End of training
Browse files- README.md +2 -1
- all_results.json +8 -0
- train_results.json +8 -0
- trainer_state.json +567 -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_lr2e5_epochs15
|
@@ -15,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
|
|
15 |
|
16 |
# 316_globalbatchsize64_lr2e5_epochs15
|
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_lr2e5_epochs15
|
|
|
16 |
|
17 |
# 316_globalbatchsize64_lr2e5_epochs15
|
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": 15.0,
|
3 |
+
"total_flos": 9.86030068989952e+16,
|
4 |
+
"train_loss": 0.28399625040590765,
|
5 |
+
"train_runtime": 6242.4075,
|
6 |
+
"train_samples_per_second": 0.759,
|
7 |
+
"train_steps_per_second": 0.012
|
8 |
+
}
|
train_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 15.0,
|
3 |
+
"total_flos": 9.86030068989952e+16,
|
4 |
+
"train_loss": 0.28399625040590765,
|
5 |
+
"train_runtime": 6242.4075,
|
6 |
+
"train_samples_per_second": 0.759,
|
7 |
+
"train_steps_per_second": 0.012
|
8 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,567 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 15.0,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 75,
|
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": 5.5820740662503425,
|
14 |
+
"learning_rate": 2.5e-06,
|
15 |
+
"loss": 0.832,
|
16 |
+
"step": 1
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.4,
|
20 |
+
"grad_norm": 6.008099573926324,
|
21 |
+
"learning_rate": 5e-06,
|
22 |
+
"loss": 0.8909,
|
23 |
+
"step": 2
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.6,
|
27 |
+
"grad_norm": 5.706742421629664,
|
28 |
+
"learning_rate": 7.500000000000001e-06,
|
29 |
+
"loss": 0.8975,
|
30 |
+
"step": 3
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.8,
|
34 |
+
"grad_norm": 4.258416334954996,
|
35 |
+
"learning_rate": 1e-05,
|
36 |
+
"loss": 0.8647,
|
37 |
+
"step": 4
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 1.0,
|
41 |
+
"grad_norm": 2.0857868158647546,
|
42 |
+
"learning_rate": 1.25e-05,
|
43 |
+
"loss": 0.7838,
|
44 |
+
"step": 5
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 1.2,
|
48 |
+
"grad_norm": 5.647280764828131,
|
49 |
+
"learning_rate": 1.5000000000000002e-05,
|
50 |
+
"loss": 0.8144,
|
51 |
+
"step": 6
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 1.4,
|
55 |
+
"grad_norm": 8.569379397089753,
|
56 |
+
"learning_rate": 1.7500000000000002e-05,
|
57 |
+
"loss": 0.8566,
|
58 |
+
"step": 7
|
59 |
+
},
|
60 |
+
{
|
61 |
+
"epoch": 1.6,
|
62 |
+
"grad_norm": 7.735280978633036,
|
63 |
+
"learning_rate": 2e-05,
|
64 |
+
"loss": 0.837,
|
65 |
+
"step": 8
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 1.8,
|
69 |
+
"grad_norm": 4.574011055853512,
|
70 |
+
"learning_rate": 1.9989008914857115e-05,
