Model save
Browse files- README.md +16 -21
- adapter_config.json +4 -4
- adapter_model.safetensors +1 -1
- all_results.json +6 -19
- runs/Jul31_17-29-05_ip-172-16-2-184.us-west-2.compute.internal/events.out.tfevents.1722447034.ip-172-16-2-184.us-west-2.compute.internal.23039.0 +3 -0
- train_results.json +6 -6
- trainer_state.json +882 -1048
- training_args.bin +1 -1
README.md
CHANGED
@@ -1,12 +1,8 @@
|
|
1 |
---
|
2 |
base_model: HuggingFaceH4/zephyr-7b-gemma-sft-v0.1
|
3 |
-
datasets:
|
4 |
-
- argilla/dpo-mix-7k
|
5 |
-
- RedaAlami/PKU-SafeRLHF-Processed
|
6 |
library_name: peft
|
7 |
license: other
|
8 |
tags:
|
9 |
-
- alignment-handbook
|
10 |
- trl
|
11 |
- dpo
|
12 |
- generated_from_trainer
|
@@ -20,17 +16,17 @@ should probably proofread and complete it, then remove this comment. -->
|
|
20 |
|
21 |
# zephyr-7b-gemma-dpo
|
22 |
|
23 |
-
This model is a fine-tuned version of [HuggingFaceH4/zephyr-7b-gemma-sft-v0.1](https://huggingface.co/HuggingFaceH4/zephyr-7b-gemma-sft-v0.1) on
|
24 |
It achieves the following results on the evaluation set:
|
25 |
-
- Loss:
|
26 |
-
- Rewards/chosen:
|
27 |
-
- Rewards/rejected:
|
28 |
-
- Rewards/accuracies: 0.
|
29 |
-
- Rewards/margins: 0.
|
30 |
-
- Logps/rejected: -
|
31 |
-
- Logps/chosen: -
|
32 |
-
- Logits/rejected:
|
33 |
-
- Logits/chosen:
|
34 |
|
35 |
## Model description
|
36 |
|
@@ -67,13 +63,12 @@ The following hyperparameters were used during training:
|
|
67 |
|
68 |
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|
69 |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
|
70 |
-
|
|
71 |
-
|
|
72 |
-
|
|
73 |
-
|
|
74 |
-
|
|
75 |
-
|
|
76 |
-
| 0.6368 | 1.8217 | 700 | 0.6449 | -0.3403 | -0.5854 | 0.6065 | 0.2451 | -334.6864 | -295.8665 | 436.0117 | 452.6395 |
|
77 |
|
78 |
|
79 |
### Framework versions
|
|
|
1 |
---
|
2 |
base_model: HuggingFaceH4/zephyr-7b-gemma-sft-v0.1
|
|
|
|
|
|
|
3 |
library_name: peft
|
4 |
license: other
|
5 |
tags:
|
|
|
6 |
- trl
|
7 |
- dpo
|
8 |
- generated_from_trainer
|
|
|
16 |
|
17 |
# zephyr-7b-gemma-dpo
|
18 |
|
19 |
+
This model is a fine-tuned version of [HuggingFaceH4/zephyr-7b-gemma-sft-v0.1](https://huggingface.co/HuggingFaceH4/zephyr-7b-gemma-sft-v0.1) on an unknown dataset.
|
20 |
It achieves the following results on the evaluation set:
|
21 |
+
- Loss: 97.2543
|
22 |
+
- Rewards/chosen: 0.0424
|
23 |
+
- Rewards/rejected: 0.0341
|
24 |
+
- Rewards/accuracies: 0.5976
|
25 |
+
- Rewards/margins: 0.0083
|
26 |
+
- Logps/rejected: -2.3888
|
27 |
+
- Logps/chosen: -2.3300
|
28 |
+
- Logits/rejected: 384.5274
|
29 |
+
- Logits/chosen: 412.5387
|
30 |
|
31 |
## Model description
|
32 |
|
|
|
63 |
|
64 |
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|
65 |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
|
66 |
+
| 99.2543 | 0.3017 | 100 | 98.5109 | 0.0407 | 0.0354 | 0.5822 | 0.0053 | -2.3624 | -2.3625 | 390.8526 | 418.0560 |
|
67 |
+
| 98.8709 | 0.6033 | 200 | 98.0235 | 0.0431 | 0.0367 | 0.5788 | 0.0063 | -2.3359 | -2.3153 | 388.3781 | 415.9555 |
|
68 |
+
| 97.9389 | 0.9050 | 300 | 97.6159 | 0.0460 | 0.0381 | 0.5959 | 0.0078 | -2.3082 | -2.2581 | 386.4085 | 414.2633 |
|
69 |
+
| 96.4776 | 1.2066 | 400 | 97.3138 | 0.0431 | 0.0347 | 0.5908 | 0.0083 | -2.3763 | -2.3158 | 385.0537 | 413.0242 |
|
70 |
+
| 97.3613 | 1.5083 | 500 | 97.2518 | 0.0430 | 0.0346 | 0.5908 | 0.0083 | -2.3781 | -2.3180 | 384.5959 | 412.6117 |
|
71 |
+
| 97.5077 | 1.8100 | 600 | 97.2543 | 0.0424 | 0.0341 | 0.5976 | 0.0083 | -2.3888 | -2.3300 | 384.5274 | 412.5387 |
|
|
|
72 |
|
73 |
|
74 |
### Framework versions
|
adapter_config.json
CHANGED
@@ -21,12 +21,12 @@
|
|
21 |
"revision": null,
|
22 |
"target_modules": [
|
23 |
"q_proj",
|
|
|
24 |
"o_proj",
|
25 |
-
"up_proj",
|
26 |
-
"down_proj",
|
27 |
"gate_proj",
|
28 |
-
"
|
29 |
-
"
|
|
|
30 |
],
|
31 |
"task_type": "CAUSAL_LM",
|
32 |
"use_dora": false,
|
|
|
21 |
"revision": null,
|
22 |
"target_modules": [
|
23 |
"q_proj",
|
24 |
+
"v_proj",
|
25 |
"o_proj",
|
|
|
|
|
26 |
"gate_proj",
|
27 |
+
"k_proj",
|
28 |
+
"up_proj",
|
29 |
+
"down_proj"
|
30 |
],
|
31 |
"task_type": "CAUSAL_LM",
|
32 |
"use_dora": false,
|
adapter_model.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 800117240
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:f025b6f9d30b18456154dbd2150f8ec520d8c69f8064271ab7873aec7f04a36d
|
3 |
size 800117240
|
all_results.json
CHANGED
@@ -1,22 +1,9 @@
|
|
1 |
{
|
2 |
-
"epoch": 1.
|
3 |
-
"eval_logits/chosen": 452.641357421875,
|
4 |
-
"eval_logits/rejected": 436.01385498046875,
|
5 |
-
"eval_logps/chosen": -295.9647216796875,
|
6 |
-
"eval_logps/rejected": -334.555419921875,
|
7 |
-
"eval_loss": 0.6477869153022766,
|
8 |
-
"eval_rewards/accuracies": 0.6168639063835144,
|
9 |
-
"eval_rewards/chosen": -0.34524381160736084,
|
10 |
-
"eval_rewards/margins": 0.23360556364059448,
|
11 |
-
"eval_rewards/rejected": -0.5788493752479553,
|
12 |
-
"eval_runtime": 243.7753,
|
13 |
-
"eval_samples": 5406,
|
14 |
-
"eval_samples_per_second": 22.176,
|
15 |
-
"eval_steps_per_second": 0.693,
|
16 |
"total_flos": 0.0,
|
17 |
-
"train_loss":
|
18 |
-
"train_runtime":
|
19 |
-
"train_samples":
|
20 |
-
"train_samples_per_second":
|
21 |
-
"train_steps_per_second": 0.
|
22 |
}
|
|
|
1 |
{
|
2 |
+
"epoch": 1.9969834087481146,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
3 |
"total_flos": 0.0,
|
4 |
+
"train_loss": 98.05829228519313,
|
5 |
+
"train_runtime": 4353.733,
|
6 |
+
"train_samples": 42421,
|
7 |
+
"train_samples_per_second": 19.487,
|
8 |
+
"train_steps_per_second": 0.152
|
9 |
}
|
runs/Jul31_17-29-05_ip-172-16-2-184.us-west-2.compute.internal/events.out.tfevents.1722447034.ip-172-16-2-184.us-west-2.compute.internal.23039.0
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:98ce2a38ed58a0f59f46acdeb64bad41c8f006bbc47eab5d75dd1a664187bf9f
|
3 |
+
size 56440
|
train_results.json
CHANGED
@@ -1,9 +1,9 @@
|
|
1 |
{
|
2 |
-
"epoch": 1.
|
3 |
"total_flos": 0.0,
|
4 |
-
"train_loss":
|
5 |
-
"train_runtime":
|
6 |
-
"train_samples":
|
7 |
-
"train_samples_per_second":
|
8 |
-
"train_steps_per_second": 0.
|
9 |
}
|
|
|
1 |
{
|
2 |
+
"epoch": 1.9969834087481146,
|
3 |
"total_flos": 0.0,
|
4 |
+
"train_loss": 98.05829228519313,
|
5 |
+
"train_runtime": 4353.733,
|
6 |
+
"train_samples": 42421,
|
7 |
+
"train_samples_per_second": 19.487,
|
8 |
+
"train_steps_per_second": 0.152
|
9 |
}
|
trainer_state.json
CHANGED
@@ -1,22 +1,22 @@
|
|
1 |
{
|
2 |
"best_metric": null,
|
3 |
"best_model_checkpoint": null,
|
4 |
-
"epoch": 1.
|
5 |
"eval_steps": 100,
|
6 |
-
"global_step":
|
7 |
"is_hyper_param_search": false,
|
8 |
"is_local_process_zero": true,
|
9 |
"is_world_process_zero": true,
|
10 |
"log_history": [
|
11 |
{
|
12 |
-
"epoch": 0.
|
13 |
-
"grad_norm":
|
14 |
-
"learning_rate":
|
15 |
-
"logits/chosen":
|
16 |
-
"logits/rejected":
|
17 |
-
"logps/chosen": -
|
18 |
-
"logps/rejected": -
|
19 |
-
"loss": 0
|
20 |
"rewards/accuracies": 0.0,
|
21 |
"rewards/chosen": 0.0,
|
22 |
"rewards/margins": 0.0,
|
@@ -24,1269 +24,1103 @@
|
|
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":
|
35 |
-
"rewards/accuracies": 0.
|
36 |
-
"rewards/chosen": 0.
|
37 |
-
"rewards/margins": 0.
|
38 |
-
"rewards/rejected": -0.
|
39 |
"step": 10
|
40 |
},
|
41 |
{
|
42 |
-
"epoch": 0.
|
43 |
-
"grad_norm":
|
44 |
-
"learning_rate": 1.
|
45 |
-
"logits/chosen":
|
46 |
-
"logits/rejected":
|
47 |
-
"logps/chosen": -
|
48 |
-
"logps/rejected": -
|
49 |
-
"loss":
|
50 |
-
"rewards/accuracies": 0.
|
51 |
-
"rewards/chosen": -0.
|
52 |
-
"rewards/margins": -0.
|
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":
|
65 |
-
"rewards/accuracies": 0.
|
66 |
-
"rewards/chosen":
|
67 |
-
"rewards/margins":
|
68 |
-
"rewards/rejected": 0.
|
69 |
"step": 30
|
70 |
},
|
71 |
{
|
72 |
-
"epoch": 0.
|
73 |
-
"grad_norm":
|
74 |
-
"learning_rate": 2.
|
75 |
-
"logits/chosen":
|
76 |
-
"logits/rejected":
|
77 |
-
"logps/chosen": -
|
78 |
-
"logps/rejected": -
|
79 |
-
"loss":
|
80 |
-
"rewards/accuracies": 0.
|
81 |
-
"rewards/chosen":
|
82 |
-
"rewards/margins": 0.
|
83 |
-
"rewards/rejected":
|
84 |
"step": 40
|
85 |
},
|
86 |
{
|
87 |
-
"epoch": 0.
|
88 |
-
"grad_norm":
|
89 |
-
"learning_rate": 3.
|
90 |
-
"logits/chosen":
|
91 |
-
"logits/rejected":
|
92 |
-
"logps/chosen": -
|
93 |
-
"logps/rejected": -
|
94 |
-
"loss":
|
95 |
-
"rewards/accuracies": 0.
|
96 |
-
"rewards/chosen": 0.
|
97 |
-
"rewards/margins": 0.
|
98 |
-
"rewards/rejected":
|
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":
|
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": 4.
|
120 |
-
"logits/chosen":
|
121 |
-
"logits/rejected":
|
122 |
-
"logps/chosen": -
|
123 |
-
"logps/rejected": -
|
124 |
-
"loss":
|
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": 4.
|
135 |
-
"logits/chosen":
|
136 |
-
"logits/rejected":
|
137 |
-
"logps/chosen": -
|
138 |
-
"logps/rejected": -
|
139 |
-
"loss":
|
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": 4.
|
150 |
-
"logits/chosen":
|
151 |
-
"logits/rejected":
|
152 |
-
"logps/chosen": -
|
153 |
-
"logps/rejected": -
|
154 |
-
"loss":
|
155 |
-
"rewards/accuracies": 0.
|
156 |
-
"rewards/chosen": 0.
|
157 |
-
"rewards/margins": 0.
|
158 |
-
"rewards/rejected": 0.
|
159 |
"step": 90
|
160 |
},
|
161 |
{
|
162 |
-
"epoch": 0.
|
163 |
-
"grad_norm":
|
164 |
-
"learning_rate": 4.
|
165 |
-
"logits/chosen":
|
166 |
-
"logits/rejected":
|
167 |
-
"logps/chosen": -
|
168 |
-
"logps/rejected": -
|
169 |
-
"loss":
|
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 |
-
"eval_logits/chosen":
|
179 |
-
"eval_logits/rejected":
|
180 |
-
"eval_logps/chosen": -
|
181 |
-
"eval_logps/rejected": -
|
182 |
-
"eval_loss":
|
183 |
-
"eval_rewards/accuracies": 0.
|
184 |
-
"eval_rewards/chosen": 0.
|
185 |
-
"eval_rewards/margins": 0.
|
186 |
-
"eval_rewards/rejected": 0.
|
187 |
-
"eval_runtime":
|
188 |
-
"eval_samples_per_second":
|
189 |
-
"eval_steps_per_second":
|
190 |
"step": 100
|
191 |
},
|
192 |
{
|
193 |
-
"epoch": 0.
|
194 |
-
"grad_norm":
|
195 |
-
"learning_rate": 4.
|
196 |
-
"logits/chosen":
|
197 |
-
"logits/rejected":
|
198 |
-
"logps/chosen": -
|
199 |
-
"logps/rejected": -
|
200 |
-
"loss":
|
201 |
-
"rewards/accuracies": 0.
|
202 |
-
"rewards/chosen": 0.
|
203 |
-
"rewards/margins": 0.
|
204 |
-
"rewards/rejected": 0.
|
205 |
"step": 110
|
206 |
},
|
207 |
{
|
208 |
-
"epoch": 0.
|
209 |
-
"grad_norm":
|
210 |
-
"learning_rate": 4.
|
211 |
-
"logits/chosen":
|
212 |
-
"logits/rejected":
|
213 |
-
"logps/chosen": -
|
214 |
-
"logps/rejected": -
|
215 |
-
"loss":
|
216 |
-
"rewards/accuracies": 0.
