Model save
Browse files- README.md +2 -4
- all_results.json +5 -5
- config.json +1 -1
- model.safetensors +1 -1
- train_results.json +5 -5
- trainer_state.json +858 -295
- training_args.bin +1 -1
README.md
CHANGED
@@ -1,11 +1,9 @@
|
|
1 |
---
|
2 |
base_model: Qwen/Qwen2.5-1.5B-Instruct
|
3 |
-
datasets: HuggingFaceH4/Bespoke-Stratos-17k
|
4 |
library_name: transformers
|
5 |
model_name: Qwen2.5-1.5B-Open-R1-Distill
|
6 |
tags:
|
7 |
- generated_from_trainer
|
8 |
-
- open-r1
|
9 |
- trl
|
10 |
- sft
|
11 |
licence: license
|
@@ -13,7 +11,7 @@ licence: license
|
|
13 |
|
14 |
# Model Card for Qwen2.5-1.5B-Open-R1-Distill
|
15 |
|
16 |
-
This model is a fine-tuned version of [Qwen/Qwen2.5-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct)
|
17 |
It has been trained using [TRL](https://github.com/huggingface/trl).
|
18 |
|
19 |
## Quick start
|
@@ -29,7 +27,7 @@ print(output["generated_text"])
|
|
29 |
|
30 |
## Training procedure
|
31 |
|
32 |
-
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/chenran1995-the-chinese-university-of-hong-kong/huggingface/runs/
|
33 |
|
34 |
|
35 |
This model was trained with SFT.
|
|
|
1 |
---
|
2 |
base_model: Qwen/Qwen2.5-1.5B-Instruct
|
|
|
3 |
library_name: transformers
|
4 |
model_name: Qwen2.5-1.5B-Open-R1-Distill
|
5 |
tags:
|
6 |
- generated_from_trainer
|
|
|
7 |
- trl
|
8 |
- sft
|
9 |
licence: license
|
|
|
11 |
|
12 |
# Model Card for Qwen2.5-1.5B-Open-R1-Distill
|
13 |
|
14 |
+
This model is a fine-tuned version of [Qwen/Qwen2.5-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct).
|
15 |
It has been trained using [TRL](https://github.com/huggingface/trl).
|
16 |
|
17 |
## Quick start
|
|
|
27 |
|
28 |
## Training procedure
|
29 |
|
30 |
+
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/chenran1995-the-chinese-university-of-hong-kong/huggingface/runs/xmvit3nk)
|
31 |
|
32 |
|
33 |
This model was trained with SFT.
|
all_results.json
CHANGED
@@ -4,10 +4,10 @@
|
|
4 |
"eval_samples": 100,
|
5 |
"eval_samples_per_second": 49.818,
|
6 |
"eval_steps_per_second": 3.476,
|
7 |
-
"total_flos":
|
8 |
-
"train_loss": 0.
|
9 |
-
"train_runtime":
|
10 |
"train_samples": 16610,
|
11 |
-
"train_samples_per_second":
|
12 |
-
"train_steps_per_second": 0.
|
13 |
}
|
|
|
4 |
"eval_samples": 100,
|
5 |
"eval_samples_per_second": 49.818,
|
6 |
"eval_steps_per_second": 3.476,
|
7 |
+
"total_flos": 153548771819520.0,
|
8 |
+
"train_loss": 0.7361217298564289,
|
9 |
+
"train_runtime": 2538.6324,
|
10 |
"train_samples": 16610,
|
11 |
+
"train_samples_per_second": 17.035,
|
12 |
+
"train_steps_per_second": 0.265
|
13 |
}
|
config.json
CHANGED
@@ -23,7 +23,7 @@
|
|
23 |
"tie_word_embeddings": true,
|
24 |
"torch_dtype": "bfloat16",
|
25 |
"transformers_version": "4.49.0.dev0",
|
26 |
-
"use_cache":
|
27 |
"use_sliding_window": false,
|
28 |
"vocab_size": 151936
|
29 |
}
|
|
|
23 |
"tie_word_embeddings": true,
|
24 |
"torch_dtype": "bfloat16",
|
25 |
"transformers_version": "4.49.0.dev0",
|
26 |
+
"use_cache": false,
|
27 |
"use_sliding_window": false,
|
28 |
"vocab_size": 151936
|
29 |
}
|
model.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 3087467144
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:1d3a12a071bc2dcbf5bd05f3e9b5f35e36b7a874364f40495f29e481d8b4b5d8
|
3 |
size 3087467144
|
train_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
-
"total_flos":
|
3 |
-
"train_loss": 0.
|
4 |
-
"train_runtime":
|
5 |
"train_samples": 16610,
|
6 |
-
"train_samples_per_second":
|
7 |
-
"train_steps_per_second": 0.
|
8 |
}
|
|
|
1 |
{
|
2 |
+
"total_flos": 153548771819520.0,
|
3 |
+
"train_loss": 0.7361217298564289,
|
4 |
+
"train_runtime": 2538.6324,
|
5 |
"train_samples": 16610,
|
6 |
+
"train_samples_per_second": 17.035,
|
7 |
+
"train_steps_per_second": 0.265
|
8 |
}
|
trainer_state.json
CHANGED
@@ -1,591 +1,1154 @@
|
|
1 |
{
|
2 |
"best_metric": null,
|
3 |
"best_model_checkpoint": null,
|
4 |
-
"epoch":
|
5 |
"eval_steps": 100,
|
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": 0.014798372179060304,
|
13 |
-
"grad_norm": 2.
|
14 |
-
"learning_rate":
|
15 |
-
"loss": 1.
|
16 |
-
"mean_token_accuracy": 0.
|
17 |
"step": 5
|
18 |
},
|
19 |
{
|
20 |
"epoch": 0.029596744358120607,
|
21 |
-
"grad_norm": 1.
|
22 |
-
"learning_rate":
|
23 |
-
"loss": 1.
|
24 |
-
"mean_token_accuracy": 0.
|
25 |
"step": 10
|
26 |
},
|
27 |
{
|
28 |
"epoch": 0.04439511653718091,
|
29 |
-
"grad_norm": 1.
|
30 |
-
"learning_rate":
|
31 |
-
"loss":
|
32 |
-
"mean_token_accuracy": 0.
|
33 |
"step": 15
|
34 |
},
|
35 |
{
|
36 |
"epoch": 0.059193488716241215,
|
37 |
-
"grad_norm":
|
38 |
-
"learning_rate":
|
39 |
-
"loss":
|
40 |
-
"mean_token_accuracy": 0.
|
41 |
"step": 20
|
42 |
},
|
43 |
{
|
44 |
"epoch": 0.07399186089530152,
|
45 |
-
"grad_norm": 0.
|
46 |
-
"learning_rate":
|
47 |
-
"loss": 0.
|
48 |
-
"mean_token_accuracy": 0.
|
49 |
"step": 25
|
50 |
},
|
51 |
{
|
52 |
"epoch": 0.08879023307436182,
|
53 |
-
"grad_norm": 0.
|
54 |
-
"learning_rate":
|
55 |
-
"loss": 0.
|
56 |
-
"mean_token_accuracy": 0.
|
57 |
"step": 30
|
58 |
},
|
59 |
{
|
60 |
"epoch": 0.10358860525342212,
|
61 |
-
"grad_norm": 0.
|
62 |
-
"learning_rate": 1.
|
63 |
-
"loss": 0.
|
64 |
-
"mean_token_accuracy": 0.
|
65 |
"step": 35
|
66 |
},
|
67 |
{
|
68 |
"epoch": 0.11838697743248243,
|
69 |
-
"grad_norm": 0.
|
70 |
-
"learning_rate": 1.
|
71 |
-
"loss": 0.
|
72 |
-
"mean_token_accuracy": 0.
|
73 |
"step": 40
|
74 |
},
|
75 |
{
|
76 |
"epoch": 0.13318534961154274,
|
77 |
-
"grad_norm": 0.
|
78 |
-
"learning_rate": 1.
|
79 |
-
"loss": 0.
|
80 |
-
"mean_token_accuracy": 0.
|
81 |
"step": 45
|
82 |
},
|
83 |
{
|
84 |
"epoch": 0.14798372179060304,
|
85 |
-
"grad_norm": 0.
|
86 |
-
"learning_rate": 1.
|
87 |
-
"loss": 0.
|
88 |
-
"mean_token_accuracy": 0.
|
89 |
"step": 50
|
90 |
},
|
91 |
{
|
92 |
"epoch": 0.16278209396966334,
|
93 |
-
"grad_norm": 0.
|
94 |
-
"learning_rate": 1.
|
95 |
-
"loss": 0.
|
96 |
-
"mean_token_accuracy": 0.
|
97 |
"step": 55
|
98 |
},
|
99 |
{
|
100 |
"epoch": 0.17758046614872364,
|
101 |
-
"grad_norm": 0.
|
102 |
-
"learning_rate": 1.
|
103 |
-
"loss": 0.
|
104 |
-
"mean_token_accuracy": 0.
|
105 |
"step": 60
|
106 |
},
|
107 |
{
|
108 |
"epoch": 0.19237883832778394,
|
109 |
-
"grad_norm": 0.
|
110 |
-
"learning_rate": 1.
|
111 |
-
"loss": 0.
|
112 |
-
"mean_token_accuracy": 0.
|
113 |
"step": 65
|
114 |
},
|
115 |
{
|
116 |
"epoch": 0.20717721050684423,
|
117 |
-
"grad_norm": 0.
|
118 |
-
"learning_rate": 1.
|
119 |
-
"loss": 0.
|
120 |
-
"mean_token_accuracy": 0.
|
121 |
"step": 70
|
122 |
},
|
123 |
{
|
124 |
"epoch": 0.22197558268590456,
|
125 |
-
"grad_norm": 0.
|
126 |
-
"learning_rate": 1.
|
127 |
-
"loss": 0.
|
128 |
-
"mean_token_accuracy": 0.
|
129 |
"step": 75
|
130 |
},
|
131 |
{
|
132 |
"epoch": 0.23677395486496486,
|
133 |
-
"grad_norm": 0.
|
134 |
-
"learning_rate": 1.
|
135 |
-
"loss": 0.
|
136 |
-
"mean_token_accuracy": 0.
|
137 |
"step": 80
|
138 |
},
|
139 |
{
|
140 |
"epoch": 0.25157232704402516,
|
141 |
-
"grad_norm": 0.
|
142 |
-
"learning_rate": 1.
|
143 |
-
"loss": 0.
|
144 |
-
"mean_token_accuracy": 0.
