Model save
Browse files- README.md +17 -1
- all_results.json +5 -5
- model-00001-of-00003.safetensors +1 -1
- model-00002-of-00003.safetensors +1 -1
- model-00003-of-00003.safetensors +1 -1
- train_results.json +5 -5
- trainer_state.json +617 -455
README.md
CHANGED
@@ -16,6 +16,16 @@ should probably proofread and complete it, then remove this comment. -->
|
|
16 |
# zephyr-7b-dpo-full
|
17 |
|
18 |
This model is a fine-tuned version of [HuggingFaceH4/mistral-7b-sft-beta](https://huggingface.co/HuggingFaceH4/mistral-7b-sft-beta) on the None dataset.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
19 |
|
20 |
## Model description
|
21 |
|
@@ -37,7 +47,7 @@ The following hyperparameters were used during training:
|
|
37 |
- learning_rate: 5e-07
|
38 |
- train_batch_size: 8
|
39 |
- eval_batch_size: 8
|
40 |
-
- seed:
|
41 |
- distributed_type: multi-GPU
|
42 |
- num_devices: 8
|
43 |
- gradient_accumulation_steps: 2
|
@@ -50,6 +60,12 @@ The following hyperparameters were used during training:
|
|
50 |
|
51 |
### Training results
|
52 |
|
|
|
|
|
|
|
|
|
|
|
|
|
53 |
|
54 |
|
55 |
### Framework versions
|
|
|
16 |
# zephyr-7b-dpo-full
|
17 |
|
18 |
This model is a fine-tuned version of [HuggingFaceH4/mistral-7b-sft-beta](https://huggingface.co/HuggingFaceH4/mistral-7b-sft-beta) on the None dataset.
|
19 |
+
It achieves the following results on the evaluation set:
|
20 |
+
- Loss: 0.0069
|
21 |
+
- Rewards/chosen: -2.6575
|
22 |
+
- Rewards/rejected: -5.6311
|
23 |
+
- Rewards/accuracies: 0.6914
|
24 |
+
- Rewards/margins: 2.9735
|
25 |
+
- Logps/rejected: -820.4592
|
26 |
+
- Logps/chosen: -522.7909
|
27 |
+
- Logits/rejected: -2.4988
|
28 |
+
- Logits/chosen: -2.5238
|
29 |
|
30 |
## Model description
|
31 |
|
|
|
47 |
- learning_rate: 5e-07
|
48 |
- train_batch_size: 8
|
49 |
- eval_batch_size: 8
|
50 |
+
- seed: 42
|
51 |
- distributed_type: multi-GPU
|
52 |
- num_devices: 8
|
53 |
- gradient_accumulation_steps: 2
|
|
|
60 |
|
61 |
### Training results
|
62 |
|
63 |
+
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|
64 |
+
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
|
65 |
+
| 0.0071 | 0.21 | 100 | 0.0072 | -0.8922 | -1.6083 | 0.6523 | 0.7161 | -418.1843 | -346.2603 | -2.6342 | -2.6489 |
|
66 |
+
| 0.0068 | 0.42 | 200 | 0.0070 | -1.7394 | -3.1970 | 0.6680 | 1.4577 | -577.0542 | -430.9749 | -2.6058 | -2.6219 |
|
67 |
+
| 0.0069 | 0.63 | 300 | 0.0069 | -2.2358 | -4.6352 | 0.6992 | 2.3994 | -720.8748 | -480.6185 | -2.5115 | -2.5351 |
|
68 |
+
| 0.0067 | 0.84 | 400 | 0.0069 | -2.6575 | -5.6311 | 0.6914 | 2.9735 | -820.4592 | -522.7909 | -2.4988 | -2.5238 |
|
69 |
|
70 |
|
71 |
### Framework versions
|
all_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
"epoch": 1.0,
|
3 |
-
"train_loss": 0.
|
4 |
-
"train_runtime":
|
5 |
-
"train_samples":
|
6 |
-
"train_samples_per_second":
|
7 |
-
"train_steps_per_second": 0.
|
8 |
}
|
|
|
1 |
{
|
2 |
"epoch": 1.0,
|
3 |
+
"train_loss": 0.007060731609184373,
|
4 |
+
"train_runtime": 4232.7551,
|
5 |
+
"train_samples": 61134,
|
6 |
+
"train_samples_per_second": 14.443,
|
7 |
+
"train_steps_per_second": 0.113
|
8 |
}
|
model-00001-of-00003.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 4943162336
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:8118a565a3d3b99cddea7bd517315c6f04fad9ab28c7adf7a86e47ac8f748a4e
|
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 sha256:485d1a2bc4d5f0be525df784e2f4b0ace0a55d5990d3f7f85d4aa190ce78c8d1
|
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 4540516344
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:c790488581fcd33e4d3efa897f475860ceddc6631b53ab000d6f2a5fd8380a7c
|
3 |
size 4540516344
|
train_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
"epoch": 1.0,
|
3 |
-
"train_loss": 0.
|
4 |
-
"train_runtime":
|
5 |
-
"train_samples":
|
6 |
-
"train_samples_per_second":
|
7 |
-
"train_steps_per_second": 0.
|
8 |
}
|
|
|
1 |
{
|
2 |
"epoch": 1.0,
|
3 |
+
"train_loss": 0.007060731609184373,
|
4 |
+
"train_runtime": 4232.7551,
|
5 |
+
"train_samples": 61134,
|
6 |
+
"train_samples_per_second": 14.443,
|
7 |
+
"train_steps_per_second": 0.113
|
8 |
}
|
trainer_state.json
CHANGED
@@ -1,21 +1,21 @@
|
|
1 |
{
|
2 |
"best_metric": null,
|
3 |
"best_model_checkpoint": null,
|
4 |
-
"epoch": 0
|
5 |
-
"eval_steps":
|
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": 0.0,
|
13 |
-
"learning_rate": 1.
|
14 |
-
"logits/chosen": -2.
|
15 |
-
"logits/rejected": -2.
|
16 |
-
"logps/chosen": -
|
17 |
-
"logps/rejected": -
|
18 |
-
"loss": 0.
|
19 |
"rewards/accuracies": 0.0,
|
20 |
"rewards/chosen": 0.0,
|
21 |
"rewards/margins": 0.0,
|
@@ -24,578 +24,740 @@
|
|
24 |
},
|
25 |
{
|
26 |
"epoch": 0.02,
|
27 |
-
"learning_rate": 1.
|
28 |
-
"logits/chosen": -2.
|
29 |
-
"logits/rejected": -2.
|
30 |
-
"logps/chosen": -
|
31 |
-
"logps/rejected": -
|
32 |
-
"loss": 0.
|
33 |
-
"rewards/accuracies": 0.
|
34 |
-
"rewards/chosen": 0.
|
35 |
-
"rewards/margins":
|
36 |
-
"rewards/rejected": -
|
37 |
"step": 10
|
38 |
},
|
39 |
{
|
40 |
-
"epoch": 0.
|
41 |
-
"learning_rate": 2.
|
42 |
-
"logits/chosen": -2.
|
43 |
-
"logits/rejected": -2.
|
44 |
-
"logps/chosen": -
|
45 |
-
"logps/rejected": -
|
46 |
-
"loss": 0.
|
47 |
-
"rewards/accuracies": 0.
|
48 |
-
"rewards/chosen": 0.
|
49 |
-
"rewards/margins": 0.
|
50 |
-
"rewards/rejected": -0.
|
51 |
"step": 20
|
52 |
},
|
53 |
{
|
54 |
-
"epoch": 0.
|
55 |
-
"learning_rate": 3.
|
56 |
-
"logits/chosen": -2.
|
57 |
-
"logits/rejected": -2.
|
58 |
-
"logps/chosen": -
|
59 |
-
"logps/rejected": -
|
60 |
-
"loss": 0.
|
61 |
-
"rewards/accuracies": 0.
|
62 |
-
"rewards/chosen": 0.
|
63 |
-
"rewards/margins": 0.
|
64 |
-
"rewards/rejected": -0.
|
65 |
"step": 30
|
66 |
},
|
67 |
{
|
68 |
-
"epoch": 0.
|
69 |
-
"learning_rate": 4.
|
70 |
-
"logits/chosen": -2.
|
71 |
-
"logits/rejected": -2.
|
72 |
-
"logps/chosen": -
|
73 |
-
"logps/rejected": -
|
74 |
-
"loss": 0.
|
75 |
-
"rewards/accuracies": 0.
|
76 |
-
"rewards/chosen": 0.
|
77 |
-
"rewards/margins": 0.
|
78 |
-
"rewards/rejected": -0.
|
79 |
"step": 40
|
80 |
},
|
81 |
{
|
82 |
-
"epoch": 0.
|
83 |
-
"learning_rate": 4.
|
84 |
-
"logits/chosen": -2.
|
85 |
-
"logits/rejected": -2.
