Training complete

README.md

@@ -20,11 +20,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [microsoft/biogpt](https://huggingface.co/microsoft/biogpt) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0765
-- Precision: 0.6889
-- Recall: 0.7925
-- F1: 0.7371
-- Accuracy: 0.9738
+- Loss: 0.0648
+- Precision: 0.7018
+- Recall: 0.8301
+- F1: 0.7605
+- Accuracy: 0.9752
 
 ## Model description
 
@@ -55,9 +55,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| 0.2229        | 1.0   | 591  | 0.1379          | 0.5462    | 0.5324 | 0.5392 | 0.9513   |
-| 0.1379        | 2.0   | 1182 | 0.0994          | 0.6547    | 0.6352 | 0.6448 | 0.9646   |
-| 0.1028        | 3.0   | 1773 | 0.0765          | 0.6889    | 0.7925 | 0.7371 | 0.9738   |
+| 0.2223        | 1.0   | 665  | 0.1261          | 0.5357    | 0.6135 | 0.5719 | 0.9529   |
+| 0.1479        | 2.0   | 1330 | 0.0855          | 0.6373    | 0.7977 | 0.7085 | 0.9687   |
+| 0.111         | 3.0   | 1995 | 0.0648          | 0.7018    | 0.8301 | 0.7605 | 0.9752   |
 
 
 ### Framework versions