|
217 |
-
"rewards/chosen": 0.
|
218 |
-
"rewards/margins": 0.
|
219 |
-
"rewards/rejected": 0.
|
220 |
"step": 120
|
221 |
},
|
222 |
{
|
223 |
-
"epoch": 0.
|
224 |
-
"grad_norm":
|
225 |
-
"learning_rate": 4.
|
226 |
-
"logits/chosen":
|
227 |
-
"logits/rejected":
|
228 |
-
"logps/chosen": -
|
229 |
-
"logps/rejected": -
|
230 |
-
"loss":
|
231 |
-
"rewards/accuracies": 0.
|
232 |
-
"rewards/chosen": 0.
|
233 |
-
"rewards/margins": 0.
|
234 |
-
"rewards/rejected": 0.
|
235 |
"step": 130
|
236 |
},
|
237 |
{
|
238 |
-
"epoch": 0.
|
239 |
-
"grad_norm":
|
240 |
-
"learning_rate": 4.
|
241 |
-
"logits/chosen":
|
242 |
-
"logits/rejected":
|
243 |
-
"logps/chosen": -
|
244 |
-
"logps/rejected": -
|
245 |
-
"loss":
|
246 |
-
"rewards/accuracies": 0.
|
247 |
-
"rewards/chosen": 0.
|
248 |
-
"rewards/margins": 0.
|
249 |
-
"rewards/rejected": 0.
|
250 |
"step": 140
|
251 |
},
|
252 |
{
|
253 |
-
"epoch": 0.
|
254 |
-
"grad_norm":
|
255 |
-
"learning_rate": 4.
|
256 |
-
"logits/chosen":
|
257 |
-
"logits/rejected":
|
258 |
-
"logps/chosen": -
|
259 |
-
"logps/rejected": -
|
260 |
-
"loss":
|
261 |
-
"rewards/accuracies": 0.
|
262 |
-
"rewards/chosen": 0.
|
263 |
-
"rewards/margins": 0.
|
264 |
-
"rewards/rejected": 0.
|
265 |
"step": 150
|
266 |
},
|
267 |
{
|
268 |
-
"epoch": 0.
|
269 |
-
"grad_norm":
|
270 |
-
"learning_rate": 4.
|
271 |
-
"logits/chosen":
|
272 |
-
"logits/rejected":
|
273 |
-
"logps/chosen": -
|
274 |
-
"logps/rejected": -
|
275 |
-
"loss":
|
276 |
-
"rewards/accuracies": 0.
|
277 |
-
"rewards/chosen": 0.
|
278 |
-
"rewards/margins": -0.
|
279 |
-
"rewards/rejected": 0.
|
280 |
"step": 160
|
281 |
},
|
282 |
{
|
283 |
-
"epoch": 0.
|
284 |
-
"grad_norm":
|
285 |
-
"learning_rate": 4.
|
286 |
-
"logits/chosen":
|
287 |
-
"logits/rejected":
|
288 |
-
"logps/chosen": -
|
289 |
-
"logps/rejected": -
|
290 |
-
"loss":
|
291 |
-
"rewards/accuracies": 0.
|
292 |
-
"rewards/chosen": 0.
|
293 |
-
"rewards/margins": 0.
|
294 |
-
"rewards/rejected": 0.
|
295 |
"step": 170
|
296 |
},
|
297 |
{
|
298 |
-
"epoch": 0.
|
299 |
-
"grad_norm":
|
300 |
-
"learning_rate": 4.
|
301 |
-
"logits/chosen":
|
302 |
-
"logits/rejected":
|
303 |
-
"logps/chosen": -
|
304 |
-
"logps/rejected": -
|
305 |
-
"loss":
|
306 |
-
"rewards/accuracies": 0.
|
307 |
-
"rewards/chosen": 0.
|
308 |
-
"rewards/margins": 0.
|
309 |
-
"rewards/rejected": 0.
|
310 |
"step": 180
|
311 |
},
|
312 |
{
|
313 |
-
"epoch": 0.
|
314 |
-
"grad_norm":
|
315 |
-
"learning_rate": 4.
|
316 |
-
"logits/chosen":
|
317 |
-
"logits/rejected":
|
318 |
-
"logps/chosen": -
|
319 |
-
"logps/rejected": -
|
320 |
-
"loss":
|
321 |
"rewards/accuracies": 0.574999988079071,
|
322 |
-
"rewards/chosen": 0.
|
323 |
-
"rewards/margins": 0.
|
324 |
-
"rewards/rejected": 0.
|
325 |
"step": 190
|
326 |
},
|
327 |
{
|
328 |
-
"epoch": 0.
|
329 |
-
"grad_norm":
|
330 |
-
"learning_rate": 4.
|
331 |
-
"logits/chosen":
|
332 |
-
"logits/rejected":
|
333 |
-
"logps/chosen": -
|
334 |
-
"logps/rejected": -
|
335 |
-
"loss":
|
336 |
"rewards/accuracies": 0.574999988079071,
|
337 |
-
"rewards/chosen": 0.
|
338 |
-
"rewards/margins": 0.
|
339 |
-
"rewards/rejected": 0.
|
340 |
"step": 200
|
341 |
},
|
342 |
{
|
343 |
-
"epoch": 0.
|
344 |
-
"eval_logits/chosen":
|
345 |
-
"eval_logits/rejected":
|
346 |
-
"eval_logps/chosen": -
|
347 |
-
"eval_logps/rejected": -
|
348 |
-
"eval_loss":
|
349 |
-
"eval_rewards/accuracies": 0.
|
350 |
-
"eval_rewards/chosen": 0.
|
351 |
-
"eval_rewards/margins": 0.
|
352 |
-
"eval_rewards/rejected": 0.
|
353 |
-
"eval_runtime":
|
354 |
-
"eval_samples_per_second":
|
355 |
-
"eval_steps_per_second":
|
356 |
"step": 200
|
357 |
},
|
358 |
{
|
359 |
-
"epoch": 0.
|
360 |
-
"grad_norm":
|
361 |
-
"learning_rate": 4.
|
362 |
-
"logits/chosen":
|
363 |
-
"logits/rejected":
|
364 |
-
"logps/chosen": -
|
365 |
-
"logps/rejected": -
|
366 |
-
"loss":
|
367 |
"rewards/accuracies": 0.550000011920929,
|
368 |
-
"rewards/chosen": 0.
|
369 |
-
"rewards/margins": 0.
|
370 |
-
"rewards/rejected":
|
371 |
"step": 210
|
372 |
},
|
373 |
{
|
374 |
-
"epoch": 0.
|
375 |
-
"grad_norm":
|
376 |
-
"learning_rate": 4.
|
377 |
-
"logits/chosen":
|
378 |
-
"logits/rejected":
|
379 |
-
"logps/chosen": -
|
380 |
-
"logps/rejected": -
|
381 |
-
"loss":
|
382 |
-
"rewards/accuracies": 0.
|
383 |
-
"rewards/chosen": 0.
|
384 |
-
"rewards/margins": 0.
|
385 |
-
"rewards/rejected": 0.
|
386 |
"step": 220
|
387 |
},
|
388 |
{
|
389 |
-
"epoch": 0.
|
390 |
-
"grad_norm":
|
391 |
-
"learning_rate": 4.
|
392 |
-
"logits/chosen":
|
393 |
-
"logits/rejected":
|
394 |
-
"logps/chosen": -
|
395 |
-
"logps/rejected": -
|
396 |
-
"loss":
|
397 |
-
"rewards/accuracies": 0.
|
398 |
-
"rewards/chosen": 0.
|
399 |
-
"rewards/margins": 0.
|
400 |
-
"rewards/rejected":
|
401 |
"step": 230
|
402 |
},
|
403 |
{
|
404 |
-
"epoch": 0.
|
405 |
-
"grad_norm":
|
406 |
-
"learning_rate": 4.
|
407 |
-
"logits/chosen":
|
408 |
-
"logits/rejected":
|
409 |
-
"logps/chosen": -
|
410 |
-
"logps/rejected": -
|
411 |
-
"loss":
|
412 |
-
"rewards/accuracies": 0.
|
413 |
-
"rewards/chosen": 0.
|
414 |
-
"rewards/margins": 0.
|
415 |
-
"rewards/rejected": 0.
|
416 |
"step": 240
|
417 |
},
|
418 |
{
|
419 |
-
"epoch": 0.
|
420 |
-
"grad_norm":
|
421 |
-
"learning_rate":
|
422 |
-
"logits/chosen":
|
423 |
-
"logits/rejected":
|
424 |
-
"logps/chosen": -
|
425 |
-
"logps/rejected": -
|
426 |
-
"loss":
|
427 |
-
"rewards/accuracies": 0.
|
428 |
-
"rewards/chosen": 0.
|
429 |
-
"rewards/margins": 0.
|
430 |
-
"rewards/rejected":
|
431 |
"step": 250
|
432 |
},
|
433 |
{
|
434 |
-
"epoch": 0.
|
435 |
-
"grad_norm":
|
436 |
-
"learning_rate":
|
437 |
-
"logits/chosen":
|
438 |
-
"logits/rejected":
|
439 |
-
"logps/chosen": -
|
440 |
-
"logps/rejected": -
|
441 |
-
"loss":
|
442 |
-
"rewards/accuracies": 0.
|
443 |
-
"rewards/chosen": 0.
|
444 |
-
"rewards/margins": 0.
|
445 |
-
"rewards/rejected":
|
446 |
"step": 260
|
447 |
},
|
448 |
{
|
449 |
-
"epoch": 0.
|
450 |
-
"grad_norm":
|
451 |
-
"learning_rate":
|
452 |
-
"logits/chosen":
|
453 |
-
"logits/rejected":
|
454 |
-
"logps/chosen": -
|
455 |
-
"logps/rejected": -
|
456 |
-
"loss":
|
457 |
-
"rewards/accuracies": 0.
|
458 |
-
"rewards/chosen": 0.
|
459 |
-
"rewards/margins": 0.
|
460 |
-
"rewards/rejected":
|
461 |
"step": 270
|
462 |
},
|
463 |
{
|
464 |
-
"epoch": 0.
|
465 |
-
"grad_norm":
|
466 |
-
"learning_rate":
|
467 |
-
"logits/chosen":
|
468 |
-
"logits/rejected":
|
469 |
-
"logps/chosen": -
|
470 |
-
"logps/rejected": -
|
471 |
-
"loss":
|
472 |
-
"rewards/accuracies": 0.
|
473 |
-
"rewards/chosen": 0.
|
474 |
-
"rewards/margins": 0.
|
475 |
-
"rewards/rejected":
|
476 |
"step": 280
|
477 |
},
|
478 |
{
|
479 |
-
"epoch": 0.
|
480 |
-
"grad_norm":
|
481 |
-
"learning_rate": 3.
|
482 |
-
"logits/chosen":
|
483 |
-
"logits/rejected":
|
484 |
-
"logps/chosen": -
|
485 |
-
"logps/rejected": -
|
486 |
-
"loss":
|
487 |
-
"rewards/accuracies": 0.
|
488 |
-
"rewards/chosen":
|
489 |
-
"rewards/margins": 0.
|
490 |
-
"rewards/rejected":
|
491 |
"step": 290
|
492 |
},
|
493 |
{
|
494 |
-
"epoch": 0.
|
495 |
-
"grad_norm":
|
496 |
-
"learning_rate": 3.
|
497 |
-
"logits/chosen":
|
498 |
-
"logits/rejected":
|
499 |
-
"logps/chosen": -
|
500 |
-
"logps/rejected": -
|
501 |
-
"loss":
|
502 |
-
"rewards/accuracies": 0.
|
503 |
-
"rewards/chosen":
|
504 |
-
"rewards/margins": 0.
|
505 |
-
"rewards/rejected":
|
506 |
"step": 300
|
507 |
},
|
508 |
{
|
509 |
-
"epoch": 0.
|
510 |
-
"eval_logits/chosen":
|
511 |
-
"eval_logits/rejected":
|
512 |
-
"eval_logps/chosen": -
|
513 |
-
"eval_logps/rejected": -
|
514 |
-
"eval_loss":
|
515 |
-
"eval_rewards/accuracies": 0.
|
516 |
-
"eval_rewards/chosen":
|
517 |
-
"eval_rewards/margins": 0.
|
518 |
-
"eval_rewards/rejected":
|
519 |
-
"eval_runtime":
|
520 |
-
"eval_samples_per_second":
|
521 |
-
"eval_steps_per_second":
|
522 |
"step": 300
|
523 |
},
|
524 |
{
|
525 |
-
"epoch": 0.
|
526 |
-
"grad_norm":
|
527 |
-
"learning_rate": 3.
|
528 |
-
"logits/chosen":
|
529 |
-
"logits/rejected":
|
530 |
-
"logps/chosen": -
|
531 |
-
"logps/rejected": -
|
532 |
-
"loss":
|
533 |
-
"rewards/accuracies": 0.
|
534 |
-
"rewards/chosen":
|
535 |
-
"rewards/margins": 0.
|
536 |
-
"rewards/rejected":
|
537 |
"step": 310
|
538 |
},
|
539 |
{
|
540 |
-
"epoch": 0.
|
541 |
-
"grad_norm":
|
542 |
-
"learning_rate": 3.
|
543 |
-
"logits/chosen":
|
544 |
-
"logits/rejected":
|
545 |
-
"logps/chosen": -
|
546 |
-
"logps/rejected": -
|
547 |
-
"loss":
|
548 |
"rewards/accuracies": 0.606249988079071,
|
549 |
-
"rewards/chosen":
|
550 |
-
"rewards/margins": 0.
|
551 |
-
"rewards/rejected":
|
552 |
"step": 320
|
553 |
},
|
554 |
{
|
555 |
-
"epoch": 0.
|
556 |
-
"grad_norm":
|
557 |
-
"learning_rate":
|
558 |
-
"logits/chosen":
|
559 |
-
"logits/rejected":
|
560 |
-
"logps/chosen": -
|
561 |
-
"logps/rejected": -
|
562 |
-
"loss":
|
563 |
-
"rewards/accuracies": 0.
|
564 |
-
"rewards/chosen":
|
565 |
-
"rewards/margins": 0.
|
566 |
-
"rewards/rejected":
|
567 |
"step": 330
|
568 |
},
|
569 |
{
|
570 |
-
"epoch":
|
571 |
-
"grad_norm":
|
572 |
-
"learning_rate":
|
573 |
-
"logits/chosen":
|
574 |
-
"logits/rejected":
|
575 |
-
"logps/chosen": -
|
576 |
-
"logps/rejected": -
|
577 |
-
"loss":
|
578 |
-
"rewards/accuracies": 0.
|
579 |
-
"rewards/chosen":
|
580 |
-
"rewards/margins": 0.
|
581 |
-
"rewards/rejected":
|
582 |
"step": 340
|
583 |
},
|
584 |
{
|
585 |
-
"epoch":
|
586 |
-
"grad_norm":
|
587 |
-
"learning_rate":
|
588 |
-
"logits/chosen":
|
589 |
-
"logits/rejected": 353.
|
590 |
-
"logps/chosen": -
|
591 |
-
"logps/rejected": -
|
592 |
-
"loss":
|
593 |
-
"rewards/accuracies": 0.
|
594 |
-
"rewards/chosen":
|
595 |
-
"rewards/margins": 0.