|
71 |
+
"loss": 0.7907,
|
72 |
+
"step": 9
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"epoch": 2.0,
|
76 |
+
"grad_norm": 3.2366031329888023,
|
77 |
+
"learning_rate": 1.9956059820218982e-05,
|
78 |
+
"loss": 0.7275,
|
79 |
+
"step": 10
|
80 |
+
},
|
81 |
+
{
|
82 |
+
"epoch": 2.2,
|
83 |
+
"grad_norm": 2.351602239413264,
|
84 |
+
"learning_rate": 1.990122514534651e-05,
|
85 |
+
"loss": 0.7024,
|
86 |
+
"step": 11
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 2.4,
|
90 |
+
"grad_norm": 1.824388674691251,
|
91 |
+
"learning_rate": 1.982462542875576e-05,
|
92 |
+
"loss": 0.6445,
|
93 |
+
"step": 12
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 2.6,
|
97 |
+
"grad_norm": 1.2250296782921972,
|
98 |
+
"learning_rate": 1.972642905324813e-05,
|
99 |
+
"loss": 0.6175,
|
100 |
+
"step": 13
|
101 |
+
},
|
102 |
+
{
|
103 |
+
"epoch": 2.8,
|
104 |
+
"grad_norm": 1.0940321158989026,
|
105 |
+
"learning_rate": 1.9606851875768404e-05,
|
106 |
+
"loss": 0.6367,
|
107 |
+
"step": 14
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 3.0,
|
111 |
+
"grad_norm": 1.062560084444676,
|
112 |
+
"learning_rate": 1.9466156752904344e-05,
|
113 |
+
"loss": 0.607,
|
114 |
+
"step": 15
|
115 |
+
},
|
116 |
+
{
|
117 |
+
"epoch": 3.2,
|
118 |
+
"grad_norm": 0.8418790140645667,
|
119 |
+
"learning_rate": 1.9304652963070868e-05,
|
120 |
+
"loss": 0.523,
|
121 |
+
"step": 16
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 3.4,
|
125 |
+
"grad_norm": 0.8596411326553409,
|
126 |
+
"learning_rate": 1.9122695526648968e-05,
|
127 |
+
"loss": 0.5878,
|
128 |
+
"step": 17
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 3.6,
|
132 |
+
"grad_norm": 2.683590177932973,
|
133 |
+
"learning_rate": 1.8920684425573865e-05,
|
134 |
+
"loss": 0.5315,
|
135 |
+
"step": 18
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 3.8,
|
139 |
+
"grad_norm": 1.0546413161380288,
|
140 |
+
"learning_rate": 1.8699063724087905e-05,
|
141 |
+
"loss": 0.5265,
|
142 |
+
"step": 19
|
143 |
+
},
|
144 |
+
{
|
145 |
+
"epoch": 4.0,
|
146 |
+
"grad_norm": 0.7205640524524933,
|
147 |
+
"learning_rate": 1.8458320592590976e-05,
|
148 |
+
"loss": 0.4572,
|
149 |
+
"step": 20
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 4.2,
|
153 |
+
"grad_norm": 0.8440191277505408,
|
154 |
+
"learning_rate": 1.8198984236734246e-05,
|
155 |
+
"loss": 0.4667,
|
156 |
+
"step": 21
|
157 |
+
},
|
158 |
+
{
|
159 |
+
"epoch": 4.4,
|
160 |
+
"grad_norm": 0.7832786494693724,
|
161 |
+
"learning_rate": 1.7921624734111292e-05,
|
162 |
+
"loss": 0.4186,
|
163 |
+
"step": 22
|
164 |
+
},
|
165 |
+
{
|
166 |
+
"epoch": 4.6,
|
167 |
+
"grad_norm": 0.7726547610804203,
|
168 |
+
"learning_rate": 1.762685178110382e-05,
|
169 |
+