|
145 |
"step": 85
|
146 |
},
|
147 |
{
|
148 |
"epoch": 0.2663706992230855,
|
149 |
-
"grad_norm": 0.
|
150 |
-
"learning_rate": 1.
|
151 |
-
"loss": 0.
|
152 |
-
"mean_token_accuracy": 0.
|
153 |
"step": 90
|
154 |
},
|
155 |
{
|
156 |
"epoch": 0.28116907140214575,
|
157 |
-
"grad_norm": 0.
|
158 |
-
"learning_rate": 1.
|
159 |
-
"loss": 0.
|
160 |
-
"mean_token_accuracy": 0.
|
161 |
"step": 95
|
162 |
},
|
163 |
{
|
164 |
"epoch": 0.2959674435812061,
|
165 |
-
"grad_norm": 0.
|
166 |
-
"learning_rate": 1.
|
167 |
-
"loss": 0.
|
168 |
-
"mean_token_accuracy": 0.
|
169 |
"step": 100
|
170 |
},
|
171 |
{
|
172 |
"epoch": 0.2959674435812061,
|
173 |
-
"eval_loss": 0.
|
174 |
-
"eval_mean_token_accuracy": 0.
|
175 |
-
"eval_runtime": 2.
|
176 |
-
"eval_samples_per_second":
|
177 |
-
"eval_steps_per_second": 3.
|
178 |
"step": 100
|
179 |
},
|
180 |
{
|
181 |
"epoch": 0.31076581576026635,
|
182 |
-
"grad_norm": 0.
|
183 |
-
"learning_rate": 1.
|
184 |
-
"loss": 0.
|
185 |
-
"mean_token_accuracy": 0.
|
186 |
"step": 105
|
187 |
},
|
188 |
{
|
189 |
"epoch": 0.3255641879393267,
|
190 |
-
"grad_norm": 0.
|
191 |
-
"learning_rate": 1.
|
192 |
-
"loss": 0.
|
193 |
-
"mean_token_accuracy": 0.
|
194 |
"step": 110
|
195 |
},
|
196 |
{
|
197 |
"epoch": 0.340362560118387,
|
198 |
-
"grad_norm": 0.
|
199 |
-
"learning_rate": 1.
|
200 |
-
"loss": 0.
|
201 |
-
"mean_token_accuracy": 0.
|
202 |
"step": 115
|
203 |
},
|
204 |
{
|
205 |
"epoch": 0.3551609322974473,
|
206 |
-
"grad_norm": 0.
|
207 |
-
"learning_rate": 1.
|
208 |
-
"loss": 0.
|
209 |
-
"mean_token_accuracy": 0.
|
210 |
"step": 120
|
211 |
},
|
212 |
{
|
213 |
"epoch": 0.3699593044765076,
|
214 |
-
"grad_norm": 0.
|
215 |
-
"learning_rate": 1.
|
216 |
-
"loss": 0.
|
217 |
-
"mean_token_accuracy": 0.
|
218 |
"step": 125
|
219 |
},
|
220 |
{
|
221 |
"epoch": 0.38475767665556787,
|
222 |
-
"grad_norm": 0.
|
223 |
-
"learning_rate": 1.
|
224 |
-
"loss": 0.
|
225 |
-
"mean_token_accuracy": 0.
|
226 |
"step": 130
|
227 |
},
|
228 |
{
|
229 |
"epoch": 0.3995560488346282,
|
230 |
-
"grad_norm": 0.
|
231 |
-
"learning_rate": 1.
|
232 |
-
"loss": 0.
|
233 |
-
"mean_token_accuracy": 0.
|
234 |
"step": 135
|
235 |
},
|
236 |
{
|
237 |
"epoch": 0.41435442101368847,
|
238 |
-
"grad_norm": 0.
|
239 |
-
"learning_rate": 1.
|
240 |
-
"loss": 0.
|
241 |
-
"mean_token_accuracy": 0.
|
242 |
"step": 140
|
243 |
},
|
244 |
{
|
245 |
"epoch": 0.4291527931927488,
|
246 |
-
"grad_norm": 0.
|
247 |
-
"learning_rate": 1.
|
248 |
-
"loss": 0.
|
249 |
-
"mean_token_accuracy": 0.
|
250 |
"step": 145
|
251 |
},
|
252 |
{
|
253 |
"epoch": 0.4439511653718091,
|
254 |
-
"grad_norm": 0.
|
255 |
-
"learning_rate": 1.
|
256 |
-
"loss": 0.
|
257 |
-
"mean_token_accuracy": 0.
|
258 |
"step": 150
|
259 |
},
|
260 |
{
|
261 |
"epoch": 0.4587495375508694,
|
262 |
-
"grad_norm": 0.
|
263 |
-
"learning_rate": 1.
|
264 |
-
"loss": 0.
|
265 |
-
"mean_token_accuracy": 0.
|
266 |
"step": 155
|
267 |
},
|
268 |
{
|
269 |
"epoch": 0.4735479097299297,
|
270 |
-
"grad_norm": 0.
|
271 |
-
"learning_rate": 1.
|
272 |
-
"loss": 0.
|
273 |
-
"mean_token_accuracy": 0.
|
274 |
"step": 160
|
275 |
},
|
276 |
{
|
277 |
"epoch": 0.48834628190899,
|
278 |
-
"grad_norm": 0.
|
279 |
-
"learning_rate": 1.
|
280 |
-
"loss": 0.
|
281 |
-
"mean_token_accuracy": 0.
|
282 |
"step": 165
|
283 |
},
|
284 |
{
|
285 |
"epoch": 0.5031446540880503,
|
286 |
-
"grad_norm": 0.
|
287 |
-
"learning_rate": 1.
|
288 |
-
"loss": 0.
|
289 |
-
"mean_token_accuracy": 0.
|
290 |
"step": 170
|
291 |
},
|
292 |
{
|
293 |
"epoch": 0.5179430262671106,
|
294 |
-
"grad_norm": 0.
|
295 |
-
"learning_rate": 1.
|
296 |
-
"loss": 0.
|
297 |
-
"mean_token_accuracy": 0.
|
298 |
"step": 175
|
299 |
},
|
300 |
{
|
301 |
"epoch": 0.532741398446171,
|
302 |
-
"grad_norm": 0.
|
303 |
-
"learning_rate": 1.
|
304 |
-
"loss": 0.
|
305 |
-
"mean_token_accuracy": 0.
|
306 |
"step": 180
|
307 |
},
|
308 |
{
|
309 |
"epoch": 0.5475397706252312,
|
310 |
-
"grad_norm": 0.
|
311 |
-
"learning_rate": 1.
|
312 |
-
"loss": 0.
|
313 |
-
"mean_token_accuracy": 0.
|
314 |
"step": 185
|
315 |
},
|
316 |
{
|
317 |
"epoch": 0.5623381428042915,
|
318 |
-
"grad_norm": 0.
|
319 |
-
"learning_rate":
|
320 |
-
"loss": 0.
|
321 |
-
"mean_token_accuracy": 0.
|
322 |
"step": 190
|
323 |
},
|
324 |
{
|
325 |
"epoch": 0.5771365149833518,
|
326 |
-
"grad_norm": 0.
|
327 |
-
"learning_rate":
|
328 |
-
"loss": 0.
|
329 |
-
"mean_token_accuracy": 0.
|
330 |
"step": 195
|
331 |
},
|
332 |
{
|
333 |
"epoch": 0.5919348871624122,
|
334 |
-
"grad_norm": 0.
|
335 |
-
"learning_rate":
|
336 |
-
"loss": 0.
|
337 |
-
"mean_token_accuracy": 0.
|
338 |
"step": 200
|
339 |
},
|
340 |
{
|
341 |
"epoch": 0.5919348871624122,
|
342 |
-
"eval_loss": 0.
|
343 |
-
"eval_mean_token_accuracy": 0.
|
344 |
-
"eval_runtime": 2.
|
345 |
-
"eval_samples_per_second":
|
346 |
-
"eval_steps_per_second": 3.
|
347 |
"step": 200
|
348 |
},
|
349 |
{
|
350 |
"epoch": 0.6067332593414725,
|
351 |
-
"grad_norm": 0.
|
352 |
-
"learning_rate":
|
353 |
-
"loss": 0.
|
354 |
-
"mean_token_accuracy": 0.
|
355 |
"step": 205
|
356 |
},
|
357 |
{
|
358 |
"epoch": 0.6215316315205327,
|
359 |
-
"grad_norm": 0.
|
360 |
-
"learning_rate":
|
361 |
-
"loss": 0.
|
362 |
-
"mean_token_accuracy": 0.
|
363 |
"step": 210
|
364 |
},
|
365 |
{
|
366 |
"epoch": 0.636330003699593,
|
367 |
-
"grad_norm": 0.
|
368 |
-
"learning_rate":
|
369 |
-
"loss": 0.
|
370 |
-
"mean_token_accuracy": 0.
|
371 |
"step": 215
|
372 |
},
|
373 |
{
|
374 |
"epoch": 0.6511283758786534,
|
375 |
-
"grad_norm": 0.
|
376 |
-
"learning_rate":
|
377 |
-
"loss": 0.
|
378 |
-
"mean_token_accuracy": 0.
|
379 |
"step": 220
|
380 |
},
|
381 |
{
|
382 |
"epoch": 0.6659267480577137,
|
383 |
-
"grad_norm": 0.
|
384 |
-
"learning_rate":
|
385 |
-
"loss": 0.
|
386 |
-
"mean_token_accuracy": 0.
|
387 |
"step": 225
|
388 |
},
|
389 |
{
|
390 |
"epoch": 0.680725120236774,
|
391 |
-
"grad_norm": 0.
|
392 |
-
"learning_rate":
|
393 |
"loss": 0.7378,
|
394 |
-
"mean_token_accuracy": 0.
|
395 |
"step": 230
|
396 |
},
|
397 |
{
|
398 |
"epoch": 0.6955234924158342,
|
399 |
-
"grad_norm": 0.
|
400 |
-
"learning_rate":
|
401 |
-
"loss": 0.
|
402 |
-
"mean_token_accuracy": 0.
|
403 |
"step": 235
|
404 |
},
|
405 |
{
|
406 |
"epoch": 0.7103218645948945,
|
407 |
-
"grad_norm": 0.
|
408 |
-
"learning_rate":
|
409 |
-
"loss": 0.
|
410 |
-
"mean_token_accuracy": 0.
|
411 |
"step": 240
|
412 |
},
|
413 |
{
|
414 |
"epoch": 0.7251202367739549,
|
415 |
-
"grad_norm": 0.
|
416 |
-
"learning_rate":
|
417 |
-
"loss": 0.