|
86 |
-
"logps/chosen": -
|
87 |
-
"logps/rejected": -
|
88 |
-
"loss": 0.
|
89 |
-
"rewards/accuracies": 0.
|
90 |
-
"rewards/chosen":
|
91 |
-
"rewards/margins": 0.
|
92 |
-
"rewards/rejected":
|
93 |
"step": 50
|
94 |
},
|
95 |
{
|
96 |
-
"epoch": 0.
|
97 |
-
"learning_rate": 4.
|
98 |
-
"logits/chosen": -2.
|
99 |
-
"logits/rejected": -2.
|
100 |
-
"logps/chosen": -
|
101 |
-
"logps/rejected": -
|
102 |
-
"loss": 0.
|
103 |
-
"rewards/accuracies": 0.
|
104 |
-
"rewards/chosen":
|
105 |
-
"rewards/margins":
|
106 |
-
"rewards/rejected": -
|
107 |
"step": 60
|
108 |
},
|
109 |
{
|
110 |
-
"epoch": 0.
|
111 |
-
"learning_rate": 4.
|
112 |
-
"logits/chosen": -2.
|
113 |
-
"logits/rejected": -2.
|
114 |
-
"logps/chosen": -
|
115 |
-
"logps/rejected": -
|
116 |
-
"loss": 0.
|
117 |
-
"rewards/accuracies": 0.
|
118 |
-
"rewards/chosen": -0.
|
119 |
-
"rewards/margins":
|
120 |
-
"rewards/rejected": -
|
121 |
"step": 70
|
122 |
},
|
123 |
{
|
124 |
-
"epoch": 0.
|
125 |
-
"learning_rate": 4.
|
126 |
-
"logits/chosen": -2.
|
127 |
-
"logits/rejected": -2.
|
128 |
-
"logps/chosen": -
|
129 |
-
"logps/rejected": -
|
130 |
-
"loss": 0.
|
131 |
-
"rewards/accuracies": 0.
|
132 |
-
"rewards/chosen": -0.
|
133 |
-
"rewards/margins":
|
134 |
-
"rewards/rejected": -
|
135 |
"step": 80
|
136 |
},
|
137 |
{
|
138 |
-
"epoch": 0.
|
139 |
-
"learning_rate": 4.
|
140 |
-
"logits/chosen": -2.
|
141 |
-
"logits/rejected": -2.
|
142 |
-
"logps/chosen": -
|
143 |
-
"logps/rejected": -
|
144 |
-
"loss": 0.
|
145 |
-
"rewards/accuracies": 0.
|
146 |
-
"rewards/chosen": -0.
|
147 |
-
"rewards/margins":
|
148 |
-
"rewards/rejected": -
|
149 |
"step": 90
|
150 |
},
|
151 |
{
|
152 |
-
"epoch": 0.
|
153 |
-
"learning_rate": 4.
|
154 |
-
"logits/chosen": -2.
|
155 |
-
"logits/rejected": -2.
|
156 |
-
"logps/chosen": -
|
157 |
-
"logps/rejected": -
|
158 |
-
"loss": 0.
|
159 |
-
"rewards/accuracies": 0.
|
160 |
-
"rewards/chosen": -
|
161 |
-
"rewards/margins":
|
162 |
-
"rewards/rejected": -
|
163 |
"step": 100
|
164 |
},
|
165 |
{
|
166 |
-
"epoch": 0.
|
167 |
-
"
|
168 |
-
"
|
169 |
-
"
|
170 |
-
"
|
171 |
-
"
|
172 |
-
"
|
173 |
-
"
|
174 |
-
"
|
175 |
-
"
|
176 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
177 |
"step": 110
|
178 |
},
|
179 |
{
|
180 |
-
"epoch": 0.
|
181 |
-
"learning_rate": 4.
|
182 |
-
"logits/chosen": -2.
|
183 |
-
"logits/rejected": -2.
|
184 |
-
"logps/chosen": -
|
185 |
-
"logps/rejected": -
|
186 |
-
"loss": 0.
|
187 |
-
"rewards/accuracies": 0.
|
188 |
-
"rewards/chosen": -1.
|
189 |
-
"rewards/margins":
|
190 |
-
"rewards/rejected": -
|
191 |
"step": 120
|
192 |
},
|
193 |
{
|
194 |
-
"epoch": 0.
|
195 |
-
"learning_rate": 4.
|
196 |
-
"logits/chosen": -2.
|
197 |
-
"logits/rejected": -2.
|
198 |
-
"logps/chosen": -
|
199 |
-
"logps/rejected": -
|
200 |
-
"loss": 0.
|
201 |
-
"rewards/accuracies": 0.
|
202 |
-
"rewards/chosen": -1.
|
203 |
-
"rewards/margins":
|
204 |
-
"rewards/rejected": -
|
205 |
"step": 130
|
206 |
},
|
207 |
{
|
208 |
-
"epoch": 0.
|
209 |
-
"learning_rate": 4.
|
210 |
-
"logits/chosen": -2.
|
211 |
-
"logits/rejected": -2.
|
212 |
-
"logps/chosen": -
|
213 |
-
"logps/rejected": -
|
214 |
-
"loss": 0.
|
215 |
-
"rewards/accuracies": 0.
|
216 |
-
"rewards/chosen": -
|
217 |
-
"rewards/margins":
|
218 |
-
"rewards/rejected": -2.
|
219 |
"step": 140
|
220 |
},
|
221 |
{
|
222 |
-
"epoch": 0.
|
223 |
-
"learning_rate":
|
224 |
-
"logits/chosen": -2.
|
225 |
-
"logits/rejected": -2.
|
226 |
-
"logps/chosen": -
|
227 |
-
"logps/rejected": -
|
228 |
-
"loss": 0.
|
229 |
-
"rewards/accuracies": 0.
|
230 |
-
"rewards/chosen": -0.
|
231 |
-
"rewards/margins": 1.
|
232 |
-
"rewards/rejected": -2.
|
233 |
"step": 150
|
234 |
},
|
235 |
{
|
236 |
-
"epoch": 0.
|
237 |
-
"learning_rate":
|
238 |
-
"logits/chosen": -2.
|
239 |
-
"logits/rejected": -2.
|
240 |
-
"logps/chosen": -
|
241 |
-
"logps/rejected": -
|
242 |
-
"loss": 0.
|
243 |
-
"rewards/accuracies": 0.
|
244 |
-
"rewards/chosen": -
|
245 |
-
"rewards/margins":
|
246 |
-
"rewards/rejected": -
|
247 |
"step": 160
|
248 |
},
|
249 |
{
|
250 |
-
"epoch": 0.
|
251 |
-
"learning_rate":
|
252 |
-
"logits/chosen": -2.
|
253 |
-
"logits/rejected": -2.
|
254 |
-
"logps/chosen": -
|
255 |
-
"logps/rejected": -
|
256 |
-
"loss": 0.
|
257 |
-
"rewards/accuracies": 0.
|
258 |
-
"rewards/chosen": -1.
|
259 |
-
"rewards/margins": 1.
|
260 |
-
"rewards/rejected": -
|
261 |
"step": 170
|
262 |
},
|
263 |
{
|
264 |
-
"epoch": 0.
|
265 |
-
"learning_rate": 3.
|
266 |
-
"logits/chosen": -2.
|
267 |
-
"logits/rejected": -2.
|
268 |
-
"logps/chosen": -
|
269 |
-
"logps/rejected": -
|
270 |
-
"loss": 0.
|
271 |
-
"rewards/accuracies": 0.
|
272 |
-
"rewards/chosen": -1.
|
273 |
-
"rewards/margins":
|
274 |
-
"rewards/rejected": -
|
275 |
"step": 180
|
276 |
},
|
277 |
{
|
278 |
-
"epoch": 0.
|
279 |
-
"learning_rate": 3.
|
280 |
-
"logits/chosen": -2.
|
281 |
-
"logits/rejected": -2.
|
282 |
-
"logps/chosen": -
|
283 |
-
"logps/rejected": -
|
284 |
-
"loss": 0.
|
285 |
-
"rewards/accuracies": 0.
|
286 |
-
"rewards/chosen": -1.
|
287 |
-
"rewards/margins":
|
288 |
-
"rewards/rejected": -
|
289 |
"step": 190
|
290 |
},
|
291 |
{
|
292 |
-
"epoch": 0.
|
293 |
-
"learning_rate":
|
294 |
-
"logits/chosen": -2.
|
295 |
-
"logits/rejected": -2.
|
296 |
-
"logps/chosen": -
|
297 |
-
"logps/rejected": -
|
298 |
-
"loss": 0.
|
299 |
-
"rewards/accuracies": 0.
|
300 |
-
"rewards/chosen": -1.
|
301 |
-
"rewards/margins":
|
302 |
-
"rewards/rejected": -
|
303 |
"step": 200
|
304 |
},
|
305 |
{
|
306 |
-
"epoch": 0.
