JustDoItNow
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deberta-v3-large-reward-model

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JustDoItNow commited on Aug 22

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@@ -19,8 +19,8 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [microsoft/deberta-v3-large](https://huggingface.co/microsoft/deberta-v3-large) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0128
-- Accuracy: 0.995
 ## Model description
@@ -53,11 +53,11 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.0312        | 2.0   | 100  | 0.0212          | 0.9925   |
-| 0.0013        | 4.0   | 200  | 0.0131          | 0.995    |
-| 0.0003        | 6.0   | 300  | 0.0119          | 0.995    |
-| 0.0003        | 8.0   | 400  | 0.0132          | 0.995    |
-| 0.0001        | 10.0  | 500  | 0.0128          | 0.995    |
 ### Framework versions

 This model is a fine-tuned version of [microsoft/deberta-v3-large](https://huggingface.co/microsoft/deberta-v3-large) on an unknown dataset.
 It achieves the following results on the evaluation set:
+- Loss: 0.0084
+- Accuracy: 0.9975
 ## Model description
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.0336        | 2.0   | 100  | 0.0315          | 0.9975   |
+| 0.0043        | 4.0   | 200  | 0.0105          | 0.9925   |
+| 0.0006        | 6.0   | 300  | 0.0079          | 0.9975   |
+| 0.0001        | 8.0   | 400  | 0.0086          | 0.9975   |
+| 0.0002        | 10.0  | 500  | 0.0084          | 0.9975   |
 ### Framework versions