|
418 |
-
"mean_token_accuracy": 0.
|
419 |
"step": 245
|
420 |
},
|
421 |
{
|
422 |
"epoch": 0.7399186089530152,
|
423 |
-
"grad_norm": 0.
|
424 |
-
"learning_rate":
|
425 |
-
"loss": 0.
|
426 |
-
"mean_token_accuracy": 0.
|
427 |
"step": 250
|
428 |
},
|
429 |
{
|
430 |
"epoch": 0.7547169811320755,
|
431 |
-
"grad_norm": 0.
|
432 |
-
"learning_rate":
|
433 |
-
"loss": 0.
|
434 |
-
"mean_token_accuracy": 0.
|
435 |
"step": 255
|
436 |
},
|
437 |
{
|
438 |
"epoch": 0.7695153533111357,
|
439 |
-
"grad_norm": 0.
|
440 |
-
"learning_rate":
|
441 |
-
"loss": 0.
|
442 |
-
"mean_token_accuracy": 0.
|
443 |
"step": 260
|
444 |
},
|
445 |
{
|
446 |
"epoch": 0.7843137254901961,
|
447 |
-
"grad_norm": 0.
|
448 |
-
"learning_rate":
|
449 |
-
"loss": 0.
|
450 |
-
"mean_token_accuracy": 0.
|
451 |
"step": 265
|
452 |
},
|
453 |
{
|
454 |
"epoch": 0.7991120976692564,
|
455 |
-
"grad_norm": 0.
|
456 |
-
"learning_rate":
|
457 |
-
"loss": 0.
|
458 |
-
"mean_token_accuracy": 0.
|
459 |
"step": 270
|
460 |
},
|
461 |
{
|
462 |
"epoch": 0.8139104698483167,
|
463 |
-
"grad_norm": 0.
|
464 |
-
"learning_rate": 1.
|
465 |
-
"loss": 0.
|
466 |
-
"mean_token_accuracy": 0.
|
467 |
"step": 275
|
468 |
},
|
469 |
{
|
470 |
"epoch": 0.8287088420273769,
|
471 |
-
"grad_norm": 0.
|
472 |
-
"learning_rate": 1.
|
473 |
-
"loss": 0.
|
474 |
-
"mean_token_accuracy": 0.
|
475 |
"step": 280
|
476 |
},
|
477 |
{
|
478 |
"epoch": 0.8435072142064373,
|
479 |
-
"grad_norm": 0.
|
480 |
-
"learning_rate": 1.
|
481 |
-
"loss": 0.
|
482 |
-
"mean_token_accuracy": 0.
|
483 |
"step": 285
|
484 |
},
|
485 |
{
|
486 |
"epoch": 0.8583055863854976,
|
487 |
-
"grad_norm": 0.
|
488 |
-
"learning_rate": 1.
|
489 |
-
"loss": 0.
|
490 |
-
"mean_token_accuracy": 0.
|
491 |
"step": 290
|
492 |
},
|
493 |
{
|
494 |
"epoch": 0.8731039585645579,
|
495 |
-
"grad_norm": 0.
|
496 |
-
"learning_rate":
|
497 |
-
"loss": 0.
|
498 |
-
"mean_token_accuracy": 0.
|
499 |
"step": 295
|
500 |
},
|
501 |
{
|
502 |
"epoch": 0.8879023307436182,
|
503 |
-
"grad_norm": 0.
|
504 |
-
"learning_rate":
|
505 |
-
"loss": 0.
|
506 |
-
"mean_token_accuracy": 0.
|
507 |
"step": 300
|
508 |
},
|
509 |
{
|
510 |
"epoch": 0.8879023307436182,
|
511 |
-
"eval_loss": 0.
|
512 |
-
"eval_mean_token_accuracy": 0.
|
513 |
-
"eval_runtime": 2.
|
514 |
-
"eval_samples_per_second":
|
515 |
-
"eval_steps_per_second": 3.
|
516 |
"step": 300
|
517 |
},
|
518 |
{
|
519 |
"epoch": 0.9027007029226785,
|
520 |
-
"grad_norm": 0.
|
521 |
-
"learning_rate":
|
522 |
-
"loss": 0.
|
523 |
-
"mean_token_accuracy": 0.
|
524 |
"step": 305
|
525 |
},
|
526 |
{
|
527 |
"epoch": 0.9174990751017388,
|
528 |
-
"grad_norm": 0.
|
529 |
-
"learning_rate":
|
530 |
-
"loss": 0.
|
531 |
-
"mean_token_accuracy": 0.
|
532 |
"step": 310
|
533 |
},
|
534 |
{
|
535 |
"epoch": 0.9322974472807991,
|
536 |
-
"grad_norm": 0.
|
537 |
-
"learning_rate":
|
538 |
-
"loss": 0.
|
539 |
-
"mean_token_accuracy": 0.
|
540 |
"step": 315
|
541 |
},
|
542 |
{
|
543 |
"epoch": 0.9470958194598594,
|
544 |
-
"grad_norm": 0.
|
545 |
-
"learning_rate": 1.
|
546 |
-
"loss": 0.
|
547 |
-
"mean_token_accuracy": 0.
|
548 |
"step": 320
|
549 |
},
|
550 |
{
|
551 |
"epoch": 0.9618941916389198,
|
552 |
-
"grad_norm": 0.
|
553 |
-
"learning_rate":
|
554 |
-
"loss": 0.
|
555 |
-
"mean_token_accuracy": 0.
|
556 |
"step": 325
|
557 |
},
|
558 |
{
|
559 |
"epoch": 0.97669256381798,
|
560 |
-
"grad_norm": 0.
|
561 |
-
"learning_rate":
|
562 |
-
"loss": 0.
|
563 |
-
"mean_token_accuracy": 0.
|
564 |
"step": 330
|
565 |
},
|
566 |
{
|
567 |
"epoch": 0.9914909359970403,
|
568 |
-
"grad_norm": 0.
|
569 |
-
"learning_rate":
|
570 |
-
"loss": 0.
|
571 |
-
"mean_token_accuracy": 0.
|
572 |
"step": 335
|
573 |
},
|
574 |
{
|
575 |
-
"epoch":
|
576 |
-
"
|
577 |
-
"
|
578 |
-
"
|
579 |
-
"
|
580 |
-
"
|
581 |
-
|
582 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
583 |
}
|
584 |
],
|
585 |
"logging_steps": 5,
|
586 |
-
"max_steps":
|
587 |
"num_input_tokens_seen": 0,
|
588 |
-
"num_train_epochs":
|
589 |
"save_steps": 500,
|
590 |
"stateful_callbacks": {
|
591 |
"TrainerControl": {
|
@@ -599,7 +1162,7 @@
|
|
599 |
"attributes": {}
|
600 |
}
|
601 |
},
|
602 |
-
"total_flos":
|
603 |
"train_batch_size": 2,
|
604 |
"trial_name": null,
|
605 |
"trial_params": null
|
|
|
1 |
{
|
2 |
"best_metric": null,
|
3 |
"best_model_checkpoint": null,
|
4 |
+
"epoch": 1.9944506104328523,
|
5 |
"eval_steps": 100,
|
6 |
+
"global_step": 674,
|
7 |
"is_hyper_param_search": false,
|
8 |
"is_local_process_zero": true,
|
9 |
"is_world_process_zero": true,
|
10 |
"log_history": [
|
11 |
{
|
12 |
"epoch": 0.014798372179060304,
|
13 |
+
"grad_norm": 2.593348807063828,
|
14 |
+
"learning_rate": 1.4705882352941177e-06,
|
15 |
+
"loss": 1.094,
|
16 |
+
"mean_token_accuracy": 0.7108849765114198,
|
17 |
"step": 5
|
18 |
},
|
19 |
{
|
20 |
"epoch": 0.029596744358120607,
|
21 |
+
"grad_norm": 1.9750641421169883,
|
22 |
+
"learning_rate": 2.9411764705882355e-06,
|
23 |
+
"loss": 1.0985,
|
24 |
+
"mean_token_accuracy": 0.7104195185735463,
|
25 |
"step": 10
|
26 |
},
|
27 |
{
|
28 |
"epoch": 0.04439511653718091,
|
29 |
+
"grad_norm": 1.256871834005428,
|
30 |
+
"learning_rate": 4.411764705882353e-06,
|
31 |
+
"loss": 1.0326,
|
32 |
+
"mean_token_accuracy": 0.7226216543652402,
|
33 |
"step": 15
|
34 |
},
|
35 |
{
|
36 |
"epoch": 0.059193488716241215,
|
37 |
+
"grad_norm": 1.2314608509786273,
|
38 |
+
"learning_rate": 5.882352941176471e-06,
|
39 |
+
"loss": 1.0116,
|
40 |
+
"mean_token_accuracy": 0.7213333714754395,
|
41 |
"step": 20
|
42 |
},
|
43 |
{
|
44 |
"epoch": 0.07399186089530152,
|
45 |
+
"grad_norm": 0.9985709690791873,
|
46 |
+
"learning_rate": 7.352941176470589e-06,
|
47 |
+
"loss": 0.9423,
|
48 |
+
"mean_token_accuracy": 0.7356589233943926,
|
49 |
"step": 25
|
50 |
},
|
51 |
{
|
52 |
"epoch": 0.08879023307436182,
|
53 |
+
"grad_norm": 0.677669379025463,
|
54 |
+
"learning_rate": 8.823529411764707e-06,
|
55 |
+
"loss": 0.9249,
|
56 |
+
"mean_token_accuracy": 0.7369974576486416,
|
57 |
"step": 30
|
58 |
},
|
59 |
{
|
60 |
"epoch": 0.10358860525342212,
|
61 |
+
"grad_norm": 0.5930723910211383,
|
62 |
+
"learning_rate": 1.0294117647058823e-05,
|
63 |
+
"loss": 0.8781,
|
64 |
+
"mean_token_accuracy": 0.7478943769535908,
|
65 |
"step": 35
|
66 |
},
|
67 |
{
|
68 |
"epoch": 0.11838697743248243,
|
69 |
+
"grad_norm": 0.6120099810718413,
|
70 |
+
"learning_rate": 1.1764705882352942e-05,
|
71 |
+
"loss": 0.8509,
|
72 |
+
"mean_token_accuracy": 0.7538154218630463,
|
73 |
"step": 40
|
74 |
},
|
75 |
{
|
76 |
"epoch": 0.13318534961154274,
|
77 |
+
"grad_norm": 0.5175092564052673,
|
78 |
+
"learning_rate": 1.323529411764706e-05,
|
79 |
+
"loss": 0.8477,
|
80 |
+
"mean_token_accuracy": 0.7534044571299353,
|
81 |
"step": 45
|
82 |
},
|
83 |
{
|
84 |
"epoch": 0.14798372179060304,
|
85 |
+
"grad_norm": 0.5643708633707751,
|
86 |
+
"learning_rate": 1.4705882352941179e-05,
|
87 |
+
"loss": 0.8265,