|
596 |
-
"rewards/rejected":
|
597 |
"step": 350
|
598 |
},
|
599 |
{
|
600 |
-
"epoch":
|
601 |
-
"grad_norm":
|
602 |
-
"learning_rate":
|
603 |
-
"logits/chosen":
|
604 |
-
"logits/rejected":
|
605 |
-
"logps/chosen": -
|
606 |
-
"logps/rejected": -
|
607 |
-
"loss":
|
608 |
-
"rewards/accuracies": 0.
|
609 |
-
"rewards/chosen":
|
610 |
-
"rewards/margins": 0.
|
611 |
-
"rewards/rejected":
|
612 |
"step": 360
|
613 |
},
|
614 |
{
|
615 |
-
"epoch":
|
616 |
-
"grad_norm":
|
617 |
-
"learning_rate":
|
618 |
-
"logits/chosen":
|
619 |
-
"logits/rejected":
|
620 |
-
"logps/chosen": -
|
621 |
-
"logps/rejected": -
|
622 |
-
"loss":
|
623 |
-
"rewards/accuracies": 0.
|
624 |
-
"rewards/chosen":
|
625 |
-
"rewards/margins": 0.
|
626 |
-
"rewards/rejected":
|
627 |
"step": 370
|
628 |
},
|
629 |
{
|
630 |
-
"epoch":
|
631 |
-
"grad_norm":
|
632 |
-
"learning_rate": 2.
|
633 |
-
"logits/chosen":
|
634 |
-
"logits/rejected":
|
635 |
-
"logps/chosen": -
|
636 |
-
"logps/rejected": -
|
637 |
-
"loss":
|
638 |
-
"rewards/accuracies": 0.
|
639 |
-
"rewards/chosen":
|
640 |
-
"rewards/margins": 0.
|
641 |
-
"rewards/rejected":
|
642 |
"step": 380
|
643 |
},
|
644 |
{
|
645 |
-
"epoch": 1.
|
646 |
-
"grad_norm":
|
647 |
-
"learning_rate": 2.
|
648 |
-
"logits/chosen":
|
649 |
-
"logits/rejected":
|
650 |
-
"logps/chosen": -
|
651 |
-
"logps/rejected": -
|
652 |
-
"loss":
|
653 |
-
"rewards/accuracies": 0.
|
654 |
-
"rewards/chosen":
|
655 |
-
"rewards/margins": 0.
|
656 |
-
"rewards/rejected":
|
657 |
"step": 390
|
658 |
},
|
659 |
{
|
660 |
-
"epoch": 1.
|
661 |
-
"grad_norm":
|
662 |
-
"learning_rate": 2.
|
663 |
-
"logits/chosen":
|
664 |
-
"logits/rejected":
|
665 |
-
"logps/chosen": -
|
666 |
-
"logps/rejected": -
|
667 |
-
"loss":
|
668 |
-
"rewards/accuracies": 0.
|
669 |
-
"rewards/chosen":
|
670 |
-
"rewards/margins": 0.
|
671 |
-
"rewards/rejected":
|
672 |
"step": 400
|
673 |
},
|
674 |
{
|
675 |
-
"epoch": 1.
|
676 |
-
"eval_logits/chosen":
|
677 |
-
"eval_logits/rejected":
|
678 |
-
"eval_logps/chosen": -
|
679 |
-
"eval_logps/rejected": -
|
680 |
-
"eval_loss":
|
681 |
-
"eval_rewards/accuracies": 0.
|
682 |
-
"eval_rewards/chosen":
|
683 |
-
"eval_rewards/margins": 0.
|
684 |
-
"eval_rewards/rejected":
|
685 |
-
"eval_runtime":
|
686 |
-
"eval_samples_per_second":
|
687 |
-
"eval_steps_per_second":
|
688 |
"step": 400
|
689 |
},
|
690 |
{
|
691 |
-
"epoch": 1.
|
692 |
-
"grad_norm":
|
693 |
-
"learning_rate":
|
694 |
-
"logits/chosen":
|
695 |
-
"logits/rejected":
|
696 |
-
"logps/chosen": -
|
697 |
-
"logps/rejected": -
|
698 |
-
"loss":
|
699 |
-
"rewards/accuracies": 0.
|
700 |
-
"rewards/chosen":
|
701 |
-
"rewards/margins": 0.
|
702 |
-
"rewards/rejected":
|
703 |
"step": 410
|
704 |
},
|
705 |
{
|
706 |
-
"epoch": 1.
|
707 |
-
"grad_norm":
|
708 |
-
"learning_rate":
|
709 |
-
"logits/chosen":
|
710 |
-
"logits/rejected":
|
711 |
-
"logps/chosen": -
|
712 |
-
"logps/rejected": -
|
713 |
-
"loss":
|
714 |
-
"rewards/accuracies": 0.
|
715 |
-
"rewards/chosen":
|
716 |
-
"rewards/margins": 0.
|
717 |
-
"rewards/rejected":
|
718 |
"step": 420
|
719 |
},
|
720 |
{
|
721 |
-
"epoch": 1.
|
722 |
-
"grad_norm":
|
723 |
-
"learning_rate":
|
724 |
-
"logits/chosen":
|
725 |
-
"logits/rejected":
|
726 |
-
"logps/chosen": -
|
727 |
-
"logps/rejected": -
|
728 |
-
"loss":
|
729 |
-
"rewards/accuracies": 0.
|
730 |
-
"rewards/chosen":
|
731 |
-
"rewards/margins": 0.
|
732 |
-
"rewards/rejected":
|
733 |
"step": 430
|
734 |
},
|
735 |
{
|
736 |
-
"epoch": 1.
|
737 |
-
"grad_norm":
|
738 |
-
"learning_rate":
|
739 |
-
"logits/chosen":
|
740 |
-
"logits/rejected":
|
741 |
-
"logps/chosen": -
|
742 |
-
"logps/rejected": -
|
743 |
-
"loss":
|
744 |
-
"rewards/accuracies": 0.
|
745 |
-
"rewards/chosen":
|
746 |
-
"rewards/margins": 0.
|
747 |
-
"rewards/rejected":
|
748 |
"step": 440
|
749 |
},
|
750 |
{
|
751 |
-
"epoch": 1.
|
752 |
-
"grad_norm":
|
753 |
-
"learning_rate":
|
754 |
-
"logits/chosen":
|
755 |
-
"logits/rejected":
|
756 |
-
"logps/chosen": -
|
757 |
-
"logps/rejected": -
|
758 |
-
"loss":
|
759 |
-
"rewards/accuracies": 0.
|
760 |
-
"rewards/chosen":
|
761 |
-
"rewards/margins": 0.
|
762 |
-
"rewards/rejected":
|
763 |
"step": 450
|
764 |
},
|
765 |
{
|
766 |
-
"epoch": 1.
|
767 |
-
"grad_norm":
|
768 |
-
"learning_rate":
|
769 |
-
"logits/chosen":
|
770 |
-
"logits/rejected":
|
771 |
-
"logps/chosen": -
|
772 |
-
"logps/rejected": -
|
773 |
-
"loss":
|
774 |
-
"rewards/accuracies": 0.
|
775 |
-
"rewards/chosen":
|
776 |
-
"rewards/margins": 0.
|
777 |
-
"rewards/rejected":
|
778 |
"step": 460
|
779 |
},
|
780 |
{
|
781 |
-
"epoch": 1.
|
782 |
-
"grad_norm":
|
783 |
-
"learning_rate": 1.
|
784 |
-
"logits/chosen":
|
785 |
-
"logits/rejected":
|
786 |
-
"logps/chosen": -
|
787 |
-
"logps/rejected": -
|
788 |
-
"loss":
|
789 |
-
"rewards/accuracies": 0.
|
790 |
-
"rewards/chosen":
|
791 |
-
"rewards/margins": 0.
|
792 |
-
"rewards/rejected":
|
793 |
"step": 470
|
794 |
},
|
795 |
{
|
796 |
-
"epoch": 1.
|
797 |
-
"grad_norm":
|
798 |
-
"learning_rate": 1.
|
799 |
-
"logits/chosen":
|
800 |
-
"logits/rejected":
|
801 |
-
"logps/chosen": -
|
802 |
-
"logps/rejected": -
|
803 |
-
"loss":
|
804 |
-
"rewards/accuracies": 0.
|
805 |
-
"rewards/chosen":
|
806 |
-
"rewards/margins": 0.
|
807 |
-
"rewards/rejected":
|
808 |
"step": 480
|
809 |
},
|
810 |
{
|
811 |
-
"epoch": 1.
|
812 |
-
"grad_norm":
|
813 |
-
"learning_rate":
|
814 |
-
"logits/chosen":
|
815 |
-
"logits/rejected":
|
816 |
-
"logps/chosen": -
|
817 |
-
"logps/rejected": -
|
818 |
-
"loss":
|
819 |
-
"rewards/accuracies": 0.
|
820 |
-
"rewards/chosen":
|
821 |
-
"rewards/margins": 0.
|
822 |
-
"rewards/rejected":
|
823 |
"step": 490
|
824 |
},
|
825 |
{
|
826 |
-
"epoch": 1.
|
827 |
-
"grad_norm":
|
828 |
-
"learning_rate":
|
829 |
-
"logits/chosen":
|
830 |
-
"logits/rejected":
|
831 |
-
"logps/chosen": -
|
832 |
-
"logps/rejected": -
|
833 |
-
"loss":
|
834 |
-
"rewards/accuracies": 0.
|
835 |
-
"rewards/chosen":
|
836 |
-
"rewards/margins": 0.
|
837 |
-
"rewards/rejected":
|
838 |
"step": 500
|
839 |
},
|
840 |
{
|
841 |
-
"epoch": 1.
|
842 |
-
"eval_logits/chosen":
|
843 |
-
"eval_logits/rejected":
|
844 |
-
"eval_logps/chosen": -
|
845 |
-
"eval_logps/rejected": -
|
846 |
-
"eval_loss":
|
847 |
-
"eval_rewards/accuracies": 0.
|
848 |
-
"eval_rewards/chosen":
|
849 |
-
"eval_rewards/margins": 0.
|
850 |
-
"eval_rewards/rejected":
|
851 |
-
"eval_runtime":
|
852 |
-
"eval_samples_per_second":
|
853 |
-
"eval_steps_per_second":
|
854 |
"step": 500
|
855 |
},
|
856 |
{
|
857 |
-
"epoch": 1.
|
858 |
-
"grad_norm":
|
859 |
-
"learning_rate":
|
860 |
-
"logits/chosen":
|
861 |
-
"logits/rejected":
|
862 |
-
"logps/chosen": -
|
863 |
-
"logps/rejected": -
|
864 |
-
"loss":
|
865 |
-
"rewards/accuracies": 0.
|
866 |
-
"rewards/chosen":
|
867 |
-
"rewards/margins": 0.
|
868 |
-
"rewards/rejected":
|
869 |
"step": 510
|
870 |
},
|
871 |
{
|
872 |
-
"epoch": 1.
|
873 |
-
"grad_norm":
|
874 |
-
"learning_rate":
|
875 |
-
"logits/chosen":
|
876 |
-
"logits/rejected":
|
877 |
-
"logps/chosen": -
|
878 |
-
"logps/rejected": -
|
879 |
-
"loss":
|
880 |
-
"rewards/accuracies": 0.
|
881 |
-
"rewards/chosen":
|
882 |
-
"rewards/margins": 0.
|
883 |
-
"rewards/rejected":
|
884 |
"step": 520
|
885 |
},
|
886 |
{
|
887 |
-
"epoch": 1.
|
888 |
-
"grad_norm":
|
889 |
-
"learning_rate":
|
890 |
-
"logits/chosen":
|
891 |
-
"logits/rejected":
|
892 |
-
"logps/chosen": -
|
893 |
-
"logps/rejected": -
|
894 |
-
"loss":
|
895 |
-
"rewards/accuracies": 0.
|
896 |
-
"rewards/chosen":
|
897 |
-
"rewards/margins": 0.
|
898 |
-
"rewards/rejected":
|
899 |
"step": 530
|
900 |
},
|
901 |
{
|
902 |
-
"epoch": 1.
|
903 |
-
"grad_norm":
|
904 |
-
"learning_rate":
|
905 |
-
"logits/chosen":
|
906 |
-
"logits/rejected":
|
907 |
-
"logps/chosen": -
|
908 |
-
"logps/rejected": -
|
909 |
-
"loss":
|
910 |
-
"rewards/accuracies": 0.
|
911 |
-
"rewards/chosen":
|
912 |
-
"rewards/margins": 0.
|
913 |
-
"rewards/rejected":
|
914 |
"step": 540
|
915 |
},
|
916 |
{
|
917 |
-
"epoch": 1.
|
918 |
-
"grad_norm":
|
919 |
-
"learning_rate":
|
920 |
-
"logits/chosen":
|
921 |
-
"logits/rejected":
|
922 |
-
"logps/chosen": -
|
923 |
-
"logps/rejected": -
|
924 |
-
"loss":
|
925 |
-
"rewards/accuracies": 0.
|
926 |
-
"rewards/chosen":
|
927 |
-
"rewards/margins": 0.
|
928 |
-
"rewards/rejected":
|
929 |
"step": 550
|
930 |
},
|
931 |
{
|
932 |
-
"epoch": 1.
|
933 |
-
"grad_norm":
|
934 |
-
"learning_rate":
|
935 |
-
"logits/chosen":
|
936 |
-
"logits/rejected":
|
937 |
-
"logps/chosen": -
|
938 |
-
"logps/rejected": -
|
939 |
-
"loss":
|
940 |
-
"rewards/accuracies": 0.
|
941 |
-
"rewards/chosen":
|
942 |
-
"rewards/margins": 0.
|
943 |
-
"rewards/rejected":
|
944 |
"step": 560
|
945 |
},
|
946 |
{
|
947 |
-
"epoch": 1.
|
948 |
-
"grad_norm":
|
949 |
-
"learning_rate":
|
950 |
-
"logits/chosen":
|
951 |
-
"logits/rejected":
|
952 |
-
"logps/chosen": -
|
953 |
-
"logps/rejected": -
|
954 |
-
"loss":
|
955 |
-
"rewards/accuracies": 0.
|
956 |
-
"rewards/chosen":
|
957 |
-
"rewards/margins": 0.
|
958 |
-
"rewards/rejected":
|
959 |
"step": 570
|
960 |
},
|
961 |
{
|
962 |
-
"epoch": 1.
|
963 |
-
"grad_norm":
|
964 |
-
"learning_rate":
|
965 |
-
"logits/chosen":
|
966 |
-
"logits/rejected":
|
967 |
-
"logps/chosen": -
|
968 |
-
"logps/rejected": -
|
969 |
-
"loss":
|
970 |
-
"rewards/accuracies": 0.
|
971 |
-
"rewards/chosen":
|
972 |
-
"rewards/margins": 0.
|
973 |
-
"rewards/rejected":
|
974 |
"step": 580
|
975 |
},
|
976 |
{
|
977 |
-
"epoch": 1.
|
978 |
-
"grad_norm":
|
979 |
-
"learning_rate":
|
980 |
-
"logits/chosen":
|
981 |
-
"logits/rejected":
|
982 |
-
"logps/chosen": -
|
983 |
-
"logps/rejected": -
|
984 |
-
"loss":
|
985 |
-
"rewards/accuracies": 0.
|
986 |
-
"rewards/chosen":
|
987 |
-
"rewards/margins": 0.
|
988 |
-
"rewards/rejected":
|
989 |
"step": 590
|
990 |
},
|
991 |
{
|
992 |
-
"epoch": 1.
