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: 0.1767
-- Precision: 0.4995
-- Recall: 0.6213
-- F1: 0.5538
-- Accuracy: 0.9585
+- Loss: 0.1491
+- Precision: 0.4416
+- Recall: 0.5578
+- F1: 0.4930
+- Accuracy: 0.9576
 
 ## Model description
 
@@ -55,9 +55,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| 0.1027        | 1.0   | 679  | 0.1725          | 0.4706    | 0.5794 | 0.5194 | 0.9566   |
-| 0.0712        | 2.0   | 1358 | 0.1856          | 0.4722    | 0.5832 | 0.5219 | 0.9580   |
-| 0.0459        | 3.0   | 2037 | 0.1767          | 0.4995    | 0.6213 | 0.5538 | 0.9585   |
+| 0.3004        | 1.0   | 679  | 0.1688          | 0.3313    | 0.4244 | 0.3721 | 0.9476   |
+| 0.1682        | 2.0   | 1358 | 0.1706          | 0.3805    | 0.5667 | 0.4553 | 0.9503   |
+| 0.0935        | 3.0   | 2037 | 0.1491          | 0.4416    | 0.5578 | 0.4930 | 0.9576   |
 
 
 ### Framework versions