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: 0.0922
-- Precision: 0.6758
-- Recall: 0.7814
-- F1: 0.7248
-- Accuracy: 0.9791
+- Loss: 0.0925
+- Precision: 0.6771
+- Recall: 0.7942
+- F1: 0.7310
+- Accuracy: 0.9787
 
 ## Model description
 
@@ -55,9 +55,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| 0.1026        | 1.0   | 679  | 0.0663          | 0.6242    | 0.7853 | 0.6956 | 0.9772   |
-| 0.0487        | 2.0   | 1358 | 0.0710          | 0.6842    | 0.8094 | 0.7416 | 0.9789   |
-| 0.014         | 3.0   | 2037 | 0.0922          | 0.6758    | 0.7814 | 0.7248 | 0.9791   |
+| 0.1015        | 1.0   | 679  | 0.0678          | 0.6033    | 0.7827 | 0.6814 | 0.9765   |
+| 0.0476        | 2.0   | 1358 | 0.0707          | 0.6835    | 0.8094 | 0.7411 | 0.9791   |
+| 0.0136        | 3.0   | 2037 | 0.0925          | 0.6771    | 0.7942 | 0.7310 | 0.9787   |
 
 
 ### Framework versions