ThuyNT03
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xlm-roberta-base-Mixed-delete

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ThuyNT03 commited on Aug 15, 2023

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update model card README.md

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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: 1.4189
-- Accuracy: 0.7927
-- F1: 0.7929
 ## Model description
@@ -51,16 +51,16 @@ The following hyperparameters were used during training:
 | 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

 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: 1.6994
+- Accuracy: 0.7852
+- F1: 0.7857
 ## Model description
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
+| 0.221         | 1.0   | 321  | 1.0439          | 0.7897   | 0.7970 |
+| 0.1714        | 2.0   | 642  | 1.1443          | 0.7867   | 0.7795 |
+| 0.1252        | 3.0   | 963  | 1.1800          | 0.8079   | 0.8089 |
+| 0.1066        | 4.0   | 1284 | 1.3241          | 0.7973   | 0.7987 |
+| 0.0817        | 5.0   | 1605 | 1.5002          | 0.7912   | 0.7937 |
+| 0.0692        | 6.0   | 1926 | 1.4525          | 0.8033   | 0.8044 |
+| 0.0529        | 7.0   | 2247 | 1.5662          | 0.7988   | 0.8000 |
+| 0.0505        | 8.0   | 2568 | 1.6376          | 0.7958   | 0.7968 |
+| 0.0341        | 9.0   | 2889 | 1.6486          | 0.7988   | 0.7989 |
+| 0.0367        | 10.0  | 3210 | 1.6994          | 0.7852   | 0.7857 |
 ### Framework versions