|
88 |
+
"mean_token_accuracy": 0.7580760243590007,
|
89 |
"step": 50
|
90 |
},
|
91 |
{
|
92 |
"epoch": 0.16278209396966334,
|
93 |
+
"grad_norm": 0.5199539772551212,
|
94 |
+
"learning_rate": 1.6176470588235296e-05,
|
95 |
+
"loss": 0.8319,
|
96 |
+
"mean_token_accuracy": 0.7564302122452184,
|
97 |
"step": 55
|
98 |
},
|
99 |
{
|
100 |
"epoch": 0.17758046614872364,
|
101 |
+
"grad_norm": 0.49258521590997956,
|
102 |
+
"learning_rate": 1.7647058823529414e-05,
|
103 |
+
"loss": 0.8176,
|
104 |
+
"mean_token_accuracy": 0.7597445209517484,
|
105 |
"step": 60
|
106 |
},
|
107 |
{
|
108 |
"epoch": 0.19237883832778394,
|
109 |
+
"grad_norm": 0.5307403214560474,
|
110 |
+
"learning_rate": 1.911764705882353e-05,
|
111 |
+
"loss": 0.8054,
|
112 |
+
"mean_token_accuracy": 0.7615138291997056,
|
113 |
"step": 65
|
114 |
},
|
115 |
{
|
116 |
"epoch": 0.20717721050684423,
|
117 |
+
"grad_norm": 0.4960255459749203,
|
118 |
+
"learning_rate": 1.9999462497359468e-05,
|
119 |
+
"loss": 0.8069,
|
120 |
+
"mean_token_accuracy": 0.761267918792979,
|
121 |
"step": 70
|
122 |
},
|
123 |
{
|
124 |
"epoch": 0.22197558268590456,
|
125 |
+
"grad_norm": 0.5003355217225459,
|
126 |
+
"learning_rate": 1.9993416256221894e-05,
|
127 |
+
"loss": 0.7868,
|
128 |
+
"mean_token_accuracy": 0.7661573062751283,
|
129 |
"step": 75
|
130 |
},
|
131 |
{
|
132 |
"epoch": 0.23677395486496486,
|
133 |
+
"grad_norm": 0.5583669207747801,
|
134 |
+
"learning_rate": 1.9980655971335944e-05,
|
135 |
+
"loss": 0.795,
|
136 |
+
"mean_token_accuracy": 0.7641677417554135,
|
137 |
"step": 80
|
138 |
},
|
139 |
{
|
140 |
"epoch": 0.25157232704402516,
|
141 |
+
"grad_norm": 0.5240356080381341,
|
142 |
+
"learning_rate": 1.996119021565693e-05,
|
143 |
+
"loss": 0.798,
|
144 |
+
"mean_token_accuracy": 0.7623190879812837,
|
145 |
"step": 85
|
146 |
},
|
147 |
{
|
148 |
"epoch": 0.2663706992230855,
|
149 |
+
"grad_norm": 0.5086305355433351,
|
150 |
+
"learning_rate": 1.993503206718859e-05,
|
151 |
+
"loss": 0.7725,
|
152 |
+
"mean_token_accuracy": 0.7697917930408653,
|
153 |
"step": 90
|
154 |
},
|
155 |
{
|
156 |
"epoch": 0.28116907140214575,
|
157 |
+
"grad_norm": 0.5210948328729179,
|
158 |
+
"learning_rate": 1.9902199100196697e-05,
|
159 |
+
"loss": 0.7797,
|
160 |
+
"mean_token_accuracy": 0.7675447411814386,
|
161 |
"step": 95
|
162 |
},
|
163 |
{
|
164 |
"epoch": 0.2959674435812061,
|
165 |
+
"grad_norm": 0.5293928629771224,
|
166 |
+
"learning_rate": 1.986271337340182e-05,
|
167 |
+
"loss": 0.7832,
|
168 |
+
"mean_token_accuracy": 0.7657440282462281,
|
169 |
"step": 100
|
170 |
},
|
171 |
{
|
172 |
"epoch": 0.2959674435812061,
|
173 |
+
"eval_loss": 0.8053451776504517,
|
174 |
+
"eval_mean_token_accuracy": 0.7508788819017185,
|
175 |
+
"eval_runtime": 2.9743,
|
176 |
+
"eval_samples_per_second": 43.371,
|
177 |
+
"eval_steps_per_second": 3.026,
|
178 |
"step": 100
|
179 |
},
|
180 |
{
|
181 |
"epoch": 0.31076581576026635,
|
182 |
+
"grad_norm": 0.5213337115292652,
|
183 |
+
"learning_rate": 1.9816601415159266e-05,
|
184 |
+
"loss": 0.7803,
|
185 |
+
"mean_token_accuracy": 0.7667738476997512,
|
186 |
"step": 105
|
187 |
},
|
188 |
{
|
189 |
"epoch": 0.3255641879393267,
|
190 |
+
"grad_norm": 0.5422814463410677,
|
191 |
+
"learning_rate": 1.976389420563607e-05,
|
192 |
+
"loss": 0.7754,
|
193 |
+
"mean_token_accuracy": 0.767532399595269,
|
194 |
"step": 110
|
195 |
},
|
196 |
{
|
197 |
"epoch": 0.340362560118387,
|
198 |
+
"grad_norm": 0.5101794394574756,
|
199 |
+
"learning_rate": 1.970462715599711e-05,
|
200 |
+
"loss": 0.786,
|
201 |
+
"mean_token_accuracy": 0.7652675887356217,
|
202 |
"step": 115
|
203 |
},
|
204 |
{
|
205 |
"epoch": 0.3551609322974473,
|
206 |
+
"grad_norm": 0.5098589304227549,
|
207 |
+
"learning_rate": 1.9638840084614182e-05,
|
208 |
+
"loss": 0.7907,
|
209 |
+
"mean_token_accuracy": 0.763076072814916,
|
210 |
"step": 120
|
211 |
},
|
212 |
{
|
213 |
"epoch": 0.3699593044765076,
|
214 |
+
"grad_norm": 0.4867400992746686,
|
215 |
+
"learning_rate": 1.95665771903142e-05,
|
216 |
+
"loss": 0.7766,
|
217 |
+
"mean_token_accuracy": 0.7664838272290541,
|
218 |
"step": 125
|
219 |
},
|
220 |
{
|
221 |
"epoch": 0.38475767665556787,
|
222 |
+
"grad_norm": 0.5010790639260299,
|
223 |
+
"learning_rate": 1.9487887022684336e-05,
|
224 |
+
"loss": 0.7742,
|
225 |
+
"mean_token_accuracy": 0.7671358251075762,
|
226 |
"step": 130
|
227 |
},
|
228 |
{
|
229 |
"epoch": 0.3995560488346282,
|
230 |
+
"grad_norm": 0.5154337703533832,
|
231 |
+
"learning_rate": 1.9402822449454154e-05,
|
232 |
+
"loss": 0.7823,
|
233 |
+
"mean_token_accuracy": 0.7651854378067892,
|
234 |
"step": 135
|
235 |
},
|
236 |
{
|
237 |
"epoch": 0.41435442101368847,
|
238 |
+
"grad_norm": 0.5784623873225747,
|
239 |
+
"learning_rate": 1.9311440620976597e-05,
|
240 |
+
"loss": 0.7514,
|
241 |
+
"mean_token_accuracy": 0.7740071044189999,
|
242 |
"step": 140
|
243 |
},
|
244 |
{
|
245 |
"epoch": 0.4291527931927488,
|
246 |
+
"grad_norm": 0.4782136651266562,
|
247 |
+
"learning_rate": 1.9213802931831697e-05,
|
248 |
+
"loss": 0.7657,
|
249 |
+
"mean_token_accuracy": 0.7693332456214177,
|
250 |
"step": 145
|
251 |
},
|
252 |
{
|
253 |
"epoch": 0.4439511653718091,
|
254 |
+
"grad_norm": 0.47005711458881455,
|
255 |
+
"learning_rate": 1.9109974979578852e-05,
|
256 |
+
"loss": 0.7649,
|
257 |
+
"mean_token_accuracy": 0.7701379314881234,
|
258 |
"step": 150
|
259 |
},
|
260 |
{
|
261 |
"epoch": 0.4587495375508694,
|
262 |
+
"grad_norm": 0.5608878376753778,
|
263 |
+
"learning_rate": 1.90000265206853e-05,
|
264 |
+
"loss": 0.7513,
|
265 |
+
"mean_token_accuracy": 0.7730658336329694,
|
266 |
"step": 155
|
267 |
},
|
268 |
{
|
269 |
"epoch": 0.4735479097299297,
|
270 |
+
"grad_norm": 0.50522739081176,
|
271 |
+
"learning_rate": 1.8884031423660492e-05,
|
272 |
+
"loss": 0.7815,
|
273 |
+
"mean_token_accuracy": 0.7646060372851711,
|
274 |
"step": 160
|
275 |
},
|
276 |
{
|
277 |
"epoch": 0.48834628190899,
|
278 |
+
"grad_norm": 0.5820021754434196,
|
279 |
+
"learning_rate": 1.8762067619427745e-05,
|
280 |
+
"loss": 0.7613,
|
281 |
+
"mean_token_accuracy": 0.7710034817869009,
|
282 |
"step": 165
|
283 |
},
|
284 |
{
|
285 |
"epoch": 0.5031446540880503,
|
286 |
+
"grad_norm": 0.4676454101627837,
|
287 |
+
"learning_rate": 1.8634217048966638e-05,
|
288 |
+
"loss": 0.7724,
|
289 |
+
"mean_token_accuracy": 0.7671357955663405,
|
290 |
"step": 170
|
291 |
},
|
292 |
{
|
293 |
"epoch": 0.5179430262671106,
|
294 |
+
"grad_norm": 0.5383542205708923,
|
295 |
+
"learning_rate": 1.8500565608261215e-05,
|
296 |
+
"loss": 0.7672,
|
297 |
+
"mean_token_accuracy": 0.768479148549233,
|
298 |
"step": 175
|
299 |
},
|
300 |
{
|
301 |
"epoch": 0.532741398446171,
|
302 |
+
"grad_norm": 0.5303302181160002,
|
303 |
+
"learning_rate": 1.836120309059107e-05,
|
304 |
+
"loss": 0.753,
|
305 |
+
"mean_token_accuracy": 0.7730720476425463,
|
306 |
"step": 180
|
307 |
},
|
308 |
{
|
309 |
"epoch": 0.5475397706252312,