"loss": 0.4149,
|
170 |
+
"step": 23
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 4.8,
|
174 |
+
"grad_norm": 0.7438101223901954,
|
175 |
+
"learning_rate": 1.731531335263669e-05,
|
176 |
+
"loss": 0.4219,
|
177 |
+
"step": 24
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 5.0,
|
181 |
+
"grad_norm": 0.9344642511130782,
|
182 |
+
"learning_rate": 1.698769427778842e-05,
|
183 |
+
"loss": 0.399,
|
184 |
+
"step": 25
|
185 |
+
},
|
186 |
+
{
|
187 |
+
"epoch": 5.2,
|
188 |
+
"grad_norm": 0.8455099974475572,
|
189 |
+
"learning_rate": 1.664471473438822e-05,
|
190 |
+
"loss": 0.3884,
|
191 |
+
"step": 26
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 5.4,
|
195 |
+
"grad_norm": 0.7685465960306714,
|
196 |
+
"learning_rate": 1.628712866590885e-05,
|
197 |
+
"loss": 0.3403,
|
198 |
+
"step": 27
|
199 |
+
},
|
200 |
+
{
|
201 |
+
"epoch": 5.6,
|
202 |
+
"grad_norm": 0.7248937279387117,
|
203 |
+
"learning_rate": 1.5915722124135227e-05,
|
204 |
+
"loss": 0.3294,
|
205 |
+
"step": 28
|
206 |
+
},
|
207 |
+
{
|
208 |
+
"epoch": 5.8,
|
209 |
+
"grad_norm": 0.8361135069555778,
|
210 |
+
"learning_rate": 1.5531311541251995e-05,
|
211 |
+
"loss": 0.2918,
|
212 |
+
"step": 29
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 6.0,
|
216 |
+
"grad_norm": 0.6214130974166043,
|
217 |
+
"learning_rate": 1.513474193514842e-05,
|
218 |
+
"loss": 0.2839,
|
219 |
+
"step": 30
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 6.2,
|
223 |
+
"grad_norm": 0.8149573400371725,
|
224 |
+
"learning_rate": 1.4726885051885654e-05,
|
225 |
+
"loss": 0.2609,
|
226 |
+
"step": 31
|
227 |
+
},
|
228 |
+
{
|
229 |
+
"epoch": 6.4,
|
230 |
+
"grad_norm": 1.0360067290148387,
|
231 |
+
"learning_rate": 1.4308637449409705e-05,
|
232 |
+
"loss": 0.2481,
|
233 |
+
"step": 32
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 6.6,
|
237 |
+
"grad_norm": 0.7209378246648206,
|
238 |
+
"learning_rate": 1.3880918526722497e-05,
|
239 |
+
"loss": 0.2202,
|
240 |
+
"step": 33
|
241 |
+
},
|
242 |
+
{
|
243 |
+
"epoch": 6.8,
|
244 |
+
"grad_norm": 0.7516647486638462,
|
245 |
+
"learning_rate": 1.344466850284333e-05,
|
246 |
+
"loss": 0.2246,
|
247 |
+
"step": 34
|
248 |
+
},
|
249 |
+
{
|
250 |
+
"epoch": 7.0,
|
251 |
+
"grad_norm": 0.5980564556653549,
|
252 |
+
"learning_rate": 1.300084635000341e-05,
|
253 |
+
"loss": 0.2106,
|
254 |
+
"step": 35
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 7.2,
|
258 |
+
"grad_norm": 0.7302897741304413,
|
259 |
+
"learning_rate": 1.2550427685616767e-05,
|
260 |
+
"loss": 0.1665,
|
261 |
+
"step": 36
|
262 |
+
},
|
263 |
+
{
|
264 |
+
"epoch": 7.4,
|
265 |
+
"grad_norm": 0.7955427448866793,
|
266 |
+
"learning_rate": 1.2094402627661447e-05,
|
267 |
+
"loss": 0.1765,
|
268 |