|
993 |
-
"grad_norm":
|
994 |
-
"learning_rate":
|
995 |
-
"logits/chosen":
|
996 |
-
"logits/rejected":
|
997 |
-
"logps/chosen": -
|
998 |
-
"logps/rejected": -
|
999 |
-
"loss":
|
1000 |
-
"rewards/accuracies": 0.
|
1001 |
-
"rewards/chosen":
|
1002 |
-
"rewards/margins": 0.
|
1003 |
-
"rewards/rejected":
|
1004 |
"step": 600
|
1005 |
},
|
1006 |
{
|
1007 |
-
"epoch": 1.
|
1008 |
-
"eval_logits/chosen":
|
1009 |
-
"eval_logits/rejected":
|
1010 |
-
"eval_logps/chosen": -
|
1011 |
-
"eval_logps/rejected": -
|
1012 |
-
"eval_loss":
|
1013 |
-
"eval_rewards/accuracies": 0.
|
1014 |
-
"eval_rewards/chosen":
|
1015 |
-
"eval_rewards/margins": 0.
|
1016 |
-
"eval_rewards/rejected":
|
1017 |
-
"eval_runtime":
|
1018 |
-
"eval_samples_per_second":
|
1019 |
-
"eval_steps_per_second":
|
1020 |
"step": 600
|
1021 |
},
|
1022 |
{
|
1023 |
-
"epoch": 1.
|
1024 |
-
"grad_norm":
|
1025 |
-
"learning_rate":
|
1026 |
-
"logits/chosen":
|
1027 |
-
"logits/rejected":
|
1028 |
-
"logps/chosen": -
|
1029 |
-
"logps/rejected": -
|
1030 |
-
"loss":
|
1031 |
-
"rewards/accuracies": 0.
|
1032 |
-
"rewards/chosen":
|
1033 |
-
"rewards/margins": 0.
|
1034 |
-
"rewards/rejected":
|
1035 |
"step": 610
|
1036 |
},
|
1037 |
{
|
1038 |
-
"epoch": 1.
|
1039 |
-
"grad_norm":
|
1040 |
-
"learning_rate":
|
1041 |
-
"logits/chosen":
|
1042 |
-
"logits/rejected":
|
1043 |
-
"logps/chosen": -
|
1044 |
-
"logps/rejected": -
|
1045 |
-
"loss":
|
1046 |
-
"rewards/accuracies": 0.
|
1047 |
-
"rewards/chosen":
|
1048 |
-
"rewards/margins": 0.
|
1049 |
-
"rewards/rejected":
|
1050 |
"step": 620
|
1051 |
},
|
1052 |
{
|
1053 |
-
"epoch": 1.
|
1054 |
-
"grad_norm":
|
1055 |
-
"learning_rate":
|
1056 |
-
"logits/chosen":
|
1057 |
-
"logits/rejected":
|
1058 |
-
"logps/chosen": -
|
1059 |
-
"logps/rejected": -
|
1060 |
-
"loss":
|
1061 |
-
"rewards/accuracies": 0.
|
1062 |
-
"rewards/chosen":
|
1063 |
-
"rewards/margins": 0.
|
1064 |
-
"rewards/rejected":
|
1065 |
"step": 630
|
1066 |
},
|
1067 |
{
|
1068 |
-
"epoch": 1.
|
1069 |
-
"grad_norm":
|
1070 |
-
"learning_rate":
|
1071 |
-
"logits/chosen":
|
1072 |
-
"logits/rejected":
|
1073 |
-
"logps/chosen": -
|
1074 |
-
"logps/rejected": -
|
1075 |
-
"loss":
|
1076 |
-
"rewards/accuracies": 0.
|
1077 |
-
"rewards/chosen":
|
1078 |
-
"rewards/margins": 0.
|
1079 |
-
"rewards/rejected":
|
1080 |
"step": 640
|
1081 |
},
|
1082 |
{
|
1083 |
-
"epoch": 1.
|
1084 |
-
"grad_norm":
|
1085 |
-
"learning_rate":
|
1086 |
-
"logits/chosen":
|
1087 |
-
"logits/rejected":
|
1088 |
-
"logps/chosen": -
|
1089 |
-
"logps/rejected": -
|
1090 |
-
"loss":
|
1091 |
"rewards/accuracies": 0.6187499761581421,
|
1092 |
-
"rewards/chosen":
|
1093 |
-
"rewards/margins": 0.
|
1094 |
-
"rewards/rejected":
|
1095 |
"step": 650
|
1096 |
},
|
1097 |
{
|
1098 |
-
"epoch": 1.
|
1099 |
-
"grad_norm":
|
1100 |
-
"learning_rate":
|
1101 |
-
"logits/chosen":
|
1102 |
-
"logits/rejected":
|
1103 |
-
"logps/chosen": -
|
1104 |
-
"logps/rejected": -
|
1105 |
-
"loss":
|
1106 |
-
"rewards/accuracies": 0.
|
1107 |
-
"rewards/chosen":
|
1108 |
-
"rewards/margins": 0.
|
1109 |
-
"rewards/rejected":
|
1110 |
"step": 660
|
1111 |
},
|
1112 |
{
|
1113 |
-
"epoch": 1.
|
1114 |
-
"
|
1115 |
-
"learning_rate": 2.4406716339200743e-08,
|
1116 |
-
"logits/chosen": 373.3739013671875,
|
1117 |
-
"logits/rejected": 362.2355041503906,
|
1118 |
-
"logps/chosen": -303.25,
|
1119 |
-
"logps/rejected": -325.88995361328125,
|
1120 |
-
"loss": 0.6358,
|
1121 |
-
"rewards/accuracies": 0.643750011920929,
|
1122 |
-
"rewards/chosen": -0.233059361577034,
|
1123 |
-
"rewards/margins": 0.3218488097190857,
|
1124 |
-
"rewards/rejected": -0.5549081563949585,
|
1125 |
-
"step": 670
|
1126 |
-
},
|
1127 |
-
{
|
1128 |
-
"epoch": 1.7696811971372806,
|
1129 |
-
"grad_norm": 8.0625,
|
1130 |
-
"learning_rate": 1.974322736541509e-08,
|
1131 |
-
"logits/chosen": 396.20916748046875,
|
1132 |
-
"logits/rejected": 368.4210510253906,
|
1133 |
-
"logps/chosen": -294.27386474609375,
|
1134 |
-
"logps/rejected": -334.74005126953125,
|
1135 |
-
"loss": 0.6414,
|
1136 |
-
"rewards/accuracies": 0.637499988079071,
|
1137 |
-
"rewards/chosen": -0.34432071447372437,
|
1138 |
-
"rewards/margins": 0.23387746512889862,
|
1139 |
-
"rewards/rejected": -0.5781981945037842,
|
1140 |
-
"step": 680
|
1141 |
-
},
|
1142 |
-
{
|
1143 |
-
"epoch": 1.7957059206245933,
|
1144 |
-
"grad_norm": 9.0,
|
1145 |
-
"learning_rate": 1.5555600642715437e-08,
|
1146 |
-
"logits/chosen": 397.7704162597656,
|
1147 |
-
"logits/rejected": 368.53717041015625,
|
1148 |
-
"logps/chosen": -307.35321044921875,
|
1149 |
-
"logps/rejected": -370.9716796875,
|
1150 |
-
"loss": 0.6298,
|
1151 |
-
"rewards/accuracies": 0.59375,
|
1152 |
-
"rewards/chosen": -0.25926095247268677,
|
1153 |
-
"rewards/margins": 0.26611703634262085,
|
1154 |
-
"rewards/rejected": -0.5253779888153076,
|
1155 |
-
"step": 690
|
1156 |
-
},
|
1157 |
-
{
|
1158 |
-
"epoch": 1.8217306441119063,
|
1159 |
-
"grad_norm": 9.5625,
|
1160 |
-
"learning_rate": 1.1852490567913653e-08,
|
1161 |
-
"logits/chosen": 377.498291015625,
|
1162 |
-
"logits/rejected": 364.7190856933594,
|
1163 |
-
"logps/chosen": -297.59246826171875,
|
1164 |
-
"logps/rejected": -319.68499755859375,
|
1165 |
-
"loss": 0.6368,
|
1166 |
-
"rewards/accuracies": 0.6875,
|
1167 |
-
"rewards/chosen": -0.3016144633293152,
|
1168 |
-
"rewards/margins": 0.32235556840896606,
|
1169 |
-
"rewards/rejected": -0.6239700317382812,
|
1170 |
-
"step": 700
|
1171 |
-
},
|
1172 |
-
{
|
1173 |
-
"epoch": 1.8217306441119063,
|
1174 |
-
"eval_logits/chosen": 452.6395263671875,
|
1175 |
-
"eval_logits/rejected": 436.0116882324219,
|
1176 |
-
"eval_logps/chosen": -295.8665466308594,
|
1177 |
-
"eval_logps/rejected": -334.6864013671875,
|
1178 |
-
"eval_loss": 0.6448772549629211,
|
1179 |
-
"eval_rewards/accuracies": 0.6065088510513306,
|
1180 |
-
"eval_rewards/chosen": -0.3403345048427582,
|
1181 |
-
"eval_rewards/margins": 0.24506251513957977,
|
1182 |
-
"eval_rewards/rejected": -0.5853970646858215,
|
1183 |
-
"eval_runtime": 244.6363,
|
1184 |
-
"eval_samples_per_second": 22.098,
|
1185 |
-
"eval_steps_per_second": 0.691,
|
1186 |
-
"step": 700
|
1187 |
-
},
|
1188 |
-
{
|
1189 |
-
"epoch": 1.8477553675992193,
|
1190 |
-
"grad_norm": 11.625,
|
1191 |
-
"learning_rate": 8.641550207089038e-09,
|
1192 |
-
"logits/chosen": 388.95428466796875,
|
1193 |
-
"logits/rejected": 358.6634826660156,
|
1194 |
-
"logps/chosen": -323.3162841796875,
|
1195 |
-
"logps/rejected": -371.1590270996094,
|
1196 |
-
"loss": 0.6193,
|
1197 |
-
"rewards/accuracies": 0.6625000238418579,
|
1198 |
-
"rewards/chosen": -0.3497847318649292,
|
1199 |
-
"rewards/margins": 0.32699352502822876,
|
1200 |
-
"rewards/rejected": -0.676778256893158,
|
1201 |
-
"step": 710
|
1202 |
-
},
|
1203 |
-
{
|
1204 |
-
"epoch": 1.873780091086532,
|
1205 |
-
"grad_norm": 10.4375,
|
1206 |
-
"learning_rate": 5.929415479310279e-09,
|
1207 |
-
"logits/chosen": 371.3935241699219,
|
1208 |
-
"logits/rejected": 376.6529235839844,
|
1209 |
-
"logps/chosen": -321.6485290527344,
|
1210 |
-
"logps/rejected": -330.58721923828125,
|
1211 |
-
"loss": 0.6461,
|
1212 |
-
"rewards/accuracies": 0.53125,
|
1213 |
-
"rewards/chosen": -0.29033127427101135,
|
1214 |
-
"rewards/margins": 0.1948806494474411,
|
1215 |
-
"rewards/rejected": -0.48521193861961365,
|
1216 |
-
"step": 720
|
1217 |
-
},
|
1218 |
-
{
|
1219 |
-
"epoch": 1.8998048145738453,
|
1220 |
-
"grad_norm": 9.3125,
|
1221 |
-
"learning_rate": 3.721691442452768e-09,
|
1222 |
-
"logits/chosen": 370.8646240234375,
|
1223 |
-
"logits/rejected": 361.8319396972656,
|
1224 |
-
"logps/chosen": -303.0124816894531,
|
1225 |
-
"logps/rejected": -321.4366760253906,
|
1226 |
-
"loss": 0.6354,
|
1227 |
-
"rewards/accuracies": 0.606249988079071,
|
1228 |
-
"rewards/chosen": -0.2958618998527527,
|
1229 |
-
"rewards/margins": 0.2960815727710724,
|
1230 |
-
"rewards/rejected": -0.5919433832168579,
|
1231 |
-
"step": 730
|
1232 |
-
},
|
1233 |
-
{
|
1234 |
-
"epoch": 1.925829538061158,
|
1235 |
-
"grad_norm": 9.9375,
|
1236 |
-
"learning_rate": 2.0229407094547735e-09,
|
1237 |
-
"logits/chosen": 377.24005126953125,
|
1238 |
-
"logits/rejected": 357.33294677734375,
|
1239 |
-
"logps/chosen": -277.88214111328125,
|
1240 |
-
"logps/rejected": -321.13739013671875,
|
1241 |
-
"loss": 0.6277,
|
1242 |
-
"rewards/accuracies": 0.699999988079071,
|
1243 |
-
"rewards/chosen": -0.2274915874004364,
|
1244 |
-
"rewards/margins": 0.35707369446754456,
|
1245 |
-
"rewards/rejected": -0.584565281867981,
|
1246 |
-
"step": 740
|
1247 |
-
},
|
1248 |
-
{
|
1249 |
-
"epoch": 1.951854261548471,
|
1250 |
-
"grad_norm": 10.0625,
|
1251 |
-
"learning_rate": 8.366740189520715e-10,
|
1252 |
-
"logits/chosen": 353.9988098144531,
|
1253 |
-
"logits/rejected": 346.21380615234375,
|
1254 |
-
"logps/chosen": -301.86627197265625,
|
1255 |
-
"logps/rejected": -304.49468994140625,
|
1256 |
-
"loss": 0.6407,
|
1257 |
-
"rewards/accuracies": 0.625,
|
1258 |
-
"rewards/chosen": -0.36653071641921997,
|
1259 |
-
"rewards/margins": 0.22654423117637634,
|
1260 |
-
"rewards/rejected": -0.5930749773979187,
|
1261 |
-
"step": 750
|
1262 |
-
},
|
1263 |
-
{
|
1264 |
-
"epoch": 1.977878985035784,
|
1265 |
-
"grad_norm": 9.375,
|
1266 |
-
"learning_rate": 1.6534297977804923e-10,
|
1267 |
-
"logits/chosen": 381.37811279296875,
|
1268 |
-
"logits/rejected": 356.3533020019531,
|
1269 |
-
"logps/chosen": -299.4158935546875,
|
1270 |
-
"logps/rejected": -340.39569091796875,
|
1271 |
-
"loss": 0.6361,
|
1272 |
-
"rewards/accuracies": 0.5874999761581421,
|
1273 |
-
"rewards/chosen": -0.2855472266674042,
|
1274 |
-
"rewards/margins": 0.29285091161727905,
|
1275 |
-
"rewards/rejected": -0.5783981084823608,
|
1276 |
-
"step": 760
|
1277 |
-
},
|
1278 |
-
{
|
1279 |
-
"epoch": 1.9986987638256344,
|
1280 |
-
"step": 768,
|
1281 |
"total_flos": 0.0,
|
1282 |
-
"train_loss":
|
1283 |
-
"train_runtime":
|
1284 |
-
"train_samples_per_second":
|
1285 |
-
"train_steps_per_second": 0.
