Model save

README.md

@@ -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: 0.6768
-- Accuracy: 0.8686
-- F1: 0.8681
+- Loss: 0.5130
+- Accuracy: 0.8563
+- F1: 0.8551
 
 ## Model description
 
@@ -49,18 +49,18 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step  | Validation Loss | Accuracy | F1     |
-|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|
-| 0.1644        | 1.0   | 2123  | 0.7022          | 0.8509   | 0.8500 |
-| 0.1186        | 2.0   | 4246  | 0.7210          | 0.8596   | 0.8593 |
-| 0.102         | 3.0   | 6369  | 0.7096          | 0.8633   | 0.8628 |
-| 0.1515        | 4.0   | 8492  | 0.6543          | 0.8691   | 0.8687 |
-| 0.1105        | 5.0   | 10615 | 0.6768          | 0.8686   | 0.8681 |
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
+| 1.2557        | 1.0   | 1699 | 0.7169          | 0.7858   | 0.7805 |
+| 0.6384        | 2.0   | 3398 | 0.5732          | 0.8285   | 0.8251 |
+| 0.4814        | 3.0   | 5097 | 0.5527          | 0.8382   | 0.8368 |
+| 0.3813        | 4.0   | 6796 | 0.5146          | 0.8527   | 0.8505 |
+| 0.3156        | 5.0   | 8495 | 0.5130          | 0.8563   | 0.8551 |
 
 
 ### Framework versions
 
-- Transformers 4.41.0
+- Transformers 4.41.1
 - Pytorch 2.3.0+cu121
 - Datasets 2.19.1
 - Tokenizers 0.19.1

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:54b5d6fd418892aa85c02216d8d4ce857d31cddb31b4b1464a6ddb10571da423
 size 1112281908