+
"step": 37
|
269 |
+
},
|
270 |
+
{
|
271 |
+
"epoch": 7.6,
|
272 |
+
"grad_norm": 0.6947342716788957,
|
273 |
+
"learning_rate": 1.1633773618185302e-05,
|
274 |
+
"loss": 0.1476,
|
275 |
+
"step": 38
|
276 |
+
},
|
277 |
+
{
|
278 |
+
"epoch": 7.8,
|
279 |
+
"grad_norm": 0.666613403120678,
|
280 |
+
"learning_rate": 1.1169553219720828e-05,
|
281 |
+
"loss": 0.1556,
|
282 |
+
"step": 39
|
283 |
+
},
|
284 |
+
{
|
285 |
+
"epoch": 8.0,
|
286 |
+
"grad_norm": 0.7246014420654745,
|
287 |
+
"learning_rate": 1.070276188945293e-05,
|
288 |
+
"loss": 0.1497,
|
289 |
+
"step": 40
|
290 |
+
},
|
291 |
+
{
|
292 |
+
"epoch": 8.2,
|
293 |
+
"grad_norm": 0.5352518212418655,
|
294 |
+
"learning_rate": 1.0234425736032607e-05,
|
295 |
+
"loss": 0.1054,
|
296 |
+
"step": 41
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 8.4,
|
300 |
+
"grad_norm": 0.582620097153326,
|
301 |
+
"learning_rate": 9.765574263967397e-06,
|
302 |
+
"loss": 0.1116,
|
303 |
+
"step": 42
|
304 |
+
},
|
305 |
+
{
|
306 |
+
"epoch": 8.6,
|
307 |
+
"grad_norm": 0.7722198112951959,
|
308 |
+
"learning_rate": 9.297238110547075e-06,
|
309 |
+
"loss": 0.1009,
|
310 |
+
"step": 43
|
311 |
+
},
|
312 |
+
{
|
313 |
+
"epoch": 8.8,
|
314 |
+
"grad_norm": 0.7769161831075575,
|
315 |
+
"learning_rate": 8.830446780279175e-06,
|
316 |
+
"loss": 0.1081,
|
317 |
+
"step": 44
|
318 |
+
},
|
319 |
+
{
|
320 |
+
"epoch": 9.0,
|
321 |
+
"grad_norm": 0.5267516336891753,
|
322 |
+
"learning_rate": 8.366226381814698e-06,
|
323 |
+
"loss": 0.0924,
|
324 |
+
"step": 45
|
325 |
+
},
|
326 |
+
{
|
327 |
+
"epoch": 9.2,
|
328 |
+
"grad_norm": 0.6815118378301678,
|
329 |
+
"learning_rate": 7.905597372338558e-06,
|
330 |
+
"loss": 0.0788,
|
331 |
+
"step": 46
|
332 |
+
},
|
333 |
+
{
|
334 |
+
"epoch": 9.4,
|
335 |
+
"grad_norm": 0.6096654056601541,
|
336 |
+
"learning_rate": 7.449572314383237e-06,
|
337 |
+
"loss": 0.0704,
|
338 |
+
"step": 47
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 9.6,
|
342 |
+
"grad_norm": 0.4975893608049929,
|
343 |
+
"learning_rate": 6.999153649996595e-06,
|
344 |
+
"loss": 0.0608,
|
345 |
+
"step": 48
|
346 |
+
},
|
347 |
+
{
|
348 |
+
"epoch": 9.8,
|
349 |
+
"grad_norm": 0.5089023783497421,
|
350 |
+
"learning_rate": 6.555331497156671e-06,
|
351 |
+
"loss": 0.0637,
|
352 |
+
"step": 49
|
353 |
+
},
|
354 |
+
{
|
355 |
+
"epoch": 10.0,
|
356 |
+
"grad_norm": 0.7005654148661791,
|
357 |
+
"learning_rate": 6.119081473277502e-06,
|
358 |
+
"loss": 0.0613,
|
359 |
+
"step": 50
|
360 |
+
},
|
361 |
+
{
|
362 |
+
"epoch": 10.2,
|
363 |
+
"grad_norm": 0.46142897491616885,
|
364 |
+
"learning_rate": 5.6913625505902966e-06,
|
365 |
+
"loss": 0.0411,
|
366 |
+
"step": 51
|
367 |
+
},
|
368 |
+
{
|
369 |
+
"epoch": 10.4,
|
370 |