|
310 |
+
"grad_norm": 0.5448865957224543,
|
311 |
+
"learning_rate": 1.821622312620401e-05,
|
312 |
+
"loss": 0.7592,
|
313 |
+
"mean_token_accuracy": 0.7711734616701431,
|
314 |
"step": 185
|
315 |
},
|
316 |
{
|
317 |
"epoch": 0.5623381428042915,
|
318 |
+
"grad_norm": 0.5325429730759403,
|
319 |
+
"learning_rate": 1.8065723119410885e-05,
|
320 |
+
"loss": 0.7494,
|
321 |
+
"mean_token_accuracy": 0.7731226250657407,
|
322 |
"step": 190
|
323 |
},
|
324 |
{
|
325 |
"epoch": 0.5771365149833518,
|
326 |
+
"grad_norm": 0.5255216453770453,
|
327 |
+
"learning_rate": 1.7909804183144837e-05,
|
328 |
+
"loss": 0.7383,
|
329 |
+
"mean_token_accuracy": 0.7756631657183498,
|
330 |
"step": 195
|
331 |
},
|
332 |
{
|
333 |
"epoch": 0.5919348871624122,
|
334 |
+
"grad_norm": 0.5120462736044016,
|
335 |
+
"learning_rate": 1.77485710710289e-05,
|
336 |
+
"loss": 0.7521,
|
337 |
+
"mean_token_accuracy": 0.7721419640874242,
|
338 |
"step": 200
|
339 |
},
|
340 |
{
|
341 |
"epoch": 0.5919348871624122,
|
342 |
+
"eval_loss": 0.7753354907035828,
|
343 |
+
"eval_mean_token_accuracy": 0.7572332747175835,
|
344 |
+
"eval_runtime": 2.5766,
|
345 |
+
"eval_samples_per_second": 50.066,
|
346 |
+
"eval_steps_per_second": 3.493,
|
347 |
"step": 200
|
348 |
},
|
349 |
{
|
350 |
"epoch": 0.6067332593414725,
|
351 |
+
"grad_norm": 0.4938631944306276,
|
352 |
+
"learning_rate": 1.7582132106997615e-05,
|
353 |
+
"loss": 0.742,
|
354 |
+
"mean_token_accuracy": 0.7750476845373353,
|
355 |
"step": 205
|
356 |
},
|
357 |
{
|
358 |
"epoch": 0.6215316315205327,
|
359 |
+
"grad_norm": 0.5671545592273357,
|
360 |
+
"learning_rate": 1.741059911251997e-05,
|
361 |
+
"loss": 0.7494,
|
362 |
+
"mean_token_accuracy": 0.7730425374431613,
|
363 |
"step": 210
|
364 |
},
|
365 |
{
|
366 |
"epoch": 0.636330003699593,
|
367 |
+
"grad_norm": 0.5698015954748781,
|
368 |
+
"learning_rate": 1.72340873314725e-05,
|
369 |
+
"loss": 0.7755,
|
370 |
+
"mean_token_accuracy": 0.7657081123174699,
|
371 |
"step": 215
|
372 |
},
|
373 |
{
|
374 |
"epoch": 0.6511283758786534,
|
375 |
+
"grad_norm": 0.4871241944840193,
|
376 |
+
"learning_rate": 1.7052715352713076e-05,
|
377 |
+
"loss": 0.7503,
|
378 |
+
"mean_token_accuracy": 0.7729788491307596,
|
379 |
"step": 220
|
380 |
},
|
381 |
{
|
382 |
"epoch": 0.6659267480577137,
|
383 |
+
"grad_norm": 0.4845619074170943,
|
384 |
+
"learning_rate": 1.686660503040737e-05,
|
385 |
+
"loss": 0.7594,
|
386 |
+
"mean_token_accuracy": 0.7697606181515417,
|
387 |
"step": 225
|
388 |
},
|
389 |
{
|
390 |
"epoch": 0.680725120236774,
|
391 |
+
"grad_norm": 0.449929707423831,
|
392 |
+
"learning_rate": 1.667588140216154e-05,
|
393 |
"loss": 0.7378,
|
394 |
+
"mean_token_accuracy": 0.7765756802087522,
|
395 |
"step": 230
|
396 |
},
|
397 |
{
|
398 |
"epoch": 0.6955234924158342,
|
399 |
+
"grad_norm": 0.4638428834610375,
|
400 |
+
"learning_rate": 1.648067260501611e-05,
|
401 |
+
"loss": 0.7403,
|
402 |
+
"mean_token_accuracy": 0.7761926000092616,
|
403 |
"step": 235
|
404 |
},
|
405 |
{
|
406 |
"epoch": 0.7103218645948945,
|
407 |
+
"grad_norm": 0.4835551262994511,
|
408 |
+
"learning_rate": 1.628110978935756e-05,
|
409 |
+
"loss": 0.7312,
|
410 |
+
"mean_token_accuracy": 0.7778456216806866,
|
411 |
"step": 240
|
412 |
},
|
413 |
{
|
414 |
"epoch": 0.7251202367739549,
|
415 |
+
"grad_norm": 0.47864040254789736,
|
416 |
+
"learning_rate": 1.6077327030805318e-05,
|
417 |
+
"loss": 0.7432,
|
418 |
+
"mean_token_accuracy": 0.7748753587572953,
|
419 |
"step": 245
|
420 |
},
|
421 |
{
|
422 |
"epoch": 0.7399186089530152,
|
423 |
+
"grad_norm": 0.5215157420531165,
|
424 |
+
"learning_rate": 1.586946124013354e-05,
|
425 |
+
"loss": 0.7431,
|
426 |
+
"mean_token_accuracy": 0.7745837726921236,
|
427 |
"step": 250
|
428 |
},
|
429 |
{
|
430 |
"epoch": 0.7547169811320755,
|
431 |
+
"grad_norm": 0.5416399731442417,
|
432 |
+
"learning_rate": 1.565765207128805e-05,
|
433 |
+
"loss": 0.7472,
|
434 |
+
"mean_token_accuracy": 0.7734427892740634,
|
435 |
"step": 255
|
436 |
},
|
437 |
{
|
438 |
"epoch": 0.7695153533111357,
|
439 |
+
"grad_norm": 0.5299768257874566,
|
440 |
+
"learning_rate": 1.5442041827560274e-05,
|
441 |
+
"loss": 0.742,
|
442 |
+
"mean_token_accuracy": 0.7745810392528254,
|
443 |
"step": 260
|
444 |
},
|
445 |
{
|
446 |
"epoch": 0.7843137254901961,
|
447 |
+
"grad_norm": 0.5033823978878146,
|
448 |
+
"learning_rate": 1.5222775365981272e-05,
|
449 |
+
"loss": 0.7586,
|
450 |
+
"mean_token_accuracy": 0.7694231223052592,
|
451 |
"step": 265
|
452 |
},
|
453 |
{
|
454 |
"epoch": 0.7991120976692564,
|
455 |
+
"grad_norm": 0.5009396005762752,
|
456 |
+
"learning_rate": 1.5000000000000002e-05,
|
457 |
+
"loss": 0.7416,
|
458 |
+
"mean_token_accuracy": 0.774962565654001,
|
459 |
"step": 270
|
460 |
},
|
461 |
{
|
462 |
"epoch": 0.8139104698483167,
|
463 |
+
"grad_norm": 0.5720141971810079,
|
464 |
+
"learning_rate": 1.477386540051127e-05,
|
465 |
+
"loss": 0.74,
|
466 |
+
"mean_token_accuracy": 0.7753138828627616,
|
467 |
"step": 275
|
468 |
},
|
469 |
{
|
470 |
"epoch": 0.8287088420273769,
|
471 |
+
"grad_norm": 0.46793189962319914,
|
472 |
+
"learning_rate": 1.4544523495299843e-05,
|
473 |
+
"loss": 0.7412,
|
474 |
+
"mean_token_accuracy": 0.7753686497664456,
|
475 |
"step": 280
|
476 |
},
|
477 |
{
|
478 |
"epoch": 0.8435072142064373,
|
479 |
+
"grad_norm": 0.49343522620873687,
|
480 |
+
"learning_rate": 1.4312128366968244e-05,
|
481 |
+
"loss": 0.7411,
|
482 |
+
"mean_token_accuracy": 0.7749813549179148,
|
483 |
"step": 285
|
484 |
},
|
485 |
{
|
486 |
"epoch": 0.8583055863854976,
|
487 |
+
"grad_norm": 0.4704246548142292,
|
488 |
+
"learning_rate": 1.4076836149416889e-05,
|
489 |
+
"loss": 0.7377,
|
490 |
+
"mean_token_accuracy": 0.7758572122067074,
|
491 |
"step": 290
|
492 |
},
|
493 |
{
|
494 |
"epoch": 0.8731039585645579,
|
495 |
+
"grad_norm": 0.5336045372375675,
|
496 |
+
"learning_rate": 1.3838804922946027e-05,
|
497 |
+
"loss": 0.734,
|
498 |
+
"mean_token_accuracy": 0.7765910014311306,
|
499 |
"step": 295
|
500 |
},
|
501 |
{
|
502 |
"epoch": 0.8879023307436182,
|
503 |
+
"grad_norm": 0.44316568207451656,
|
504 |
+
"learning_rate": 1.3598194608050011e-05,
|
505 |
+
"loss": 0.7255,
|
506 |
+
"mean_token_accuracy": 0.7792648379657762,
|
507 |
"step": 300
|
508 |
},
|
509 |
{
|
510 |
"epoch": 0.8879023307436182,
|
511 |
+
"eval_loss": 0.7596829533576965,
|
512 |
+
"eval_mean_token_accuracy": 0.761409966675403,
|
513 |
+
"eval_runtime": 2.5745,
|
514 |
+
"eval_samples_per_second": 50.107,
|
515 |
+
"eval_steps_per_second": 3.496,
|
516 |
"step": 300
|
517 |
},
|
518 |
{
|
519 |
"epoch": 0.9027007029226785,
|
520 |
+
"grad_norm": 0.48113060886258535,
|
521 |
+
"learning_rate": 1.335516685797525e-05,
|
522 |
+
"loss": 0.7335,
|
523 |
+
"mean_token_accuracy": 0.7769502910551431,
|
524 |
"step": 305
|
525 |
},
|
526 |
{
|
527 |
"epoch": 0.9174990751017388,
|
528 |
+
"grad_norm": 0.48237154295068696,
|
529 |
+
