|
63 |
-
"learning_rate":
|
64 |
-
"loss":
|
65 |
"step": 120
|
66 |
},
|
67 |
{
|
68 |
-
"epoch": 0.
|
69 |
-
"learning_rate":
|
70 |
-
"loss":
|
71 |
"step": 160
|
72 |
},
|
73 |
{
|
74 |
-
"epoch": 0.
|
75 |
-
"learning_rate":
|
76 |
-
"loss":
|
77 |
"step": 200
|
78 |
},
|
79 |
{
|
80 |
-
"epoch": 0
|
81 |
-
"
|
82 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
83 |
"step": 240
|
84 |
},
|
85 |
{
|
86 |
-
"epoch":
|
87 |
-
"learning_rate":
|
88 |
-
"loss":
|
89 |
"step": 280
|
90 |
},
|
91 |
{
|
92 |
-
"epoch":
|
93 |
-
"learning_rate":
|
94 |
-
"loss":
|
95 |
"step": 320
|
96 |
},
|
97 |
{
|
98 |
-
"epoch":
|
99 |
-
"learning_rate":
|
100 |
-
"loss":
|
101 |
"step": 360
|
102 |
},
|
103 |
{
|
104 |
-
"epoch":
|
105 |
-
"learning_rate": 3.
|
106 |
-
"loss":
|
107 |
"step": 400
|
108 |
},
|
109 |
{
|
110 |
-
"epoch": 0
|
111 |
-
"
|
112 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
113 |
"step": 440
|
114 |
},
|
115 |
{
|
116 |
-
"epoch":
|
117 |
-
"learning_rate":
|
118 |
-
"loss":
|
119 |
"step": 480
|
120 |
},
|
121 |
{
|
122 |
-
"epoch":
|
123 |
-
"learning_rate":
|
124 |
-
"loss":
|
125 |
"step": 520
|
126 |
},
|
127 |
{
|
128 |
-
"epoch":
|
129 |
-
"learning_rate":
|
130 |
-
"loss":
|
131 |
"step": 560
|
132 |
},
|
133 |
{
|
134 |
-
"epoch":
|
135 |
-
"learning_rate":
|
136 |
-
"loss":
|
137 |
"step": 600
|
138 |
},
|
139 |
{
|
140 |
-
"epoch":
|
141 |
-
"learning_rate":
|
142 |
-
"loss":
|
143 |
"step": 640
|
144 |
},
|
145 |
{
|
146 |
-
"epoch": 0
|
147 |
-
"
|
148 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
149 |
"step": 680
|
150 |
},
|
151 |
{
|
152 |
-
"epoch":
|
153 |
-
"learning_rate":
|
154 |
-
"loss":
|
155 |
"step": 720
|
156 |
},
|
157 |
{
|
158 |
-
"epoch":
|
159 |
-
"learning_rate":
|
160 |
-
"loss":
|
161 |
"step": 760
|
162 |
},
|
163 |
{
|
164 |
-
"epoch":
|
165 |
-
"learning_rate":
|
166 |
-
"loss":
|
167 |
"step": 800
|
168 |
},
|
169 |
{
|
170 |
-
"epoch":
|
171 |
-
"learning_rate":
|
172 |
-
"loss":
|
173 |
"step": 840
|
174 |
},
|
175 |
{
|
176 |
-
"epoch":
|
177 |
-
"
|
178 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
179 |
"step": 880
|
180 |
},
|
181 |
{
|
182 |
-
"epoch":
|
183 |
-
"learning_rate": 3.
|
184 |
-
"loss":
|
185 |
"step": 920
|
186 |
},
|
187 |
{
|
188 |
-
"epoch":
|
189 |
-
"learning_rate":
|
190 |
-
"loss":
|
191 |
"step": 960
|
192 |
},
|
193 |
{
|
194 |
-
"epoch":
|
195 |
-
"learning_rate":
|
196 |
-
"loss":
|
197 |
"step": 1000
|
198 |
},
|
199 |
{
|
200 |
-
"epoch":
|
201 |
-
"learning_rate": 2.
