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esm2_t12_35M_UR50D-finetuned-localization

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keanhean commited on May 2

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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: 0.2729
-- Accuracy: 0.9224
 ## Model description
@@ -49,9 +49,9 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.4068        | 1.0   | 527  | 0.2816          | 0.9202   |
-| 0.237         | 2.0   | 1054 | 0.2720          | 0.9202   |
-| 0.1856        | 3.0   | 1581 | 0.2729          | 0.9224   |
 ### 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: 0.4863
+- Accuracy: 0.9676
 ## Model description
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 105  | 0.9263          | 0.9281   |
+| No log        | 2.0   | 210  | 0.5711          | 0.9640   |
+| No log        | 3.0   | 315  | 0.4863          | 0.9676   |
 ### Framework versions