+
"grad_norm": 0.3561622014470182,
|
371 |
+
"learning_rate": 5.273114948114346e-06,
|
372 |
+
"loss": 0.0455,
|
373 |
+
"step": 52
|
374 |
+
},
|
375 |
+
{
|
376 |
+
"epoch": 10.6,
|
377 |
+
"grad_norm": 0.35910813816061127,
|
378 |
+
"learning_rate": 4.865258064851579e-06,
|
379 |
+
"loss": 0.0448,
|
380 |
+
"step": 53
|
381 |
+
},
|
382 |
+
{
|
383 |
+
"epoch": 10.8,
|
384 |
+
"grad_norm": 0.3319709763565861,
|
385 |
+
"learning_rate": 4.468688458748006e-06,
|
386 |
+
"loss": 0.0374,
|
387 |
+
"step": 54
|
388 |
+
},
|
389 |
+
{
|
390 |
+
"epoch": 11.0,
|
391 |
+
"grad_norm": 0.33083801499691196,
|
392 |
+
"learning_rate": 4.084277875864776e-06,
|
393 |
+
"loss": 0.0364,
|
394 |
+
"step": 55
|
395 |
+
},
|
396 |
+
{
|
397 |
+
"epoch": 11.2,
|
398 |
+
"grad_norm": 0.321908630777182,
|
399 |
+
"learning_rate": 3.712871334091154e-06,
|
400 |
+
"loss": 0.0324,
|
401 |
+
"step": 56
|
402 |
+
},
|
403 |
+
{
|
404 |
+
"epoch": 11.4,
|
405 |
+
"grad_norm": 0.28605671407511096,
|
406 |
+
"learning_rate": 3.355285265611784e-06,
|
407 |
+
"loss": 0.0277,
|
408 |
+
"step": 57
|
409 |
+
},
|
410 |
+
{
|
411 |
+
"epoch": 11.6,
|
412 |
+
"grad_norm": 0.2613134954891153,
|
413 |
+
"learning_rate": 3.0123057222115835e-06,
|
414 |
+
"loss": 0.0254,
|
415 |
+
"step": 58
|
416 |
+
},
|
417 |
+
{
|
418 |
+
"epoch": 11.8,
|
419 |
+
"grad_norm": 0.26765400526301425,
|
420 |
+
"learning_rate": 2.6846866473633126e-06,
|
421 |
+
"loss": 0.0252,
|
422 |
+
"step": 59
|
423 |
+
},
|
424 |
+
{
|
425 |
+
"epoch": 12.0,
|
426 |
+
"grad_norm": 0.24309760367630573,
|
427 |
+
"learning_rate": 2.373148218896182e-06,
|
428 |
+
"loss": 0.0264,
|
429 |
+
"step": 60
|
430 |
+
},
|
431 |
+
{
|
432 |
+
"epoch": 12.2,
|
433 |
+
"grad_norm": 0.20368260468560698,
|
434 |
+
"learning_rate": 2.078375265888707e-06,
|
435 |
+
"loss": 0.0245,
|
436 |
+
"step": 61
|
437 |
+
},
|
438 |
+
{
|
439 |
+
"epoch": 12.4,
|
440 |
+
"grad_norm": 0.23111592875956644,
|
441 |
+
"learning_rate": 1.8010157632657544e-06,
|
442 |
+
"loss": 0.0217,
|
443 |
+
"step": 62
|
444 |
+
},
|
445 |
+
{
|
446 |
+
"epoch": 12.6,
|
447 |
+
"grad_norm": 0.21424368315616057,
|
448 |
+
"learning_rate": 1.5416794074090258e-06,
|
449 |
+
"loss": 0.02,
|
450 |
+
"step": 63
|
451 |
+
},
|
452 |
+
{
|
453 |
+
"epoch": 12.8,
|
454 |
+
"grad_norm": 0.23486365442991192,
|
455 |
+
"learning_rate": 1.300936275912098e-06,
|
456 |
+
"loss": 0.0204,
|
457 |
+
"step": 64
|
458 |
+
},
|
459 |
+
{
|
460 |
+
"epoch": 13.0,
|
461 |
+
"grad_norm": 0.1966413751838419,
|
462 |
+
"learning_rate": 1.0793155744261352e-06,
|
463 |
+
"loss": 0.0162,
|
464 |
+
"step": 65
|
465 |
+
},
|
466 |
+
{
|
467 |
+
"epoch": 13.2,
|
468 |
+
"grad_norm": 0.1590508395588302,
|
469 |
+
"learning_rate": 8.773044733510338e-07,
