End of training
Browse files- README.md +2 -1
- all_results.json +8 -0
- train_results.json +8 -0
- trainer_state.json +357 -0
- training_loss.png +0 -0
README.md
CHANGED
@@ -4,6 +4,7 @@ license: apache-2.0
|
|
4 |
base_model: Qwen/Qwen2.5-7B-Instruct
|
5 |
tags:
|
6 |
- llama-factory
|
|
|
7 |
- generated_from_trainer
|
8 |
model-index:
|
9 |
- name: 316_globalbatchsize64_lr1e5_epochs9
|
@@ -15,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
|
|
15 |
|
16 |
# 316_globalbatchsize64_lr1e5_epochs9
|
17 |
|
18 |
-
This model is a fine-tuned version of [Qwen/Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct) on
|
19 |
|
20 |
## Model description
|
21 |
|
|
|
4 |
base_model: Qwen/Qwen2.5-7B-Instruct
|
5 |
tags:
|
6 |
- llama-factory
|
7 |
+
- full
|
8 |
- generated_from_trainer
|
9 |
model-index:
|
10 |
- name: 316_globalbatchsize64_lr1e5_epochs9
|
|
|
16 |
|
17 |
# 316_globalbatchsize64_lr1e5_epochs9
|
18 |
|
19 |
+
This model is a fine-tuned version of [Qwen/Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct) on the mlfoundations-dev/openthoughts_316 dataset.
|
20 |
|
21 |
## Model description
|
22 |
|
all_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 9.0,
|
3 |
+
"total_flos": 5.884502265246515e+16,
|
4 |
+
"train_loss": 0.5766020390722487,
|
5 |
+
"train_runtime": 3761.5623,
|
6 |
+
"train_samples_per_second": 0.756,
|
7 |
+
"train_steps_per_second": 0.012
|
8 |
+
}
|
train_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 9.0,
|
3 |
+
"total_flos": 5.884502265246515e+16,
|
4 |
+
"train_loss": 0.5766020390722487,
|
5 |
+
"train_runtime": 3761.5623,
|
6 |
+
"train_samples_per_second": 0.756,
|
7 |
+
"train_steps_per_second": 0.012
|
8 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,357 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 9.0,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 45,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.2,
|
13 |
+
"grad_norm": 5.58225777885823,
|
14 |
+
"learning_rate": 2.0000000000000003e-06,
|
15 |
+
"loss": 0.832,
|
16 |
+
"step": 1
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.4,
|
20 |
+
"grad_norm": 6.008257407379017,
|
21 |
+
"learning_rate": 4.000000000000001e-06,
|
22 |
+
"loss": 0.8909,
|
23 |
+
"step": 2
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.6,
|
27 |
+
"grad_norm": 5.755434052037213,
|
28 |
+
"learning_rate": 6e-06,
|
29 |
+
"loss": 0.8993,
|
30 |
+
"step": 3
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.8,
|
34 |
+
"grad_norm": 4.391157497619278,
|
35 |
+
"learning_rate": 8.000000000000001e-06,
|
36 |
+
"loss": 0.8679,
|
37 |
+
"step": 4
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 1.0,
|
41 |
+
"grad_norm": 2.1357107841303877,
|
42 |
+
"learning_rate": 1e-05,
|
43 |
+
"loss": 0.7841,
|
44 |
+
"step": 5
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 1.2,
|
48 |
+
