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my_awesome_model

Text Classification

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fffffly commited on May 30, 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: 0.7495
-- Accuracy: 0.8383
 ## 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   | 0.4945          | 0.8024   |
-| No log        | 2.0   | 168  | 0.4300          | 0.8383   |
-| No log        | 3.0   | 252  | 0.4170          | 0.8144   |
-| No log        | 4.0   | 336  | 0.4209          | 0.8503   |
-| No log        | 5.0   | 420  | 0.5133          | 0.8204   |
-| 0.3035        | 6.0   | 504  | 0.6426          | 0.7994   |
-| 0.3035        | 7.0   | 588  | 0.5828          | 0.8353   |
-| 0.3035        | 8.0   | 672  | 0.6595          | 0.8234   |
-| 0.3035        | 9.0   | 756  | 0.7512          | 0.8383   |
-| 0.3035        | 10.0  | 840  | 0.7080          | 0.8263   |
-| 0.3035        | 11.0  | 924  | 0.7231          | 0.8473   |
-| 0.0326        | 12.0  | 1008 | 0.7571          | 0.8383   |
-| 0.0326        | 13.0  | 1092 | 0.7440          | 0.8383   |
-| 0.0326        | 14.0  | 1176 | 0.7603          | 0.8413   |
-| 0.0326        | 15.0  | 1260 | 0.7495          | 0.8383   |
 ### 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: 0.7876
+- Accuracy: 0.8711
 ## Model description
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 167  | 0.3886          | 0.8291   |
+| No log        | 2.0   | 334  | 0.3109          | 0.8711   |
+| 0.3456        | 3.0   | 501  | 0.3250          | 0.8861   |
+| 0.3456        | 4.0   | 668  | 0.3831          | 0.8741   |
+| 0.3456        | 5.0   | 835  | 0.4527          | 0.8816   |
+| 0.113         | 6.0   | 1002 | 0.5228          | 0.8846   |
+| 0.113         | 7.0   | 1169 | 0.5790          | 0.8786   |
+| 0.113         | 8.0   | 1336 | 0.6979          | 0.8651   |
+| 0.0229        | 9.0   | 1503 | 0.6901          | 0.8771   |
+| 0.0229        | 10.0  | 1670 | 0.7257          | 0.8696   |
+| 0.0229        | 11.0  | 1837 | 0.7485          | 0.8726   |
+| 0.0065        | 12.0  | 2004 | 0.7813          | 0.8696   |
+| 0.0065        | 13.0  | 2171 | 0.7800          | 0.8696   |
+| 0.0065        | 14.0  | 2338 | 0.7985          | 0.8636   |
+| 0.0043        | 15.0  | 2505 | 0.7876          | 0.8711   |
 ### Framework versions