|
1286 |
}
|
1287 |
],
|
1288 |
"logging_steps": 10,
|
1289 |
-
"max_steps":
|
1290 |
"num_input_tokens_seen": 0,
|
1291 |
"num_train_epochs": 2,
|
1292 |
"save_steps": 500,
|
|
|
1 |
{
|
2 |
"best_metric": null,
|
3 |
"best_model_checkpoint": null,
|
4 |
+
"epoch": 1.9969834087481146,
|
5 |
"eval_steps": 100,
|
6 |
+
"global_step": 662,
|
7 |
"is_hyper_param_search": false,
|
8 |
"is_local_process_zero": true,
|
9 |
"is_world_process_zero": true,
|
10 |
"log_history": [
|
11 |
{
|
12 |
+
"epoch": 0.0030165912518853697,
|
13 |
+
"grad_norm": 237.0,
|
14 |
+
"learning_rate": 7.462686567164179e-09,
|
15 |
+
"logits/chosen": 373.7113952636719,
|
16 |
+
"logits/rejected": 314.0401306152344,
|
17 |
+
"logps/chosen": -3.7142391204833984,
|
18 |
+
"logps/rejected": -3.6281590461730957,
|
19 |
+
"loss": 100.0,
|
20 |
"rewards/accuracies": 0.0,
|
21 |
"rewards/chosen": 0.0,
|
22 |
"rewards/margins": 0.0,
|
|
|
24 |
"step": 1
|
25 |
},
|
26 |
{
|
27 |
+
"epoch": 0.030165912518853696,
|
28 |
+
"grad_norm": 113.5,
|
29 |
+
"learning_rate": 7.462686567164178e-08,
|
30 |
+
"logits/chosen": 357.4179992675781,
|
31 |
+
"logits/rejected": 339.513916015625,
|
32 |
+
"logps/chosen": -3.1980221271514893,
|
33 |
+
"logps/rejected": -3.2019872665405273,
|
34 |
+
"loss": 99.9521,
|
35 |
+
"rewards/accuracies": 0.5069444179534912,
|
36 |
+
"rewards/chosen": 0.0002816318301483989,
|
37 |
+
"rewards/margins": 0.000606835528742522,
|
38 |
+
"rewards/rejected": -0.00032520375680178404,
|
39 |
"step": 10
|
40 |
},
|
41 |
{
|
42 |
+
"epoch": 0.06033182503770739,
|
43 |
+
"grad_norm": 142.0,
|
44 |
+
"learning_rate": 1.4925373134328355e-07,
|
45 |
+
"logits/chosen": 375.2931823730469,
|
46 |
+
"logits/rejected": 341.9668273925781,
|
47 |
+
"logps/chosen": -3.4338252544403076,
|
48 |
+
"logps/rejected": -3.202441453933716,
|
49 |
+
"loss": 100.1094,
|
50 |
+
"rewards/accuracies": 0.46875,
|
51 |
+
"rewards/chosen": -0.0006929364753887057,
|
52 |
+
"rewards/margins": -0.0008935144869610667,
|
53 |
+
"rewards/rejected": 0.00020057809888385236,
|
54 |
"step": 20
|
55 |
},
|
56 |
{
|
57 |
+
"epoch": 0.09049773755656108,
|
58 |
+
"grad_norm": 105.5,
|
59 |
+
"learning_rate": 2.2388059701492537e-07,
|
60 |
+
"logits/chosen": 367.0047302246094,
|
61 |
+
"logits/rejected": 345.61358642578125,
|
62 |
+
"logps/chosen": -3.1884350776672363,
|
63 |
+
"logps/rejected": -3.089536666870117,
|
64 |
+
"loss": 99.8614,
|
65 |
+
"rewards/accuracies": 0.550000011920929,
|
66 |
+
"rewards/chosen": 0.0009225490503013134,
|
67 |
+
"rewards/margins": 0.0005482577835209668,
|
68 |
+
"rewards/rejected": 0.0003742911503650248,
|
69 |
"step": 30
|
70 |
},
|
71 |
{
|
72 |
+
"epoch": 0.12066365007541478,
|
73 |
+
"grad_norm": 212.0,
|
74 |
+
"learning_rate": 2.985074626865671e-07,
|
75 |
+
"logits/chosen": 375.55523681640625,
|
76 |
+
"logits/rejected": 343.5054931640625,
|
77 |
+
"logps/chosen": -3.3171133995056152,
|
78 |
+
"logps/rejected": -3.01216459274292,
|
79 |
+
"loss": 99.8979,
|
80 |
+
"rewards/accuracies": 0.53125,
|
81 |
+
"rewards/chosen": 0.0019296016544103622,
|
82 |
+
"rewards/margins": 0.00038303257315419614,
|
83 |
+
"rewards/rejected": 0.0015465689357370138,
|
84 |
"step": 40
|
85 |
},
|
86 |
{
|
87 |
+
"epoch": 0.15082956259426847,
|
88 |
+
"grad_norm": 171.0,
|
89 |
+
"learning_rate": 3.7313432835820895e-07,
|
90 |
+
"logits/chosen": 362.37359619140625,
|
91 |
+
"logits/rejected": 326.4159240722656,
|
92 |
+
"logps/chosen": -3.03434681892395,
|
93 |
+
"logps/rejected": -3.188572645187378,
|
94 |
+
"loss": 99.8304,
|
95 |
+
"rewards/accuracies": 0.5,
|
96 |
+
"rewards/chosen": 0.004757150541990995,
|
97 |
+
"rewards/margins": -0.00031133147422224283,
|
98 |
+
"rewards/rejected": 0.005068481899797916,
|
99 |
"step": 50
|
100 |
},
|
101 |
{
|
102 |
+
"epoch": 0.18099547511312217,
|
103 |
+
"grad_norm": 92.0,
|
104 |
+
"learning_rate": 4.4776119402985074e-07,
|
105 |
+
"logits/chosen": 352.8628845214844,
|
106 |
+
"logits/rejected": 327.94586181640625,
|
107 |
+
"logps/chosen": -2.9519481658935547,
|
108 |
+
"logps/rejected": -3.0041961669921875,
|
109 |
+
"loss": 99.6399,
|
110 |
+
"rewards/accuracies": 0.5562499761581421,
|
111 |
+
"rewards/chosen": 0.009530991315841675,
|
112 |
+
"rewards/margins": 0.001031916355714202,
|
113 |
+
"rewards/rejected": 0.008499075658619404,
|
114 |
"step": 60
|
115 |
},
|
116 |
{
|
117 |
+
"epoch": 0.21116138763197587,
|
118 |
+
"grad_norm": 103.0,
|
119 |
+
"learning_rate": 4.999686376024363e-07,
|
120 |
+
"logits/chosen": 357.00048828125,
|
121 |
+
"logits/rejected": 333.3026123046875,
|
122 |
+
"logps/chosen": -2.858609676361084,
|
123 |
+
"logps/rejected": -2.8480465412139893,
|
124 |
+
"loss": 99.3579,
|
125 |
+
"rewards/accuracies": 0.53125,
|
126 |
+
"rewards/chosen": 0.01719777286052704,
|
127 |
+
"rewards/margins": 0.0022748487535864115,
|
128 |
+
"rewards/rejected": 0.01492292433977127,
|
129 |
"step": 70
|
130 |
},
|
131 |
{
|
132 |
+
"epoch": 0.24132730015082957,
|
133 |
+
"grad_norm": 106.5,
|
134 |
+
"learning_rate": 4.994113027425108e-07,
|
135 |
+
"logits/chosen": 379.38946533203125,
|
136 |
+
"logits/rejected": 339.73944091796875,
|
137 |
+
"logps/chosen": -2.7288854122161865,
|
138 |
+
"logps/rejected": -2.6808323860168457,
|
139 |
+
"loss": 98.8914,
|
140 |
+
"rewards/accuracies": 0.543749988079071,
|
141 |
+
"rewards/chosen": 0.025090601295232773,
|
142 |
+
"rewards/margins": 0.005764222703874111,
|
143 |
+
"rewards/rejected": 0.019326379522681236,
|
144 |
"step": 80
|
145 |
},
|
146 |
{
|
147 |
+
"epoch": 0.27149321266968324,
|
148 |
+
"grad_norm": 112.0,
|
149 |
+
"learning_rate": 4.981588138481958e-07,
|
150 |
+
"logits/chosen": 376.42950439453125,
|
151 |
+
"logits/rejected": 345.72589111328125,
|
152 |
+
"logps/chosen": -2.639547824859619,
|
153 |
+
"logps/rejected": -2.540241241455078,
|
154 |
+
"loss": 98.8622,
|
155 |
+
"rewards/accuracies": 0.606249988079071,
|
156 |
+
"rewards/chosen": 0.03617015480995178,
|
157 |
+
"rewards/margins": 0.011906561441719532,
|
158 |
+
"rewards/rejected": 0.024263592436909676,
|
159 |
"step": 90
|
160 |
},
|
161 |
{
|
162 |
+
"epoch": 0.30165912518853694,
|
163 |
+
"grad_norm": 109.0,
|
164 |
+
"learning_rate": 4.962146618306821e-07,
|
165 |
+
"logits/chosen": 381.8599853515625,
|
166 |
+
"logits/rejected": 347.7571716308594,
|
167 |
+
"logps/chosen": -2.4746594429016113,
|
168 |
+
"logps/rejected": -2.393070697784424,
|
169 |
+
"loss": 99.2543,
|
170 |
+
"rewards/accuracies": 0.612500011920929,
|
171 |
+
"rewards/chosen": 0.04532874748110771,
|
172 |
+
"rewards/margins": 0.010249687358736992,
|
173 |
+
"rewards/rejected": 0.03507906198501587,
|
174 |
"step": 100
|
175 |
},
|
176 |
{
|
177 |
+
"epoch": 0.30165912518853694,
|
178 |
+
"eval_logits/chosen": 418.0560302734375,
|
179 |
+
"eval_logits/rejected": 390.85260009765625,
|
180 |
+
"eval_logps/chosen": -2.36246657371521,
|
181 |
+
"eval_logps/rejected": -2.362391233444214,
|
182 |
+
"eval_loss": 98.51091003417969,
|
183 |
+
"eval_rewards/accuracies": 0.5821917653083801,
|
184 |
+
"eval_rewards/chosen": 0.040737785398960114,
|
185 |
+
"eval_rewards/margins": 0.005313507281243801,
|
186 |
+
"eval_rewards/rejected": 0.03542427718639374,
|
187 |
+
"eval_runtime": 99.1497,
|
188 |
+
"eval_samples_per_second": 46.959,
|
189 |
+
"eval_steps_per_second": 1.473,
|
190 |
"step": 100
|
191 |
},
|
192 |
{
|
193 |
+
"epoch": 0.33182503770739064,
|
194 |
+
"grad_norm": 94.5,
|
195 |
+
"learning_rate": 4.935842653903397e-07,
|
196 |
+
"logits/chosen": 363.9966735839844,
|
197 |
+
"logits/rejected": 347.78033447265625,
|
198 |
+
"logps/chosen": -2.4134836196899414,
|
199 |
+
"logps/rejected": -2.3732988834381104,
|
200 |
+
"loss": 98.8696,
|
201 |
+
"rewards/accuracies": 0.550000011920929,
|
202 |
+
"rewards/chosen": 0.04237458482384682,
|
203 |
+
"rewards/margins": 0.005867284722626209,
|
204 |
+
"rewards/rejected": 0.03650730103254318,
|
205 |
"step": 110
|
206 |
},
|
207 |
{
|
208 |
+
"epoch": 0.36199095022624433,
|
209 |
+
"grad_norm": 109.0,
|
210 |
+
"learning_rate": 4.902749559138277e-07,
|
211 |
+
"logits/chosen": 381.50604248046875,
|
212 |
+
"logits/rejected": 344.4244384765625,
|
213 |
+
"logps/chosen": -2.260192394256592,
|
214 |
+
"logps/rejected": -2.3423144817352295,
|
215 |
+
"loss": 99.2348,
|
216 |
+
"rewards/accuracies": 0.5874999761581421,
|
217 |
+
"rewards/chosen": 0.042268361896276474,
|
218 |
+
"rewards/margins": 0.004213915206491947,
|
219 |
+
"rewards/rejected": 0.0380544476211071,
|
220 |
"step": 120
|
221 |
},
|
222 |
{
|
223 |
+
"epoch": 0.39215686274509803,
|
224 |
+
"grad_norm": 111.5,
|
225 |
+
"learning_rate": 4.862959570402049e-07,
|
226 |
+
"logits/chosen": 355.4747314453125,
|
227 |
+
"logits/rejected": 347.9737854003906,
|
228 |
+
"logps/chosen": -2.242130756378174,
|
229 |
+
"logps/rejected": -2.236783981323242,
|
230 |
+
"loss": 99.0442,
|
231 |
+
"rewards/accuracies": 0.4749999940395355,
|
232 |
+
"rewards/chosen": 0.03943895921111107,
|
233 |
+
"rewards/margins": 0.00034976023016497493,
|
234 |
+
"rewards/rejected": 0.039089202880859375,
|
235 |
"step": 130
|
236 |
},
|
237 |
{
|
238 |
+
"epoch": 0.42232277526395173,
|
239 |
+
"grad_norm": 100.5,
|
240 |
+
"learning_rate": 4.816583589529929e-07,
|
241 |
+
"logits/chosen": 377.9671630859375,
|
242 |
+
"logits/rejected": 330.95989990234375,
|
243 |
+
"logps/chosen": -2.2830498218536377,
|
244 |
+
"logps/rejected": -2.2647957801818848,
|
245 |
+
"loss": 98.1403,
|
246 |
+
"rewards/accuracies": 0.625,
|
247 |
+
"rewards/chosen": 0.055894386023283005,
|
248 |
+
"rewards/margins": 0.010847574099898338,
|
249 |
+
"rewards/rejected": 0.045046813786029816,
|
250 |
"step": 140
|
251 |
},
|
252 |
{
|
253 |
+
"epoch": 0.45248868778280543,
|
254 |
+
"grad_norm": 93.0,
|
255 |
+
"learning_rate": 4.7637508746984616e-07,
|
256 |
+
"logits/chosen": 348.13671875,
|
257 |
+
"logits/rejected": 340.65460205078125,
|
258 |
+
"logps/chosen": -2.119765281677246,
|
259 |
+
"logps/rejected": -2.2865583896636963,
|
260 |
+
"loss": 98.2056,
|
261 |
+
"rewards/accuracies": 0.512499988079071,
|
262 |
+
"rewards/chosen": 0.05023769661784172,
|
263 |
+
"rewards/margins": 0.0025197002105414867,
|
264 |
+
"rewards/rejected": 0.04771799594163895,
|
265 |
"step": 150
|
266 |
},
|
267 |
{
|
268 |
+
"epoch": 0.48265460030165913,
|
269 |
+
"grad_norm": 94.5,
|
270 |
+
"learning_rate": 4.7046086801597966e-07,
|
271 |
+
"logits/chosen": 354.6838684082031,
|
272 |
+
"logits/rejected": 344.14971923828125,
|
273 |
+
"logps/chosen": -2.1116466522216797,
|
274 |
+
"logps/rejected": -2.1644375324249268,
|
275 |
+
"loss": 98.8372,
|
276 |
+
"rewards/accuracies": 0.48124998807907104,
|
277 |
+
"rewards/chosen": 0.047597456723451614,
|
278 |
+
"rewards/margins": -0.0014352608704939485,
|
279 |
+
"rewards/rejected": 0.04903271794319153,
|
280 |
"step": 160
|
281 |
},
|
282 |
{
|
283 |
+
"epoch": 0.5128205128205128,
|
284 |
+
"grad_norm": 84.0,
|
285 |
+
"learning_rate": 4.639321845817675e-07,
|
286 |
+