|
202 |
-
"loss":
|
203 |
"step": 1040
|
204 |
},
|
205 |
-
{
|
206 |
-
"epoch": 2.69,
|
207 |
-
"learning_rate": 2.610675001223441e-05,
|
208 |
-
"loss": 2.0532,
|
209 |
-
"step": 1080
|
210 |
-
},
|
211 |
-
{
|
212 |
-
"epoch": 2.79,
|
213 |
-
"learning_rate": 2.4370532346360474e-05,
|
214 |
-
"loss": 2.1131,
|
215 |
-
"step": 1120
|
216 |
-
},
|
217 |
-
{
|
218 |
-
"epoch": 2.89,
|
219 |
-
"learning_rate": 2.2637350957309882e-05,
|
220 |
-
"loss": 2.0662,
|
221 |
-
"step": 1160
|
222 |
-
},
|
223 |
-
{
|
224 |
-
"epoch": 2.99,
|
225 |
-
"learning_rate": 2.0915565954536744e-05,
|
226 |
-
"loss": 1.9638,
|
227 |
-
"step": 1200
|
228 |
-
},
|
229 |
-
{
|
230 |
-
"epoch": 3.0,
|
231 |
-
"eval_loss": 2.4228010177612305,
|
232 |
-
"eval_runtime": 5.1555,
|
233 |
-
"eval_samples_per_second": 9.116,
|
234 |
-
"eval_steps_per_second": 9.116,
|
235 |
-
"step": 1206
|
236 |
-
},
|
237 |
-
{
|
238 |
-
"epoch": 3.08,
|
239 |
-
"learning_rate": 1.9213482476309065e-05,
|
240 |
-
"loss": 1.8999,
|
241 |
-
"step": 1240
|
242 |
-
},
|
243 |
-
{
|
244 |
-
"epoch": 3.18,
|
245 |
-
"learning_rate": 1.7539310629351915e-05,
|
246 |
-
"loss": 1.8828,
|
247 |
-
"step": 1280
|
248 |
-
},
|
249 |
-
{
|
250 |
-
"epoch": 3.28,
|
251 |
-
"learning_rate": 1.5901125886881146e-05,
|
252 |
-
"loss": 1.7305,
|
253 |
-
"step": 1320
|
254 |
-
},
|
255 |
-
{
|
256 |
-
"epoch": 3.38,
|
257 |
-
"learning_rate": 1.430683013605043e-05,
|
258 |
-
"loss": 1.8129,
|
259 |
-
"step": 1360
|
260 |
-
},
|
261 |
-
{
|
262 |
-
"epoch": 3.48,
|
263 |
-
"learning_rate": 1.276411356270143e-05,
|
264 |
-
"loss": 1.9584,
|
265 |
-
"step": 1400
|
266 |
-
},
|
267 |
-
{
|
268 |
-
"epoch": 3.58,
|
269 |
-
"learning_rate": 1.1280417557268735e-05,
|
270 |
-
"loss": 1.8074,
|
271 |
-
"step": 1440
|
272 |
-
},
|
273 |
-
{
|
274 |
-
"epoch": 3.68,
|
275 |
-
"learning_rate": 9.862898820764927e-06,
|
276 |
-
"loss": 1.7996,
|
277 |
-
"step": 1480
|
278 |
-
},
|
279 |
-
{
|
280 |
-
"epoch": 3.78,
|
281 |
-
"learning_rate": 8.518394843983093e-06,
|
282 |
-
"loss": 1.8291,
|
283 |
-
"step": 1520
|
284 |
-
},
|
285 |
-
{
|
286 |
-
"epoch": 3.88,
|
287 |
-
"learning_rate": 7.253390926429918e-06,
|
288 |
-
"loss": 1.8193,
|
289 |
-
"step": 1560
|
290 |
-
},
|
291 |
-
{
|
292 |
-
"epoch": 3.98,
|
293 |
-
"learning_rate": 6.073988894075491e-06,
|
294 |
-
"loss": 1.8176,
|
295 |
-
"step": 1600
|
296 |
-
},
|
297 |
-
{
|
298 |
-
"epoch": 4.0,
|
299 |
-
"eval_loss": 2.489954948425293,
|
300 |
-
"eval_runtime": 5.1439,
|
301 |
-
"eval_samples_per_second": 9.137,
|
302 |
-
"eval_steps_per_second": 9.137,
|
303 |
-
"step": 1608
|
304 |
-
},
|
305 |
-
{
|
306 |
-
"epoch": 4.08,
|
307 |
-
"learning_rate": 4.985877666811953e-06,
|
308 |
-
"loss": 1.7447,
|
309 |
-
"step": 1640
|
310 |
-
},
|
311 |
-
{
|
312 |
-
"epoch": 4.18,
|
313 |
-
"learning_rate": 3.994305817590549e-06,
|
314 |
-
"loss": 1.8169,
