Model save
Browse files- README.md +2 -2
- all_results.json +5 -5
- generation_config.json +1 -1
- model-00001-of-00003.safetensors +2 -2
- model-00002-of-00003.safetensors +1 -1
- model-00003-of-00003.safetensors +2 -2
- model.safetensors.index.json +1 -1
- runs/Jun18_02-31-46_n136-129-074/events.out.tfevents.1718649387.n136-129-074.1961484.0 +2 -2
- train_results.json +5 -5
- trainer_state.json +231 -411
- training_args.bin +1 -1
README.md
CHANGED
@@ -32,7 +32,7 @@ More information needed
|
|
32 |
### Training hyperparameters
|
33 |
|
34 |
The following hyperparameters were used during training:
|
35 |
-
- learning_rate:
|
36 |
- train_batch_size: 8
|
37 |
- eval_batch_size: 8
|
38 |
- seed: 42
|
@@ -44,7 +44,7 @@ The following hyperparameters were used during training:
|
|
44 |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
45 |
- lr_scheduler_type: cosine
|
46 |
- lr_scheduler_warmup_ratio: 0.1
|
47 |
-
- num_epochs:
|
48 |
|
49 |
### Training results
|
50 |
|
|
|
32 |
### Training hyperparameters
|
33 |
|
34 |
The following hyperparameters were used during training:
|
35 |
+
- learning_rate: 5e-08
|
36 |
- train_batch_size: 8
|
37 |
- eval_batch_size: 8
|
38 |
- seed: 42
|
|
|
44 |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
45 |
- lr_scheduler_type: cosine
|
46 |
- lr_scheduler_warmup_ratio: 0.1
|
47 |
+
- num_epochs: 1
|
48 |
|
49 |
### Training results
|
50 |
|
all_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
-
"epoch":
|
3 |
-
"train_loss": 0.
|
4 |
-
"train_runtime":
|
5 |
-
"train_samples":
|
6 |
-
"train_samples_per_second": 8.
|
7 |
"train_steps_per_second": 0.034
|
8 |
}
|
|
|
1 |
{
|
2 |
+
"epoch": 1.0,
|
3 |
+
"train_loss": 0.49109079287602353,
|
4 |
+
"train_runtime": 5330.839,
|
5 |
+
"train_samples": 46672,
|
6 |
+
"train_samples_per_second": 8.755,
|
7 |
"train_steps_per_second": 0.034
|
8 |
}
|
generation_config.json
CHANGED
@@ -1,6 +1,6 @@
|
|
1 |
{
|
2 |
"_from_model_config": true,
|
3 |
"bos_token_id": 1,
|
4 |
-
"eos_token_id":
|
5 |
"transformers_version": "4.39.3"
|
6 |
}
|
|
|
1 |
{
|
2 |
"_from_model_config": true,
|
3 |
"bos_token_id": 1,
|
4 |
+
"eos_token_id": 2,
|
5 |
"transformers_version": "4.39.3"
|
6 |
}
|
model-00001-of-00003.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
-
size
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:80c511d14471ab18870f10f923c8787de845cdc70bd963e129a608dd18f3fc60
|
3 |
+
size 4943162336
|
model-00002-of-00003.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 4999819336
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:c8c474648050e838c831aabb3699a61ac3756493e671f2a842828d65675367af
|
3 |
size 4999819336
|
model-00003-of-00003.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
-
size
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:2335066937ff02bdedb3b53830a851b36f4126b5264e844e5f7337e06e1c6efd
|
3 |
+
size 4540516344
|
model.safetensors.index.json
CHANGED
@@ -1,6 +1,6 @@
|
|
1 |
{
|
2 |
"metadata": {
|
3 |
-
"total_size":
|
4 |
},
|
5 |
"weight_map": {
|
6 |
"lm_head.weight": "model-00003-of-00003.safetensors",
|
|
|
1 |
{
|
2 |
"metadata": {
|
3 |
+
"total_size": 14483464192
|
4 |
},
|
5 |
"weight_map": {
|
6 |
"lm_head.weight": "model-00003-of-00003.safetensors",
|
runs/Jun18_02-31-46_n136-129-074/events.out.tfevents.1718649387.n136-129-074.1961484.0
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
-
size
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:154d3e21a3f1857573cbd485ca2aab1bc0ca7fa6c9015161948c9c3cf1ee365f
|
3 |
+
size 18181
|
train_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
-
"epoch":
|
3 |
-
"train_loss": 0.
|
4 |
-
"train_runtime":
|
5 |
-
"train_samples":
|
6 |
-
"train_samples_per_second": 8.
|
7 |
"train_steps_per_second": 0.034
|
8 |
}
|
|
|
1 |
{
|
2 |
+
"epoch": 1.0,
|
3 |
+
"train_loss": 0.49109079287602353,
|
4 |
+
"train_runtime": 5330.839,
|
5 |
+
"train_samples": 46672,
|
6 |
+
"train_samples_per_second": 8.755,
|
7 |
"train_steps_per_second": 0.034
|
8 |
}
|
trainer_state.json
CHANGED
@@ -1,21 +1,21 @@
|
|
1 |
{
|
2 |
"best_metric": null,
|
3 |
"best_model_checkpoint": null,
|
4 |
-
"epoch":
|
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": 0.01,
|
13 |
-
"grad_norm":
|
14 |
-
"learning_rate":
|
15 |
-
"logits/chosen": -
|
16 |
-
"logits/rejected": -
|
17 |
-
"logps/chosen": -
|
18 |
-
"logps/rejected": -
|
19 |
"loss": 0.6931,
|
20 |
"rewards/accuracies": 0.0,
|
21 |
"rewards/chosen": 0.0,
|
@@ -24,469 +24,289 @@
|
|
24 |
"step": 1
|
25 |
},
|
26 |
{
|
27 |
-
"epoch": 0.