|
307 |
-
"
|
308 |
-
"
|
309 |
-
"
|
310 |
-
"
|
311 |
-
"
|
312 |
-
"
|
313 |
-
"
|
314 |
-
"
|
315 |
-
"
|
316 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
317 |
"step": 210
|
318 |
},
|
319 |
{
|
320 |
-
"epoch": 0.
|
321 |
-
"learning_rate":
|
322 |
-
"logits/chosen": -2.
|
323 |
-
"logits/rejected": -2.
|
324 |
-
"logps/chosen": -
|
325 |
-
"logps/rejected": -
|
326 |
-
"loss": 0.
|
327 |
-
"rewards/accuracies": 0.
|
328 |
-
"rewards/chosen": -1.
|
329 |
-
"rewards/margins": 1.
|
330 |
-
"rewards/rejected": -
|
331 |
"step": 220
|
332 |
},
|
333 |
{
|
334 |
-
"epoch": 0.
|
335 |
-
"learning_rate":
|
336 |
-
"logits/chosen": -2.
|
337 |
-
"logits/rejected": -2.
|
338 |
-
"logps/chosen": -
|
339 |
-
"logps/rejected": -
|
340 |
-
"loss": 0.
|
341 |
-
"rewards/accuracies": 0.
|
342 |
-
"rewards/chosen": -1.
|
343 |
-
"rewards/margins":
|
344 |
-
"rewards/rejected": -
|
345 |
"step": 230
|
346 |
},
|
347 |
{
|
348 |
-
"epoch": 0.
|
349 |
-
"learning_rate": 2.
|
350 |
-
"logits/chosen": -2.
|
351 |
-
"logits/rejected": -2.
|
352 |
-
"logps/chosen": -
|
353 |
-
"logps/rejected": -
|
354 |
-
"loss": 0.
|
355 |
-
"rewards/accuracies": 0.
|
356 |
-
"rewards/chosen": -
|
357 |
-
"rewards/margins":
|
358 |
-
"rewards/rejected": -3.
|
359 |
"step": 240
|
360 |
},
|
361 |
{
|
362 |
-
"epoch": 0.
|
363 |
-
"learning_rate":
|
364 |
-
"logits/chosen": -2.
|
365 |
-
"logits/rejected": -2.
|
366 |
-
"logps/chosen": -
|
367 |
-
"logps/rejected": -
|
368 |
-
"loss": 0.
|
369 |
-
"rewards/accuracies": 0.
|
370 |
-
"rewards/chosen": -1.
|
371 |
-
"rewards/margins":
|
372 |
-
"rewards/rejected": -3.
|
373 |
"step": 250
|
374 |
},
|
375 |
{
|
376 |
-
"epoch": 0.
|
377 |
-
"learning_rate":
|
378 |
-
"logits/chosen": -2.
|
379 |
-
"logits/rejected": -2.
|
380 |
-
"logps/chosen": -
|
381 |
-
"logps/rejected": -
|
382 |
-
"loss": 0.
|
383 |
-
"rewards/accuracies": 0.
|
384 |
-
"rewards/chosen": -1.
|
385 |
-
"rewards/margins":
|
386 |
-
"rewards/rejected": -3.
|
387 |
"step": 260
|
388 |
},
|
389 |
{
|
390 |
-
"epoch": 0.
|
391 |
-
"learning_rate":
|
392 |
-
"logits/chosen": -2.
|
393 |
-
"logits/rejected": -2.
|
394 |
-
"logps/chosen": -
|
395 |
-
"logps/rejected": -
|
396 |
-
"loss": 0.
|
397 |
-
"rewards/accuracies": 0.
|
398 |
-
"rewards/chosen": -1.
|
399 |
-
"rewards/margins": 2.
|
400 |
-
"rewards/rejected": -3.
|
401 |
"step": 270
|
402 |
},
|
403 |
{
|
404 |
-
"epoch": 0.
|
405 |
-
"learning_rate":
|
406 |
-
"logits/chosen": -2.
|
407 |
-
"logits/rejected": -2.
|
408 |
-
"logps/chosen": -
|
409 |
-
"logps/rejected": -
|
410 |
-
"loss": 0.
|
411 |
-
"rewards/accuracies": 0.
|
412 |
-
"rewards/chosen": -1.
|
413 |
-
"rewards/margins":
|
414 |
-
"rewards/rejected": -3.
|
415 |
"step": 280
|
416 |
},
|
417 |
{
|
418 |
-
"epoch": 0.
|
419 |
-
"learning_rate":
|
420 |
-
"logits/chosen": -2.
|
421 |
-
"logits/rejected": -2.
|
422 |
-
"logps/chosen": -
|
423 |
-
"logps/rejected": -
|
424 |
-
"loss": 0.
|
425 |
-
"rewards/accuracies": 0.
|
426 |
-
"rewards/chosen": -
|
427 |
-
"rewards/margins":
|
428 |
-
"rewards/rejected": -3.
|
429 |
"step": 290
|
430 |
},
|
431 |
{
|
432 |
-
"epoch": 0.
|
433 |
-
"learning_rate":
|
434 |
-
"logits/chosen": -2.
|
435 |
-
"logits/rejected": -2.
|
436 |
-
"logps/chosen": -523.
|
437 |
-
"logps/rejected": -
|
438 |
-
"loss": 0.
|
439 |
-
"rewards/accuracies": 0.
|
440 |
-
"rewards/chosen": -
|
441 |
-
"rewards/margins": 2.
|
442 |
-
"rewards/rejected": -
|
443 |
"step": 300
|
444 |
},
|
445 |
{
|
446 |
-
"epoch": 0.
|
447 |
-
"
|
448 |
-
"
|
449 |
-
"
|
450 |
-
"
|
451 |
-
"
|
452 |
-
"
|
453 |
-
"
|
454 |
-
"
|
455 |
-
"
|
456 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
457 |
"step": 310
|
458 |
},
|
459 |
{
|
460 |
-
"epoch": 0.
|
461 |
-
"learning_rate":
|
462 |
-
"logits/chosen": -2.
|
463 |
-
"logits/rejected": -2.
|
464 |
-
"logps/chosen": -
|
465 |
-
"logps/rejected": -
|
466 |
-
"loss": 0.
|
467 |
-
"rewards/accuracies": 0.
|
468 |
-
"rewards/chosen": -
|
469 |
-
"rewards/margins": 2.
|
470 |
-
"rewards/rejected": -
|
471 |
"step": 320
|
472 |
},
|
473 |
{
|
474 |
-
"epoch": 0.
|
475 |
-
"learning_rate":
|
476 |
-
"logits/chosen": -2.
|
477 |
-
"logits/rejected": -2.
|
478 |
-
"logps/chosen": -
|
479 |
-
"logps/rejected": -
|
480 |
-
"loss": 0.
|
481 |
-
"rewards/accuracies": 0.
|
482 |
-
"rewards/chosen": -
|
483 |
-
"rewards/margins":
|
484 |
-
"rewards/rejected": -
|
485 |
"step": 330
|
486 |
},
|
487 |
{
|
488 |
-
"epoch": 0.
|
489 |
-
"learning_rate":
|
490 |
-
"logits/chosen": -2.
|
491 |
-
"logits/rejected": -2.
|
492 |
-
"logps/chosen": -
|
493 |
-
"logps/rejected": -
|
494 |
-
"loss": 0.
|
495 |
-
"rewards/accuracies": 0.
|
496 |
-
"rewards/chosen": -
|
497 |
-
"rewards/margins": 2.
|
498 |
-
"rewards/rejected": -
|
499 |
"step": 340
|
500 |
},
|
501 |
{
|
502 |
-
"epoch": 0.
|
503 |
-
"learning_rate":
|
504 |
-
"logits/chosen": -2.
|
505 |
-
"logits/rejected": -2.
|
506 |
-
"logps/chosen": -
|
507 |
-
"logps/rejected": -
|
508 |
-
"loss": 0.
|
509 |
-
"rewards/accuracies": 0.
|
510 |
-
"rewards/chosen": -
|
511 |
-
"rewards/margins": 2.
|
512 |
-
"rewards/rejected": -
|
513 |
"step": 350
|
514 |
},
|
515 |
{
|
516 |
-
"epoch": 0.
|
517 |
-
"learning_rate":
|
518 |
-
"logits/chosen": -2.
|
519 |
-
"logits/rejected": -2.
|
520 |
-
"logps/chosen": -
|
521 |
-
"logps/rejected": -
|
522 |
-
"loss": 0.
|
523 |
-
"rewards/accuracies": 0.
|
524 |
-
"rewards/chosen": -
|
525 |
-
"rewards/margins":
|
526 |
-
"rewards/rejected": -
|
527 |
"step": 360
|
528 |
},
|
529 |
{
|
530 |
-
"epoch": 0.
|
531 |
-
"learning_rate":
|
532 |
-
"logits/chosen": -2.
