Training in progress epoch 9

README.md

@@ -15,13 +15,13 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract-fulltext](https://huggingface.co/microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract-fulltext) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.3554
+- Train Loss: 0.3522
 - Validation Loss: 0.4051
 - Train Precision: 0.5896
 - Train Recall: 0.6245
 - Train F1: 0.6066
 - Train Accuracy: 0.8857
-- Epoch: 8
+- Epoch: 9
 
 ## Model description
 
@@ -56,6 +56,7 @@ The following hyperparameters were used during training:
 | 0.3503     | 0.4051          | 0.5896          | 0.6245       | 0.6066   | 0.8857         | 6     |
 | 0.3521     | 0.4051          | 0.5896          | 0.6245       | 0.6066   | 0.8857         | 7     |
 | 0.3554     | 0.4051          | 0.5896          | 0.6245       | 0.6066   | 0.8857         | 8     |
+| 0.3522     | 0.4051          | 0.5896          | 0.6245       | 0.6066   | 0.8857         | 9     |
 
 
 ### Framework versions