|
28 |
-
"grad_norm":
|
29 |
-
"learning_rate":
|
30 |
-
"logits/chosen": -
|
31 |
-
"logits/rejected": -
|
32 |
-
"logps/chosen": -
|
33 |
-
"logps/rejected": -
|
34 |
-
"loss": 0.
|
35 |
-
"rewards/accuracies": 0.
|
36 |
-
"rewards/chosen":
|
37 |
-
"rewards/margins": -0.
|
38 |
-
"rewards/rejected":
|
39 |
"step": 10
|
40 |
},
|
41 |
{
|
42 |
-
"epoch": 0.
|
43 |
-
"grad_norm":
|
44 |
-
"learning_rate":
|
45 |
-
"logits/chosen": -
|
46 |
-
"logits/rejected": -
|
47 |
-
"logps/chosen": -
|
48 |
-
"logps/rejected": -
|
49 |
-
"loss": 0.
|
50 |
-
"rewards/accuracies": 0.
|
51 |
-
"rewards/chosen": -0.
|
52 |
-
"rewards/margins":
|
53 |
-
"rewards/rejected": 0.
|
54 |
"step": 20
|
55 |
},
|
56 |
{
|
57 |
-
"epoch": 0.
|
58 |
-
"grad_norm":
|
59 |
-
"learning_rate":
|
60 |
-
"logits/chosen": -
|
61 |
-
"logits/rejected": -
|
62 |
-
"logps/chosen": -
|
63 |
-
"logps/rejected": -
|
64 |
-
"loss": 0.
|
65 |
-
"rewards/accuracies": 0.
|
66 |
-
"rewards/chosen": -0.
|
67 |
-
"rewards/margins":
|
68 |
-
"rewards/rejected": -0.
|
69 |
"step": 30
|
70 |
},
|
71 |
{
|
72 |
-
"epoch": 0.
|
73 |
-
"grad_norm":
|
74 |
-
"learning_rate":
|
75 |
-
"logits/chosen": -
|
76 |
-
"logits/rejected": -
|
77 |
-
"logps/chosen": -
|
78 |
-
"logps/rejected": -307.
|
79 |
-
"loss": 0.
|
80 |
-
"rewards/accuracies": 0.
|
81 |
-
"rewards/chosen": 0.
|
82 |
-
"rewards/margins": 0.
|
83 |
-
"rewards/rejected": -0.
|
84 |
"step": 40
|
85 |
},
|
86 |
{
|
87 |
-
"epoch": 0.
|
88 |
-
"grad_norm":
|
89 |
-
"learning_rate":
|
90 |
-
"logits/chosen": -
|
91 |
-
"logits/rejected": -
|
92 |
-
"logps/chosen": -
|
93 |
-
"logps/rejected": -
|
94 |
-
"loss": 0.
|
95 |
-
"rewards/accuracies": 0.
|
96 |
-
"rewards/chosen": 0.
|
97 |
-
"rewards/margins": 0.
|
98 |
-
"rewards/rejected": 0.
|
99 |
"step": 50
|
100 |
},
|
101 |
{
|
102 |
-
"epoch": 0.
|
103 |
-
"grad_norm":
|
104 |
-
"learning_rate":
|
105 |
-
"logits/chosen": -
|
106 |
-
"logits/rejected": -
|
107 |
-
"logps/chosen": -
|
108 |
-
"logps/rejected": -
|
109 |
-
"loss": 0.
|
110 |
-
"rewards/accuracies": 0.
|
111 |
-
"rewards/chosen": 0.
|
112 |
-
"rewards/margins": 0.
|
113 |
-
"rewards/rejected": 0.
|
114 |
"step": 60
|
115 |
},
|
116 |
{
|
117 |
-
"epoch": 0.
|
118 |
-
"grad_norm":
|
119 |
-
"learning_rate":
|
120 |
-
"logits/chosen": -
|
121 |
-
"logits/rejected": -
|
122 |
-
"logps/chosen": -
|
123 |
-
"logps/rejected": -
|
124 |
-
"loss": 0.
|
125 |
-
"rewards/accuracies": 0.
|
126 |
-
"rewards/chosen": 0.
|
127 |
-
"rewards/margins": 0.
|
128 |
-
"rewards/rejected": 0.
|
129 |
"step": 70
|
130 |
},
|
131 |
{
|
132 |
-
"epoch": 0.
|
133 |
-
"grad_norm":
|
134 |
-
"learning_rate":
|
135 |
-
"logits/chosen": -
|
136 |
-
"logits/rejected": -
|
137 |
-
"logps/chosen": -
|
138 |
-
"logps/rejected": -
|
139 |
-
"loss": 0.
|
140 |
-
"rewards/accuracies": 0.
|
141 |
-
"rewards/chosen": 0.
|
142 |
-
"rewards/margins": 0.
|
143 |
-
"rewards/rejected": 0.
|
144 |
"step": 80
|
145 |
},
|
146 |
{
|
147 |
-
"epoch": 0.
|
148 |
-
"grad_norm":
|
149 |
-
"learning_rate":
|
150 |
-
"logits/chosen": -
|
151 |
-
"logits/rejected": -
|
152 |
-
"logps/chosen": -
|
153 |
-
"logps/rejected": -307.
|
154 |
-
"loss": 0.
|
155 |
-
"rewards/accuracies": 0.
|
156 |
-
"rewards/chosen": 0.
