Training in progress epoch 5

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: 0.2500
+- Train Loss: 0.2344
 - Validation Loss: 0.5477
 - Train Precision: 0.5943
 - Train Recall: 0.6009
 - Train F1: 0.5963
 - Train Accuracy: 0.8552
-- Epoch: 4
+- Epoch: 5
 
 ## Model description
 
@@ -51,6 +51,7 @@ The following hyperparameters were used during training:
 | 0.3958     | 0.5655          | 0.6173          | 0.5757       | 0.5845   | 0.8503         | 2     |
 | 0.3047     | 0.5495          | 0.6099          | 0.5855       | 0.5937   | 0.8523         | 3     |
 | 0.2500     | 0.5477          | 0.5943          | 0.6009       | 0.5963   | 0.8552         | 4     |
+| 0.2344     | 0.5477          | 0.5943          | 0.6009       | 0.5963   | 0.8552         | 5     |
 
 
 ### Framework versions