ThuyNT03
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xlm-roberta-base-Mixed-delete

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ThuyNT03 commited on Aug 15, 2023

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@@ -18,9 +18,9 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.2077
-- Accuracy: 0.8139
-- F1: 0.8124
 ## Model description
@@ -51,16 +51,16 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.7402        | 1.0   | 321  | 0.5400          | 0.7640   | 0.7388 |
-| 0.5176        | 2.0   | 642  | 0.5033          | 0.8124   | 0.8039 |
-| 0.3999        | 3.0   | 963  | 0.5220          | 0.8064   | 0.8031 |
-| 0.3196        | 4.0   | 1284 | 0.6043          | 0.8200   | 0.8195 |
-| 0.2536        | 5.0   | 1605 | 0.7542          | 0.8185   | 0.8100 |
-| 0.2078        | 6.0   | 1926 | 0.9092          | 0.8169   | 0.8131 |
-| 0.162         | 7.0   | 2247 | 1.0053          | 0.8139   | 0.8103 |
-| 0.1575        | 8.0   | 2568 | 1.1220          | 0.8139   | 0.8132 |
-| 0.1125        | 9.0   | 2889 | 1.1909          | 0.8094   | 0.8092 |
-| 0.1051        | 10.0  | 3210 | 1.2077          | 0.8139   | 0.8124 |
 ### Framework versions

 This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the None dataset.
 It achieves the following results on the evaluation set:
+- Loss: 1.4189
+- Accuracy: 0.7927
+- F1: 0.7929
 ## Model description
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
+| 0.7062        | 1.0   | 321  | 0.5226          | 0.7776   | 0.7436 |
+| 0.4963        | 2.0   | 642  | 0.5556          | 0.7912   | 0.7715 |
+| 0.3891        | 3.0   | 963  | 0.5701          | 0.8048   | 0.7962 |
+| 0.2992        | 4.0   | 1284 | 0.7039          | 0.8003   | 0.7997 |
+| 0.244         | 5.0   | 1605 | 0.8238          | 0.7882   | 0.7791 |
+| 0.2053        | 6.0   | 1926 | 0.9775          | 0.8003   | 0.8013 |
+| 0.1647        | 7.0   | 2247 | 1.1414          | 0.7897   | 0.7831 |
+| 0.138         | 8.0   | 2568 | 1.2907          | 0.7927   | 0.7950 |
+| 0.1038        | 9.0   | 2889 | 1.3962          | 0.7943   | 0.7896 |
+| 0.0999        | 10.0  | 3210 | 1.4189          | 0.7927   | 0.7929 |
 ### Framework versions