|
157 |
-
"rewards/margins":
|
158 |
-
"rewards/rejected": 0.
|
159 |
"step": 90
|
160 |
},
|
161 |
{
|
162 |
-
"epoch": 0.
|
163 |
-
"grad_norm":
|
164 |
-
"learning_rate":
|
165 |
-
"logits/chosen": -
|
166 |
-
"logits/rejected": -
|
167 |
-
"logps/chosen": -
|
168 |
-
"logps/rejected": -
|
169 |
-
"loss": 0.
|
170 |
-
"rewards/accuracies": 0.
|
171 |
-
"rewards/chosen": 0.
|
172 |
-
"rewards/margins": 0.
|
173 |
-
"rewards/rejected": 0.
|
174 |
"step": 100
|
175 |
},
|
176 |
{
|
177 |
-
"epoch": 0.
|
178 |
-
"grad_norm":
|
179 |
-
"learning_rate":
|
180 |
-
"logits/chosen": -
|
181 |
-
"logits/rejected": -
|
182 |
-
"logps/chosen": -
|
183 |
-
"logps/rejected": -
|
184 |
-
"loss": 0.
|
185 |
-
"rewards/accuracies": 0.
|
186 |
-
"rewards/chosen": 0.
|
187 |
-
"rewards/margins":
|
188 |
-
"rewards/rejected": 0.
|
189 |
"step": 110
|
190 |
},
|
191 |
{
|
192 |
-
"epoch": 0.
|
193 |
-
"grad_norm":
|
194 |
-
"learning_rate":
|
195 |
-
"logits/chosen": -
|
196 |
-
"logits/rejected": -
|
197 |
-
"logps/chosen": -
|
198 |
-
"logps/rejected": -
|
199 |
-
"loss": 0.
|
200 |
-
"rewards/accuracies": 0.
|
201 |
-
"rewards/chosen":
|
202 |
-
"rewards/margins":
|
203 |
-
"rewards/rejected": 0.
|
204 |
"step": 120
|
205 |
},
|
206 |
{
|
207 |
-
"epoch": 0.
|
208 |
-
"grad_norm":
|
209 |
-
"learning_rate":
|
210 |
-
"logits/chosen": -
|
211 |
-
"logits/rejected": -
|
212 |
-
"logps/chosen": -
|
213 |
-
"logps/rejected": -
|
214 |
-
"loss": 0.
|
215 |
-
"rewards/accuracies": 0.
|
216 |
-
"rewards/chosen": 0.
|
217 |
-
"rewards/margins": 0.
|
218 |
-
"rewards/rejected": 0.
|
219 |
"step": 130
|
220 |
},
|
221 |
{
|
222 |
-
"epoch": 0.
|
223 |
-
"grad_norm":
|
224 |
-
"learning_rate":
|
225 |
-
"logits/chosen": -
|
226 |
-
"logits/rejected": -
|
227 |
-
"logps/chosen": -
|
228 |
-
"logps/rejected": -
|
229 |
-
"loss": 0.
|
230 |
-
"rewards/accuracies": 0.
|
231 |
-
"rewards/chosen": 0.
|
232 |
-
"rewards/margins":
|
233 |
-
"rewards/rejected": 0.
|
234 |
"step": 140
|
235 |
},
|
236 |
{
|
237 |
-
"epoch":
|
238 |
-
"grad_norm":
|
239 |
-
"learning_rate":
|
240 |
-
"logits/chosen": -
|
241 |
-
"logits/rejected": -
|
242 |
-
"logps/chosen": -
|
243 |
-
"logps/rejected": -
|
244 |
-
"loss": 0.
|
245 |
-
"rewards/accuracies": 0.
|
246 |
-
"rewards/chosen": 0.
|
247 |
-
"rewards/margins":
|
248 |
-
"rewards/rejected": 0.
|
249 |
"step": 150
|
250 |
},
|
251 |
{
|
252 |
-
"epoch":
|
253 |
-
"grad_norm":
|
254 |
-
"learning_rate":
|
255 |
-
"logits/chosen": -
|
256 |
-
"logits/rejected": -
|
257 |
-
"logps/chosen": -
|
258 |
-
"logps/rejected": -
|
259 |
-
"loss": 0.
|
260 |
-
"rewards/accuracies": 0.
|
261 |
-
"rewards/chosen":
|
262 |
-
"rewards/margins":
|
263 |
-
"rewards/rejected": 0.
|
264 |
"step": 160
|
265 |
},
|
266 |
{
|
267 |
-
"epoch":
|
268 |
-
"grad_norm":
|
269 |
-
"learning_rate":
|
270 |
-
"logits/chosen": -
|
271 |
-
"logits/rejected": -
|
272 |
-
"logps/chosen": -
|
273 |
-
"logps/rejected": -
|
274 |
-
"loss": 0.
|
275 |
-
"rewards/accuracies": 0.
|
276 |
-
"rewards/chosen":
|
277 |
-
"rewards/margins":
|
278 |
-
"rewards/rejected": 0.
|
279 |
"step": 170
|
280 |
},
|
281 |
{
|
282 |
-
"epoch":
|
283 |
-
"grad_norm":
|
284 |
-
"learning_rate":
|
285 |
-
"logits/chosen": -
|
286 |
-
"logits/rejected": -
|
287 |
-
"logps/chosen": -
|
288 |
-
"logps/rejected": -
|
289 |
-
"loss": 0.
|
290 |
-
"rewards/accuracies": 0.
|
291 |
-
"rewards/chosen": 0.
|
292 |
-
"rewards/margins":
|
293 |
-
"rewards/rejected": 0.