"grad_norm": 4.365959571508314,
|
49 |
+
"learning_rate": 9.984586668665641e-06,
|
50 |
+
"loss": 0.7945,
|
51 |
+
"step": 6
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 1.4,
|
55 |
+
"grad_norm": 4.993727297643614,
|
56 |
+
"learning_rate": 9.938441702975689e-06,
|
57 |
+
"loss": 0.8203,
|
58 |
+
"step": 7
|
59 |
+
},
|
60 |
+
{
|
61 |
+
"epoch": 1.6,
|
62 |
+
"grad_norm": 5.569179938813017,
|
63 |
+
"learning_rate": 9.861849601988384e-06,
|
64 |
+
"loss": 0.7761,
|
65 |
+
"step": 8
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 1.8,
|
69 |
+
"grad_norm": 5.204261036338818,
|
70 |
+
"learning_rate": 9.755282581475769e-06,
|
71 |
+
"loss": 0.7821,
|
72 |
+
"step": 9
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"epoch": 2.0,
|
76 |
+
"grad_norm": 3.2982946628652776,
|
77 |
+
"learning_rate": 9.619397662556434e-06,
|
78 |
+
"loss": 0.7324,
|
79 |
+
"step": 10
|
80 |
+
},
|
81 |
+
{
|
82 |
+
"epoch": 2.2,
|
83 |
+
"grad_norm": 2.023031215940344,
|
84 |
+
"learning_rate": 9.45503262094184e-06,
|
85 |
+
"loss": 0.7137,
|
86 |
+
"step": 11
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 2.4,
|
90 |
+
"grad_norm": 2.080256647845139,
|
91 |
+
"learning_rate": 9.263200821770462e-06,
|
92 |
+
"loss": 0.6588,
|
93 |
+
"step": 12
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 2.6,
|
97 |
+
"grad_norm": 1.581481866660557,
|
98 |
+
"learning_rate": 9.045084971874738e-06,
|
99 |
+
"loss": 0.6395,
|
100 |
+
"step": 13
|
101 |
+
},
|
102 |
+
{
|
103 |
+
"epoch": 2.8,
|
104 |
+
"grad_norm": 1.4418442242719476,
|
105 |
+
"learning_rate": 8.802029828000157e-06,
|
106 |
+
"loss": 0.6625,
|
107 |
+
"step": 14
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 3.0,
|
111 |
+
"grad_norm": 1.0846828883447723,
|
112 |
+
"learning_rate": 8.535533905932739e-06,
|
113 |
+
"loss": 0.6375,
|
114 |
+
"step": 15
|
115 |
+
},
|
116 |
+
{
|
117 |
+
"epoch": 3.2,
|
118 |
+
"grad_norm": 0.9925711791780533,
|
119 |
+
"learning_rate": 8.247240241650918e-06,
|
120 |
+
"loss": 0.5723,
|
121 |
+
"step": 16
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 3.4,
|
125 |
+
"grad_norm": 0.9658391764080666,
|
126 |
+
"learning_rate": 7.938926261462366e-06,
|
127 |
+
"loss": 0.6482,
|
128 |
+
"step": 17
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 3.6,
|
132 |
+
"grad_norm": 0.7948431358966688,
|
133 |
+
"learning_rate": 7.612492823579744e-06,
|
134 |
+
"loss": 0.5856,
|
135 |
+
"step": 18
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 3.8,
|
139 |
+
"grad_norm": 0.8321362712730861,
|
140 |
+
"learning_rate": 7.269952498697734e-06,
|
141 |
+
"loss": 0.5863,
|
142 |
+
"step": 19
|
143 |
+
},
|
144 |
+
{
|
145 |
+
"epoch": 4.0,
|
146 |
+
"grad_norm": 0.7159372503363389,
|
147 |
+
"learning_rate": 6.913417161825449e-06,
|
148 |
+
"loss": 0.5168,
|
149 |
+
"step": 20
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 4.2,
