End of training

README.md

@@ -17,11 +17,11 @@ 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: 0.0013
-- Accuracy: 0.9999
-- F1 Macro: 0.9995
-- Precision Macro: 0.9999
-- Recall Macro: 0.999
+- Loss: 0.0019
+- Accuracy: 0.9998
+- F1 Macro: 0.9994
+- Precision Macro: 0.9994
+- Recall Macro: 0.9994
 
 ## Model description
 
@@ -52,11 +52,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step  | Validation Loss | Accuracy | F1 Macro | Precision Macro | Recall Macro |
 |:-------------:|:-----:|:-----:|:---------------:|:--------:|:--------:|:---------------:|:------------:|
-| 0.0096        | 1.0   | 8750  | 0.0011          | 0.9999   | 0.9995   | 0.9999          | 0.999        |
-| 0.0           | 2.0   | 17500 | 0.0000          | 1.0      | 1.0      | 1.0             | 1.0          |
-| 0.0032        | 3.0   | 26250 | 0.0030          | 0.9997   | 0.9984   | 0.9998          | 0.997        |
-| 0.0           | 4.0   | 35000 | 0.0013          | 0.9999   | 0.9995   | 0.9999          | 0.999        |
-| 0.0           | 5.0   | 43750 | 0.0013          | 0.9999   | 0.9995   | 0.9999          | 0.999        |
+| 0.0026        | 1.0   | 9188  | 0.0044          | 0.9995   | 0.9986   | 0.9993          | 0.9979       |
+| 0.0041        | 2.0   | 18376 | 0.0094          | 0.9990   | 0.9970   | 0.9946          | 0.9994       |
+| 0.0001        | 3.0   | 27564 | 0.0050          | 0.9993   | 0.9981   | 0.9970          | 0.9992       |
+| 0.0056        | 4.0   | 36752 | 0.0037          | 0.9995   | 0.9986   | 0.9980          | 0.9993       |
+| 0.0           | 5.0   | 45940 | 0.0019          | 0.9998   | 0.9994   | 0.9994          | 0.9994       |
 
 
 ### Framework versions