|
294 |
"step": 180
|
295 |
},
|
296 |
{
|
297 |
-
"epoch": 1.
|
298 |
-
"
|
299 |
-
"learning_rate": 3.56598383644455e-09,
|
300 |
-
"logits/chosen": -4.231461524963379,
|
301 |
-
"logits/rejected": -4.367356777191162,
|
302 |
-
"logps/chosen": -326.8230895996094,
|
303 |
-
"logps/rejected": -299.7027587890625,
|
304 |
-
"loss": 0.5969,
|
305 |
-
"rewards/accuracies": 0.6968749761581421,
|
306 |
-
"rewards/chosen": 0.7501948475837708,
|
307 |
-
"rewards/margins": 0.35921385884284973,
|
308 |
-
"rewards/rejected": 0.39098095893859863,
|
309 |
-
"step": 190
|
310 |
-
},
|
311 |
-
{
|
312 |
-
"epoch": 1.33,
|
313 |
-
"grad_norm": 963.9694294192556,
|
314 |
-
"learning_rate": 3.0196011698042157e-09,
|
315 |
-
"logits/chosen": -4.249307155609131,
|
316 |
-
"logits/rejected": -4.317980766296387,
|
317 |
-
"logps/chosen": -313.9615783691406,
|
318 |
-
"logps/rejected": -293.1615905761719,
|
319 |
-
"loss": 0.5922,
|
320 |
-
"rewards/accuracies": 0.6781250238418579,
|
321 |
-
"rewards/chosen": 0.7425140142440796,
|
322 |
-
"rewards/margins": 0.3114904761314392,
|
323 |
-
"rewards/rejected": 0.4310235381126404,
|
324 |
-
"step": 200
|
325 |
-
},
|
326 |
-
{
|
327 |
-
"epoch": 1.4,
|
328 |
-
"grad_norm": 1038.4899227109647,
|
329 |
-
"learning_rate": 2.5000000000000013e-09,
|
330 |
-
"logits/chosen": -4.174517631530762,
|
331 |
-
"logits/rejected": -4.288783073425293,
|
332 |
-
"logps/chosen": -327.461181640625,
|
333 |
-
"logps/rejected": -304.9690246582031,
|
334 |
-
"loss": 0.5952,
|
335 |
-
"rewards/accuracies": 0.699999988079071,
|
336 |
-
"rewards/chosen": 0.7787834405899048,
|
337 |
-
"rewards/margins": 0.3926675319671631,
|
338 |
-
"rewards/rejected": 0.3861159086227417,
|
339 |
-
"step": 210
|
340 |
-
},
|
341 |
-
{
|
342 |
-
"epoch": 1.46,
|
343 |
-
"grad_norm": 992.6867793357102,
|
344 |
-
"learning_rate": 2.0142070414860704e-09,
|
345 |
-
"logits/chosen": -4.165514945983887,
|
346 |
-
"logits/rejected": -4.316833019256592,
|
347 |
-
"logps/chosen": -358.1416931152344,
|
348 |
-
"logps/rejected": -323.22998046875,
|
349 |
-
"loss": 0.5994,
|
350 |
-
"rewards/accuracies": 0.6781250238418579,
|
351 |
-
"rewards/chosen": 0.8851108551025391,
|
352 |
-
"rewards/margins": 0.35754603147506714,
|
353 |
-
"rewards/rejected": 0.5275647640228271,
|
354 |
-
"step": 220
|
355 |
-
},
|
356 |
-
{
|
357 |
-
"epoch": 1.53,
|
358 |
-
"grad_norm": 918.0076197376386,
|
359 |
-
"learning_rate": 1.5687918106563326e-09,
|
360 |
-
"logits/chosen": -4.234222412109375,
|
361 |
-
"logits/rejected": -4.369565486907959,
|
362 |
-
"logps/chosen": -328.3675537109375,
|
363 |
-
"logps/rejected": -303.726806640625,
|
364 |
-
"loss": 0.5919,
|
365 |
-
"rewards/accuracies": 0.65625,
|
366 |
-
"rewards/chosen": 0.8034540414810181,
|
367 |
-
"rewards/margins": 0.2974655032157898,
|
368 |
-
"rewards/rejected": 0.5059884786605835,
|
369 |
-
"step": 230
|
370 |
-
},
|
371 |
-
{
|
372 |
-
"epoch": 1.6,
|
373 |
-
"grad_norm": 944.3107996293463,
|
374 |
-
"learning_rate": 1.1697777844051105e-09,
|
375 |
-
"logits/chosen": -4.202380180358887,
|
376 |
-
"logits/rejected": -4.353602409362793,
|
377 |
-
"logps/chosen": -326.75604248046875,
|
378 |
-
"logps/rejected": -297.03619384765625,
|
379 |
-
"loss": 0.588,
|
380 |
-
"rewards/accuracies": 0.659375011920929,
|
381 |
-
"rewards/chosen": 0.8500032424926758,
|
382 |
-
"rewards/margins": 0.3546527922153473,
|
383 |
-
"rewards/rejected": 0.4953504502773285,
|
384 |
-
"step": 240
|
385 |
-
},
|
386 |
-
{
|
387 |
-
"epoch": 1.66,
|
388 |
-
"grad_norm": 944.2690060176395,
|
