End of training

README.md

@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4176
+- Loss: 0.6339
 
 ## Model description
 
@@ -34,9 +34,9 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 1e-05
-- train_batch_size: 16
-- eval_batch_size: 8
+- learning_rate: 0.003
+- train_batch_size: 32
+- eval_batch_size: 16
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
@@ -47,16 +47,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 0.6749        | 1.0   | 99   | 0.6492          |
-| 0.5996        | 2.0   | 198  | 0.5918          |
-| 0.6368        | 3.0   | 297  | 0.5676          |
-| 0.5453        | 4.0   | 396  | 0.4176          |
-| 0.2549        | 5.0   | 495  | 0.4746          |
-| 0.2518        | 6.0   | 594  | 0.5545          |
-| 0.1891        | 7.0   | 693  | 0.7260          |
-| 0.1042        | 8.0   | 792  | 0.9964          |
-| 0.056         | 9.0   | 891  | 1.0677          |
-| 0.0109        | 10.0  | 990  | 0.9208          |
+| 0.6338        | 1.0   | 50   | 0.6428          |
+| 0.6921        | 2.0   | 100  | 0.6613          |
+| 0.6453        | 3.0   | 150  | 0.6626          |
+| 0.6368        | 4.0   | 200  | 0.6847          |
+| 0.6039        | 5.0   | 250  | 0.6969          |
+| 0.7043        | 6.0   | 300  | 0.6464          |
+| 0.6971        | 7.0   | 350  | 0.6339          |
+| 0.6376        | 8.0   | 400  | 0.6956          |
+| 0.6976        | 9.0   | 450  | 0.6344          |
+| 0.623         | 10.0  | 500  | 0.6493          |
 
 
 ### Framework versions

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