Training in progress epoch 4

README.md

@@ -15,13 +15,13 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.3260
+- Train Loss: 0.3257
 - Validation Loss: 0.3764
 - Train Precision: 0.7369
 - Train Recall: 0.7941
 - Train F1: 0.7644
 - Train Accuracy: 0.8553
-- Epoch: 3
+- Epoch: 4
 
 ## Model description
 
@@ -51,6 +51,7 @@ The following hyperparameters were used during training:
 | 0.4327     | 0.3963          | 0.7202          | 0.7764       | 0.7472   | 0.8445         | 1     |
 | 0.3506     | 0.3764          | 0.7369          | 0.7941       | 0.7644   | 0.8553         | 2     |
 | 0.3260     | 0.3764          | 0.7369          | 0.7941       | 0.7644   | 0.8553         | 3     |
+| 0.3257     | 0.3764          | 0.7369          | 0.7941       | 0.7644   | 0.8553         | 4     |
 
 
 ### Framework versions