"learning_rate": 1.3109884950114007e-05,
|
530 |
+
"loss": 0.7057,
|
531 |
+
"mean_token_accuracy": 0.7848206362928833,
|
532 |
"step": 310
|
533 |
},
|
534 |
{
|
535 |
"epoch": 0.9322974472807991,
|
536 |
+
"grad_norm": 0.4668338419115322,
|
537 |
+
"learning_rate": 1.2862513676307009e-05,
|
538 |
+
"loss": 0.733,
|
539 |
+
"mean_token_accuracy": 0.7774705687024319,
|
540 |
"step": 315
|
541 |
},
|
542 |
{
|
543 |
"epoch": 0.9470958194598594,
|
544 |
+
"grad_norm": 0.5011764068821749,
|
545 |
+
"learning_rate": 1.2613219232128608e-05,
|
546 |
+
"loss": 0.7293,
|
547 |
+
"mean_token_accuracy": 0.7780742689022585,
|
548 |
"step": 320
|
549 |
},
|
550 |
{
|
551 |
"epoch": 0.9618941916389198,
|
552 |
+
"grad_norm": 0.4885559923585182,
|
553 |
+
"learning_rate": 1.2362169105228828e-05,
|
554 |
+
"loss": 0.7152,
|
555 |
+
"mean_token_accuracy": 0.7818612325296337,
|
556 |
"step": 325
|
557 |
},
|
558 |
{
|
559 |
"epoch": 0.97669256381798,
|
560 |
+
"grad_norm": 0.4785348974189487,
|
561 |
+
"learning_rate": 1.2109531962807333e-05,
|
562 |
+
"loss": 0.7289,
|
563 |
+
"mean_token_accuracy": 0.7781427874114122,
|
564 |
"step": 330
|
565 |
},
|
566 |
{
|
567 |
"epoch": 0.9914909359970403,
|
568 |
+
"grad_norm": 0.48751875931309574,
|
569 |
+
"learning_rate": 1.1855477538294934e-05,
|
570 |
+
"loss": 0.7276,
|
571 |
+
"mean_token_accuracy": 0.7779443587593641,
|
572 |
"step": 335
|
573 |
},
|
574 |
{
|
575 |
+
"epoch": 1.005919348871624,
|
576 |
+
"grad_norm": 0.48718844213578066,
|
577 |
+
"learning_rate": 1.1600176517318742e-05,
|
578 |
+
"loss": 0.7304,
|
579 |
+
"mean_token_accuracy": 0.7758459646187758,
|
580 |
+
"step": 340
|
581 |
+
},
|
582 |
+
{
|
583 |
+
"epoch": 1.0207177210506844,
|
584 |
+
"grad_norm": 0.47201016864606404,
|
585 |
+
"learning_rate": 1.1343800423027583e-05,
|
586 |
+
"loss": 0.6812,
|
587 |
+
"mean_token_accuracy": 0.7899202867391438,
|
588 |
+
"step": 345
|
589 |
+
},
|
590 |
+
{
|
591 |
+
"epoch": 1.0355160932297447,
|
592 |
+
"grad_norm": 0.4747324999715173,
|
593 |
+
"learning_rate": 1.1086521500854746e-05,
|
594 |
+
"loss": 0.7012,
|
595 |
+
"mean_token_accuracy": 0.7836693959349688,
|
596 |
+
"step": 350
|
597 |
+
},
|
598 |
+
{
|
599 |
+
"epoch": 1.050314465408805,
|
600 |
+
"grad_norm": 0.4910325009000735,
|
601 |
+
"learning_rate": 1.0828512602795462e-05,
|
602 |
+
"loss": 0.6876,
|
603 |
+
"mean_token_accuracy": 0.7875374486248747,
|
604 |
+
"step": 355
|
605 |
+
},
|
606 |
+
{
|
607 |
+
"epoch": 1.0651128375878653,
|
608 |
+
"grad_norm": 0.4571618422535637,
|
609 |
+
"learning_rate": 1.0569947071276847e-05,
|
610 |
+
"loss": 0.6884,
|
611 |
+
"mean_token_accuracy": 0.78774961123011,
|
612 |
+
"step": 360
|
613 |
+
},
|
614 |
+
{
|
615 |
+
"epoch": 1.0799112097669257,
|
616 |
+
"grad_norm": 0.4403850687340159,
|
617 |
+
"learning_rate": 1.031099862269837e-05,
|
618 |
+
"loss": 0.6783,
|
619 |
+
"mean_token_accuracy": 0.7904201368396653,
|
620 |
+
"step": 365
|
621 |
+
},
|
622 |
+
{
|
623 |
+
"epoch": 1.094709581945986,
|
624 |
+
"grad_norm": 0.4209799061995027,
|
625 |
+
"learning_rate": 1.0051841230721065e-05,
|
626 |
+
"loss": 0.6831,
|
627 |
+
"mean_token_accuracy": 0.7893388888775005,
|
628 |
+
"step": 370
|
629 |
+
},
|
630 |
+
{
|
631 |
+
"epoch": 1.1095079541250463,
|
632 |
+
"grad_norm": 0.44400251187223466,
|
633 |
+
"learning_rate": 9.7926490093839e-06,
|
634 |
+
"loss": 0.694,
|
635 |
+
"mean_token_accuracy": 0.7860355175167035,
|
636 |
+
"step": 375
|
637 |
+
},
|
638 |
+
{
|
639 |
+
"epoch": 1.1243063263041067,
|
640 |
+
"grad_norm": 0.44389093926366824,
|
641 |
+
"learning_rate": 9.533596096125826e-06,
|
642 |
+
"loss": 0.6805,
|
643 |
+
"mean_token_accuracy": 0.7897672438720169,
|
644 |
+
"step": 380
|
645 |
+
},
|
646 |
+
{
|
647 |
+
"epoch": 1.1391046984831668,
|
648 |
+
"grad_norm": 0.4402746900329913,
|
649 |
+
"learning_rate": 9.274856534792138e-06,
|
650 |
+
"loss": 0.6876,
|
651 |
+
"mean_token_accuracy": 0.787742068812946,
|
652 |
+
"step": 385
|
653 |
+
},
|
654 |
+
{
|
655 |
+
"epoch": 1.153903070662227,
|
656 |
+
"grad_norm": 0.4103517180651528,
|
657 |
+
"learning_rate": 9.016604158703654e-06,
|
658 |
+
"loss": 0.6936,
|
659 |
+
"mean_token_accuracy": 0.7862575514246564,
|
660 |
+
"step": 390
|
661 |
+
},
|
662 |
+
{
|
663 |
+
"epoch": 1.1687014428412874,
|
664 |
+
"grad_norm": 0.4372548428563679,
|
665 |
+
"learning_rate": 8.759012473867407e-06,
|
666 |
+
"loss": 0.687,
|
667 |
+
"mean_token_accuracy": 0.7881330535798076,
|
668 |
+
"step": 395
|
669 |
+
},
|
670 |
+
{
|
671 |
+
"epoch": 1.1834998150203477,
|
672 |
+
"grad_norm": 0.4517878712131358,
|
673 |
+
"learning_rate": 8.502254542407186e-06,
|
674 |
+
"loss": 0.6602,
|
675 |
+
"mean_token_accuracy": 0.7958344628887729,
|
676 |
+
"step": 400
|
677 |
+
},
|
678 |
+
{
|
679 |
+
"epoch": 1.1834998150203477,
|
680 |
+
"eval_loss": 0.7526344656944275,
|
681 |
+
"eval_mean_token_accuracy": 0.7637808838540963,
|
682 |
+
"eval_runtime": 2.5819,
|
683 |
+
"eval_samples_per_second": 49.964,
|
684 |
+
"eval_steps_per_second": 3.486,
|
685 |
+
"step": 400
|
686 |
+
},
|
687 |
+
{
|
688 |
+
"epoch": 1.198298187199408,
|
689 |
+
"grad_norm": 0.425798077366515,
|
690 |
+
"learning_rate": 8.246502866292324e-06,
|
691 |
+
"loss": 0.6762,
|
692 |
+
"mean_token_accuracy": 0.7913646662783693,
|
693 |
+
"step": 405
|
694 |
+
},
|
695 |
+
{
|
696 |
+
"epoch": 1.2130965593784684,
|
697 |
+
"grad_norm": 0.4638789221888502,
|
698 |
+
"learning_rate": 7.991929271442817e-06,
|
699 |
+
"loss": 0.6988,
|
700 |
+
"mean_token_accuracy": 0.7838723917785275,
|
701 |
+
"step": 410
|
702 |
+
},
|
703 |
+
{
|
704 |
+
"epoch": 1.2278949315575287,
|
705 |
+
"grad_norm": 0.4280501917061392,
|
706 |
+
"learning_rate": 7.738704792288654e-06,
|
707 |
+
"loss": 0.6774,
|
708 |
+
"mean_token_accuracy": 0.7903381169266661,
|
709 |
+
"step": 415
|
710 |
+
},
|
711 |
+
{
|
712 |
+
"epoch": 1.242693303736589,
|
713 |
+
"grad_norm": 0.42498111768242547,
|
714 |
+
"learning_rate": 7.48699955686089e-06,
|
715 |
+
"loss": 0.6813,
|
716 |
+
"mean_token_accuracy": 0.7894631759093487,
|
717 |
+
"step": 420
|
718 |
+
},
|
719 |
+
{
|
720 |
+
"epoch": 1.2574916759156491,
|
721 |
+
"grad_norm": 0.41478152725647516,
|
722 |
+
"learning_rate": 7.236982672491699e-06,
|
723 |
+
"loss": 0.6728,
|
724 |
+
"mean_token_accuracy": 0.7919249787920513,
|
725 |
+
"step": 425
|
726 |
+
},
|
727 |
+
{
|
728 |
+
"epoch": 1.2722900480947095,
|
729 |
+
"grad_norm": 0.4541548007471146,
|
730 |
+
"learning_rate": 6.988822112200157e-06,
|
731 |
+
"loss": 0.6796,
|
732 |
+
"mean_token_accuracy": 0.7900502463044352,
|
733 |
+
"step": 430
|
734 |
+
},
|
735 |
+
{
|
736 |
+
"epoch": 1.2870884202737698,
|
737 |
+
"grad_norm": 0.4347630729515234,
|
738 |
+
"learning_rate": 6.742684601840142e-06,
|
739 |
+
"loss": 0.6717,
|
740 |
+
"mean_token_accuracy": 0.7929136972724844,
|
741 |
+
"step": 435
|
742 |
+
},
|
743 |
+
{
|
744 |
+
"epoch": 1.3018867924528301,