"logits/chosen": 367.41046142578125,
|
287 |
+
"logits/rejected": 350.5602111816406,
|
288 |
+
"logps/chosen": -2.1424355506896973,
|
289 |
+
"logps/rejected": -2.1355576515197754,
|
290 |
+
"loss": 99.3001,
|
291 |
+
"rewards/accuracies": 0.518750011920929,
|
292 |
+
"rewards/chosen": 0.048554591834545135,
|
293 |
+
"rewards/margins": 0.00010763984028017148,
|
294 |
+
"rewards/rejected": 0.048446957021951675,
|
295 |
"step": 170
|
296 |
},
|
297 |
{
|
298 |
+
"epoch": 0.5429864253393665,
|
299 |
+
"grad_norm": 103.5,
|
300 |
+
"learning_rate": 4.568072337789056e-07,
|
301 |
+
"logits/chosen": 355.62255859375,
|
302 |
+
"logits/rejected": 353.52374267578125,
|
303 |
+
"logps/chosen": -2.1198911666870117,
|
304 |
+
"logps/rejected": -2.168549060821533,
|
305 |
+
"loss": 99.3479,
|
306 |
+
"rewards/accuracies": 0.4937500059604645,
|
307 |
+
"rewards/chosen": 0.05148975923657417,
|
308 |
+
"rewards/margins": 0.001858557341620326,
|
309 |
+
"rewards/rejected": 0.04963120073080063,
|
310 |
"step": 180
|
311 |
},
|
312 |
{
|
313 |
+
"epoch": 0.5731523378582202,
|
314 |
+
"grad_norm": 120.0,
|
315 |
+
"learning_rate": 4.4910587412319077e-07,
|
316 |
+
"logits/chosen": 360.10418701171875,
|
317 |
+
"logits/rejected": 338.6171875,
|
318 |
+
"logps/chosen": -2.1945066452026367,
|
319 |
+
"logps/rejected": -2.278280735015869,
|
320 |
+
"loss": 98.6843,
|
321 |
"rewards/accuracies": 0.574999988079071,
|
322 |
+
"rewards/chosen": 0.050669699907302856,
|
323 |
+
"rewards/margins": 0.004689137917011976,
|
324 |
+
"rewards/rejected": 0.04598056524991989,
|
325 |
"step": 190
|
326 |
},
|
327 |
{
|
328 |
+
"epoch": 0.6033182503770739,
|
329 |
+
"grad_norm": 150.0,
|
330 |
+
"learning_rate": 4.408495706852757e-07,
|
331 |
+
"logits/chosen": 367.1837158203125,
|
332 |
+
"logits/rejected": 335.16845703125,
|
333 |
+
"logps/chosen": -2.285163402557373,
|
334 |
+
"logps/rejected": -2.4447309970855713,
|
335 |
+
"loss": 98.8709,
|
336 |
"rewards/accuracies": 0.574999988079071,
|
337 |
+
"rewards/chosen": 0.04992702230811119,
|
338 |
+
"rewards/margins": 0.005152065306901932,
|
339 |
+
"rewards/rejected": 0.04477496072649956,
|
340 |
"step": 200
|
341 |
},
|
342 |
{
|
343 |
+
"epoch": 0.6033182503770739,
|
344 |
+
"eval_logits/chosen": 415.9554748535156,
|
345 |
+
"eval_logits/rejected": 388.3780822753906,
|
346 |
+
"eval_logps/chosen": -2.315298318862915,
|
347 |
+
"eval_logps/rejected": -2.3358802795410156,
|
348 |
+
"eval_loss": 98.0234603881836,
|
349 |
+
"eval_rewards/accuracies": 0.5787671208381653,
|
350 |
+
"eval_rewards/chosen": 0.04309620335698128,
|
351 |
+
"eval_rewards/margins": 0.006346376612782478,
|
352 |
+
"eval_rewards/rejected": 0.03674982488155365,
|
353 |
+
"eval_runtime": 96.1345,
|
354 |
+
"eval_samples_per_second": 48.432,
|
355 |
+
"eval_steps_per_second": 1.519,
|
356 |
"step": 200
|
357 |
},
|
358 |
{
|
359 |
+
"epoch": 0.6334841628959276,
|
360 |
+
"grad_norm": 162.0,
|
361 |
+
"learning_rate": 4.3206133526366716e-07,
|
362 |
+
"logits/chosen": 381.5917053222656,
|
363 |
+
"logits/rejected": 350.63568115234375,
|
364 |
+
"logps/chosen": -2.362278699874878,
|
365 |
+
"logps/rejected": -2.354440927505493,
|
366 |
+
"loss": 97.5361,
|
367 |
"rewards/accuracies": 0.550000011920929,
|
368 |
+
"rewards/chosen": 0.04696507379412651,
|
369 |
+
"rewards/margins": 0.01031709648668766,
|
370 |
+
"rewards/rejected": 0.0366479754447937,
|
371 |
"step": 210
|
372 |
},
|
373 |
{
|
374 |
+
"epoch": 0.6636500754147813,
|
375 |
+
"grad_norm": 88.0,
|
376 |
+
"learning_rate": 4.227656622467162e-07,
|
377 |
+
"logits/chosen": 363.15777587890625,
|
378 |
+
"logits/rejected": 331.46624755859375,
|
379 |
+
"logps/chosen": -2.2479934692382812,
|
380 |
+
"logps/rejected": -2.419908046722412,
|
381 |
+
"loss": 98.4741,
|
382 |
+
"rewards/accuracies": 0.606249988079071,
|
383 |
+
"rewards/chosen": 0.04176827520132065,
|
384 |
+
"rewards/margins": 0.0058479527942836285,
|
385 |
+
"rewards/rejected": 0.03592032194137573,
|
386 |
"step": 220
|
387 |
},
|
388 |
{
|
389 |
+
"epoch": 0.693815987933635,
|
390 |
+
"grad_norm": 114.0,
|
391 |
+
"learning_rate": 4.129884603423642e-07,
|
392 |
+
"logits/chosen": 359.25927734375,
|
393 |
+
"logits/rejected": 348.3480529785156,
|
394 |
+
"logps/chosen": -2.296457529067993,
|
395 |
+
"logps/rejected": -2.342721462249756,
|
396 |
+
"loss": 98.0148,
|
397 |
+
"rewards/accuracies": 0.5562499761581421,
|
398 |
+
"rewards/chosen": 0.04244069382548332,
|
399 |
+
"rewards/margins": 0.0055845663882792,
|
400 |
+
"rewards/rejected": 0.03685613349080086,
|
401 |
"step": 230
|
402 |
},
|
403 |
{
|
404 |
+
"epoch": 0.7239819004524887,
|
405 |
+
"grad_norm": 166.0,
|
406 |
+
"learning_rate": 4.0275698036592786e-07,
|
407 |
+
"logits/chosen": 349.7359619140625,
|
408 |
+
"logits/rejected": 340.6862487792969,
|
409 |
+
"logps/chosen": -2.2498726844787598,
|
410 |
+
"logps/rejected": -2.308311939239502,
|
411 |
+
"loss": 98.0968,
|
412 |
+
"rewards/accuracies": 0.5062500238418579,
|
413 |
+
"rewards/chosen": 0.0436752513051033,
|
414 |
+
"rewards/margins": 0.0003684187831822783,
|
415 |
+
"rewards/rejected": 0.04330682009458542,
|
416 |
"step": 240
|
417 |
},
|
418 |
{
|
419 |
+
"epoch": 0.7541478129713424,
|
420 |
+
"grad_norm": 115.5,
|
421 |
+
"learning_rate": 3.920997392871882e-07,
|
422 |
+
"logits/chosen": 366.28228759765625,
|
423 |
+
"logits/rejected": 329.5648193359375,
|
424 |
+
"logps/chosen": -2.187605619430542,
|
425 |
+
"logps/rejected": -2.240809679031372,
|
426 |
+
"loss": 98.3289,
|
427 |
+
"rewards/accuracies": 0.581250011920929,
|
428 |
+
"rewards/chosen": 0.05280689522624016,
|
429 |
+
"rewards/margins": 0.007444704882800579,
|
430 |
+
"rewards/rejected": 0.045362185686826706,
|
431 |
"step": 250
|
432 |
},
|
433 |
{
|
434 |
+
"epoch": 0.7843137254901961,
|
435 |
+
"grad_norm": 161.0,
|
436 |
+
"learning_rate": 3.8104644074848177e-07,
|
437 |
+
"logits/chosen": 367.5448303222656,
|
438 |
+
"logits/rejected": 359.0502014160156,
|
439 |
+
"logps/chosen": -2.094212293624878,
|
440 |
+
"logps/rejected": -2.2239794731140137,
|
441 |
+
"loss": 97.8614,
|
442 |
+
"rewards/accuracies": 0.53125,
|
443 |
+
"rewards/chosen": 0.058206796646118164,
|
444 |
+
"rewards/margins": 0.00784910749644041,
|
445 |
+
"rewards/rejected": 0.05035768076777458,
|
446 |
"step": 260
|
447 |
},
|
448 |
{
|
449 |
+
"epoch": 0.8144796380090498,
|
450 |
+
"grad_norm": 132.0,
|
451 |
+
"learning_rate": 3.696278922753216e-07,
|
452 |
+
"logits/chosen": 354.0914611816406,
|
453 |
+
"logits/rejected": 350.6158447265625,
|
454 |
+
"logps/chosen": -2.169219493865967,
|
455 |
+
"logps/rejected": -2.2195897102355957,
|
456 |
+
"loss": 98.4471,
|
457 |
+
"rewards/accuracies": 0.5062500238418579,
|
458 |
+
"rewards/chosen": 0.046092383563518524,
|
459 |
+
"rewards/margins": -0.0004284932219889015,
|
460 |
+
"rewards/rejected": 0.04652087762951851,
|
461 |
"step": 270
|
462 |
},
|
463 |
{
|
464 |
+
"epoch": 0.8446455505279035,
|
465 |
+
"grad_norm": 113.5,
|
466 |
+
"learning_rate": 3.5787591941029836e-07,
|
467 |
+
"logits/chosen": 353.6844482421875,
|
468 |
+
"logits/rejected": 332.7743835449219,
|
469 |
+
"logps/chosen": -2.208927869796753,
|
470 |
+
"logps/rejected": -2.241152286529541,
|
471 |
+
"loss": 98.0145,
|
472 |
+
"rewards/accuracies": 0.5625,
|
473 |
+
"rewards/chosen": 0.04912891611456871,
|
474 |
+
"rewards/margins": 0.007012406829744577,
|
475 |
+
"rewards/rejected": 0.04211651161313057,
|
476 |
"step": 280
|
477 |
},
|
478 |
{
|
479 |
+
"epoch": 0.8748114630467572,
|
480 |
+
"grad_norm": 99.0,
|
481 |
+
"learning_rate": 3.4582327700958453e-07,
|
482 |
+
"logits/chosen": 358.00921630859375,
|
483 |
+
"logits/rejected": 338.9405822753906,
|
484 |
+
"logps/chosen": -2.2120420932769775,
|
485 |
+
"logps/rejected": -2.275679111480713,
|
486 |
+
"loss": 98.1666,
|
487 |
+
"rewards/accuracies": 0.5625,
|
488 |
+
"rewards/chosen": 0.048364873975515366,
|
489 |
+
"rewards/margins": 0.007225348148494959,
|
490 |
+
"rewards/rejected": 0.041139524430036545,
|
491 |
"step": 290
|
492 |
},
|
493 |
{
|
494 |
+
"epoch": 0.9049773755656109,
|
495 |
+
"grad_norm": 177.0,
|
496 |
+
"learning_rate": 3.3350355794927597e-07,
|
497 |
+
"logits/chosen": 355.8531494140625,
|
498 |
+
"logits/rejected": 348.1767578125,
|
499 |
+
"logps/chosen": -2.248812198638916,
|
500 |
+
"logps/rejected": -2.373812198638916,
|
501 |
+
"loss": 97.9389,
|
502 |
+
"rewards/accuracies": 0.5625,
|
503 |
+
"rewards/chosen": 0.04782190918922424,
|
504 |
+
"rewards/margins": 0.0014587871264666319,
|
505 |
+
"rewards/rejected": 0.04636312276124954,
|
506 |
"step": 300
|
507 |
},
|
508 |
{
|
509 |
+
"epoch": 0.9049773755656109,
|
510 |
+
"eval_logits/chosen": 414.2632751464844,
|
511 |
+
"eval_logits/rejected": 386.40850830078125,
|
512 |
+
"eval_logps/chosen": -2.2581100463867188,
|
513 |
+
"eval_logps/rejected": -2.3082242012023926,
|
514 |
+
"eval_loss": 97.61585998535156,
|
515 |
+
"eval_rewards/accuracies": 0.5958904027938843,
|
516 |
+
"eval_rewards/chosen": 0.0459556020796299,
|
517 |
+
"eval_rewards/margins": 0.007822984829545021,
|
518 |
+
"eval_rewards/rejected": 0.038132619112730026,
|
519 |
+
"eval_runtime": 96.7019,
|
520 |
+
"eval_samples_per_second": 48.148,
|
521 |
+
"eval_steps_per_second": 1.51,
|
522 |
"step": 300
|
523 |
},
|
524 |
{
|
525 |
+
"epoch": 0.9351432880844646,
|
526 |
+
"grad_norm": 175.0,
|
527 |
+
"learning_rate": 3.209510994960208e-07,
|
528 |
+
"logits/chosen": 356.83721923828125,
|
529 |
+
"logits/rejected": 340.94195556640625,
|
530 |
+
"logps/chosen": -2.3349146842956543,
|
531 |
+
"logps/rejected": -2.351058006286621,
|
532 |
+
"loss": 97.2842,
|
533 |
+
"rewards/accuracies": 0.518750011920929,
|
534 |
+
"rewards/chosen": 0.04642525687813759,
|
535 |
+
"rewards/margins": 0.008910289034247398,
|
536 |
+
"rewards/rejected": 0.03751496225595474,
|
537 |
"step": 310
|
538 |
},
|
539 |
{
|
540 |
+
"epoch": 0.9653092006033183,
|
541 |
+
"grad_norm": 159.0,
|
542 |
+
"learning_rate": 3.082008876028986e-07,
|
543 |
+
"logits/chosen": 363.7893981933594,
|
544 |
+
"logits/rejected": 325.7989501953125,
|
545 |
+
"logps/chosen": -2.269832134246826,
|
546 |
+
"logps/rejected": -2.3510982990264893,
|
547 |
+
"loss": 97.3576,
|
548 |
"rewards/accuracies": 0.606249988079071,
|
549 |
+
"rewards/chosen": 0.04809769243001938,
|
550 |
+
"rewards/margins": 0.013297428376972675,
|
551 |
+
"rewards/rejected": 0.03480026498436928,
|
552 |
"step": 320
|
553 |
},
|
554 |
{
|
555 |
+
"epoch": 0.995475113122172,
|
556 |
+
"grad_norm": 191.0,
|
557 |
+
"learning_rate": 2.952884593972944e-07,
|
558 |
+
"logits/chosen": 365.5209045410156,
|
559 |
+
"logits/rejected": 338.1622009277344,
|
560 |
+
"logps/chosen": -2.251650094985962,
|
561 |
+
"logps/rejected": -2.3790125846862793,
|
562 |
+
"loss": 97.8277,
|
563 |
+
"rewards/accuracies": 0.581250011920929,
|
564 |
+
"rewards/chosen": 0.053557444363832474,
|
565 |
+
"rewards/margins": 0.00977501180022955,
|
566 |
+
"rewards/rejected": 0.04378242418169975,
|
567 |
