fffffly
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my_awesome_model

Text Classification

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fffffly commited on May 9, 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 [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.7944
-- Accuracy: 0.8683
 ## Model description
@@ -48,21 +48,21 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 84   | 0.3652          | 0.8593   |
-| No log        | 2.0   | 168  | 0.3665          | 0.8593   |
-| No log        | 3.0   | 252  | 0.3688          | 0.8533   |
-| No log        | 4.0   | 336  | 0.3782          | 0.8473   |
-| No log        | 5.0   | 420  | 0.3860          | 0.8503   |
-| 0.1818        | 6.0   | 504  | 0.4037          | 0.8503   |
-| 0.1818        | 7.0   | 588  | 0.4540          | 0.8503   |
-| 0.1818        | 8.0   | 672  | 0.4915          | 0.8563   |
-| 0.1818        | 9.0   | 756  | 0.5585          | 0.8353   |
-| 0.1818        | 10.0  | 840  | 0.6261          | 0.8503   |
-| 0.1818        | 11.0  | 924  | 0.6174          | 0.8623   |
-| 0.075         | 12.0  | 1008 | 0.6421          | 0.8653   |
-| 0.075         | 13.0  | 1092 | 0.7308          | 0.8563   |
-| 0.075         | 14.0  | 1176 | 0.7812          | 0.8473   |
-| 0.075         | 15.0  | 1260 | 0.7944          | 0.8683   |
 ### Framework versions

 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
 It achieves the following results on the evaluation set:
+- Loss: 0.8419
+- Accuracy: 0.8623
 ## Model description
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 84   | 0.4239          | 0.8353   |
+| No log        | 2.0   | 168  | 0.4692          | 0.8443   |
+| No log        | 3.0   | 252  | 0.5098          | 0.8503   |
+| No log        | 4.0   | 336  | 0.6306          | 0.8533   |
+| No log        | 5.0   | 420  | 0.6482          | 0.8503   |
+| 0.0947        | 6.0   | 504  | 0.6836          | 0.8713   |
+| 0.0947        | 7.0   | 588  | 0.7543          | 0.8563   |
+| 0.0947        | 8.0   | 672  | 0.7751          | 0.8683   |
+| 0.0947        | 9.0   | 756  | 0.8317          | 0.8593   |
+| 0.0947        | 10.0  | 840  | 0.8653          | 0.8593   |
+| 0.0947        | 11.0  | 924  | 0.8512          | 0.8683   |
+| 0.0031        | 12.0  | 1008 | 0.8374          | 0.8713   |
+| 0.0031        | 13.0  | 1092 | 0.8369          | 0.8653   |
+| 0.0031        | 14.0  | 1176 | 0.8415          | 0.8653   |
+| 0.0031        | 15.0  | 1260 | 0.8419          | 0.8623   |
 ### Framework versions