ThuyNT03
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xlm-roberta-base-Mixed-replace-vi

Text Classification

Generated from Trainer

text-embeddings-inference

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ThuyNT03 commited on Aug 22, 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: 1.4019
-- Accuracy: 0.7958
-- F1: 0.7951
 ## Model description
@@ -51,16 +51,16 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.6785        | 1.0   | 294  | 0.5370          | 0.7958   | 0.7890 |
-| 0.4358        | 2.0   | 588  | 0.5184          | 0.8048   | 0.8000 |
-| 0.3212        | 3.0   | 882  | 0.5722          | 0.8018   | 0.7933 |
-| 0.2509        | 4.0   | 1176 | 0.7677          | 0.7912   | 0.7873 |
-| 0.1826        | 5.0   | 1470 | 0.9951          | 0.8003   | 0.8013 |
-| 0.1532        | 6.0   | 1764 | 1.1039          | 0.7973   | 0.7961 |
-| 0.1244        | 7.0   | 2058 | 1.2692          | 0.7927   | 0.7904 |
-| 0.1096        | 8.0   | 2352 | 1.3121          | 0.7943   | 0.7931 |
-| 0.08          | 9.0   | 2646 | 1.3654          | 0.7988   | 0.8002 |
-| 0.0644        | 10.0  | 2940 | 1.4019          | 0.7958   | 0.7951 |
 ### 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: 1.6016
+- Accuracy: 0.8018
+- F1: 0.7987
 ## Model description
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
+| 0.1619        | 1.0   | 294  | 1.2621          | 0.7882   | 0.7966 |
+| 0.1296        | 2.0   | 588  | 1.3555          | 0.7973   | 0.8000 |
+| 0.1191        | 3.0   | 882  | 1.4282          | 0.7837   | 0.7902 |
+| 0.0991        | 4.0   | 1176 | 1.3073          | 0.7958   | 0.7980 |
+| 0.0478        | 5.0   | 1470 | 1.5468          | 0.7988   | 0.7996 |
+| 0.0527        | 6.0   | 1764 | 1.4876          | 0.7988   | 0.8033 |
+| 0.0528        | 7.0   | 2058 | 1.4934          | 0.8064   | 0.8012 |
+| 0.0474        | 8.0   | 2352 | 1.5715          | 0.8079   | 0.8047 |
+| 0.04          | 9.0   | 2646 | 1.5777          | 0.8033   | 0.7978 |
+| 0.0266        | 10.0  | 2940 | 1.6016          | 0.8018   | 0.7987 |
 ### Framework versions