389 |
-
"learning_rate": 8.225609429353187e-10,
|
390 |
-
"logits/chosen": -4.173297882080078,
|
391 |
-
"logits/rejected": -4.368635654449463,
|
392 |
-
"logps/chosen": -321.2724914550781,
|
393 |
-
"logps/rejected": -293.50311279296875,
|
394 |
-
"loss": 0.5856,
|
395 |
-
"rewards/accuracies": 0.731249988079071,
|
396 |
-
"rewards/chosen": 0.8207529783248901,
|
397 |
-
"rewards/margins": 0.40889453887939453,
|
398 |
-
"rewards/rejected": 0.4118584990501404,
|
399 |
-
"step": 250
|
400 |
-
},
|
401 |
-
{
|
402 |
-
"epoch": 1.73,
|
403 |
-
"grad_norm": 957.8767493880096,
|
404 |
-
"learning_rate": 5.318367983829391e-10,
|
405 |
-
"logits/chosen": -4.18589448928833,
|
406 |
-
"logits/rejected": -4.284361839294434,
|
407 |
-
"logps/chosen": -348.6470031738281,
|
408 |
-
"logps/rejected": -326.4360046386719,
|
409 |
-
"loss": 0.5895,
|
410 |
-
"rewards/accuracies": 0.690625011920929,
|
411 |
-
"rewards/chosen": 0.8914071917533875,
|
412 |
-
"rewards/margins": 0.37524908781051636,
|
413 |
-
"rewards/rejected": 0.5161582231521606,
|
414 |
-
"step": 260
|
415 |
-
},
|
416 |
-
{
|
417 |
-
"epoch": 1.8,
|
418 |
-
"grad_norm": 949.249423709826,
|
419 |
-
"learning_rate": 3.015368960704584e-10,
|
420 |
-
"logits/chosen": -4.271857738494873,
|
421 |
-
"logits/rejected": -4.4089555740356445,
|
422 |
-
"logps/chosen": -325.19049072265625,
|
423 |
-
"logps/rejected": -302.7436828613281,
|
424 |
-
"loss": 0.5938,
|
425 |
-
"rewards/accuracies": 0.6781250238418579,
|
426 |
-
"rewards/chosen": 0.9044697880744934,
|
427 |
-
"rewards/margins": 0.38229116797447205,
|
428 |
-
"rewards/rejected": 0.522178590297699,
|
429 |
-
"step": 270
|
430 |
-
},
|
431 |
-
{
|
432 |
-
"epoch": 1.86,
|
433 |
-
"grad_norm": 932.1311904270524,
|
434 |
-
"learning_rate": 1.3477564710088098e-10,
|
435 |
-
"logits/chosen": -4.163296222686768,
|
436 |
-
"logits/rejected": -4.306557655334473,
|
437 |
-
"logps/chosen": -327.57257080078125,
|
438 |
-
"logps/rejected": -306.2264099121094,
|
439 |
-
"loss": 0.5865,
|
440 |
-
"rewards/accuracies": 0.715624988079071,
|
441 |
-
"rewards/chosen": 0.8713304400444031,
|
442 |
-
"rewards/margins": 0.4181024134159088,
|
443 |
-
"rewards/rejected": 0.45322805643081665,
|
444 |
-
"step": 280
|
445 |
-
},
|
446 |
-
{
|
447 |
-
"epoch": 1.93,
|
448 |
-
"grad_norm": 884.8124763448137,
|
449 |
-
"learning_rate": 3.380821129028488e-11,
|
450 |
-
"logits/chosen": -4.1040120124816895,
|
451 |
-
"logits/rejected": -4.260913372039795,
|
452 |
-
"logps/chosen": -334.97686767578125,
|
453 |
-
"logps/rejected": -312.01617431640625,
|
454 |
-
"loss": 0.5924,
|
455 |
-
"rewards/accuracies": 0.6812499761581421,
|
456 |
-
"rewards/chosen": 0.9016163945198059,
|
457 |
-
"rewards/margins": 0.4117993414402008,
|
458 |
-
"rewards/rejected": 0.48981720209121704,
|
459 |
-
"step": 290
|
460 |
-
},
|
461 |
-
{
|
462 |
-
"epoch": 2.0,
|
463 |
-
"grad_norm": 959.7419745329076,
|
464 |
-
"learning_rate": 0.0,
|
465 |
-
"logits/chosen": -4.31270170211792,
|
466 |
-
"logits/rejected": -4.468858242034912,
|
467 |
-
"logps/chosen": -314.4400939941406,
|
468 |
-
"logps/rejected": -284.8276672363281,
|
469 |
-
"loss": 0.5825,
|
470 |
-
"rewards/accuracies": 0.6875,
|
471 |
-
"rewards/chosen": 0.82757169008255,
|
472 |
-
"rewards/margins": 0.36657077074050903,
|
473 |
-
"rewards/rejected": 0.4610009789466858,
|
474 |
-
"step": 300
|
475 |
-
},
|
476 |
-
{
|
477 |
-
"epoch": 2.0,
|
478 |
-
"step": 300,
|
479 |
"total_flos": 0.0,
|
480 |
-
"train_loss": 0.
|
481 |
-
"train_runtime":
|
482 |
-
"train_samples_per_second": 8.