|
533 |
-
"logits/rejected": -2.
|
534 |
-
"logps/chosen": -
|
535 |
-
"logps/rejected": -
|
536 |
-
"loss": 0.
|
537 |
-
"rewards/accuracies": 0.
|
538 |
-
"rewards/chosen": -
|
539 |
-
"rewards/margins":
|
540 |
-
"rewards/rejected": -
|
541 |
"step": 370
|
542 |
},
|
543 |
{
|
544 |
-
"epoch": 0.
|
545 |
-
"learning_rate":
|
546 |
-
"logits/chosen": -2.
|
547 |
-
"logits/rejected": -2.
|
548 |
-
"logps/chosen": -
|
549 |
-
"logps/rejected": -
|
550 |
-
"loss": 0.
|
551 |
-
"rewards/accuracies": 0.
|
552 |
-
"rewards/chosen": -
|
553 |
-
"rewards/margins": 2.
|
554 |
-
"rewards/rejected": -
|
555 |
"step": 380
|
556 |
},
|
557 |
{
|
558 |
-
"epoch": 0.
|
559 |
-
"learning_rate":
|
560 |
-
"logits/chosen": -2.
|
561 |
-
"logits/rejected": -2.
|
562 |
-
"logps/chosen": -
|
563 |
-
"logps/rejected": -
|
564 |
-
"loss": 0.
|
565 |
-
"rewards/accuracies": 0.
|
566 |
-
"rewards/chosen": -
|
567 |
-
"rewards/margins":
|
568 |
-
"rewards/rejected": -
|
569 |
"step": 390
|
570 |
},
|
571 |
{
|
572 |
-
"epoch": 0.
|
573 |
-
"learning_rate":
|
574 |
-
"logits/chosen": -2.
|
575 |
-
"logits/rejected": -2.
|
576 |
-
"logps/chosen": -
|
577 |
-
"logps/rejected": -
|
578 |
-
"loss": 0.
|
579 |
-
"rewards/accuracies": 0.
|
580 |
-
"rewards/chosen": -
|
581 |
-
"rewards/margins":
|
582 |
-
"rewards/rejected": -
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
583 |
"step": 400
|
584 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
585 |
{
|
586 |
"epoch": 1.0,
|
587 |
-
"step":
|
588 |
"total_flos": 0.0,
|
589 |
-
"train_loss": 0.
|
590 |
-
"train_runtime":
|
591 |
-
"train_samples_per_second":
|
592 |
-
"train_steps_per_second": 0.
|
593 |
}
|
594 |
],
|
595 |
"logging_steps": 10,
|
596 |
-
"max_steps":
|
597 |
"num_train_epochs": 1,
|
598 |
-
"save_steps":
|
599 |
"total_flos": 0.0,
|
600 |
"trial_name": null,
|
601 |
"trial_params": null
|
|
|
1 |
{
|
2 |
"best_metric": null,
|
3 |
"best_model_checkpoint": null,
|
4 |
+
"epoch": 1.0,
|
5 |
+
"eval_steps": 100,
|
6 |
+
"global_step": 478,
|
7 |
"is_hyper_param_search": false,
|
8 |
"is_local_process_zero": true,
|
9 |
"is_world_process_zero": true,
|
10 |
"log_history": [
|
11 |
{
|
12 |
"epoch": 0.0,
|
13 |
+
"learning_rate": 1.0416666666666666e-08,
|
14 |
+
"logits/chosen": -2.8099329471588135,
|
15 |
+
"logits/rejected": -2.7572641372680664,
|
16 |
+
"logps/chosen": -241.48843383789062,
|
17 |
+
"logps/rejected": -197.4517822265625,
|
18 |
+
"loss": 0.0078,
|
19 |
"rewards/accuracies": 0.0,
|
20 |
"rewards/chosen": 0.0,
|
21 |
"rewards/margins": 0.0,
|
|
|
24 |
},
|
25 |
{
|
26 |
"epoch": 0.02,
|
27 |
+
"learning_rate": 1.0416666666666667e-07,
|
28 |
+
"logits/chosen": -2.8321194648742676,
|
29 |
+
"logits/rejected": -2.8086512088775635,
|
30 |
+
"logps/chosen": -292.6743469238281,
|
31 |
+
"logps/rejected": -278.57659912109375,
|
32 |
+
"loss": 0.0078,
|
33 |
+
"rewards/accuracies": 0.4097222089767456,
|
34 |
+
"rewards/chosen": 0.0001647545286687091,
|
35 |
+
"rewards/margins": 6.90047672833316e-05,
|
36 |
+
"rewards/rejected": 9.574973955750465e-05,
|
37 |
"step": 10
|
38 |
},
|
39 |
{
|
40 |
+
"epoch": 0.04,
|
41 |
+
"learning_rate": 2.0833333333333333e-07,
|
42 |
+
"logits/chosen": -2.812178134918213,
|
43 |
+
"logits/rejected": -2.783703565597534,
|
44 |
+
"logps/chosen": -290.24627685546875,
|
45 |
+
"logps/rejected": -290.8101806640625,
|
46 |
+
"loss": 0.0078,
|
47 |
+
"rewards/accuracies": 0.5874999761581421,
|
48 |
+
"rewards/chosen": 0.0015331681352108717,
|
49 |
+
"rewards/margins": 0.002536341082304716,
|
50 |
+
"rewards/rejected": -0.0010031728306785226,
|
51 |
"step": 20
|
52 |
},
|
53 |
{
|
54 |
+
"epoch": 0.06,
|
55 |
+
"learning_rate": 3.1249999999999997e-07,
|
56 |
+
"logits/chosen": -2.7607104778289795,
|
57 |
+
"logits/rejected": -2.729504108428955,
|
58 |
+
"logps/chosen": -245.93002319335938,
|
59 |
+
"logps/rejected": -226.58041381835938,
|
60 |
+
"loss": 0.0078,
|
61 |
+
"rewards/accuracies": 0.6499999761581421,
|
62 |
+
"rewards/chosen": 0.004320907406508923,
|
63 |
+
"rewards/margins": 0.007326310966163874,
|
64 |
+
"rewards/rejected": -0.003005403093993664,
|
65 |
"step": 30
|
66 |
},
|
67 |
{
|
68 |
+
"epoch": 0.08,
|
69 |
+
"learning_rate": 4.1666666666666667e-07,
|
70 |
+
"logits/chosen": -2.802220106124878,
|
71 |
+
"logits/rejected": -2.773683547973633,
|
72 |
+
"logps/chosen": -296.27679443359375,
|
73 |
+
"logps/rejected": -261.5389404296875,
|
74 |
+
"loss": 0.0077,
|
75 |
+
"rewards/accuracies": 0.7124999761581421,
|
76 |
+
"rewards/chosen": 0.03244831785559654,
|
77 |
+
"rewards/margins": 0.03520316258072853,
|
78 |
+
"rewards/rejected": -0.002754846354946494,
|
79 |
"step": 40
|
80 |
},
|
81 |
{
|
82 |
+
"epoch": 0.1,
|
83 |
+
"learning_rate": 4.999733114418725e-07,
|
84 |
+
"logits/chosen": -2.7273590564727783,
|
85 |
+
"logits/rejected": -2.706237316131592,
|
86 |
+
"logps/chosen": -270.7037658691406,
|
87 |
+
"logps/rejected": -262.9428405761719,
|
88 |
+
"loss": 0.0076,
|
89 |
+
"rewards/accuracies": 0.675000011920929,
|
90 |
+
"rewards/chosen": 0.0672668069601059,
|
91 |
+
"rewards/margins": 0.05972485989332199,
|
92 |
+
"rewards/rejected": 0.007541947066783905,
|
93 |
"step": 50
|
94 |
},
|
95 |
{
|
96 |
+
"epoch": 0.13,
|
97 |
+
"learning_rate": 4.990398100856366e-07,
|
98 |
+
"logits/chosen": -2.7465662956237793,
|
99 |
+
"logits/rejected": -2.7238385677337646,
|
100 |
+
"logps/chosen": -255.60317993164062,
|
101 |
+
"logps/rejected": -239.0897216796875,
|
102 |
+
"loss": 0.0075,
|
103 |
+
"rewards/accuracies": 0.6187499761581421,
|
104 |
+
"rewards/chosen": 0.03473116084933281,
|
105 |
+
"rewards/margins": 0.0994780957698822,
|
106 |
+
"rewards/rejected": -0.0647469311952591,
|
107 |
"step": 60
|
108 |
},
|
109 |
{
|
110 |
+
"epoch": 0.15,
|
111 |
+
"learning_rate": 4.967775735898179e-07,
|
112 |
+
"logits/chosen": -2.7161264419555664,
|
113 |
+
"logits/rejected": -2.6884379386901855,
|
114 |
+
"logps/chosen": -283.9285583496094,
|
115 |
+
"logps/rejected": -264.662353515625,
|
116 |
+
"loss": 0.0075,
|
117 |
+
"rewards/accuracies": 0.6312500238418579,
|
118 |
+
"rewards/chosen": -0.15505999326705933,
