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: 0.1638
+- Train Loss: 0.1466
 - Validation Loss: 0.3625
 - Train Precision: 0.8491
 - Train Recall: 0.8642
 - Train F1: 0.8544
 - Train Accuracy: 0.8906
-- Epoch: 4
+- Epoch: 5
 
 ## Model description
 
@@ -51,6 +51,7 @@ The following hyperparameters were used during training:
 | 0.2734     | 0.3804          | 0.8466          | 0.8563       | 0.8471   | 0.8872         | 2     |
 | 0.2020     | 0.3704          | 0.8526          | 0.8663       | 0.8551   | 0.8896         | 3     |
 | 0.1638     | 0.3625          | 0.8491          | 0.8642       | 0.8544   | 0.8906         | 4     |
+| 0.1466     | 0.3625          | 0.8491          | 0.8642       | 0.8544   | 0.8906         | 5     |
 
 
 ### Framework versions