"step": 330
|
568 |
},
|
569 |
{
|
570 |
+
"epoch": 1.0256410256410255,
|
571 |
+
"grad_norm": 228.0,
|
572 |
+
"learning_rate": 2.822498041325508e-07,
|
573 |
+
"logits/chosen": 361.9426574707031,
|
574 |
+
"logits/rejected": 331.2440490722656,
|
575 |
+
"logps/chosen": -2.251028537750244,
|
576 |
+
"logps/rejected": -2.407641887664795,
|
577 |
+
"loss": 97.2834,
|
578 |
+
"rewards/accuracies": 0.612500011920929,
|
579 |
+
"rewards/chosen": 0.05633380264043808,
|
580 |
+
"rewards/margins": 0.014148990623652935,
|
581 |
+
"rewards/rejected": 0.04218481108546257,
|
582 |
"step": 340
|
583 |
},
|
584 |
{
|
585 |
+
"epoch": 1.0558069381598794,
|
586 |
+
"grad_norm": 113.0,
|
587 |
+
"learning_rate": 2.6912126287946387e-07,
|
588 |
+
"logits/chosen": 360.66326904296875,
|
589 |
+
"logits/rejected": 353.2472839355469,
|
590 |
+
"logps/chosen": -2.278568744659424,
|
591 |
+
"logps/rejected": -2.3496108055114746,
|
592 |
+
"loss": 97.7777,
|
593 |
+
"rewards/accuracies": 0.518750011920929,
|
594 |
+
"rewards/chosen": 0.04154600575566292,
|
595 |
+
"rewards/margins": 0.00018900888971984386,
|
596 |
+
"rewards/rejected": 0.04135699197649956,
|
597 |
"step": 350
|
598 |
},
|
599 |
{
|
600 |
+
"epoch": 1.085972850678733,
|
601 |
+
"grad_norm": 87.0,
|
602 |
+
"learning_rate": 2.5593942723720076e-07,
|
603 |
+
"logits/chosen": 353.33563232421875,
|
604 |
+
"logits/rejected": 335.6075134277344,
|
605 |
+
"logps/chosen": -2.326427936553955,
|
606 |
+
"logps/rejected": -2.2644736766815186,
|
607 |
+
"loss": 98.5909,
|
608 |
+
"rewards/accuracies": 0.543749988079071,
|
609 |
+
"rewards/chosen": 0.050872981548309326,
|
610 |
+
"rewards/margins": 0.008244507014751434,
|
611 |
+
"rewards/rejected": 0.04262847453355789,
|
612 |
"step": 360
|
613 |
},
|
614 |
{
|
615 |
+
"epoch": 1.1161387631975868,
|
616 |
+
"grad_norm": 150.0,
|
617 |
+
"learning_rate": 2.427410373459502e-07,
|
618 |
+
"logits/chosen": 360.3174133300781,
|
619 |
+
"logits/rejected": 337.7137451171875,
|
620 |
+
"logps/chosen": -2.3095028400421143,
|
621 |
+
"logps/rejected": -2.3610920906066895,
|
622 |
+
"loss": 97.0909,
|
623 |
+
"rewards/accuracies": 0.6187499761581421,
|
624 |
+
"rewards/chosen": 0.045982178300619125,
|
625 |
+
"rewards/margins": 0.01000190433114767,
|
626 |
+
"rewards/rejected": 0.03598027303814888,
|
627 |
"step": 370
|
628 |
},
|
629 |
{
|
630 |
+
"epoch": 1.1463046757164403,
|
631 |
+
"grad_norm": 174.0,
|
632 |
+
"learning_rate": 2.2956287948556162e-07,
|
633 |
+
"logits/chosen": 354.63238525390625,
|
634 |
+
"logits/rejected": 343.02880859375,
|
635 |
+
"logps/chosen": -2.2987804412841797,
|
636 |
+
"logps/rejected": -2.3496735095977783,
|
637 |
+
"loss": 97.7205,
|
638 |
+
"rewards/accuracies": 0.48124998807907104,
|
639 |
+
"rewards/chosen": 0.041914135217666626,
|
640 |
+
"rewards/margins": 0.004762929864227772,
|
641 |
+
"rewards/rejected": 0.03715119883418083,
|
642 |
"step": 380
|
643 |
},
|
644 |
{
|
645 |
+
"epoch": 1.1764705882352942,
|
646 |
+
"grad_norm": 158.0,
|
647 |
+
"learning_rate": 2.164416835455862e-07,
|
648 |
+
"logits/chosen": 356.2020568847656,
|
649 |
+
"logits/rejected": 331.1781921386719,
|
650 |
+
"logps/chosen": -2.3598244190216064,
|
651 |
+
"logps/rejected": -2.406748056411743,
|
652 |
+
"loss": 97.8897,
|
653 |
+
"rewards/accuracies": 0.612500011920929,
|
654 |
+
"rewards/chosen": 0.05264422297477722,
|
655 |
+
"rewards/margins": 0.006141997873783112,
|
656 |
+
"rewards/rejected": 0.04650222510099411,
|
657 |
"step": 390
|
658 |
},
|
659 |
{
|
660 |
+
"epoch": 1.2066365007541477,
|
661 |
+
"grad_norm": 122.5,
|
662 |
+
"learning_rate": 2.0341402065248575e-07,
|
663 |
+
"logits/chosen": 365.3482360839844,
|
664 |
+
"logits/rejected": 355.1469421386719,
|
665 |
+
"logps/chosen": -2.242918014526367,
|
666 |
+
"logps/rejected": -2.4804000854492188,
|
667 |
+
"loss": 96.4776,
|
668 |
+
"rewards/accuracies": 0.543749988079071,
|
669 |
+
"rewards/chosen": 0.04187587648630142,
|
670 |
+
"rewards/margins": 0.00307876686565578,
|
671 |
+
"rewards/rejected": 0.03879711031913757,
|
672 |
"step": 400
|
673 |
},
|
674 |
{
|
675 |
+
"epoch": 1.2066365007541477,
|
676 |
+
"eval_logits/chosen": 413.0242004394531,
|
677 |
+
"eval_logits/rejected": 385.0536804199219,
|
678 |
+
"eval_logps/chosen": -2.3157808780670166,
|
679 |
+
"eval_logps/rejected": -2.376335859298706,
|
680 |
+
"eval_loss": 97.31377410888672,
|
681 |
+
"eval_rewards/accuracies": 0.590753436088562,
|
682 |
+
"eval_rewards/chosen": 0.04307207837700844,
|
683 |
+
"eval_rewards/margins": 0.008345033042132854,
|
684 |
+
"eval_rewards/rejected": 0.03472704440355301,
|
685 |
+
"eval_runtime": 96.7791,
|
686 |
+
"eval_samples_per_second": 48.11,
|
687 |
+
"eval_steps_per_second": 1.509,
|
688 |
"step": 400
|
689 |
},
|
690 |
{
|
691 |
+
"epoch": 1.2368024132730016,
|
692 |
+
"grad_norm": 121.0,
|
693 |
+
"learning_rate": 1.9051620123934536e-07,
|
694 |
+
"logits/chosen": 372.9312438964844,
|
695 |
+
"logits/rejected": 332.6072692871094,
|
696 |
+
"logps/chosen": -2.3628134727478027,
|
697 |
+
"logps/rejected": -2.4130213260650635,
|
698 |
+
"loss": 97.2639,
|
699 |
+
"rewards/accuracies": 0.6625000238418579,
|
700 |
+
"rewards/chosen": 0.04606416076421738,
|
701 |
+
"rewards/margins": 0.011483157984912395,
|
702 |
+
"rewards/rejected": 0.034581005573272705,
|
703 |
"step": 410
|
704 |
},
|
705 |
{
|
706 |
+
"epoch": 1.2669683257918551,
|
707 |
+
"grad_norm": 141.0,
|
708 |
+
"learning_rate": 1.7778417384218248e-07,
|
709 |
+
"logits/chosen": 365.7309875488281,
|
710 |
+
"logits/rejected": 330.0118408203125,
|
711 |
+
"logps/chosen": -2.3192696571350098,
|
712 |
+
"logps/rejected": -2.434166431427002,
|
713 |
+
"loss": 97.2612,
|
714 |
+
"rewards/accuracies": 0.612500011920929,
|
715 |
+
"rewards/chosen": 0.04589037224650383,
|
716 |
+
"rewards/margins": 0.010156502947211266,
|
717 |
+
"rewards/rejected": 0.03573386371135712,
|
718 |
"step": 420
|
719 |
},
|
720 |
{
|
721 |
+
"epoch": 1.297134238310709,
|
722 |
+
"grad_norm": 175.0,
|
723 |
+
"learning_rate": 1.652534249049305e-07,
|
724 |
+
"logits/chosen": 364.436279296875,
|
725 |
+
"logits/rejected": 337.96990966796875,
|
726 |
+
"logps/chosen": -2.2914252281188965,
|
727 |
+
"logps/rejected": -2.368446111679077,
|
728 |
+
"loss": 96.7924,
|
729 |
+
"rewards/accuracies": 0.5687500238418579,
|
730 |
+
"rewards/chosen": 0.05218750238418579,
|
731 |
+
"rewards/margins": 0.009751560166478157,
|
732 |
+
"rewards/rejected": 0.042435940355062485,
|
733 |
"step": 430
|
734 |
},
|
735 |
{
|
736 |
+
"epoch": 1.3273001508295625,
|
737 |
+
"grad_norm": 119.0,
|
738 |
+
"learning_rate": 1.5295887987235433e-07,
|
739 |
+
"logits/chosen": 360.49114990234375,
|
740 |
+
"logits/rejected": 341.19036865234375,
|
741 |
+
"logps/chosen": -2.2844796180725098,
|
742 |
+
"logps/rejected": -2.5002331733703613,
|
743 |
+
"loss": 97.8876,
|
744 |
+
"rewards/accuracies": 0.550000011920929,
|
745 |
+
"rewards/chosen": 0.04997866973280907,
|
746 |
+
"rewards/margins": 0.00823974795639515,
|
747 |
+
"rewards/rejected": 0.04173891991376877,
|
748 |
"step": 440
|
749 |
},
|
750 |
{
|
751 |
+
"epoch": 1.3574660633484164,
|
752 |
+
"grad_norm": 169.0,
|
753 |
+
"learning_rate": 1.4093480584657152e-07,
|
754 |
+
"logits/chosen": 338.6693115234375,
|
755 |
+
"logits/rejected": 338.9823303222656,
|
756 |
+
"logps/chosen": -2.340331792831421,
|
757 |
+
"logps/rejected": -2.3622262477874756,
|
758 |
+
"loss": 97.1683,
|
759 |
+
"rewards/accuracies": 0.543749988079071,
|
760 |
+
"rewards/chosen": 0.045739155262708664,
|
761 |
+
"rewards/margins": 0.00735636567696929,
|
762 |
+
"rewards/rejected": 0.038382794708013535,
|
763 |
"step": 450
|
764 |
},
|
765 |
{
|
766 |
+
"epoch": 1.38763197586727,
|
767 |
+
"grad_norm": 149.0,
|
768 |
+
"learning_rate": 1.292147160784931e-07,
|
769 |
+
"logits/chosen": 356.4623107910156,
|
770 |
+
"logits/rejected": 323.6207580566406,
|
771 |
+
"logps/chosen": -2.2748360633850098,
|
772 |
+
"logps/rejected": -2.365034580230713,
|
773 |
+
"loss": 98.4686,
|
774 |
+
"rewards/accuracies": 0.543749988079071,
|
775 |
+
"rewards/chosen": 0.04644192382693291,
|
776 |
+
"rewards/margins": 0.010739983059465885,
|
777 |
+
"rewards/rejected": 0.0357019416987896,
|
778 |
"step": 460
|
779 |
},
|
780 |
{
|
781 |
+
"epoch": 1.4177978883861238,
|
782 |
+
"grad_norm": 125.5,
|
783 |
+
"learning_rate": 1.1783127656038188e-07,
|
784 |
+
"logits/chosen": 349.2054443359375,
|
785 |
+
"logits/rejected": 347.08544921875,
|
786 |
+
"logps/chosen": -2.277270793914795,
|
787 |
+
"logps/rejected": -2.3475308418273926,
|
788 |
+
"loss": 97.2242,
|
789 |
+
"rewards/accuracies": 0.550000011920929,
|
790 |
+
"rewards/chosen": 0.04547736421227455,
|
791 |
+
"rewards/margins": 0.006285218056291342,
|
792 |
+
"rewards/rejected": 0.03919214755296707,
|
793 |
"step": 470
|
794 |
},
|
795 |
{
|
796 |
+
"epoch": 1.4479638009049773,
|
797 |
+
"grad_norm": 169.0,
|
798 |
+
"learning_rate": 1.068162149798737e-07,
|
799 |
+
"logits/chosen": 349.33013916015625,
|
800 |
+
"logits/rejected": 320.25604248046875,
|
801 |
+
"logps/chosen": -2.3431038856506348,
|
802 |
+
"logps/rejected": -2.404095411300659,
|
803 |
+
"loss": 97.0285,
|
804 |
+
"rewards/accuracies": 0.643750011920929,
|
805 |
+
"rewards/chosen": 0.04836113005876541,
|
806 |
+
"rewards/margins": 0.011659981682896614,
|
807 |
+
"rewards/rejected": 0.036701153963804245,
|
808 |
"step": 480
|
809 |
},
|
810 |
{
|
811 |
+
"epoch": 1.4781297134238311,
|
812 |
+
"grad_norm": 131.0,
|
813 |
+
"learning_rate": 9.620023228922112e-08,
|
814 |
+
"logits/chosen": 344.032958984375,
|
815 |
+
"logits/rejected": 335.2795715332031,
|
816 |
+
"logps/chosen": -2.3322200775146484,
|
817 |
+
"logps/rejected": -2.4139535427093506,
|
818 |
+
"loss": 97.409,
|
819 |
+
"rewards/accuracies": 0.5625,
|
820 |
+
"rewards/chosen": 0.04861091822385788,
|
821 |
+
"rewards/margins": 0.00725546944886446,
|
822 |
+
"rewards/rejected": 0.041355449706315994,
|
823 |
"step": 490
|
824 |
},
|
825 |
{
|
826 |
+
"epoch": 1.5082956259426847,
|
827 |
+
"grad_norm": 135.0,
|
828 |
+
"learning_rate": 8.601291713623316e-08,
|
829 |
+
"logits/chosen": 352.27392578125,
|
830 |
+
"logits/rejected": 346.0445861816406,
|
831 |
+
"logps/chosen": -2.2179293632507324,
|
832 |
+
"logps/rejected": -2.3674466609954834,
|
833 |
+
"loss": 97.3613,
|
834 |
+
"rewards/accuracies": 0.518750011920929,
|
835 |
+
"rewards/chosen": 0.04390779882669449,
|
836 |
+
"rewards/margins": 0.003659948008134961,
|
837 |
+
"rewards/rejected": 0.0402478463947773,
|
838 |
"step": 500
|
839 |
},
|
840 |
{
|
841 |
+
"epoch": 1.5082956259426847,
|
842 |
+
"eval_logits/chosen": 412.6116638183594,
|
843 |
+
"eval_logits/rejected": 384.59588623046875,
|
844 |
+
"eval_logps/chosen": -2.3179564476013184,
|
845 |
+
"eval_logps/rejected": -2.378140687942505,
|
846 |
+
"eval_loss": 97.25182342529297,
|
847 |
+
"eval_rewards/accuracies": 0.590753436088562,
|
848 |
+
"eval_rewards/chosen": 0.04296330735087395,
|
849 |
+