|
119 |
+
"rewards/margins": 0.1427268385887146,
|
120 |
+
"rewards/rejected": -0.29778680205345154,
|
121 |
"step": 70
|
122 |
},
|
123 |
{
|
124 |
+
"epoch": 0.17,
|
125 |
+
"learning_rate": 4.931986719649298e-07,
|
126 |
+
"logits/chosen": -2.660313129425049,
|
127 |
+
"logits/rejected": -2.6577725410461426,
|
128 |
+
"logps/chosen": -321.1432800292969,
|
129 |
+
"logps/rejected": -348.98193359375,
|
130 |
+
"loss": 0.0073,
|
131 |
+
"rewards/accuracies": 0.637499988079071,
|
132 |
+
"rewards/chosen": -0.5041145086288452,
|
133 |
+
"rewards/margins": 0.3104575276374817,
|
134 |
+
"rewards/rejected": -0.8145721554756165,
|
135 |
"step": 80
|
136 |
},
|
137 |
{
|
138 |
+
"epoch": 0.19,
|
139 |
+
"learning_rate": 4.883222001996351e-07,
|
140 |
+
"logits/chosen": -2.6707301139831543,
|
141 |
+
"logits/rejected": -2.640599489212036,
|
142 |
+
"logps/chosen": -345.442138671875,
|
143 |
+
"logps/rejected": -356.21124267578125,
|
144 |
+
"loss": 0.0072,
|
145 |
+
"rewards/accuracies": 0.6499999761581421,
|
146 |
+
"rewards/chosen": -0.9047767519950867,
|
147 |
+
"rewards/margins": 0.31039169430732727,
|
148 |
+
"rewards/rejected": -1.2151683568954468,
|
149 |
"step": 90
|
150 |
},
|
151 |
{
|
152 |
+
"epoch": 0.21,
|
153 |
+
"learning_rate": 4.821741763807186e-07,
|
154 |
+
"logits/chosen": -2.6787619590759277,
|
155 |
+
"logits/rejected": -2.645983934402466,
|
156 |
+
"logps/chosen": -396.6234436035156,
|
157 |
+
"logps/rejected": -426.6803283691406,
|
158 |
+
"loss": 0.0071,
|
159 |
+
"rewards/accuracies": 0.606249988079071,
|
160 |
+
"rewards/chosen": -1.0718439817428589,
|
161 |
+
"rewards/margins": 0.5163585543632507,
|
162 |
+
"rewards/rejected": -1.588202714920044,
|
163 |
"step": 100
|
164 |
},
|
165 |
{
|
166 |
+
"epoch": 0.21,
|
167 |
+
"eval_logits/chosen": -2.648916244506836,
|
168 |
+
"eval_logits/rejected": -2.634218215942383,
|
169 |
+
"eval_logps/chosen": -346.26025390625,
|
170 |
+
"eval_logps/rejected": -418.1842956542969,
|
171 |
+
"eval_loss": 0.00723836338147521,
|
172 |
+
"eval_rewards/accuracies": 0.65234375,
|
173 |
+
"eval_rewards/chosen": -0.8922064900398254,
|
174 |
+
"eval_rewards/margins": 0.7161041498184204,
|
175 |
+
"eval_rewards/rejected": -1.6083106994628906,
|
176 |
+
"eval_runtime": 53.518,
|
177 |
+
"eval_samples_per_second": 37.371,
|
178 |
+
"eval_steps_per_second": 0.598,
|
179 |
+
"step": 100
|
180 |
+
},
|
181 |
+
{
|
182 |
+
"epoch": 0.23,
|
183 |
+
"learning_rate": 4.747874028753375e-07,
|
184 |
+
"logits/chosen": -2.545974016189575,
|
185 |
+
"logits/rejected": -2.5154786109924316,
|
186 |
+
"logps/chosen": -365.91827392578125,
|
187 |
+
"logps/rejected": -409.01031494140625,
|
188 |
+
"loss": 0.0071,
|
189 |
+
"rewards/accuracies": 0.6875,
|
190 |
+
"rewards/chosen": -0.9582077860832214,
|
191 |
+
"rewards/margins": 0.9138003587722778,
|
192 |
+
"rewards/rejected": -1.872007966041565,
|
193 |
"step": 110
|
194 |
},
|
195 |
{
|
196 |
+
"epoch": 0.25,
|
197 |
+
"learning_rate": 4.662012913161997e-07,
|
198 |
+
"logits/chosen": -2.684849500656128,
|
199 |
+
"logits/rejected": -2.6533303260803223,
|
200 |
+
"logps/chosen": -380.91168212890625,
|
201 |
+
"logps/rejected": -454.111328125,
|
202 |
+
"loss": 0.0071,
|
203 |
+
"rewards/accuracies": 0.65625,
|
204 |
+
"rewards/chosen": -1.1206060647964478,
|
205 |
+
"rewards/margins": 0.7919976711273193,
|
206 |
+
"rewards/rejected": -1.912603735923767,
|
207 |
"step": 120
|
208 |
},
|
209 |
{
|
210 |
+
"epoch": 0.27,
|
211 |
+
"learning_rate": 4.5646165232345103e-07,
|
212 |
+
"logits/chosen": -2.69043231010437,
|
213 |
+
"logits/rejected": -2.678968906402588,
|
214 |
+
"logps/chosen": -380.21856689453125,
|
215 |
+
"logps/rejected": -425.89697265625,
|
216 |
+
"loss": 0.0071,
|
217 |
+
"rewards/accuracies": 0.6312500238418579,
|
218 |
+
"rewards/chosen": -1.0572373867034912,
|
219 |
+
"rewards/margins": 0.6952055096626282,
|
220 |
+
"rewards/rejected": -1.752442717552185,
|
221 |
"step": 130
|
222 |
},
|
223 |
{
|
224 |
+
"epoch": 0.29,
|
225 |
+
"learning_rate": 4.456204510851956e-07,
|
226 |
+
"logits/chosen": -2.6275994777679443,
|
227 |
+
"logits/rejected": -2.6046979427337646,
|
228 |
+
"logps/chosen": -418.4617614746094,
|
229 |
+
"logps/rejected": -492.6680603027344,
|
230 |
+
"loss": 0.0071,
|
231 |
+
"rewards/accuracies": 0.65625,
|
232 |
+
"rewards/chosen": -1.3782728910446167,
|
233 |
+
"rewards/margins": 0.8407732248306274,
|
234 |
+
"rewards/rejected": -2.219046115875244,
|
235 |
"step": 140
|
236 |
},
|
237 |
{
|
238 |
+
"epoch": 0.31,
|
239 |
+
"learning_rate": 4.337355301007335e-07,
|
240 |
+
"logits/chosen": -2.5452637672424316,
|
241 |
+
"logits/rejected": -2.5649313926696777,
|
242 |
+
"logps/chosen": -324.2164611816406,
|
243 |
+
"logps/rejected": -459.1006774902344,
|
244 |
+
"loss": 0.007,
|
245 |
+
"rewards/accuracies": 0.7124999761581421,
|
246 |
+
"rewards/chosen": -0.9753753542900085,
|
247 |
+
"rewards/margins": 1.252770185470581,
|
248 |
+
"rewards/rejected": -2.2281455993652344,
|
249 |
"step": 150
|
250 |
},
|
251 |
{
|
252 |
+
"epoch": 0.33,
|
253 |
+
"learning_rate": 4.2087030056579986e-07,
|
254 |
+
"logits/chosen": -2.5417354106903076,
|
255 |
+
"logits/rejected": -2.5152485370635986,
|
256 |
+
"logps/chosen": -401.59222412109375,
|
257 |
+
"logps/rejected": -472.24566650390625,
|
258 |
+
"loss": 0.0071,
|
259 |
+
"rewards/accuracies": 0.65625,
|
260 |
+
"rewards/chosen": -1.4562033414840698,
|
261 |
+
"rewards/margins": 0.8074793815612793,
|
262 |
+
"rewards/rejected": -2.2636826038360596,
|
263 |
"step": 160
|
264 |
},
|
265 |
{
|
266 |
+
"epoch": 0.36,
|
267 |
+
"learning_rate": 4.070934040463998e-07,
|
268 |
+
"logits/chosen": -2.4884097576141357,
|
269 |
+
"logits/rejected": -2.4738173484802246,
|
270 |
+
"logps/chosen": -423.27734375,
|
271 |
+
"logps/rejected": -517.5540771484375,
|
272 |
+
"loss": 0.007,
|
273 |
+
"rewards/accuracies": 0.7250000238418579,
|
274 |
+
"rewards/chosen": -1.4111053943634033,
|
275 |
+
"rewards/margins": 1.162752389907837,
|
276 |
+
"rewards/rejected": -2.5738577842712402,
|
277 |
"step": 170
|
278 |
},
|
279 |
{
|
280 |
+
