Training in progress epoch 4

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: 0.1326
+- Train Loss: 0.1334
 - Validation Loss: 0.1298
 - Train Precision: 0.4545
 - Train Recall: 0.4969
 - Train F1: 0.4748
 - Train Accuracy: 0.9589
-- Epoch: 3
+- Epoch: 4
 
 ## Model description
 
@@ -50,6 +50,7 @@ The following hyperparameters were used during training:
 | 0.1940     | 0.1394          | 0.4620          | 0.4907       | 0.4759   | 0.9572         | 1     |
 | 0.1445     | 0.1298          | 0.4545          | 0.4969       | 0.4748   | 0.9589         | 2     |
 | 0.1326     | 0.1298          | 0.4545          | 0.4969       | 0.4748   | 0.9589         | 3     |
+| 0.1334     | 0.1298          | 0.4545          | 0.4969       | 0.4748   | 0.9589         | 4     |
 
 
 ### Framework versions