|
745 |
+
"grad_norm": 0.45090441896346267,
|
746 |
+
"learning_rate": 6.498735508086094e-06,
|
747 |
+
"loss": 0.6968,
|
748 |
+
"mean_token_accuracy": 0.7851391617996991,
|
749 |
+
"step": 440
|
750 |
+
},
|
751 |
+
{
|
752 |
+
"epoch": 1.3166851646318904,
|
753 |
+
"grad_norm": 0.4667797906922687,
|
754 |
+
"learning_rate": 6.2571387273319905e-06,
|
755 |
+
"loss": 0.6981,
|
756 |
+
"mean_token_accuracy": 0.7850517425351553,
|
757 |
+
"step": 445
|
758 |
+
},
|
759 |
+
{
|
760 |
+
"epoch": 1.3314835368109508,
|
761 |
+
"grad_norm": 0.4648667234354044,
|
762 |
+
"learning_rate": 6.018056575578075e-06,
|
763 |
+
"loss": 0.6883,
|
764 |
+
"mean_token_accuracy": 0.7874625531372195,
|
765 |
+
"step": 450
|
766 |
+
},
|
767 |
+
{
|
768 |
+
"epoch": 1.346281908990011,
|
769 |
+
"grad_norm": 0.41673039178072924,
|
770 |
+
"learning_rate": 5.781649679379379e-06,
|
771 |
+
"loss": 0.6991,
|
772 |
+
"mean_token_accuracy": 0.7841906497424455,
|
773 |
+
"step": 455
|
774 |
+
},
|
775 |
+
{
|
776 |
+
"epoch": 1.3610802811690714,
|
777 |
+
"grad_norm": 0.421710853156402,
|
778 |
+
"learning_rate": 5.548076867929331e-06,
|
779 |
+
"loss": 0.686,
|
780 |
+
"mean_token_accuracy": 0.7881790344194883,
|
781 |
+
"step": 460
|
782 |
+
},
|
783 |
+
{
|
784 |
+
"epoch": 1.3758786533481318,
|
785 |
+
"grad_norm": 0.4095421501939646,
|
786 |
+
"learning_rate": 5.31749506635086e-06,
|
787 |
+
"loss": 0.6978,
|
788 |
+
"mean_token_accuracy": 0.7845082248101509,
|
789 |
+
"step": 465
|
790 |
+
},
|
791 |
+
{
|
792 |
+
"epoch": 1.390677025527192,
|
793 |
+
"grad_norm": 0.38836233257615616,
|
794 |
+
"learning_rate": 5.090059190266779e-06,
|
795 |
+
"loss": 0.6759,
|
796 |
+
"mean_token_accuracy": 0.790896360104509,
|
797 |
+
"step": 470
|
798 |
+
},
|
799 |
+
{
|
800 |
+
"epoch": 1.4054753977062524,
|
801 |
+
"grad_norm": 0.44432765945429187,
|
802 |
+
"learning_rate": 4.865922041720239e-06,
|
803 |
+
"loss": 0.7049,
|
804 |
+
"mean_token_accuracy": 0.7829590808442444,
|
805 |
+
"step": 475
|
806 |
+
},
|
807 |
+
{
|
808 |
+
"epoch": 1.4202737698853127,
|
809 |
+
"grad_norm": 0.42410175022228774,
|
810 |
+
"learning_rate": 4.645234206515171e-06,
|
811 |
+
"loss": 0.6912,
|
812 |
+
"mean_token_accuracy": 0.7861480885303875,
|
813 |
+
"step": 480
|
814 |
+
},
|
815 |
+
{
|
816 |
+
"epoch": 1.435072142064373,
|
817 |
+
"grad_norm": 0.40621594870021627,
|
818 |
+
"learning_rate": 4.4281439530457174e-06,
|
819 |
+
"loss": 0.6863,
|
820 |
+
"mean_token_accuracy": 0.7874242608443394,
|
821 |
+
"step": 485
|
822 |
+
},
|
823 |
+
{
|
824 |
+
"epoch": 1.4498705142434332,
|
825 |
+
"grad_norm": 0.4193922892692362,
|
826 |
+
"learning_rate": 4.214797132682597e-06,
|
827 |
+
"loss": 0.6788,
|
828 |
+
"mean_token_accuracy": 0.7899688239885381,
|
829 |
+
"step": 490
|
830 |
+
},
|
831 |
+
{
|
832 |
+
"epoch": 1.4646688864224935,
|
833 |
+
"grad_norm": 0.43222747626210295,
|
834 |
+
"learning_rate": 4.00533708178334e-06,
|
835 |
+
"loss": 0.682,
|
836 |
+
"mean_token_accuracy": 0.7892313286173167,
|
837 |
+
"step": 495
|
838 |
+
},
|
839 |
+
{
|
840 |
+
"epoch": 1.4794672586015538,
|
841 |
+
"grad_norm": 0.4120701167860772,
|
842 |
+
"learning_rate": 3.799904525392251e-06,
|
843 |
+
"loss": 0.6796,
|
844 |
+
"mean_token_accuracy": 0.7901880590604035,
|
845 |
+
"step": 500
|
846 |
+
},
|
847 |
+
{
|
848 |
+
"epoch": 1.4794672586015538,
|
849 |
+
"eval_loss": 0.7470049262046814,
|
850 |
+
"eval_mean_token_accuracy": 0.7654142432713686,
|
851 |
+
"eval_runtime": 2.5774,
|
852 |
+
"eval_samples_per_second": 50.05,
|
853 |
+
"eval_steps_per_second": 3.492,
|
854 |
+
"step": 500
|
855 |
+
},
|
856 |
+
{
|
857 |
+
"epoch": 1.4942656307806141,
|
858 |
+
"grad_norm": 0.4088311845013094,
|
859 |
+
"learning_rate": 3.5986374826947067e-06,
|
860 |
+
"loss": 0.6759,
|
861 |
+
"mean_token_accuracy": 0.7912675486581924,
|
862 |
+
"step": 505
|
863 |
+
},
|
864 |
+
{
|
865 |
+
"epoch": 1.5090640029596745,
|
866 |
+
"grad_norm": 0.43601026958405814,
|
867 |
+
"learning_rate": 3.401671174289469e-06,
|
868 |
+
"loss": 0.6868,
|
869 |
+
"mean_token_accuracy": 0.7875342211095951,
|
870 |
+
"step": 510
|
871 |
+
},
|
872 |
+
{
|
873 |
+
"epoch": 1.5238623751387348,
|
874 |
+
"grad_norm": 0.42059576380951874,
|
875 |
+
"learning_rate": 3.209137931341143e-06,
|
876 |
+
"loss": 0.6841,
|
877 |
+
"mean_token_accuracy": 0.789064854621197,
|
878 |
+
"step": 515
|
879 |
+
},
|
880 |
+
{
|
881 |
+
"epoch": 1.538660747317795,
|
882 |
+
"grad_norm": 0.42071162363599823,
|
883 |
+
"learning_rate": 3.021167106673928e-06,
|
884 |
+
"loss": 0.6811,
|
885 |
+
"mean_token_accuracy": 0.7895668923221757,
|
886 |
+
"step": 520
|
887 |
+
},
|
888 |
+
{
|
889 |
+
"epoch": 1.5534591194968552,
|
890 |
+
"grad_norm": 0.4006495337567465,
|
891 |
+
"learning_rate": 2.837884987866363e-06,
|
892 |
+
"loss": 0.6711,
|
893 |
+
"mean_token_accuracy": 0.7922967599695604,
|
894 |
+
"step": 525
|
895 |
+
},
|
896 |
+
{
|
897 |
+
"epoch": 1.5682574916759155,
|
898 |
+
"grad_norm": 0.39801538104964046,
|
899 |
+
"learning_rate": 2.6594147124053983e-06,
|
900 |
+
"loss": 0.6778,
|
901 |
+
"mean_token_accuracy": 0.7905583011930852,
|
902 |
+
"step": 530
|
903 |
+
},
|
904 |
+
{
|
905 |
+
"epoch": 1.5830558638549759,
|
906 |
+
"grad_norm": 0.40423745101731073,
|
907 |
+
"learning_rate": 2.485876184956928e-06,
|
908 |
+
"loss": 0.6918,
|
909 |
+
"mean_token_accuracy": 0.7868834178242057,
|
910 |
+
"step": 535
|
911 |
+
},
|
912 |
+
{
|
913 |
+
"epoch": 1.5978542360340362,
|
914 |
+
"grad_norm": 0.42810509152800985,
|
915 |
+
"learning_rate": 2.317385996808195e-06,
|
916 |
+
"loss": 0.6828,
|
917 |
+
"mean_token_accuracy": 0.7893337452821828,
|
918 |
+
"step": 540
|
919 |
+
},
|
920 |
+
{
|
921 |
+
"epoch": 1.6126526082130965,
|
922 |
+
"grad_norm": 0.41397615085905737,
|
923 |
+
"learning_rate": 2.1540573475363402e-06,
|
924 |
+
"loss": 0.6857,
|
925 |
+
"mean_token_accuracy": 0.7880505231976661,
|
926 |
+
"step": 545
|
927 |
+
},
|
928 |
+
{
|
929 |
+
"epoch": 1.6274509803921569,
|
930 |
+
"grad_norm": 0.4345953263358439,
|
931 |
+
"learning_rate": 1.9959999689556407e-06,
|
932 |
+
"loss": 0.688,
|
933 |
+
"mean_token_accuracy": 0.7875360022810415,
|
934 |
+
"step": 550
|
935 |
+
},
|
936 |
+
{
|
937 |
+
"epoch": 1.6422493525712172,
|
938 |
+
"grad_norm": 0.3933827018911945,
|
939 |
+
"learning_rate": 1.8433200513945338e-06,
|
940 |
+
"loss": 0.6718,
|
941 |
+
"mean_token_accuracy": 0.7921645756607958,
|
942 |
+
"step": 555
|
943 |
+
},
|
944 |
+
{
|
945 |
+
"epoch": 1.6570477247502775,
|
946 |
+
"grad_norm": 0.39767074529668084,
|
947 |
+
"learning_rate": 1.6961201723520248e-06,
|
948 |
+
"loss": 0.6804,
|
949 |
+
"mean_token_accuracy": 0.7892949470146251,
|
950 |
+
"step": 560
|
951 |
+
},
|
952 |
+
{
|
953 |
+
"epoch": 1.6718460969293378,
|
954 |
+
"grad_norm": 0.4246684953971968,
|
955 |
+
"learning_rate": 1.5544992275813053e-06,
|
956 |
+
"loss": 0.6785,
|
957 |
+