|
483 |
"train_steps_per_second": 0.034
|
484 |
}
|
485 |
],
|
486 |
"logging_steps": 10,
|
487 |
-
"max_steps":
|
488 |
"num_input_tokens_seen": 0,
|
489 |
-
"num_train_epochs":
|
490 |
"save_steps": 100,
|
491 |
"total_flos": 0.0,
|
492 |
"train_batch_size": 8,
|
|
|
1 |
{
|
2 |
"best_metric": null,
|
3 |
"best_model_checkpoint": null,
|
4 |
+
"epoch": 0.9972602739726028,
|
5 |
"eval_steps": 500,
|
6 |
+
"global_step": 182,
|
7 |
"is_hyper_param_search": false,
|
8 |
"is_local_process_zero": true,
|
9 |
"is_world_process_zero": true,
|
10 |
"log_history": [
|
11 |
{
|
12 |
"epoch": 0.01,
|
13 |
+
"grad_norm": 450.1434249789045,
|
14 |
+
"learning_rate": 2.6315789473684206e-09,
|
15 |
+
"logits/chosen": -0.7030794620513916,
|
16 |
+
"logits/rejected": -0.3951629400253296,
|
17 |
+
"logps/chosen": -341.73382568359375,
|
18 |
+
"logps/rejected": -292.9862060546875,
|
19 |
"loss": 0.6931,
|
20 |
"rewards/accuracies": 0.0,
|
21 |
"rewards/chosen": 0.0,
|
|
|
24 |
"step": 1
|
25 |
},
|
26 |
{
|
27 |
+
"epoch": 0.05,
|
28 |
+
"grad_norm": 427.11862533612515,
|
29 |
+
"learning_rate": 2.6315789473684208e-08,
|
30 |
+
"logits/chosen": -0.8544511795043945,
|
31 |
+
"logits/rejected": -0.5010538101196289,
|
32 |
+
"logps/chosen": -343.0840148925781,
|
33 |
+
"logps/rejected": -297.6950378417969,
|
34 |
+
"loss": 0.6989,
|
35 |
+
"rewards/accuracies": 0.4201388955116272,
|
36 |
+
"rewards/chosen": 0.006387188099324703,
|
37 |
+
"rewards/margins": -0.002455425448715687,
|
38 |
+
"rewards/rejected": 0.008842612616717815,
|
39 |
"step": 10
|
40 |
},
|
41 |
{
|
42 |
+
"epoch": 0.11,
|
43 |
+
"grad_norm": 420.6890953363653,
|
44 |
+
"learning_rate": 4.9995356760283366e-08,
|
45 |
+
"logits/chosen": -0.8882249593734741,
|
46 |
+
"logits/rejected": -0.5170028805732727,
|
47 |
+
"logps/chosen": -333.65777587890625,
|
48 |
+
"logps/rejected": -287.80816650390625,
|
49 |
+
"loss": 0.6881,
|
50 |
+
"rewards/accuracies": 0.5375000238418579,
|
51 |
+
"rewards/chosen": -0.012563005089759827,
|
52 |
+
"rewards/margins": 0.03462809696793556,
|
53 |
+
"rewards/rejected": -0.04719109833240509,
|
54 |
"step": 20
|
55 |
},
|
56 |
{
|
57 |
+
"epoch": 0.16,
|
58 |
+
"grad_norm": 398.42327340439533,
|
59 |
+
"learning_rate": 4.944025194969586e-08,
|
60 |
+
"logits/chosen": -0.9182589650154114,
|
61 |
+
"logits/rejected": -0.5222188234329224,
|
62 |
+
"logps/chosen": -332.426025390625,
|
63 |
+
"logps/rejected": -290.18304443359375,
|
64 |
+
"loss": 0.6356,
|
65 |
+
"rewards/accuracies": 0.640625,
|
66 |
+
"rewards/chosen": -0.035035934299230576,
|
67 |
+
"rewards/margins": 0.15518921613693237,
|
68 |
+
"rewards/rejected": -0.19022515416145325,
|
69 |
"step": 30
|
70 |
},
|
71 |
{
|
72 |
+
"epoch": 0.22,
|
73 |
+
"grad_norm": 361.5856784181511,
|
74 |
+
"learning_rate": 4.798007040388211e-08,
|
75 |
+
"logits/chosen": -0.8608843684196472,
|
76 |
+
"logits/rejected": -0.5015160441398621,
|
77 |
+
"logps/chosen": -337.7128601074219,
|
78 |
+
"logps/rejected": -307.75726318359375,
|
79 |
+
"loss": 0.5811,
|
80 |
+
"rewards/accuracies": 0.7406250238418579,
|
81 |
+
"rewards/chosen": 0.006648591253906488,
|
82 |
+
"rewards/margins": 0.3918178081512451,
|
83 |
+
"rewards/rejected": -0.38516920804977417,
|
84 |
"step": 40
|
85 |
},
|
86 |
{
|
87 |
+
"epoch": 0.27,
|
88 |
+
"grad_norm": 334.47329593106986,
|
89 |
+
"learning_rate": 4.5668885883990063e-08,
|
90 |
+
"logits/chosen": -0.8879793286323547,
|
91 |
+
"logits/rejected": -0.4423498511314392,
|
92 |
+
"logps/chosen": -332.4192199707031,
|
93 |
+
"logps/rejected": -296.57025146484375,
|
94 |
+
"loss": 0.5272,
|
95 |
+
"rewards/accuracies": 0.78125,
|
96 |
+
"rewards/chosen": 0.24052493274211884,
|
97 |
+
"rewards/margins": 0.5968745946884155,
|
98 |
+
"rewards/rejected": -0.3563496172428131,
|
99 |
"step": 50
|
100 |
},
|
101 |
{
|
102 |
+
"epoch": 0.33,
|
103 |
+
"grad_norm": 339.682806652983,
|
104 |
+
"learning_rate": 4.2592286678719626e-08,
|
105 |
+
"logits/chosen": -0.8047763109207153,
|
106 |
+
