End of training

README.md

@@ -21,7 +21,7 @@ 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: 0.1457
+- Loss: 0.4245
 - Precision: 0.0
 - Recall: 0.0
 - F1: 0.0
@@ -50,17 +50,14 @@ 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: 5
+- num_epochs: 2
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1  | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:---:|:--------:|
-| No log        | 1.0   | 3    | 0.4724          | 0.0       | 0.0    | 0.0 | 0.9594   |
-| No log        | 2.0   | 6    | 0.3297          | 0.0       | 0.0    | 0.0 | 0.9594   |
-| No log        | 3.0   | 9    | 0.2177          | 0.0       | 0.0    | 0.0 | 0.9594   |
-| No log        | 4.0   | 12   | 0.1581          | 0.0       | 0.0    | 0.0 | 0.9594   |
-| No log        | 5.0   | 15   | 0.1457          | 0.0       | 0.0    | 0.0 | 0.9594   |
+| No log        | 1.0   | 3    | 0.4914          | 0.0       | 0.0    | 0.0 | 0.9594   |
+| No log        | 2.0   | 6    | 0.4245          | 0.0       | 0.0    | 0.0 | 0.9594   |
 
 
 ### Framework versions