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: 0.0648
-- Precision: 0.7018
-- Recall: 0.8301
-- F1: 0.7605
-- Accuracy: 0.9752
+- Loss: 0.0776
+- Precision: 0.6554
+- Recall: 0.7769
+- F1: 0.7110
+- Accuracy: 0.9720
 
 ## Model description
 
@@ -55,9 +55,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| 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   |
+| 0.2614        | 1.0   | 665  | 0.1613          | 0.6132    | 0.4708 | 0.5326 | 0.9406   |
+| 0.1694        | 2.0   | 1330 | 0.0951          | 0.5704    | 0.7198 | 0.6365 | 0.9654   |
+| 0.1298        | 3.0   | 1995 | 0.0776          | 0.6554    | 0.7769 | 0.7110 | 0.9720   |
 
 
 ### Framework versions