|
315 |
-
"step": 1680
|
316 |
-
},
|
317 |
-
{
|
318 |
-
"epoch": 4.28,
|
319 |
-
"learning_rate": 3.1040562555998216e-06,
|
320 |
-
"loss": 1.7304,
|
321 |
-
"step": 1720
|
322 |
-
},
|
323 |
-
{
|
324 |
-
"epoch": 4.38,
|
325 |
-
"learning_rate": 2.3194231556022544e-06,
|
326 |
-
"loss": 1.6802,
|
327 |
-
"step": 1760
|
328 |
-
},
|
329 |
-
{
|
330 |
-
"epoch": 4.48,
|
331 |
-
"learning_rate": 1.644191244712251e-06,
|
332 |
-
"loss": 1.762,
|
333 |
-
"step": 1800
|
334 |
-
},
|
335 |
-
{
|
336 |
-
"epoch": 4.58,
|
337 |
-
"learning_rate": 1.0816175465267586e-06,
|
338 |
-
"loss": 1.6769,
|
339 |
-
"step": 1840
|
340 |
-
},
|
341 |
-
{
|
342 |
-
"epoch": 4.68,
|
343 |
-
"learning_rate": 6.344156706670989e-07,
|
344 |
-
"loss": 1.6643,
|
345 |
-
"step": 1880
|
346 |
-
},
|
347 |
-
{
|
348 |
-
"epoch": 4.78,
|
349 |
-
"learning_rate": 3.047427235122663e-07,
|
350 |
-
"loss": 1.7539,
|
351 |
-
"step": 1920
|
352 |
-
},
|
353 |
-
{
|
354 |
-
"epoch": 4.88,
|
355 |
-
"learning_rate": 9.418890326059748e-08,
|
356 |
-
"loss": 1.7693,
|
357 |
-
"step": 1960
|
358 |
-
},
|
359 |
{
|
360 |
"epoch": 4.98,
|
361 |
-
"learning_rate": 3.
|
362 |
-
"loss": 1.
|
363 |
-
"step":
|
364 |
-
},
|
365 |
-
{
|
366 |
-
"epoch": 0.51,
|
367 |
-
"learning_rate": 4.999974616484595e-05,
|
368 |
-
"loss": 3.4729,
|
369 |
-
"step": 2040
|
370 |
-
},
|
371 |
-
{
|
372 |
-
"epoch": 0.52,
|
373 |
-
"learning_rate": 4.99983643554066e-05,
|
374 |
-
"loss": 3.8916,
|
375 |
-
"step": 2080
|
376 |
-
},
|
377 |
-
{
|
378 |
-
"epoch": 0.53,
|
379 |
-
"learning_rate": 4.999578104083307e-05,
|
380 |
-
"loss": 3.7239,
|
381 |
-
"step": 2120
|
382 |
-
},
|
383 |
-
{
|
384 |
-
"epoch": 0.54,
|
385 |
-
"learning_rate": 4.9991996345288116e-05,
|
386 |
-
"loss": 3.8084,
|
387 |
-
"step": 2160
|
388 |
-
},
|
389 |
-
{
|
390 |
-
"epoch": 0.55,
|
391 |
-
"learning_rate": 4.9987010450676885e-05,
|
392 |
-
"loss": 3.2992,
|
393 |
-
"step": 2200
|
394 |
},
|
395 |
{
|
396 |
-
"epoch": 0
|
397 |
-
"
|
398 |
-
"
|
399 |
-
"
|
|
|
|
|
400 |
},
|
401 |
{
|
402 |
-
"epoch": 0
|
403 |
-
"step":
|
404 |
-
"total_flos":
|
405 |
-
"train_loss":
|
406 |
-
"train_runtime":
|
407 |
-
"train_samples_per_second":
|
408 |
-
"train_steps_per_second":
|
409 |
}
|
410 |
],
|
411 |
"logging_steps": 40,
|
@@ -413,7 +231,7 @@
|
|
413 |
"num_input_tokens_seen": 0,
|
414 |
"num_train_epochs": 5,
|
415 |
"save_steps": 20,
|
416 |
-
"total_flos":
|
417 |
"train_batch_size": 1,
|
418 |
"trial_name": null,
|
419 |
"trial_params": null
|
|
|
1 |
{
|
2 |
"best_metric": null,
|
3 |
"best_model_checkpoint": null,
|
4 |
+
"epoch": 5.0,
|
5 |
"eval_steps": 500,
|
6 |
+
"global_step": 1085,
|
7 |
"is_hyper_param_search": false,
|
8 |
"is_local_process_zero": true,
|
9 |
"is_world_process_zero": true,
|
10 |
"log_history": [
|
11 |
{
|
12 |
+
"epoch": 0.0,
|
13 |
+
"learning_rate": 4.587155963302753e-07,
