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 [FacebookAI/xlm-roberta-base](https://huggingface.co/FacebookAI/xlm-roberta-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0002
-- Precision: 0.9499
-- Recall: 0.9766
-- F1: 0.9630
-- Accuracy: 0.9999
+- Loss: 0.0006
+- Precision: 0.9508
+- Recall: 0.9784
+- F1: 0.9644
+- Accuracy: 0.9998
 
 ## Model description
 
@@ -55,7 +55,7 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step  | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:-----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| 0.0003        | 1.0   | 11269 | 0.0002          | 0.9499    | 0.9766 | 0.9630 | 0.9999   |
+| 0.0           | 1.0   | 13564 | 0.0006          | 0.9508    | 0.9784 | 0.9644 | 0.9998   |
 
 
 ### Framework versions