"epoch": 0.38,
|
281 |
+
"learning_rate": 3.9247834624635404e-07,
|
282 |
+
"logits/chosen": -2.5208473205566406,
|
283 |
+
"logits/rejected": -2.527306079864502,
|
284 |
+
"logps/chosen": -436.7098693847656,
|
285 |
+
"logps/rejected": -552.0220947265625,
|
286 |
+
"loss": 0.007,
|
287 |
+
"rewards/accuracies": 0.706250011920929,
|
288 |
+
"rewards/chosen": -1.6753193140029907,
|
289 |
+
"rewards/margins": 1.2910652160644531,
|
290 |
+
"rewards/rejected": -2.9663846492767334,
|
291 |
"step": 180
|
292 |
},
|
293 |
{
|
294 |
+
"epoch": 0.4,
|
295 |
+
"learning_rate": 3.7710310482256523e-07,
|
296 |
+
"logits/chosen": -2.5808041095733643,
|
297 |
+
"logits/rejected": -2.55265474319458,
|
298 |
+
"logps/chosen": -418.2471618652344,
|
299 |
+
"logps/rejected": -492.46044921875,
|
300 |
+
"loss": 0.0071,
|
301 |
+
"rewards/accuracies": 0.706250011920929,
|
302 |
+
"rewards/chosen": -1.2685142755508423,
|
303 |
+
"rewards/margins": 1.015337586402893,
|
304 |
+
"rewards/rejected": -2.2838518619537354,
|
305 |
"step": 190
|
306 |
},
|
307 |
{
|
308 |
+
"epoch": 0.42,
|
309 |
+
"learning_rate": 3.610497133404795e-07,
|
310 |
+
"logits/chosen": -2.6063413619995117,
|
311 |
+
"logits/rejected": -2.617413282394409,
|
312 |
+
"logps/chosen": -435.3294372558594,
|
313 |
+
"logps/rejected": -527.3897705078125,
|
314 |
+
"loss": 0.0068,
|
315 |
+
"rewards/accuracies": 0.6875,
|
316 |
+
"rewards/chosen": -1.3916200399398804,
|
317 |
+
"rewards/margins": 1.2391204833984375,
|
318 |
+
"rewards/rejected": -2.6307404041290283,
|
319 |
"step": 200
|
320 |
},
|
321 |
{
|
322 |
+
"epoch": 0.42,
|
323 |
+
"eval_logits/chosen": -2.621898651123047,
|
324 |
+
"eval_logits/rejected": -2.605832576751709,
|
325 |
+
"eval_logps/chosen": -430.9748840332031,
|
326 |
+
"eval_logps/rejected": -577.05419921875,
|
327 |
+
"eval_loss": 0.0069780959747731686,
|
328 |
+
"eval_rewards/accuracies": 0.66796875,
|
329 |
+
"eval_rewards/chosen": -1.7393522262573242,
|
330 |
+
"eval_rewards/margins": 1.4576572179794312,
|
331 |
+
"eval_rewards/rejected": -3.197009325027466,
|
332 |
+
"eval_runtime": 53.4259,
|
333 |
+
"eval_samples_per_second": 37.435,
|
334 |
+
"eval_steps_per_second": 0.599,
|
335 |
+
"step": 200
|
336 |
+
},
|
337 |
+
{
|
338 |
+
"epoch": 0.44,
|
339 |
+
"learning_rate": 3.4440382358952115e-07,
|
340 |
+
"logits/chosen": -2.551345109939575,
|
341 |
+
"logits/rejected": -2.5264601707458496,
|
342 |
+
"logps/chosen": -426.4783630371094,
|
343 |
+
"logps/rejected": -572.7852783203125,
|
344 |
+
"loss": 0.0068,
|
345 |
+
"rewards/accuracies": 0.6625000238418579,
|
346 |
+
"rewards/chosen": -1.5344517230987549,
|
347 |
+
"rewards/margins": 1.6740432977676392,
|
348 |
+
"rewards/rejected": -3.2084953784942627,
|
349 |
"step": 210
|
350 |
},
|
351 |
{
|
352 |
+
"epoch": 0.46,
|
353 |
+
"learning_rate": 3.272542485937368e-07,
|
354 |
+
"logits/chosen": -2.5313520431518555,
|
355 |
+
"logits/rejected": -2.48645281791687,
|
356 |
+
"logps/chosen": -433.2318420410156,
|
357 |
+
"logps/rejected": -535.4318237304688,
|
358 |
+
"loss": 0.0069,
|
359 |
+
"rewards/accuracies": 0.637499988079071,
|
360 |
+
"rewards/chosen": -1.5826613903045654,
|
361 |
+
"rewards/margins": 1.148589849472046,
|
362 |
+
"rewards/rejected": -2.7312510013580322,
|
363 |
"step": 220
|
364 |
},
|
365 |
{
|
366 |
+
"epoch": 0.48,
|
367 |
+
"learning_rate": 3.096924887558854e-07,
|
368 |
+
"logits/chosen": -2.553248167037964,
|
369 |
+
"logits/rejected": -2.4987640380859375,
|
370 |
+
"logps/chosen": -463.6939392089844,
|
371 |
+
"logps/rejected": -559.91650390625,
|
372 |
+
"loss": 0.0072,
|
373 |
+
"rewards/accuracies": 0.6312500238418579,
|
374 |
+
"rewards/chosen": -1.8914604187011719,
|
375 |
+
"rewards/margins": 1.0075489282608032,
|
376 |
+
"rewards/rejected": -2.8990092277526855,
|
377 |
"step": 230
|
378 |
},
|
379 |
{
|
380 |
+
"epoch": 0.5,
|
381 |
+
"learning_rate": 2.9181224366319943e-07,
|
382 |
+
"logits/chosen": -2.509253978729248,
|
383 |
+
"logits/rejected": -2.4721405506134033,
|
384 |
+
"logps/chosen": -506.30328369140625,
|
385 |
+
"logps/rejected": -608.6563720703125,
|
386 |
+
"loss": 0.0068,
|
387 |
+
"rewards/accuracies": 0.643750011920929,
|
388 |
+
"rewards/chosen": -2.2013320922851562,
|
389 |
+
"rewards/margins": 1.3522661924362183,
|
390 |
+
"rewards/rejected": -3.553598403930664,
|
391 |
"step": 240
|
392 |
},
|
393 |
{
|
394 |
+
"epoch": 0.52,
|
395 |
+
"learning_rate": 2.7370891215954565e-07,
|
396 |
+
"logits/chosen": -2.567660331726074,
|
397 |
+
"logits/rejected": -2.519611358642578,
|
398 |
+
"logps/chosen": -446.6778259277344,
|
399 |
+
"logps/rejected": -590.0146484375,
|
400 |
+
"loss": 0.0071,
|
401 |
+
"rewards/accuracies": 0.65625,
|
402 |
+
"rewards/chosen": -1.7510559558868408,
|
403 |
+
"rewards/margins": 1.6048589944839478,
|
404 |
+
"rewards/rejected": -3.355915069580078,
|
405 |
"step": 250
|
406 |
},
|
407 |
{
|
408 |
+
"epoch": 0.54,
|
409 |
+
"learning_rate": 2.55479083351317e-07,
|
410 |
+
"logits/chosen": -2.560824155807495,
|
411 |
+
"logits/rejected": -2.5370585918426514,
|
412 |
+
"logps/chosen": -453.1175842285156,
|
413 |
+
"logps/rejected": -639.9363403320312,
|
414 |
+
"loss": 0.0069,
|
415 |
+
"rewards/accuracies": 0.6937500238418579,
|
416 |
+
"rewards/chosen": -1.9397010803222656,
|
417 |
+
"rewards/margins": 1.8772062063217163,
|
418 |
+
"rewards/rejected": -3.8169074058532715,
|
419 |
"step": 260
|
420 |
},
|
421 |
{
|
422 |
+
"epoch": 0.56,
|
423 |
+
"learning_rate": 2.3722002126275822e-07,
|
424 |
+
"logits/chosen": -2.5935356616973877,
|
425 |
+
"logits/rejected": -2.5652170181274414,
|
426 |
+
"logps/chosen": -414.54248046875,
|
427 |
+
"logps/rejected": -655.6973876953125,
|
428 |
+
"loss": 0.007,
|
429 |
+
"rewards/accuracies": 0.75,
|
430 |
+
"rewards/chosen": -1.2608954906463623,
|
431 |
+
"rewards/margins": 2.6454343795776367,
|
432 |
+
"rewards/rejected": -3.906330108642578,
|
433 |
"step": 270
|
434 |
},
|
435 |
{
|
436 |
+
"epoch": 0.59,
|
437 |
+
"learning_rate": 2.19029145890313e-07,
|
438 |
+
"logits/chosen": -2.5211143493652344,
|
439 |
+
"logits/rejected": -2.514479875564575,
|
