End of training

README.md

@@ -14,13 +14,13 @@ 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 an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.2048
-- Validation Loss: 0.0749
-- Train Precision: 0.8898
-- Train Recall: 0.9129
-- Train F1: 0.9012
-- Train Accuracy: 0.9784
-- Epoch: 0
+- Train Loss: 0.0344
+- Validation Loss: 0.0633
+- Train Precision: 0.9181
+- Train Recall: 0.9322
+- Train F1: 0.9251
+- Train Accuracy: 0.9823
+- Epoch: 2
 
 ## Model description
 
@@ -47,6 +47,8 @@ The following hyperparameters were used during training:
 | Train Loss | Validation Loss | Train Precision | Train Recall | Train F1 | Train Accuracy | Epoch |
 |:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
 | 0.2048     | 0.0749          | 0.8898          | 0.9129       | 0.9012   | 0.9784         | 0     |
+| 0.0556     | 0.0621          | 0.9150          | 0.9300       | 0.9224   | 0.9819         | 1     |
+| 0.0344     | 0.0633          | 0.9181          | 0.9322       | 0.9251   | 0.9823         | 2     |
 
 
 ### Framework versions

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