End of training

README.md

@@ -20,11 +20,11 @@ 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 an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0450
-- Precision: 0.8433
-- Recall: 0.8926
-- F1: 0.8672
-- Accuracy: 0.9882
+- Loss: 0.0251
+- Precision: 0.9030
+- Recall: 0.9427
+- F1: 0.9224
+- Accuracy: 0.9941
 
 ## Model description
 
@@ -49,14 +49,15 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 2
+- num_epochs: 3
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| 0.3271        | 1.0   | 882  | 0.0750          | 0.7356    | 0.8351 | 0.7822 | 0.9793   |
-| 0.0637        | 2.0   | 1764 | 0.0450          | 0.8433    | 0.8926 | 0.8672 | 0.9882   |
+| 0.3913        | 1.0   | 882  | 0.0832          | 0.7304    | 0.8048 | 0.7658 | 0.9785   |
+| 0.0642        | 2.0   | 1764 | 0.0370          | 0.8679    | 0.9023 | 0.8847 | 0.9903   |
+| 0.0331        | 3.0   | 2646 | 0.0251          | 0.9030    | 0.9427 | 0.9224 | 0.9941   |
 
 
 ### Framework versions

pytorch_model.bin

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training_args.bin

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