440 |
+
"logps/chosen": -458.656982421875,
|
441 |
+
"logps/rejected": -574.6309814453125,
|
442 |
+
"loss": 0.007,
|
443 |
+
"rewards/accuracies": 0.762499988079071,
|
444 |
+
"rewards/chosen": -1.5091394186019897,
|
445 |
+
"rewards/margins": 1.5814958810806274,
|
446 |
+
"rewards/rejected": -3.090635299682617,
|
447 |
"step": 280
|
448 |
},
|
449 |
{
|
450 |
+
"epoch": 0.61,
|
451 |
+
"learning_rate": 2.0100351342479216e-07,
|
452 |
+
"logits/chosen": -2.5380799770355225,
|
453 |
+
"logits/rejected": -2.5039894580841064,
|
454 |
+
"logps/chosen": -482.7261657714844,
|
455 |
+
"logps/rejected": -624.1588745117188,
|
456 |
+
"loss": 0.0069,
|
457 |
+
"rewards/accuracies": 0.699999988079071,
|
458 |
+
"rewards/chosen": -2.049624443054199,
|
459 |
+
"rewards/margins": 1.658935785293579,
|
460 |
+
"rewards/rejected": -3.7085604667663574,
|
461 |
"step": 290
|
462 |
},
|
463 |
{
|
464 |
+
"epoch": 0.63,
|
465 |
+
"learning_rate": 1.8323929841460178e-07,
|
466 |
+
"logits/chosen": -2.5519766807556152,
|
467 |
+
"logits/rejected": -2.5217361450195312,
|
468 |
+
"logps/chosen": -523.7749633789062,
|
469 |
+
"logps/rejected": -727.1653442382812,
|
470 |
+
"loss": 0.0069,
|
471 |
+
"rewards/accuracies": 0.6875,
|
472 |
+
"rewards/chosen": -2.7216830253601074,
|
473 |
+
"rewards/margins": 2.1266276836395264,
|
474 |
+
"rewards/rejected": -4.848310947418213,
|
475 |
"step": 300
|
476 |
},
|
477 |
{
|
478 |
+
"epoch": 0.63,
|
479 |
+
"eval_logits/chosen": -2.535085916519165,
|
480 |
+
"eval_logits/rejected": -2.5115010738372803,
|
481 |
+
"eval_logps/chosen": -480.6185302734375,
|
482 |
+
"eval_logps/rejected": -720.874755859375,
|
483 |
+
"eval_loss": 0.006893348880112171,
|
484 |
+
"eval_rewards/accuracies": 0.69921875,
|
485 |
+
"eval_rewards/chosen": -2.2357888221740723,
|
486 |
+
"eval_rewards/margins": 2.3994250297546387,
|
487 |
+
"eval_rewards/rejected": -4.635214328765869,
|
488 |
+
"eval_runtime": 53.4457,
|
489 |
+
"eval_samples_per_second": 37.421,
|
490 |
+
"eval_steps_per_second": 0.599,
|
491 |
+
"step": 300
|
492 |
+
},
|
493 |
+
{
|
494 |
+
"epoch": 0.65,
|
495 |
+
"learning_rate": 1.6583128063291573e-07,
|
496 |
+
"logits/chosen": -2.52044415473938,
|
497 |
+
"logits/rejected": -2.473792552947998,
|
498 |
+
"logps/chosen": -516.9593505859375,
|
499 |
+
"logps/rejected": -765.6558837890625,
|
500 |
+
"loss": 0.0069,
|
501 |
+
"rewards/accuracies": 0.699999988079071,
|
502 |
+
"rewards/chosen": -2.2925307750701904,
|
503 |
+
"rewards/margins": 2.806295871734619,
|
504 |
+
"rewards/rejected": -5.0988264083862305,
|
505 |
"step": 310
|
506 |
},
|
507 |
{
|
508 |
+
"epoch": 0.67,
|
509 |
+
"learning_rate": 1.488723393865766e-07,
|
510 |
+
"logits/chosen": -2.486896514892578,
|
511 |
+
"logits/rejected": -2.45188570022583,
|
512 |
+
"logps/chosen": -513.2415771484375,
|
513 |
+
"logps/rejected": -736.2615356445312,
|
514 |
+
"loss": 0.0068,
|
515 |
+
"rewards/accuracies": 0.7124999761581421,
|
516 |
+
"rewards/chosen": -2.2738022804260254,
|
517 |
+
"rewards/margins": 2.435603618621826,
|
518 |
+
"rewards/rejected": -4.709405899047852,
|
519 |
"step": 320
|
520 |
},
|
521 |
{
|
522 |
+
"epoch": 0.69,
|
523 |
+
"learning_rate": 1.3245295796480788e-07,
|
524 |
+
"logits/chosen": -2.5038528442382812,
|
525 |
+
"logits/rejected": -2.45892596244812,
|
526 |
+
"logps/chosen": -482.16387939453125,
|
527 |
+
"logps/rejected": -711.6837768554688,
|
528 |
+
"loss": 0.0069,
|
529 |
+
"rewards/accuracies": 0.6812499761581421,
|
530 |
+
"rewards/chosen": -2.0813446044921875,
|
531 |
+
"rewards/margins": 2.3931524753570557,
|
532 |
+
"rewards/rejected": -4.474496841430664,
|
533 |
"step": 330
|
534 |
},
|
535 |
{
|
536 |
+
"epoch": 0.71,
|
537 |
+
"learning_rate": 1.1666074087171627e-07,
|
538 |
+
"logits/chosen": -2.5274105072021484,
|
539 |
+
"logits/rejected": -2.496708869934082,
|
540 |
+
"logps/chosen": -485.33062744140625,
|
541 |
+
"logps/rejected": -762.1112060546875,
|
542 |
+
"loss": 0.0069,
|
543 |
+
"rewards/accuracies": 0.6875,
|
544 |
+
"rewards/chosen": -2.307344675064087,
|
545 |
+
"rewards/margins": 2.784510612487793,
|
546 |
+
"rewards/rejected": -5.091855525970459,
|
547 |
"step": 340
|
548 |
},
|
549 |
{
|
550 |
+
"epoch": 0.73,
|
551 |
+
"learning_rate": 1.0157994641835734e-07,
|
552 |
+
"logits/chosen": -2.478060483932495,
|
553 |
+
"logits/rejected": -2.456634998321533,
|
554 |
+
"logps/chosen": -641.193359375,
|
555 |
+
"logps/rejected": -830.1126098632812,
|
556 |
+
"loss": 0.0071,
|
557 |
+
"rewards/accuracies": 0.612500011920929,
|
558 |
+
"rewards/chosen": -3.647397994995117,
|
559 |
+
"rewards/margins": 2.023047924041748,
|
560 |
+
"rewards/rejected": -5.670445442199707,
|
561 |
"step": 350
|
562 |
},
|
563 |
{
|
564 |
+
"epoch": 0.75,
|
565 |
+
"learning_rate": 8.729103716819111e-08,
|
566 |
+
"logits/chosen": -2.452293634414673,
|
567 |
+
"logits/rejected": -2.414788007736206,
|
568 |
+
"logps/chosen": -563.0314331054688,
|
569 |
+
"logps/rejected": -946.1033325195312,
|
570 |
+
"loss": 0.0068,
|
571 |
+
"rewards/accuracies": 0.71875,
|
572 |
+
"rewards/chosen": -3.0464682579040527,
|
573 |
+
"rewards/margins": 3.980926036834717,
|
574 |
+
"rewards/rejected": -7.0273942947387695,
|
575 |
"step": 360
|
576 |
},
|
577 |
{
|
578 |
+
"epoch": 0.77,
|
579 |
+
"learning_rate": 7.387025063449081e-08,
|
580 |
+
"logits/chosen": -2.489593982696533,
|
581 |
+
"logits/rejected": -2.473261594772339,
|
582 |
+
"logps/chosen": -690.0401000976562,
|
583 |
+
"logps/rejected": -933.4720458984375,
|
584 |
+
"loss": 0.0068,
|
585 |
+
"rewards/accuracies": 0.643750011920929,
|
586 |
+
"rewards/chosen": -4.119799613952637,
|
587 |
+
"rewards/margins": 2.5783958435058594,
|
588 |
+
"rewards/rejected": -6.698195457458496,
|
589 |
"step": 370
|
590 |
},
|
591 |
{
|
592 |
+
"epoch": 0.79,
|
593 |
+
"learning_rate": 6.138919252022435e-08,
|
594 |
+
"logits/chosen": -2.421910047531128,
|
595 |
+
"logits/rejected": -2.4058310985565186,
|
596 |
+
"logps/chosen": -612.6002807617188,
|
597 |
+
"logps/rejected": -844.525390625,
|
598 |
+
"loss": 0.0069,
|
599 |
+
"rewards/accuracies": 0.625,
|
600 |
+