|
470 |
+
"loss": 0.0181,
|
471 |
+
"step": 66
|
472 |
+
},
|
473 |
+
{
|
474 |
+
"epoch": 13.4,
|
475 |
+
"grad_norm": 0.14626626011540572,
|
476 |
+
"learning_rate": 6.953470369291349e-07,
|
477 |
+
"loss": 0.0143,
|
478 |
+
"step": 67
|
479 |
+
},
|
480 |
+
{
|
481 |
+
"epoch": 13.6,
|
482 |
+
"grad_norm": 0.16591443824765065,
|
483 |
+
"learning_rate": 5.33843247095659e-07,
|
484 |
+
"loss": 0.0194,
|
485 |
+
"step": 68
|
486 |
+
},
|
487 |
+
{
|
488 |
+
"epoch": 13.8,
|
489 |
+
"grad_norm": 0.1709470448469729,
|
490 |
+
"learning_rate": 3.931481242315993e-07,
|
491 |
+
"loss": 0.0168,
|
492 |
+
"step": 69
|
493 |
+
},
|
494 |
+
{
|
495 |
+
"epoch": 14.0,
|
496 |
+
"grad_norm": 0.14577825961665566,
|
497 |
+
"learning_rate": 2.735709467518699e-07,
|
498 |
+
"loss": 0.0134,
|
499 |
+
"step": 70
|
500 |
+
},
|
501 |
+
{
|
502 |
+
"epoch": 14.2,
|
503 |
+
"grad_norm": 0.13945121547728515,
|
504 |
+
"learning_rate": 1.7537457124423896e-07,
|
505 |
+
"loss": 0.0134,
|
506 |
+
"step": 71
|
507 |
+
},
|
508 |
+
{
|
509 |
+
"epoch": 14.4,
|
510 |
+
"grad_norm": 0.14310398445495884,
|
511 |
+
"learning_rate": 9.877485465349057e-08,
|
512 |
+
"loss": 0.0152,
|
513 |
+
"step": 72
|
514 |
+
},
|
515 |
+
{
|
516 |
+
"epoch": 14.6,
|
517 |
+
"grad_norm": 0.1404230436657977,
|
518 |
+
"learning_rate": 4.394017978101905e-08,
|
519 |
+
"loss": 0.0137,
|
520 |
+
"step": 73
|
521 |
+
},
|
522 |
+
{
|
523 |
+
"epoch": 14.8,
|
524 |
+
"grad_norm": 0.16581805815771083,
|
525 |
+
"learning_rate": 1.099108514288627e-08,
|
526 |
+
"loss": 0.0161,
|
527 |
+
"step": 74
|
528 |
+
},
|
529 |
+
{
|
530 |
+
"epoch": 15.0,
|
531 |
+
"grad_norm": 0.14366857308957606,
|
532 |
+
"learning_rate": 0.0,
|
533 |
+
"loss": 0.0168,
|
534 |
+
"step": 75
|
535 |
+
},
|
536 |
+
{
|
537 |
+
"epoch": 15.0,
|
538 |
+
"step": 75,
|
539 |
+
"total_flos": 9.86030068989952e+16,
|
540 |
+
"train_loss": 0.28399625040590765,
|
541 |
+
"train_runtime": 6242.4075,
|
542 |
+
"train_samples_per_second": 0.759,
|
543 |
+
"train_steps_per_second": 0.012
|
544 |
+
}
|
545 |
+
],
|
546 |
+
"logging_steps": 1.0,
|
547 |
+
"max_steps": 75,
|
548 |
+
"num_input_tokens_seen": 0,
|
549 |
+
"num_train_epochs": 15,
|
550 |
+
"save_steps": 500,
|
551 |
+
"stateful_callbacks": {
|
552 |
+
"TrainerControl": {
|
553 |
+
"args": {
|
554 |
+
"should_epoch_stop": false,
|
555 |
+
"should_evaluate": false,
|
556 |
+
"should_log": false,
|
557 |
+
"should_save": true,
|
558 |
+
"should_training_stop": true
|
559 |
+
},
|
560 |
+
"attributes": {}
|
561 |
+
}
|
562 |
+
},
|
563 |
+
"total_flos": 9.86030068989952e+16,
|
564 |
+
"train_batch_size": 1,
|
565 |
+
"trial_name": null,
|
566 |
+
"trial_params": null
|
567 |
+
}
|
training_loss.png
ADDED
![]() |