Opalinav
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esm2_t12_35M_UR50D-finetuned-localization

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Opalinav commited on Aug 7

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README.md +5 -5
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@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [facebook/esm2_t12_35M_UR50D](https://huggingface.co/facebook/esm2_t12_35M_UR50D) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5051
-- Accuracy: 0.7548
 ## Model description
@@ -49,9 +49,9 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.576         | 1.0   | 938  | 0.5206          | 0.7516   |
-| 0.4972        | 2.0   | 1876 | 0.4997          | 0.754    |
-| 0.4879        | 3.0   | 2814 | 0.5051          | 0.7548   |
 ### Framework versions

 This model is a fine-tuned version of [facebook/esm2_t12_35M_UR50D](https://huggingface.co/facebook/esm2_t12_35M_UR50D) on the None dataset.
 It achieves the following results on the evaluation set:
+- Loss: 0.5225
+- Accuracy: 0.7444
 ## Model description
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.5828        | 1.0   | 625  | 0.5288          | 0.7448   |
+| 0.5193        | 2.0   | 1250 | 0.5229          | 0.7468   |
+| 0.5163        | 3.0   | 1875 | 0.5225          | 0.7444   |
 ### Framework versions

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