Model save

README.md

@@ -21,11 +21,11 @@ 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: 0.2746
-- Precision: 0.5479
-- Recall: 0.6205
-- F1: 0.5820
-- Accuracy: 0.9011
+- Loss: 0.2797
+- Precision: 0.5527
+- Recall: 0.6208
+- F1: 0.5848
+- Accuracy: 0.9005
 
 ## Model description
 
@@ -50,15 +50,16 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
-- num_epochs: 3
+- num_epochs: 4
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| 0.292         | 1.0   | 1590 | 0.2948          | 0.4976    | 0.5848 | 0.5377 | 0.8906   |
-| 0.2538        | 2.0   | 3180 | 0.2741          | 0.5447    | 0.5948 | 0.5687 | 0.9005   |
-| 0.231         | 3.0   | 4770 | 0.2746          | 0.5479    | 0.6205 | 0.5820 | 0.9011   |
+| 0.2916        | 1.0   | 1590 | 0.2980          | 0.4946    | 0.5763 | 0.5323 | 0.8890   |
+| 0.256         | 2.0   | 3180 | 0.2833          | 0.5443    | 0.5831 | 0.5630 | 0.8974   |
+| 0.2332        | 3.0   | 4770 | 0.2768          | 0.5378    | 0.6292 | 0.5799 | 0.8991   |
+| 0.1965        | 4.0   | 6360 | 0.2797          | 0.5527    | 0.6208 | 0.5848 | 0.9005   |
 
 
 ### Framework versions