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: 0.1287
+- Train Loss: 0.1284
 - Validation Loss: 0.1327
 - Train Precision: 0.4396
 - Train Recall: 0.4969
 - Train F1: 0.4665
 - Train Accuracy: 0.9565
-- Epoch: 3
+- Epoch: 4
 
 ## Model description
 
@@ -50,6 +50,7 @@ The following hyperparameters were used during training:
 | 0.1853     | 0.1357          | 0.4552          | 0.4099       | 0.4314   | 0.9558         | 1     |
 | 0.1397     | 0.1327          | 0.4396          | 0.4969       | 0.4665   | 0.9565         | 2     |
 | 0.1287     | 0.1327          | 0.4396          | 0.4969       | 0.4665   | 0.9565         | 3     |
+| 0.1284     | 0.1327          | 0.4396          | 0.4969       | 0.4665   | 0.9565         | 4     |
 
 
 ### Framework versions