|
14 |
+
"loss": 2.9047,
|
15 |
"step": 1
|
16 |
},
|
17 |
{
|
18 |
+
"epoch": 0.18,
|
19 |
+
"learning_rate": 1.834862385321101e-05,
|
20 |
+
"loss": 2.6449,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
21 |
"step": 40
|
22 |
},
|
23 |
{
|
24 |
+
"epoch": 0.37,
|
25 |
+
"learning_rate": 3.669724770642202e-05,
|
26 |
+
"loss": 2.2297,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
27 |
"step": 80
|
28 |
},
|
29 |
{
|
30 |
+
"epoch": 0.55,
|
31 |
+
"learning_rate": 4.998433068104634e-05,
|
32 |
+
"loss": 2.0343,
|
33 |
"step": 120
|
34 |
},
|
35 |
{
|
36 |
+
"epoch": 0.74,
|
37 |
+
"learning_rate": 4.9663895022434335e-05,
|
38 |
+
"loss": 1.9288,
|
39 |
"step": 160
|
40 |
},
|
41 |
{
|
42 |
+
"epoch": 0.92,
|
43 |
+
"learning_rate": 4.893515717147499e-05,
|
44 |
+
"loss": 1.948,
|
45 |
"step": 200
|
46 |
},
|
47 |
{
|
48 |
+
"epoch": 1.0,
|
49 |
+
"eval_loss": 1.9487614631652832,
|
50 |
+
"eval_runtime": 2.7263,
|
51 |
+
"eval_samples_per_second": 8.436,
|
52 |
+
"eval_steps_per_second": 8.436,
|
53 |
+
"step": 217
|
54 |
+
},
|
55 |
+
{
|
56 |
+
"epoch": 1.11,
|
57 |
+
"learning_rate": 4.7810181129491795e-05,
|
58 |
+
"loss": 1.9046,
|
59 |
"step": 240
|
60 |
},
|
61 |
{
|
62 |
+
"epoch": 1.29,
|
63 |
+
"learning_rate": 4.630759048306189e-05,
|
64 |
+
"loss": 1.8033,
|
65 |
"step": 280
|
66 |
},
|
67 |
{
|
68 |
+
"epoch": 1.47,
|
69 |
+
"learning_rate": 4.4452260097026376e-05,
|
70 |
+
"loss": 1.7401,
|
71 |
"step": 320
|
72 |
},
|
73 |
{
|
74 |
+
"epoch": 1.66,
|
75 |
+
"learning_rate": 4.227490431976606e-05,
|
76 |
+
"loss": 1.8471,
|
77 |
"step": 360
|
78 |
},
|
79 |
{
|
80 |
+
"epoch": 1.84,
|
81 |
+
"learning_rate": 3.981156851786102e-05,
|
82 |
+
"loss": 1.7781,
|
83 |
"step": 400
|
84 |
},
|
85 |
{
|
86 |
+
"epoch": 2.0,
|
87 |
+
"eval_loss": 1.9392595291137695,
|
88 |
+
"eval_runtime": 2.7235,
|
89 |
+
"eval_samples_per_second": 8.445,
|
90 |
+
"eval_steps_per_second": 8.445,
|
91 |
+
"step": 434
|
92 |
+
},
|
93 |
+
{
|
94 |
+
"epoch": 2.03,
|
95 |
+
"learning_rate": 3.710303235760038e-05,
|
96 |
+
"loss": 1.6503,
|
97 |
"step": 440
|
98 |
},
|
99 |
{
|
100 |
+
"epoch": 2.21,
|
101 |
+
"learning_rate": 3.41941347118094e-05,
|
102 |
+
"loss": 1.5325,
|
103 |
"step": 480
|
104 |
},
|
105 |
{
|
106 |
+
"epoch": 2.4,
|
107 |
+
"learning_rate": 3.113303136792597e-05,
|
108 |
+
"loss": 1.4801,
|
109 |
"step": 520
|
110 |
},
|
111 |
{
|
112 |
+
"epoch": 2.58,
|
113 |
+
"learning_rate": 2.7970397825710876e-05,
|
114 |
+
"loss": 1.5216,
|
115 |
"step": 560
|
116 |
},
|
117 |
{
|
118 |
+
"epoch": 2.76,
|
119 |
+
"learning_rate": 2.4758590381998137e-05,
|
120 |
+
"loss": 1.426,
|
121 |
"step": 600
|
122 |
},
|
123 |
{
|
124 |
+
"epoch": 2.95,
|
125 |
+
"learning_rate": 2.1550779390435147e-05,
|
126 |
+
"loss": 1.4563,
|
127 |
"step": 640
|
128 |
},
|
129 |
{
|
130 |
+
"epoch": 3.0,
|
131 |
+
