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esm2_t6_8M_UR50D-finetuned-localization

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ranjman commited on Nov 16, 2023

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update model card README.md

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@@ -16,8 +16,8 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [facebook/esm2_t6_8M_UR50D](https://huggingface.co/facebook/esm2_t6_8M_UR50D) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1503
-- Accuracy: 0.9513
 ## Model description
@@ -48,9 +48,9 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.1398        | 1.0   | 1016 | 0.1636          | 0.9420   |
-| 0.1269        | 2.0   | 2032 | 0.1351          | 0.9480   |
-| 0.1072        | 3.0   | 3048 | 0.1503          | 0.9513   |
 ### Framework versions

 This model is a fine-tuned version of [facebook/esm2_t6_8M_UR50D](https://huggingface.co/facebook/esm2_t6_8M_UR50D) on the None dataset.
 It achieves the following results on the evaluation set:
+- Loss: 0.5149
+- Accuracy: 0.7883
 ## Model description
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.5377        | 1.0   | 1238 | 0.5221          | 0.7959   |
+| 0.5064        | 2.0   | 2476 | 0.5234          | 0.7741   |
+| 0.4695        | 3.0   | 3714 | 0.5149          | 0.7883   |
 ### Framework versions