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: 0.1184
+- Loss: 0.6859
 
 ## Model description
 
@@ -35,7 +35,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 1e-05
+- learning_rate: 0.0001
 - 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 |
 |:-------------:|:-----:|:----:|:---------------:|
-| 0.3831        | 1.0   | 225  | 0.3412          |
-| 0.1971        | 2.0   | 450  | 0.1608          |
-| 0.1276        | 3.0   | 675  | 0.1224          |
-| 0.1123        | 4.0   | 900  | 0.1184          |
-| 0.0044        | 5.0   | 1125 | 0.1972          |
+| 0.7164        | 1.0   | 225  | 0.6946          |
+| 0.7487        | 2.0   | 450  | 0.6916          |
+| 0.6877        | 3.0   | 675  | 0.8238          |
+| 0.7036        | 4.0   | 900  | 0.6876          |
+| 0.6976        | 5.0   | 1125 | 0.6859          |
 
 
 ### Framework versions

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