End of training

README.md

@@ -18,12 +18,12 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [FacebookAI/xlm-roberta-large](https://huggingface.co/FacebookAI/xlm-roberta-large) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1015
-- Accuracy: 0.9769
-- 1-f1: 0.9647
-- 1-recall: 0.9498
-- 1-precision: 0.9801
-- Balanced Acc: 0.9701
+- Loss: 0.2841
+- Accuracy: 0.9152
+- 1-f1: 0.8648
+- 1-recall: 0.8147
+- 1-precision: 0.9214
+- Balanced Acc: 0.8900
 
 ## Model description
 
@@ -55,9 +55,12 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | 1-f1   | 1-recall | 1-precision | Balanced Acc |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
-| 0.0798        | 1.0   | 25   | 0.0764          | 0.9794   | 0.9686 | 0.9537   | 0.9841      | 0.9730       |
-| 0.1083        | 2.0   | 50   | 0.1017          | 0.9781   | 0.9667 | 0.9537   | 0.9802      | 0.9720       |
-| 0.068         | 3.0   | 75   | 0.1015          | 0.9769   | 0.9647 | 0.9498   | 0.9801      | 0.9701       |
+| 0.6179        | 1.0   | 25   | 0.6021          | 0.6671   | 0.0    | 0.0      | 0.0         | 0.5          |
+| 0.4255        | 2.0   | 50   | 0.3616          | 0.8946   | 0.8353 | 0.8031   | 0.8703      | 0.8717       |
+| 0.2818        | 3.0   | 75   | 0.2559          | 0.9139   | 0.8571 | 0.7761   | 0.9571      | 0.8794       |
+| 0.2035        | 4.0   | 100  | 0.2363          | 0.9190   | 0.8706 | 0.8185   | 0.9298      | 0.8939       |
+| 0.1596        | 5.0   | 125  | 0.2638          | 0.9126   | 0.8677 | 0.8610   | 0.8745      | 0.8997       |
+| 0.1866        | 6.0   | 150  | 0.2841          | 0.9152   | 0.8648 | 0.8147   | 0.9214      | 0.8900       |
 
 
 ### Framework versions

model.safetensors

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runs/Aug19_23-14-49_0baf4a1a5cc0/events.out.tfevents.1755645291.0baf4a1a5cc0.4649.0

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training_args.bin

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