"logits/rejected": -0.4120696485042572,
|
107 |
+
"logps/chosen": -330.0352478027344,
|
108 |
+
"logps/rejected": -295.6581726074219,
|
109 |
+
"loss": 0.5016,
|
110 |
+
"rewards/accuracies": 0.7718750238418579,
|
111 |
+
"rewards/chosen": 0.5128915905952454,
|
112 |
+
"rewards/margins": 0.7231279015541077,
|
113 |
+
"rewards/rejected": -0.21023626625537872,
|
114 |
"step": 60
|
115 |
},
|
116 |
{
|
117 |
+
"epoch": 0.38,
|
118 |
+
"grad_norm": 294.8745864628234,
|
119 |
+
"learning_rate": 3.886420608016766e-08,
|
120 |
+
"logits/chosen": -1.0426691770553589,
|
121 |
+
"logits/rejected": -0.600997805595398,
|
122 |
+
"logps/chosen": -348.37408447265625,
|
123 |
+
"logps/rejected": -304.3432922363281,
|
124 |
+
"loss": 0.4851,
|
125 |
+
"rewards/accuracies": 0.753125011920929,
|
126 |
+
"rewards/chosen": 0.823379397392273,
|
127 |
+
"rewards/margins": 0.7953158617019653,
|
128 |
+
"rewards/rejected": 0.02806355059146881,
|
129 |
"step": 70
|
130 |
},
|
131 |
{
|
132 |
+
"epoch": 0.44,
|
133 |
+
"grad_norm": 272.6474819647033,
|
134 |
+
"learning_rate": 3.462270318133136e-08,
|
135 |
+
"logits/chosen": -0.9253625869750977,
|
136 |
+
"logits/rejected": -0.3548746705055237,
|
137 |
+
"logps/chosen": -341.5060119628906,
|
138 |
+
"logps/rejected": -294.5276794433594,
|
139 |
+
"loss": 0.4535,
|
140 |
+
"rewards/accuracies": 0.815625011920929,
|
141 |
+
"rewards/chosen": 0.7518247961997986,
|
142 |
+
"rewards/margins": 0.94850093126297,
|
143 |
+
"rewards/rejected": -0.19667614996433258,
|
144 |
"step": 80
|
145 |
},
|
146 |
{
|
147 |
+
"epoch": 0.49,
|
148 |
+
"grad_norm": 281.1147370449449,
|
149 |
+
"learning_rate": 3.0024850241696124e-08,
|
150 |
+
"logits/chosen": -1.0233888626098633,
|
151 |
+
"logits/rejected": -0.6329795122146606,
|
152 |
+
"logps/chosen": -337.8768310546875,
|
153 |
+
"logps/rejected": -307.80621337890625,
|
154 |
+
"loss": 0.4505,
|
155 |
+
"rewards/accuracies": 0.796875,
|
156 |
+
"rewards/chosen": 0.9118101000785828,
|
157 |
+
"rewards/margins": 1.0233700275421143,
|
158 |
+
"rewards/rejected": -0.1115599274635315,
|
159 |
"step": 90
|
160 |
},
|
161 |
{
|
162 |
+
"epoch": 0.55,
|
163 |
+
"grad_norm": 270.95326246127075,
|
164 |
+
"learning_rate": 2.5240915953099518e-08,
|
165 |
+
"logits/chosen": -0.8435468673706055,
|
166 |
+
"logits/rejected": -0.528495192527771,
|
167 |
+
"logps/chosen": -316.45147705078125,
|
168 |
+
"logps/rejected": -284.6639099121094,
|
169 |
+
"loss": 0.434,
|
170 |
+
"rewards/accuracies": 0.7875000238418579,
|
171 |
+
"rewards/chosen": 0.6949013471603394,
|
172 |
+
"rewards/margins": 0.9432865381240845,
|
173 |
+
"rewards/rejected": -0.24838528037071228,
|
174 |
"step": 100
|
175 |
},
|
176 |
{
|
177 |
+
"epoch": 0.6,
|
178 |
+
"grad_norm": 246.8924504601372,
|
179 |
+
"learning_rate": 2.0448060012437142e-08,
|
180 |
+
"logits/chosen": -0.7631230354309082,
|
181 |
+
"logits/rejected": -0.46078410744667053,
|
182 |
+
"logps/chosen": -332.81842041015625,
|
183 |
+
"logps/rejected": -302.547119140625,
|
184 |
+
"loss": 0.4323,
|
185 |
+
"rewards/accuracies": 0.8125,
|
186 |
+
"rewards/chosen": 0.88267582654953,
|
187 |
+
"rewards/margins": 1.0535722970962524,
|
188 |
+
"rewards/rejected": -0.17089635133743286,
|
189 |
"step": 110
|
190 |
},
|
191 |
{
|
192 |
+
"epoch": 0.66,
|
193 |
+
"grad_norm": 249.2911347992777,
|
194 |
+
"learning_rate": 1.5823772505167697e-08,
|
195 |
+
"logits/chosen": -0.8469772338867188,
|
196 |
+
"logits/rejected": -0.47505950927734375,
|
197 |
+
"logps/chosen": -345.8771667480469,
|
198 |
+
"logps/rejected": -308.70025634765625,
|
199 |
+
"loss": 0.421,
|
200 |
+
"rewards/accuracies": 0.8343750238418579,
|
201 |
+
"rewards/chosen": 1.0309433937072754,
|
202 |
+
"rewards/margins": 1.2240039110183716,
|
203 |
+
"rewards/rejected": -0.19306042790412903,
|
204 |
"step": 120
|
205 |
},
|
206 |
{
|
207 |
+
"epoch": 0.71,
|
208 |
+
"grad_norm": 236.63634286693804,
|
209 |
+
"learning_rate": 1.1539301053796948e-08,
|
210 |
+
"logits/chosen": -0.8259572982788086,
|
211 |
+
