End of training

README.md

@@ -21,11 +21,11 @@ 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: 0.0002
-- Accuracy: 1.0
-- F1: 1.0
-- Precision: 1.0
-- Recall: 1.0
+- Loss: 0.1321
+- Accuracy: 0.97
+- F1: 0.9700
+- Precision: 0.9717
+- Recall: 0.97
 
 ## Model description
 
@@ -44,7 +44,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 0.0003
+- learning_rate: 0.0004
 - train_batch_size: 8
 - eval_batch_size: 8
 - seed: 42
@@ -56,9 +56,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
-| 0.0804        | 1.0   | 120  | 0.0662          | 0.9875   | 0.9875 | 0.9878    | 0.9875 |
-| 0.0003        | 2.0   | 240  | 0.0002          | 1.0      | 1.0    | 1.0       | 1.0    |
-| 0.0002        | 3.0   | 360  | 0.0001          | 1.0      | 1.0    | 1.0       | 1.0    |
+| 0.1276        | 1.0   | 120  | 0.2365          | 0.9458   | 0.9457 | 0.9511    | 0.9458 |
+| 0.4081        | 2.0   | 240  | 0.2115          | 0.9583   | 0.9583 | 0.9615    | 0.9583 |
+| 0.1085        | 3.0   | 360  | 0.1289          | 0.9708   | 0.9708 | 0.9724    | 0.9708 |
 
 
 ### Framework versions