"eval_rewards/margins": 0.008326511830091476,
|
850 |
+
"eval_rewards/rejected": 0.03463679552078247,
|
851 |
+
"eval_runtime": 96.7441,
|
852 |
+
"eval_samples_per_second": 48.127,
|
853 |
+
"eval_steps_per_second": 1.509,
|
854 |
"step": 500
|
855 |
},
|
856 |
{
|
857 |
+
"epoch": 1.5384615384615383,
|
858 |
+
"grad_norm": 118.5,
|
859 |
+
"learning_rate": 7.628266339540659e-08,
|
860 |
+
"logits/chosen": 348.74603271484375,
|
861 |
+
"logits/rejected": 347.08380126953125,
|
862 |
+
"logps/chosen": -2.342663288116455,
|
863 |
+
"logps/rejected": -2.448847532272339,
|
864 |
+
"loss": 97.8001,
|
865 |
+
"rewards/accuracies": 0.5249999761581421,
|
866 |
+
"rewards/chosen": 0.04741663485765457,
|
867 |
+
"rewards/margins": 0.0025564138777554035,
|
868 |
+
"rewards/rejected": 0.04486021772027016,
|
869 |
"step": 510
|
870 |
},
|
871 |
{
|
872 |
+
"epoch": 1.5686274509803921,
|
873 |
+
"grad_norm": 215.0,
|
874 |
+
"learning_rate": 6.70365910291057e-08,
|
875 |
+
"logits/chosen": 357.7579040527344,
|
876 |
+
"logits/rejected": 342.58221435546875,
|
877 |
+
"logps/chosen": -2.3019728660583496,
|
878 |
+
"logps/rejected": -2.442549228668213,
|
879 |
+
"loss": 96.9522,
|
880 |
+
"rewards/accuracies": 0.550000011920929,
|
881 |
+
"rewards/chosen": 0.04647397994995117,
|
882 |
+
"rewards/margins": 0.005314859561622143,
|
883 |
+
"rewards/rejected": 0.041159119457006454,
|
884 |
"step": 520
|
885 |
},
|
886 |
{
|
887 |
+
"epoch": 1.598793363499246,
|
888 |
+
"grad_norm": 121.0,
|
889 |
+
"learning_rate": 5.830047049936254e-08,
|
890 |
+
"logits/chosen": 358.22900390625,
|
891 |
+
"logits/rejected": 328.1488342285156,
|
892 |
+
"logps/chosen": -2.2621231079101562,
|
893 |
+
"logps/rejected": -2.453052282333374,
|
894 |
+
"loss": 96.6704,
|
895 |
+
"rewards/accuracies": 0.65625,
|
896 |
+
"rewards/chosen": 0.045031510293483734,
|
897 |
+
"rewards/margins": 0.008471885696053505,
|
898 |
+
"rewards/rejected": 0.03655962646007538,
|
899 |
"step": 530
|
900 |
},
|
901 |
{
|
902 |
+
"epoch": 1.6289592760180995,
|
903 |
+
"grad_norm": 168.0,
|
904 |
+
"learning_rate": 5.009865094097732e-08,
|
905 |
+
"logits/chosen": 343.6116638183594,
|
906 |
+
"logits/rejected": 343.15179443359375,
|
907 |
+
"logps/chosen": -2.414348602294922,
|
908 |
+
"logps/rejected": -2.4327187538146973,
|
909 |
+
"loss": 97.8265,
|
910 |
+
"rewards/accuracies": 0.5562499761581421,
|
911 |
+
"rewards/chosen": 0.044759172946214676,
|
912 |
+
"rewards/margins": 0.0038251220248639584,
|
913 |
+
"rewards/rejected": 0.04093404486775398,
|
914 |
"step": 540
|
915 |
},
|
916 |
{
|
917 |
+
"epoch": 1.6591251885369531,
|
918 |
+
"grad_norm": 378.0,
|
919 |
+
"learning_rate": 4.245399229611238e-08,
|
920 |
+
"logits/chosen": 353.45245361328125,
|
921 |
+
"logits/rejected": 337.67340087890625,
|
922 |
+
"logps/chosen": -2.2361724376678467,
|
923 |
+
"logps/rejected": -2.310511589050293,
|
924 |
+
"loss": 97.9185,
|
925 |
+
"rewards/accuracies": 0.550000011920929,
|
926 |
+
"rewards/chosen": 0.04042404517531395,
|
927 |
+
"rewards/margins": 0.003903269302099943,
|
928 |
+
"rewards/rejected": 0.03652077168226242,
|
929 |
"step": 550
|
930 |
},
|
931 |
{
|
932 |
+
"epoch": 1.689291101055807,
|
933 |
+
"grad_norm": 147.0,
|
934 |
+
"learning_rate": 3.538780159953347e-08,
|
935 |
+
"logits/chosen": 348.5847473144531,
|
936 |
+
"logits/rejected": 323.38995361328125,
|
937 |
+
"logps/chosen": -2.261584997177124,
|
938 |
+
"logps/rejected": -2.404850482940674,
|
939 |
+
"loss": 97.2381,
|
940 |
+
"rewards/accuracies": 0.59375,
|
941 |
+
"rewards/chosen": 0.04695659875869751,
|
942 |
+
"rewards/margins": 0.00860162265598774,
|
943 |
+
"rewards/rejected": 0.03835497424006462,
|
944 |
"step": 560
|
945 |
},
|
946 |
{
|
947 |
+
"epoch": 1.7194570135746607,
|
948 |
+
"grad_norm": 213.0,
|
949 |
+
"learning_rate": 2.8919773592082337e-08,
|
950 |
+
"logits/chosen": 356.572021484375,
|
951 |
+
"logits/rejected": 327.9063720703125,
|
952 |
+
"logps/chosen": -2.3302974700927734,
|
953 |
+
"logps/rejected": -2.465226173400879,
|
954 |
+
"loss": 97.1971,
|
955 |
+
"rewards/accuracies": 0.625,
|
956 |
+
"rewards/chosen": 0.046825435012578964,
|
957 |
+
"rewards/margins": 0.011095492169260979,
|
958 |
+
"rewards/rejected": 0.035729944705963135,
|
959 |
"step": 570
|
960 |
},
|
961 |
{
|
962 |
+
"epoch": 1.7496229260935143,
|
963 |
+
"grad_norm": 155.0,
|
964 |
+
"learning_rate": 2.3067935827901343e-08,
|
965 |
+
"logits/chosen": 363.5878601074219,
|
966 |
+
"logits/rejected": 354.7928161621094,
|
967 |
+
"logps/chosen": -2.347442150115967,
|
968 |
+
"logps/rejected": -2.424699068069458,
|
969 |
+
"loss": 97.9048,
|
970 |
+
"rewards/accuracies": 0.5062500238418579,
|
971 |
+
"rewards/chosen": 0.042837705463171005,
|
972 |
+
"rewards/margins": 0.0025561857037246227,
|
973 |
+
"rewards/rejected": 0.04028152674436569,
|
974 |
"step": 580
|
975 |
},
|
976 |
{
|
977 |
+
"epoch": 1.779788838612368,
|
978 |
+
"grad_norm": 152.0,
|
979 |
+
"learning_rate": 1.7848598428407024e-08,
|
980 |
+
"logits/chosen": 358.1939697265625,
|
981 |
+
"logits/rejected": 329.384765625,
|
982 |
+
"logps/chosen": -2.302311897277832,
|
983 |
+
"logps/rejected": -2.4380781650543213,
|
984 |
+
"loss": 97.3207,
|
985 |
+
"rewards/accuracies": 0.59375,
|
986 |
+
"rewards/chosen": 0.04442282021045685,
|
987 |
+
"rewards/margins": 0.011918460950255394,
|
988 |
+
"rewards/rejected": 0.032504357397556305,
|
989 |
"step": 590
|
990 |
},
|
991 |
{
|
992 |
+
"epoch": 1.8099547511312217,
|
993 |
+
"grad_norm": 215.0,
|
994 |
+
"learning_rate": 1.3276308623055982e-08,
|
995 |
+
"logits/chosen": 346.2601623535156,
|
996 |
+
"logits/rejected": 337.3775329589844,
|
997 |
+
"logps/chosen": -2.2827913761138916,
|
998 |
+
"logps/rejected": -2.39813494682312,
|
999 |
+
"loss": 97.5077,
|
1000 |
+
"rewards/accuracies": 0.574999988079071,
|
1001 |
+
"rewards/chosen": 0.040391139686107635,
|
1002 |
+
"rewards/margins": 0.005558500997722149,
|
1003 |
+
"rewards/rejected": 0.03483264148235321,
|
1004 |
"step": 600
|
1005 |
},
|
1006 |
{
|
1007 |
+
"epoch": 1.8099547511312217,
|
1008 |
+
"eval_logits/chosen": 412.5386962890625,
|
1009 |
+
"eval_logits/rejected": 384.52740478515625,
|
1010 |
+
"eval_logps/chosen": -2.330043315887451,
|
1011 |
+
"eval_logps/rejected": -2.3888137340545654,
|
1012 |
+
"eval_loss": 97.25433349609375,
|
1013 |
+
"eval_rewards/accuracies": 0.5976027250289917,
|
1014 |
+
"eval_rewards/chosen": 0.042358946055173874,
|
1015 |
+
"eval_rewards/margins": 0.0082557899877429,
|
1016 |
+
"eval_rewards/rejected": 0.0341031588613987,
|
1017 |
+
"eval_runtime": 96.6091,
|
1018 |
+
"eval_samples_per_second": 48.194,
|
1019 |
+
"eval_steps_per_second": 1.511,
|
1020 |
"step": 600
|
1021 |
},
|
1022 |
{
|
1023 |
+
"epoch": 1.8401206636500755,
|
1024 |
+
"grad_norm": 199.0,
|
1025 |
+
"learning_rate": 9.363810203607686e-09,
|
1026 |
+
"logits/chosen": 346.93450927734375,
|
1027 |
+
"logits/rejected": 334.490966796875,
|
1028 |
+
"logps/chosen": -2.3141541481018066,
|
1029 |
+
"logps/rejected": -2.3323051929473877,
|
1030 |
+
"loss": 97.5854,
|
1031 |
+
"rewards/accuracies": 0.543749988079071,
|
1032 |
+
"rewards/chosen": 0.0445205494761467,
|
1033 |
+
"rewards/margins": 0.007130137179046869,
|
1034 |
+
"rewards/rejected": 0.03739041090011597,
|
1035 |
"step": 610
|
1036 |
},
|
1037 |
{
|
1038 |
+
"epoch": 1.8702865761689291,
|
1039 |
+
"grad_norm": 212.0,
|
1040 |
+
"learning_rate": 6.1220080048908495e-09,
|
1041 |
+
"logits/chosen": 351.2411193847656,
|
1042 |
+
"logits/rejected": 340.6080017089844,
|
1043 |
+
"logps/chosen": -2.309572696685791,
|
1044 |
+
"logps/rejected": -2.4471845626831055,
|
1045 |
+
"loss": 97.3323,
|
1046 |
+
"rewards/accuracies": 0.550000011920929,
|
1047 |
+
"rewards/chosen": 0.04287445545196533,
|
1048 |
+
"rewards/margins": 0.006148182787001133,
|
1049 |
+
"rewards/rejected": 0.036726273596286774,
|
1050 |
"step": 620
|
1051 |
},
|
1052 |
{
|
1053 |
+
"epoch": 1.9004524886877827,
|
1054 |
+
"grad_norm": 173.0,
|
1055 |
+
"learning_rate": 3.5599375110729747e-09,
|
1056 |
+
"logits/chosen": 373.3907165527344,
|
1057 |
+
"logits/rejected": 343.541259765625,
|
1058 |
+
"logps/chosen": -2.3878846168518066,
|
1059 |
+
"logps/rejected": -2.472883939743042,
|
1060 |
+
"loss": 97.3339,
|
1061 |
+
"rewards/accuracies": 0.59375,
|
1062 |
+
"rewards/chosen": 0.05199785903096199,
|
1063 |
+
"rewards/margins": 0.012289008125662804,
|
1064 |
+
"rewards/rejected": 0.039708852767944336,
|
1065 |
"step": 630
|
1066 |
},
|
1067 |
{
|
1068 |
+
"epoch": 1.9306184012066365,
|
1069 |
+
"grad_norm": 144.0,
|
1070 |
+
"learning_rate": 1.6847396721454688e-09,
|
1071 |
+
"logits/chosen": 359.8321228027344,
|
1072 |
+
"logits/rejected": 329.95562744140625,
|
1073 |
+
"logps/chosen": -2.36277437210083,
|
1074 |
+
"logps/rejected": -2.395962953567505,
|
1075 |
+
"loss": 96.6934,
|
1076 |
+
"rewards/accuracies": 0.606249988079071,
|
1077 |
+
"rewards/chosen": 0.04414898157119751,
|
1078 |
+
"rewards/margins": 0.011453721672296524,
|
1079 |
+
"rewards/rejected": 0.03269525617361069,
|
1080 |
"step": 640
|
1081 |
},
|
1082 |
{
|
1083 |
+
"epoch": 1.9607843137254903,
|
1084 |
+
"grad_norm": 211.0,
|
1085 |
+
"learning_rate": 5.016410008151228e-10,
|
1086 |
+
"logits/chosen": 355.52593994140625,
|
1087 |
+
"logits/rejected": 320.21697998046875,
|
1088 |
+
"logps/chosen": -2.4310154914855957,
|
1089 |
+
"logps/rejected": -2.3878276348114014,
|
1090 |
+
"loss": 97.3498,
|
1091 |
"rewards/accuracies": 0.6187499761581421,
|
1092 |
+
"rewards/chosen": 0.043542712926864624,
|
1093 |
+
"rewards/margins": 0.00873391143977642,
|
1094 |
+
"rewards/rejected": 0.034808795899152756,
|
1095 |
"step": 650
|
1096 |
},
|
1097 |
{
|
1098 |
+
"epoch": 1.990950226244344,
|
1099 |
+
"grad_norm": 177.0,
|
1100 |
+
"learning_rate": 1.3939005275909189e-11,
|
1101 |
+
"logits/chosen": 360.26409912109375,
|
1102 |
+
"logits/rejected": 332.65447998046875,
|
1103 |
+
"logps/chosen": -2.311514377593994,
|
1104 |
+
"logps/rejected": -2.424405574798584,
|
1105 |
+
"loss": 97.3456,
|
1106 |
+
"rewards/accuracies": 0.574999988079071,
|
1107 |
+
"rewards/chosen": 0.04267590120434761,
|
1108 |
+
"rewards/margins": 0.012712600640952587,
|
1109 |
+
"rewards/rejected": 0.02996329963207245,
|
1110 |
"step": 660
|
1111 |
},
|
1112 |
{
|
1113 |
+
"epoch": 1.9969834087481146,
|
1114 |
+
"step": 662,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1115 |
"total_flos": 0.0,
|
1116 |
+
"train_loss": 98.05829228519313,
|
1117 |
+
"train_runtime": 4353.733,
|
1118 |
+
"train_samples_per_second": 19.487,
|
1119 |
+
"train_steps_per_second": 0.152
|
1120 |
}
|
1121 |
],
|
1122 |
"logging_steps": 10,
|
1123 |
+
"max_steps": 662,
|
1124 |
"num_input_tokens_seen": 0,
|
1125 |
"num_train_epochs": 2,
|
1126 |
"save_steps": 500,
|
training_args.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 5432
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:75a9c23580e1086440d267260beb97e075785f866324343c758faa8d04ff6c0c
|
3 |
size 5432
|