"logits/rejected": -0.48908624053001404,
|
212 |
+
"logps/chosen": -326.006591796875,
|
213 |
+
"logps/rejected": -298.5427551269531,
|
214 |
+
"loss": 0.4317,
|
215 |
+
"rewards/accuracies": 0.7406250238418579,
|
216 |
+
"rewards/chosen": 0.7692808508872986,
|
217 |
+
"rewards/margins": 0.9658697843551636,
|
218 |
+
"rewards/rejected": -0.1965889036655426,
|
219 |
"step": 130
|
220 |
},
|
221 |
{
|
222 |
+
"epoch": 0.77,
|
223 |
+
"grad_norm": 277.9055914170381,
|
224 |
+
"learning_rate": 7.753309138609703e-09,
|
225 |
+
"logits/chosen": -1.0100657939910889,
|
226 |
+
"logits/rejected": -0.518832266330719,
|
227 |
+
"logps/chosen": -335.1830749511719,
|
228 |
+
"logps/rejected": -293.55389404296875,
|
229 |
+
"loss": 0.4203,
|
230 |
+
"rewards/accuracies": 0.7906249761581421,
|
231 |
+
"rewards/chosen": 0.938341498374939,
|
232 |
+
"rewards/margins": 1.1349132061004639,
|
233 |
+
"rewards/rejected": -0.19657166302204132,
|
234 |
"step": 140
|
235 |
},
|
236 |
{
|
237 |
+
"epoch": 0.82,
|
238 |
+
"grad_norm": 280.40678633901416,
|
239 |
+
"learning_rate": 4.606000437098476e-09,
|
240 |
+
"logits/chosen": -0.9020172953605652,
|
241 |
+
"logits/rejected": -0.5801359415054321,
|
242 |
+
"logps/chosen": -328.5782775878906,
|
243 |
+
"logps/rejected": -298.58416748046875,
|
244 |
+
"loss": 0.417,
|
245 |
+
"rewards/accuracies": 0.768750011920929,
|
246 |
+
"rewards/chosen": 0.8313944935798645,
|
247 |
+
"rewards/margins": 1.0033814907073975,
|
248 |
+
"rewards/rejected": -0.1719868779182434,
|
249 |
"step": 150
|
250 |
},
|
251 |
{
|
252 |
+
"epoch": 0.88,
|
253 |
+
"grad_norm": 281.95412461514485,
|
254 |
+
"learning_rate": 2.2139267708310455e-09,
|
255 |
+
"logits/chosen": -0.941261887550354,
|
256 |
+
"logits/rejected": -0.5286608934402466,
|
257 |
+
"logps/chosen": -337.65704345703125,
|
258 |
+
"logps/rejected": -302.15557861328125,
|
259 |
+
"loss": 0.4195,
|
260 |
+
"rewards/accuracies": 0.831250011920929,
|
261 |
+
"rewards/chosen": 1.0939249992370605,
|
262 |
+
"rewards/margins": 1.298884391784668,
|
263 |
+
"rewards/rejected": -0.20495939254760742,
|
264 |
"step": 160
|
265 |
},
|
266 |
{
|
267 |
+
"epoch": 0.93,
|
268 |
+
"grad_norm": 257.0608061838707,
|
269 |
+
"learning_rate": 6.656719329999699e-10,
|
270 |
+
"logits/chosen": -0.6665180921554565,
|
271 |
+
"logits/rejected": -0.36475566029548645,
|
272 |
+
"logps/chosen": -323.7983703613281,
|
273 |
+
"logps/rejected": -292.5258483886719,
|
274 |
+
"loss": 0.4248,
|
275 |
+
"rewards/accuracies": 0.8343750238418579,
|
276 |
+
"rewards/chosen": 1.0974645614624023,
|
277 |
+
"rewards/margins": 1.273900032043457,
|
278 |
+
"rewards/rejected": -0.1764354258775711,
|
279 |
"step": 170
|
280 |
},
|
281 |
{
|
282 |
+
"epoch": 0.99,
|
283 |
+
"grad_norm": 245.05015884181918,
|
284 |
+
"learning_rate": 1.8571234092507048e-11,
|
285 |
+
"logits/chosen": -0.8604642152786255,
|
286 |
+
"logits/rejected": -0.526264488697052,
|
287 |
+
"logps/chosen": -320.47540283203125,
|
288 |
+
"logps/rejected": -290.77569580078125,
|
289 |
+
"loss": 0.4234,
|
290 |
+
"rewards/accuracies": 0.856249988079071,
|
291 |
+
"rewards/chosen": 0.9940341711044312,
|
292 |
+
"rewards/margins": 1.222551941871643,
|
293 |
+
"rewards/rejected": -0.22851786017417908,
|
294 |
"step": 180
|
295 |
},
|
296 |
{
|
297 |
+
"epoch": 1.0,
|
298 |
+
"step": 182,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
299 |
"total_flos": 0.0,
|
300 |
+
"train_loss": 0.49109079287602353,
|
301 |
+
"train_runtime": 5330.839,
|
302 |
+
"train_samples_per_second": 8.755,
|
303 |
"train_steps_per_second": 0.034
|
304 |
}
|
305 |
],
|
306 |
"logging_steps": 10,
|
307 |
+
"max_steps": 182,
|
308 |
"num_input_tokens_seen": 0,
|
309 |
+
"num_train_epochs": 1,
|
310 |
"save_steps": 100,
|
311 |
"total_flos": 0.0,
|
312 |
"train_batch_size": 8,
|
training_args.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 6328
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:511f849ca93a0f3688a329d8a84efe863ebada7f409c9ad22d389e79b9db4345
|
3 |
size 6328
|