fffffly
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my_awesome_model

Text Classification

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fffffly commited on May 19, 2023

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update model card README.md

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@@ -16,7 +16,7 @@ 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 None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.8728
 - 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   | 0.4747          | 0.7994   |
-| No log        | 2.0   | 168  | 0.4092          | 0.8353   |
-| No log        | 3.0   | 252  | 0.4113          | 0.8383   |
-| No log        | 4.0   | 336  | 0.4563          | 0.8383   |
-| No log        | 5.0   | 420  | 0.5089          | 0.8473   |
-| 0.2803        | 6.0   | 504  | 0.7061          | 0.8054   |
-| 0.2803        | 7.0   | 588  | 0.6719          | 0.8473   |
-| 0.2803        | 8.0   | 672  | 0.7272          | 0.8443   |
-| 0.2803        | 9.0   | 756  | 0.7827          | 0.8383   |
-| 0.2803        | 10.0  | 840  | 0.8168          | 0.8383   |
-| 0.2803        | 11.0  | 924  | 0.8543          | 0.8443   |
-| 0.0263        | 12.0  | 1008 | 0.8725          | 0.8383   |
-| 0.0263        | 13.0  | 1092 | 0.8781          | 0.8383   |
-| 0.0263        | 14.0  | 1176 | 0.8775          | 0.8413   |
-| 0.0263        | 15.0  | 1260 | 0.8728          | 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: 0.7495
 - Accuracy: 0.8383
 ## Model description
 | 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