anirudh21
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distilbert-base-uncased-finetuned-rte

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anirudh21 commited on Jan 11, 2022

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update model card README.md

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@@ -29,7 +29,7 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the glue dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.8224
 - Accuracy: 0.6282
 ## Model description
@@ -61,11 +61,11 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 156  | 0.6949          | 0.4946   |
-| No log        | 2.0   | 312  | 0.6853          | 0.5884   |
-| No log        | 3.0   | 468  | 0.7092          | 0.5957   |
-| 0.6095        | 4.0   | 624  | 0.7930          | 0.6101   |
-| 0.6095        | 5.0   | 780  | 0.8224          | 0.6282   |
 ### Framework versions

 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the glue dataset.
 It achieves the following results on the evaluation set:
+- Loss: 0.8025
 - Accuracy: 0.6282
 ## Model description
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 156  | 0.6891          | 0.5235   |
+| No log        | 2.0   | 312  | 0.6543          | 0.6209   |
+| No log        | 3.0   | 468  | 0.7298          | 0.6029   |
+| 0.5955        | 4.0   | 624  | 0.8025          | 0.6282   |
+| 0.5955        | 5.0   | 780  | 0.8441          | 0.6245   |
 ### Framework versions