"rewards/chosen": -3.8975918292999268,
|
601 |
+
"rewards/margins": 2.118032693862915,
|
602 |
+
"rewards/rejected": -6.015624046325684,
|
603 |
"step": 380
|
604 |
},
|
605 |
{
|
606 |
+
"epoch": 0.82,
|
607 |
+
"learning_rate": 4.991445467064689e-08,
|
608 |
+
"logits/chosen": -2.492781400680542,
|
609 |
+
"logits/rejected": -2.4609475135803223,
|
610 |
+
"logps/chosen": -508.40472412109375,
|
611 |
+
"logps/rejected": -797.5465087890625,
|
612 |
+
"loss": 0.007,
|
613 |
+
"rewards/accuracies": 0.699999988079071,
|
614 |
+
"rewards/chosen": -2.568449020385742,
|
615 |
+
"rewards/margins": 3.0519707202911377,
|
616 |
+
"rewards/rejected": -5.620419502258301,
|
617 |
"step": 390
|
618 |
},
|
619 |
{
|
620 |
+
"epoch": 0.84,
|
621 |
+
"learning_rate": 3.9507259776993954e-08,
|
622 |
+
"logits/chosen": -2.4738097190856934,
|
623 |
+
"logits/rejected": -2.4266116619110107,
|
624 |
+
"logps/chosen": -588.7605590820312,
|
625 |
+
"logps/rejected": -691.3428344726562,
|
626 |
+
"loss": 0.0067,
|
627 |
+
"rewards/accuracies": 0.6812499761581421,
|
628 |
+
"rewards/chosen": -3.0305678844451904,
|
629 |
+
"rewards/margins": 1.4075567722320557,
|
630 |
+
"rewards/rejected": -4.438124656677246,
|
631 |
+
"step": 400
|
632 |
+
},
|
633 |
+
{
|
634 |
+
"epoch": 0.84,
|
635 |
+
"eval_logits/chosen": -2.5238196849823,
|
636 |
+
"eval_logits/rejected": -2.498831272125244,
|
637 |
+
"eval_logps/chosen": -522.7908935546875,
|
638 |
+
"eval_logps/rejected": -820.4591674804688,
|
639 |
+
"eval_loss": 0.006906786467880011,
|
640 |
+
"eval_rewards/accuracies": 0.69140625,
|
641 |
+
"eval_rewards/chosen": -2.6575121879577637,
|
642 |
+
"eval_rewards/margins": 2.9735467433929443,
|
643 |
+
"eval_rewards/rejected": -5.631058692932129,
|
644 |
+
"eval_runtime": 53.4628,
|
645 |
+
"eval_samples_per_second": 37.409,
|
646 |
+
"eval_steps_per_second": 0.599,
|
647 |
"step": 400
|
648 |
},
|
649 |
+
{
|
650 |
+
"epoch": 0.86,
|
651 |
+
"learning_rate": 3.022313472693447e-08,
|
652 |
+
"logits/chosen": -2.507258653640747,
|
653 |
+
"logits/rejected": -2.4417152404785156,
|
654 |
+
"logps/chosen": -605.7719116210938,
|
655 |
+
"logps/rejected": -805.2724609375,
|
656 |
+
"loss": 0.0069,
|
657 |
+
"rewards/accuracies": 0.637499988079071,
|
658 |
+
"rewards/chosen": -3.4218215942382812,
|
659 |
+
"rewards/margins": 1.8162673711776733,
|
660 |
+
"rewards/rejected": -5.238089084625244,
|
661 |
+
"step": 410
|
662 |
+
},
|
663 |
+
{
|
664 |
+
"epoch": 0.88,
|
665 |
+
"learning_rate": 2.2111614344599684e-08,
|
666 |
+
"logits/chosen": -2.510485887527466,
|
667 |
+
"logits/rejected": -2.476248264312744,
|
668 |
+
"logps/chosen": -672.9176025390625,
|
669 |
+
"logps/rejected": -961.6502075195312,
|
670 |
+
"loss": 0.0068,
|
671 |
+
"rewards/accuracies": 0.6312500238418579,
|
672 |
+
"rewards/chosen": -3.8610453605651855,
|
673 |
+
"rewards/margins": 2.831366539001465,
|
674 |
+
"rewards/rejected": -6.692412376403809,
|
675 |
+
"step": 420
|
676 |
+
},
|
677 |
+
{
|
678 |
+
"epoch": 0.9,
|
679 |
+
"learning_rate": 1.521597710086439e-08,
|
680 |
+
"logits/chosen": -2.4765820503234863,
|
681 |
+
"logits/rejected": -2.446441173553467,
|
682 |
+
"logps/chosen": -610.9924926757812,
|
683 |
+
"logps/rejected": -819.8570556640625,
|
684 |
+
"loss": 0.0068,
|
685 |
+
"rewards/accuracies": 0.637499988079071,
|
686 |
+
"rewards/chosen": -3.207393169403076,
|
687 |
+
"rewards/margins": 2.247278928756714,
|
688 |
+
"rewards/rejected": -5.454671859741211,
|
689 |
+
"step": 430
|
690 |
+
},
|
691 |
+
{
|
692 |
+
"epoch": 0.92,
|
693 |
+
"learning_rate": 9.57301420397924e-09,
|
694 |
+
"logits/chosen": -2.5026493072509766,
|
695 |
+
"logits/rejected": -2.4737229347229004,
|
696 |
+
"logps/chosen": -692.0069580078125,
|
697 |
+
"logps/rejected": -766.7494506835938,
|
698 |
+
"loss": 0.0067,
|
699 |
+
"rewards/accuracies": 0.606249988079071,
|
700 |
+
"rewards/chosen": -3.769559383392334,
|
701 |
+
"rewards/margins": 1.2420024871826172,
|
702 |
+
"rewards/rejected": -5.011561870574951,
|
703 |
+
"step": 440
|
704 |
+
},
|
705 |
+
{
|
706 |
+
"epoch": 0.94,
|
707 |
+
"learning_rate": 5.212833302556258e-09,
|
708 |
+
"logits/chosen": -2.4708807468414307,
|
709 |
+
"logits/rejected": -2.445148468017578,
|
710 |
+
"logps/chosen": -619.1263427734375,
|
711 |
+
"logps/rejected": -817.3858032226562,
|
712 |
+
"loss": 0.0068,
|
713 |
+
"rewards/accuracies": 0.612500011920929,
|
714 |
+
"rewards/chosen": -3.3826870918273926,
|
715 |
+
"rewards/margins": 2.2892913818359375,
|
716 |
+
"rewards/rejected": -5.671978950500488,
|
717 |
+
"step": 450
|
718 |
+
},
|
719 |
+
{
|
720 |
+
"epoch": 0.96,
|
721 |
+
"learning_rate": 2.158697848236607e-09,
|
722 |
+
"logits/chosen": -2.4850497245788574,
|
723 |
+
"logits/rejected": -2.4442174434661865,
|
724 |
+
"logps/chosen": -721.6383056640625,
|
725 |
+
"logps/rejected": -822.6937255859375,
|
726 |
+
"loss": 0.0068,
|
727 |
+
"rewards/accuracies": 0.625,
|
728 |
+
"rewards/chosen": -4.212514400482178,
|
729 |
+
"rewards/margins": 1.3080599308013916,
|
730 |
+
"rewards/rejected": -5.520575046539307,
|
731 |
+
"step": 460
|
732 |
+
},
|
733 |
+
{
|
734 |
+
"epoch": 0.98,
|
735 |
+
"learning_rate": 4.269029751107489e-10,
|
736 |
+
"logits/chosen": -2.503718852996826,
|
737 |
+
"logits/rejected": -2.4400999546051025,
|
738 |
+
"logps/chosen": -659.8447875976562,
|
739 |
+
"logps/rejected": -753.3057861328125,
|
740 |
+
"loss": 0.0067,
|
741 |
+
"rewards/accuracies": 0.59375,
|
742 |
+
"rewards/chosen": -3.6163833141326904,
|
743 |
+
"rewards/margins": 1.5862648487091064,
|
744 |
+
"rewards/rejected": -5.202649116516113,
|
745 |
+
"step": 470
|
746 |
+
},
|
747 |
{
|
748 |
"epoch": 1.0,
|
749 |
+
"step": 478,
|
750 |
"total_flos": 0.0,
|
751 |
+
"train_loss": 0.007060731609184373,
|
752 |
+
"train_runtime": 4232.7551,
|
753 |
+
"train_samples_per_second": 14.443,
|
754 |
+
"train_steps_per_second": 0.113
|
755 |
}
|
756 |
],
|
757 |
"logging_steps": 10,
|
758 |
+
"max_steps": 478,
|
759 |
"num_train_epochs": 1,
|
760 |
+
"save_steps": 100,
|
761 |
"total_flos": 0.0,
|
762 |
"trial_name": null,
|
763 |
"trial_params": null
|