|
153 |
+
"grad_norm": 0.6326071799461145,
|
154 |
+
"learning_rate": 6.545084971874738e-06,
|
155 |
+
"loss": 0.5557,
|
156 |
+
"step": 21
|
157 |
+
},
|
158 |
+
{
|
159 |
+
"epoch": 4.4,
|
160 |
+
"grad_norm": 0.6658241588434325,
|
161 |
+
"learning_rate": 6.1672268192795285e-06,
|
162 |
+
"loss": 0.508,
|
163 |
+
"step": 22
|
164 |
+
},
|
165 |
+
{
|
166 |
+
"epoch": 4.6,
|
167 |
+
"grad_norm": 0.6751270923371709,
|
168 |
+
"learning_rate": 5.782172325201155e-06,
|
169 |
+
"loss": 0.5175,
|
170 |
+
"step": 23
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 4.8,
|
174 |
+
"grad_norm": 0.6833410706948667,
|
175 |
+
"learning_rate": 5.392295478639226e-06,
|
176 |
+
"loss": 0.5255,
|
177 |
+
"step": 24
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 5.0,
|
181 |
+
"grad_norm": 0.5225780964478525,
|
182 |
+
"learning_rate": 5e-06,
|
183 |
+
"loss": 0.5121,
|
184 |
+
"step": 25
|
185 |
+
},
|
186 |
+
{
|
187 |
+
"epoch": 5.2,
|
188 |
+
"grad_norm": 0.5633550776174144,
|
189 |
+
"learning_rate": 4.6077045213607765e-06,
|
190 |
+
"loss": 0.5303,
|
191 |
+
"step": 26
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 5.4,
|
195 |
+
"grad_norm": 0.5924653363920976,
|
196 |
+
"learning_rate": 4.217827674798845e-06,
|
197 |
+
"loss": 0.4973,
|
198 |
+
"step": 27
|
199 |
+
},
|
200 |
+
{
|
201 |
+
"epoch": 5.6,
|
202 |
+
"grad_norm": 0.552852206132828,
|
203 |
+
"learning_rate": 3.832773180720475e-06,
|
204 |
+
"loss": 0.4871,
|
205 |
+
"step": 28
|
206 |
+
},
|
207 |
+
{
|
208 |
+
"epoch": 5.8,
|
209 |
+
"grad_norm": 0.5776883808613259,
|
210 |
+
"learning_rate": 3.4549150281252635e-06,
|
211 |
+
"loss": 0.4487,
|
212 |
+
"step": 29
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 6.0,
|
216 |
+
"grad_norm": 0.4895405929555113,
|
217 |
+
"learning_rate": 3.0865828381745515e-06,
|
218 |
+
"loss": 0.4388,
|
219 |
+
"step": 30
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 6.2,
|
223 |
+
"grad_norm": 0.4780959379452755,
|
224 |
+
"learning_rate": 2.7300475013022666e-06,
|
225 |
+
"loss": 0.4701,
|
226 |
+
"step": 31
|
227 |
+
},
|
228 |
+
{
|
229 |
+
"epoch": 6.4,
|
230 |
+
"grad_norm": 0.4606550450982131,
|
231 |
+
"learning_rate": 2.387507176420256e-06,
|
232 |
+
"loss": 0.4479,
|
233 |
+
"step": 32
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 6.6,
|
237 |
+
"grad_norm": 0.4413367711818989,
|
238 |
+
"learning_rate": 2.061073738537635e-06,
|
239 |
+
"loss": 0.4342,
|
240 |
+
"step": 33
|
241 |
+
},
|
242 |
+
{
|
243 |
+
"epoch": 6.8,
|
244 |
+
"grad_norm": 0.4863997864000094,
|
245 |
+
"learning_rate": 1.7527597583490825e-06,
|
246 |
+
"loss": 0.4634,
|
247 |
+
"step": 34
|
248 |
+
},
|
249 |
+
{
|
250 |
+
"epoch": 7.0,
|
251 |
+
"grad_norm": 0.40965203054660637,
|
252 |
+
"learning_rate": 1.4644660940672628e-06,
|
253 |
+
"loss": 0.4259,
|
254 |
+
"step": 35