"mean_token_accuracy": 0.7903202169117076,
|
958 |
+
"step": 565
|
959 |
+
},
|
960 |
+
{
|
961 |
+
"epoch": 1.6866444691083982,
|
962 |
+
"grad_norm": 0.40591338048572306,
|
963 |
+
"learning_rate": 1.4185523646469822e-06,
|
964 |
+
"loss": 0.6755,
|
965 |
+
"mean_token_accuracy": 0.7911190977884677,
|
966 |
+
"step": 570
|
967 |
+
},
|
968 |
+
{
|
969 |
+
"epoch": 1.7014428412874585,
|
970 |
+
"grad_norm": 0.38989739838620574,
|
971 |
+
"learning_rate": 1.2883709190004956e-06,
|
972 |
+
"loss": 0.6872,
|
973 |
+
"mean_token_accuracy": 0.7874141706041697,
|
974 |
+
"step": 575
|
975 |
+
},
|
976 |
+
{
|
977 |
+
"epoch": 1.7162412134665188,
|
978 |
+
"grad_norm": 0.4048975612390519,
|
979 |
+
"learning_rate": 1.1640423526166987e-06,
|
980 |
+
"loss": 0.689,
|
981 |
+
"mean_token_accuracy": 0.7870928623453113,
|
982 |
+
"step": 580
|
983 |
+
},
|
984 |
+
{
|
985 |
+
"epoch": 1.7310395856455791,
|
986 |
+
"grad_norm": 0.38649469437003026,
|
987 |
+
"learning_rate": 1.0456501952328191e-06,
|
988 |
+
"loss": 0.6779,
|
989 |
+
"mean_token_accuracy": 0.7905220607290137,
|
990 |
+
"step": 585
|
991 |
+
},
|
992 |
+
{
|
993 |
+
"epoch": 1.7458379578246392,
|
994 |
+
"grad_norm": 0.43427031919198744,
|
995 |
+
"learning_rate": 9.332739882292752e-07,
|
996 |
+
"loss": 0.6858,
|
997 |
+
"mean_token_accuracy": 0.7882371685872589,
|
998 |
+
"step": 590
|
999 |
+
},
|
1000 |
+
{
|
1001 |
+
"epoch": 1.7606363300036996,
|
1002 |
+
"grad_norm": 0.4073950752567948,
|
1003 |
+
"learning_rate": 8.269892311900696e-07,
|
1004 |
+
"loss": 0.681,
|
1005 |
+
"mean_token_accuracy": 0.7890982111968786,
|
1006 |
+
"step": 595
|
1007 |
+
},
|
1008 |
+
{
|
1009 |
+
"epoch": 1.77543470218276,
|
1010 |
+
"grad_norm": 0.3882086832272342,
|
1011 |
+
"learning_rate": 7.268673311786378e-07,
|
1012 |
+
"loss": 0.6832,
|
1013 |
+
"mean_token_accuracy": 0.7889850474950262,
|
1014 |
+
"step": 600
|
1015 |
+
},
|
1016 |
+
{
|
1017 |
+
"epoch": 1.77543470218276,
|
1018 |
+
"eval_loss": 0.7440360188484192,
|
1019 |
+
"eval_mean_token_accuracy": 0.7662619985199512,
|
1020 |
+
"eval_runtime": 2.589,
|
1021 |
+
"eval_samples_per_second": 49.827,
|
1022 |
+
"eval_steps_per_second": 3.476,
|
1023 |
+
"step": 600
|
1024 |
+
},
|
1025 |
+
{
|
1026 |
+
"epoch": 1.7902330743618202,
|
1027 |
+
"grad_norm": 0.37678451317919576,
|
1028 |
+
"learning_rate": 6.329755547632499e-07,
|
1029 |
+
"loss": 0.6785,
|
1030 |
+
"mean_token_accuracy": 0.7897574813595997,
|
1031 |
+
"step": 605
|
1032 |
+
},
|
1033 |
+
{
|
1034 |
+
"epoch": 1.8050314465408805,
|
1035 |
+
"grad_norm": 0.401763674994648,
|
1036 |
+
"learning_rate": 5.453769828241872e-07,
|
1037 |
+
"loss": 0.6745,
|
1038 |
+
"mean_token_accuracy": 0.791093994328963,
|
1039 |
+
"step": 610
|
1040 |
+
},
|
1041 |
+
{
|
1042 |
+
"epoch": 1.8198298187199407,
|
1043 |
+
"grad_norm": 0.42751930092874074,
|
1044 |
+
"learning_rate": 4.6413046817306404e-07,
|
1045 |
+
"loss": 0.6815,
|
1046 |
+
"mean_token_accuracy": 0.7891455211870513,
|
1047 |
+
"step": 615
|
1048 |
+
},
|
1049 |
+
{
|
1050 |
+
"epoch": 1.834628190899001,
|
1051 |
+
"grad_norm": 0.37516345502958226,
|
1052 |
+
"learning_rate": 3.8929059601275463e-07,
|
1053 |
+
"loss": 0.6851,
|
1054 |
+
"mean_token_accuracy": 0.7874412703053781,
|
1055 |
+
"step": 620
|
1056 |
+
},
|
1057 |
+
{
|
1058 |
+
"epoch": 1.8494265630780613,
|
1059 |
+
"grad_norm": 0.4083596318817903,
|
1060 |
+
"learning_rate": 3.209076472645112e-07,
|
1061 |
+
"loss": 0.6848,
|
1062 |
+
"mean_token_accuracy": 0.7885656704705398,
|
1063 |
+
"step": 625
|
1064 |
+
},
|
1065 |
+
{
|
1066 |
+
"epoch": 1.8642249352571216,
|
1067 |
+
"grad_norm": 0.4152899888471385,
|
1068 |
+
"learning_rate": 2.5902756478688674e-07,
|
1069 |
+
"loss": 0.6931,
|
1070 |
+
"mean_token_accuracy": 0.7853106727569341,
|
1071 |
+
"step": 630
|
1072 |
+
},
|
1073 |
+
{
|
1074 |
+
"epoch": 1.879023307436182,
|
1075 |
+
"grad_norm": 0.3791618126160387,
|
1076 |
+
"learning_rate": 2.036919225091827e-07,
|
1077 |
+
"loss": 0.6925,
|
1078 |
+
"mean_token_accuracy": 0.7861030467863773,
|
1079 |
+
"step": 635
|
1080 |
+
},
|
1081 |
+
{
|
1082 |
+
"epoch": 1.8938216796152423,
|
1083 |
+
"grad_norm": 0.3733283279669527,
|
1084 |
+
"learning_rate": 1.5493789750014032e-07,
|
1085 |
+
"loss": 0.6756,
|
1086 |
+
"mean_token_accuracy": 0.7909808020722119,
|
1087 |
+
"step": 640
|
1088 |
+
},
|
1089 |
+
{
|
1090 |
+
"epoch": 1.9086200517943026,
|
1091 |
+
"grad_norm": 0.42543070144440165,
|
1092 |
+
"learning_rate": 1.1279824499064396e-07,
|
1093 |
+
"loss": 0.689,
|
1094 |
+
"mean_token_accuracy": 0.786992236965976,
|
1095 |
+
"step": 645
|
1096 |
+
},
|
1097 |
+
{
|
1098 |
+
"epoch": 1.923418423973363,
|
1099 |
+
"grad_norm": 0.39849949807122753,
|
1100 |
+
"learning_rate": 7.730127636723539e-08,
|
1101 |
+
"loss": 0.6942,
|
1102 |
+
"mean_token_accuracy": 0.7851729688326422,
|
1103 |
+
"step": 650
|
1104 |
+
},
|
1105 |
+
{
|
1106 |
+
"epoch": 1.9382167961524233,
|
1107 |
+
"grad_norm": 0.40279497710177514,
|
1108 |
+
"learning_rate": 4.8470840151195745e-08,
|
1109 |
+
"loss": 0.6902,
|
1110 |
+
"mean_token_accuracy": 0.7862401874833821,
|
1111 |
+
"step": 655
|
1112 |
+
},
|
1113 |
+
{
|
1114 |
+
"epoch": 1.9530151683314836,
|
1115 |
+
"grad_norm": 0.40049648728709475,
|
1116 |
+
"learning_rate": 2.6326305976001054e-08,
|
1117 |
+
"loss": 0.7015,
|
1118 |
+
"mean_token_accuracy": 0.7839154693712095,
|
1119 |
+
"step": 660
|
1120 |
+
},
|
1121 |
+
{
|
1122 |
+
"epoch": 1.967813540510544,
|
1123 |
+
"grad_norm": 0.4058408115055615,
|
1124 |
+
"learning_rate": 1.0882551573891953e-08,
|
1125 |
+
"loss": 0.6753,
|
1126 |
+
"mean_token_accuracy": 0.7906313809153375,
|
1127 |
+
"step": 665
|
1128 |
+
},
|
1129 |
+
{
|
1130 |
+
"epoch": 1.9826119126896042,
|
1131 |
+
"grad_norm": 0.4037258285940985,
|
1132 |
+
"learning_rate": 2.149952780321485e-09,
|
1133 |
+
"loss": 0.6912,
|
1134 |
+
"mean_token_accuracy": 0.7864113234230127,
|
1135 |
+
"step": 670
|
1136 |
+
},
|
1137 |
+
{
|
1138 |
+
"epoch": 1.9944506104328523,
|
1139 |
+
"mean_token_accuracy": 0.7874216550233467,
|
1140 |
+
"step": 674,
|
1141 |
+
"total_flos": 153548771819520.0,
|
1142 |
+
"train_loss": 0.7361217298564289,
|
1143 |
+
"train_runtime": 2538.6324,
|
1144 |
+
"train_samples_per_second": 17.035,
|
1145 |
+
"train_steps_per_second": 0.265
|
1146 |
}
|
1147 |
],
|
1148 |
"logging_steps": 5,
|
1149 |
+
"max_steps": 674,
|
1150 |
"num_input_tokens_seen": 0,
|
1151 |
+
"num_train_epochs": 2,
|
1152 |
"save_steps": 500,
|
1153 |
"stateful_callbacks": {
|
1154 |
"TrainerControl": {
|
|
|
1162 |
"attributes": {}
|
1163 |
}
|
1164 |
},
|
1165 |
+
"total_flos": 153548771819520.0,
|
1166 |
"train_batch_size": 2,
|
1167 |
"trial_name": null,
|
1168 |
"trial_params": null
|
training_args.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 7352
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:748cf425f2be7ed5e900fb35ea8c79dea87de375090d0f82b35d1b13172340c3
|
3 |
size 7352
|