End of training

README.md

@@ -16,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [joeddav/xlm-roberta-large-xnli](https://huggingface.co/joeddav/xlm-roberta-large-xnli) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6875
+- Loss: 0.6860
 
 ## Model description
 
@@ -35,7 +35,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 0.01
+- learning_rate: 0.0005
 - train_batch_size: 8
 - eval_batch_size: 8
 - seed: 42
@@ -48,11 +48,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 1.3184        | 1.0   | 225  | 1.9281          |
-| 1.0255        | 2.0   | 450  | 0.7382          |
-| 1.5171        | 3.0   | 675  | 0.8463          |
-| 1.5137        | 4.0   | 900  | 0.6928          |
-| 0.7438        | 5.0   | 1125 | 0.6875          |
+| 0.7328        | 1.0   | 225  | 0.7291          |
+| 0.7723        | 2.0   | 450  | 0.6914          |
+| 0.7069        | 3.0   | 675  | 0.7188          |
+| 0.6843        | 4.0   | 900  | 0.6874          |
+| 0.699         | 5.0   | 1125 | 0.6860          |
 
 
 ### Framework versions

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