hannahbillo
/

dpo-llama3-8b-sample-rules

Generated from Trainer

Model card Files Files and versions Metrics Training metrics Community

hannahbillo commited on Aug 18, 2024

Commit

cc24af6

·

verified ·

1 Parent(s): 90ef5d0

End of training

Files changed (1) hide show

README.md +10 -10

README.md CHANGED Viewed

@@ -18,15 +18,15 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [meta-llama/Meta-Llama-3.1-8B](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1841
-- Rewards/chosen: 0.0866
-- Rewards/rejected: -1.6352
 - Rewards/accuracies: 1.0
-- Rewards/margins: 1.7218
-- Logps/rejected: -545.1958
-- Logps/chosen: -202.5652
-- Logits/rejected: -1.3753
-- Logits/chosen: -1.2073
 ## Model description
@@ -61,8 +61,8 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch  | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
 |:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
-| 0.4281        | 0.4444 | 50   | 0.3902          | 0.1843         | -0.5815          | 1.0                | 0.7658          | -439.8294      | -192.8043    | -1.3883         | -1.2422       |
-| 0.193         | 0.8889 | 100  | 0.1841          | 0.0866         | -1.6352          | 1.0                | 1.7218          | -545.1958      | -202.5652    | -1.3753         | -1.2073       |
 ### Framework versions

 This model is a fine-tuned version of [meta-llama/Meta-Llama-3.1-8B](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B) on the None dataset.
 It achieves the following results on the evaluation set:
+- Loss: 0.1877
+- Rewards/chosen: 0.0468
+- Rewards/rejected: -1.6718
 - Rewards/accuracies: 1.0
+- Rewards/margins: 1.7186
+- Logps/rejected: -533.8027
+- Logps/chosen: -205.1740
+- Logits/rejected: -1.4124
+- Logits/chosen: -1.2468
 ## Model description
 | Training Loss | Epoch  | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
 |:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
+| 0.4235        | 0.4444 | 50   | 0.3831          | 0.1873         | -0.5971          | 1.0                | 0.7844          | -426.3294      | -191.1236    | -1.4109         | -1.2728       |
+| 0.1946        | 0.8889 | 100  | 0.1877          | 0.0468         | -1.6718          | 1.0                | 1.7186          | -533.8027      | -205.1740    | -1.4124         | -1.2468       |
 ### Framework versions