"eval_loss": 2.018707036972046,
|
132 |
+
"eval_runtime": 2.7309,
|
133 |
+
"eval_samples_per_second": 8.422,
|
134 |
+
"eval_steps_per_second": 8.422,
|
135 |
+
"step": 651
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 3.13,
|
139 |
+
"learning_rate": 1.840006904479584e-05,
|
140 |
+
"loss": 1.2741,
|
141 |
"step": 680
|
142 |
},
|
143 |
{
|
144 |
+
"epoch": 3.32,
|
145 |
+
"learning_rate": 1.5358618257547464e-05,
|
146 |
+
"loss": 1.1991,
|
147 |
"step": 720
|
148 |
},
|
149 |
{
|
150 |
+
"epoch": 3.5,
|
151 |
+
"learning_rate": 1.2476777187220119e-05,
|
152 |
+
"loss": 1.2377,
|
153 |
"step": 760
|
154 |
},
|
155 |
{
|
156 |
+
"epoch": 3.69,
|
157 |
+
"learning_rate": 9.802253709067949e-06,
|
158 |
+
"loss": 1.2592,
|
159 |
"step": 800
|
160 |
},
|
161 |
{
|
162 |
+
"epoch": 3.87,
|
163 |
+
"learning_rate": 7.3793236278095755e-06,
|
164 |
+
"loss": 1.3206,
|
165 |
"step": 840
|
166 |
},
|
167 |
{
|
168 |
+
"epoch": 4.0,
|
169 |
+
"eval_loss": 2.17669677734375,
|
170 |
+
"eval_runtime": 2.7315,
|
171 |
+
"eval_samples_per_second": 8.42,
|
172 |
+
"eval_steps_per_second": 8.42,
|
173 |
+
"step": 868
|
174 |
+
},
|
175 |
+
{
|
176 |
+
"epoch": 4.06,
|
177 |
+
"learning_rate": 5.248097707101035e-06,
|
178 |
+
"loss": 1.1614,
|
179 |
"step": 880
|
180 |
},
|
181 |
{
|
182 |
+
"epoch": 4.24,
|
183 |
+
"learning_rate": 3.443857649812915e-06,
|
184 |
+
"loss": 1.1929,
|
185 |
"step": 920
|
186 |
},
|
187 |
{
|
188 |
+
"epoch": 4.42,
|
189 |
+
"learning_rate": 1.9964720217269558e-06,
|
190 |
+
"loss": 1.0971,
|
191 |
"step": 960
|
192 |
},
|
193 |
{
|
194 |
+
"epoch": 4.61,
|
195 |
+
"learning_rate": 9.299017878319383e-07,
|
196 |
+
"loss": 1.091,
|
197 |
"step": 1000
|
198 |
},
|
199 |
{
|
200 |
+
"epoch": 4.79,
|
201 |
+
"learning_rate": 2.6180364689323554e-07,
|
202 |
+
"loss": 1.1938,
|
203 |
"step": 1040
|
204 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
205 |
{
|
206 |
"epoch": 4.98,
|
207 |
+
"learning_rate": 3.237730954069873e-09,
|
208 |
+
"loss": 1.1018,
|
209 |
+
"step": 1080
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
210 |
},
|
211 |
{
|
212 |
+
"epoch": 5.0,
|
213 |
+
"eval_loss": 2.2082066535949707,
|
214 |
+
"eval_runtime": 2.7308,
|
215 |
+
"eval_samples_per_second": 8.422,
|
216 |
+
"eval_steps_per_second": 8.422,
|
217 |
+
"step": 1085
|
218 |
},
|
219 |
{
|
220 |
+
"epoch": 5.0,
|
221 |
+
"step": 1085,
|
222 |
+
"total_flos": 6971428308910080.0,
|
223 |
+
"train_loss": 1.4582410645375055,
|
224 |
+
"train_runtime": 606.5736,
|
225 |
+
"train_samples_per_second": 1.789,
|
226 |
+
"train_steps_per_second": 1.789
|
227 |
}
|
228 |
],
|
229 |
"logging_steps": 40,
|
|
|
231 |
"num_input_tokens_seen": 0,
|
232 |
"num_train_epochs": 5,
|
233 |
"save_steps": 20,
|
234 |
+
"total_flos": 6971428308910080.0,
|
235 |
"train_batch_size": 1,
|
236 |
"trial_name": null,
|
237 |
"trial_params": null
|