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 7.2,
|
258 |
+
"grad_norm": 0.40082374660314374,
|
259 |
+
"learning_rate": 1.1979701719998454e-06,
|
260 |
+
"loss": 0.43,
|
261 |
+
"step": 36
|
262 |
+
},
|
263 |
+
{
|
264 |
+
"epoch": 7.4,
|
265 |
+
"grad_norm": 0.39219707982489843,
|
266 |
+
"learning_rate": 9.549150281252633e-07,
|
267 |
+
"loss": 0.4493,
|
268 |
+
"step": 37
|
269 |
+
},
|
270 |
+
{
|
271 |
+
"epoch": 7.6,
|
272 |
+
"grad_norm": 0.38684340385601595,
|
273 |
+
"learning_rate": 7.367991782295392e-07,
|
274 |
+
"loss": 0.4106,
|
275 |
+
"step": 38
|
276 |
+
},
|
277 |
+
{
|
278 |
+
"epoch": 7.8,
|
279 |
+
"grad_norm": 0.4046721116720127,
|
280 |
+
"learning_rate": 5.449673790581611e-07,
|
281 |
+
"loss": 0.4297,
|
282 |
+
"step": 39
|
283 |
+
},
|
284 |
+
{
|
285 |
+
"epoch": 8.0,
|
286 |
+
"grad_norm": 0.3497288407967163,
|
287 |
+
"learning_rate": 3.8060233744356634e-07,
|
288 |
+
"loss": 0.4324,
|
289 |
+
"step": 40
|
290 |
+
},
|
291 |
+
{
|
292 |
+
"epoch": 8.2,
|
293 |
+
"grad_norm": 0.3546325260021714,
|
294 |
+
"learning_rate": 2.447174185242324e-07,
|
295 |
+
"loss": 0.3851,
|
296 |
+
"step": 41
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 8.4,
|
300 |
+
"grad_norm": 0.36300227768502863,
|
301 |
+
"learning_rate": 1.3815039801161723e-07,
|
302 |
+
"loss": 0.4473,
|
303 |
+
"step": 42
|
304 |
+
},
|
305 |
+
{
|
306 |
+
"epoch": 8.6,
|
307 |
+
"grad_norm": 0.34375696008092316,
|
308 |
+
"learning_rate": 6.15582970243117e-08,
|
309 |
+
"loss": 0.4257,
|
310 |
+
"step": 43
|
311 |
+
},
|
312 |
+
{
|
313 |
+
"epoch": 8.8,
|
314 |
+
"grad_norm": 0.3876409832379372,
|
315 |
+
"learning_rate": 1.541333133436018e-08,
|
316 |
+
"loss": 0.4344,
|
317 |
+
"step": 44
|
318 |
+
},
|
319 |
+
{
|
320 |
+
"epoch": 9.0,
|
321 |
+
"grad_norm": 0.3603006836778614,
|
322 |
+
"learning_rate": 0.0,
|
323 |
+
"loss": 0.4391,
|
324 |
+
"step": 45
|
325 |
+
},
|
326 |
+
{
|
327 |
+
"epoch": 9.0,
|
328 |
+
"step": 45,
|
329 |
+
"total_flos": 5.884502265246515e+16,
|
330 |
+
"train_loss": 0.5766020390722487,
|
331 |
+
"train_runtime": 3761.5623,
|
332 |
+
"train_samples_per_second": 0.756,
|
333 |
+
"train_steps_per_second": 0.012
|
334 |
+
}
|
335 |
+
],
|
336 |
+
"logging_steps": 1.0,
|
337 |
+
"max_steps": 45,
|
338 |
+
"num_input_tokens_seen": 0,
|
339 |
+
"num_train_epochs": 9,
|
340 |
+
"save_steps": 500,
|
341 |
+
"stateful_callbacks": {
|
342 |
+
"TrainerControl": {
|
343 |
+
"args": {
|
344 |
+
"should_epoch_stop": false,
|
345 |
+
"should_evaluate": false,
|
346 |
+
"should_log": false,
|
347 |
+
"should_save": true,
|
348 |
+
"should_training_stop": true
|
349 |
+
},
|
350 |
+
"attributes": {}
|
351 |
+
}
|
352 |
+
},
|
353 |
+
"total_flos": 5.884502265246515e+16,
|
354 |
+
"train_batch_size": 1,
|
355 |
+
"trial_name": null,
|
356 |
+
"trial_params": null
|
357 |
+
}
|
training_loss.png
ADDED
![]() |