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 [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3101
-- Accuracy: 0.8963
+- Loss: 0.2533
+- Accuracy: 0.9333
 
 ## Model description
 
@@ -43,15 +43,17 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 3
+- num_epochs: 5
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 48   | 0.2982          | 0.8963   |
-| No log        | 2.0   | 96   | 0.3090          | 0.8963   |
-| No log        | 3.0   | 144  | 0.3101          | 0.8963   |
+| No log        | 1.0   | 96   | 0.2471          | 0.9111   |
+| No log        | 2.0   | 192  | 0.2360          | 0.9259   |
+| No log        | 3.0   | 288  | 0.2270          | 0.9333   |
+| No log        | 4.0   | 384  | 0.2654          | 0.9370   |
+| No log        | 5.0   | 480  | 0.2533          | 0.9333   |
 
 
 ### Framework versions

pytorch_model.bin

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training_args.bin

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