End of training

README.md

@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.7801
-- Accuracy: 0.4307
+- Loss: 1.5590
+- Accuracy: 0.4587
 
 ## Model description
 
@@ -37,7 +37,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 5e-05
+- learning_rate: 1e-05
 - train_batch_size: 32
 - eval_batch_size: 64
 - seed: 42
@@ -49,9 +49,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 1.6317        | 1.0   | 1159 | 1.5848          | 0.4400   |
-| 1.3155        | 2.0   | 2318 | 1.6256          | 0.4408   |
-| 0.9483        | 3.0   | 3477 | 1.7801          | 0.4307   |
+| 1.6649        | 1.0   | 1159 | 1.5851          | 0.4465   |
+| 1.5221        | 2.0   | 2318 | 1.5577          | 0.4566   |
+| 1.4229        | 3.0   | 3477 | 1.5590          | 0.4587   |
 
 
 ### Framework versions