End of training

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 the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.7895
-- Precision: 0.0860
-- Recall: 0.9677
-- F1: 0.1579
-- Accuracy: 0.2
+- Loss: 0.2599
+- Precision: 1.0
+- Recall: 1.0
+- F1: 1.0
+- Accuracy: 1.0
 
 ## Model description
 
@@ -50,14 +50,17 @@ 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: 2
+- num_epochs: 5
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| No log        | 1.0   | 2    | 0.8971          | 0.0775    | 1.0    | 0.1439 | 0.0775   |
-| No log        | 2.0   | 4    | 0.7895          | 0.0860    | 0.9677 | 0.1579 | 0.2      |
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1  | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:---:|:--------:|
+| No log        | 1.0   | 2    | 0.4196          | 1.0       | 1.0    | 1.0 | 1.0      |
+| No log        | 2.0   | 4    | 0.2918          | 1.0       | 1.0    | 1.0 | 1.0      |
+| No log        | 3.0   | 6    | 0.2867          | 1.0       | 1.0    | 1.0 | 1.0      |
+| No log        | 4.0   | 8    | 0.2721          | 1.0       | 1.0    | 1.0 | 1.0      |
+| No log        | 5.0   | 10   | 0.2599          | 1.0       | 1.0    | 1.0 | 1.0      |
 
 
 ### Framework versions