update model card README.md

README.md

@@ -18,11 +18,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [dmis-lab/biobert-v1.1](https://huggingface.co/dmis-lab/biobert-v1.1) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0232
-- Precision: 0.9592
-- Recall: 0.9418
-- F1: 0.9504
-- Accuracy: 0.9967
+- Loss: 0.0293
+- Precision: 0.9238
+- Recall: 0.9213
+- F1: 0.9226
+- Accuracy: 0.9950
 
 ## Model description
 
@@ -47,16 +47,15 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 4
+- num_epochs: 3
 
 ### Training results
 
 | Training Loss | Epoch | Step  | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:-----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| 0.0284        | 1.0   | 6062  | 0.0296          | 0.9073    | 0.8991 | 0.9032 | 0.9943   |
-| 0.0146        | 2.0   | 12124 | 0.0240          | 0.9431    | 0.9224 | 0.9326 | 0.9961   |
-| 0.0106        | 3.0   | 18186 | 0.0208          | 0.9527    | 0.9379 | 0.9452 | 0.9966   |
-| 0.0049        | 4.0   | 24248 | 0.0232          | 0.9592    | 0.9418 | 0.9504 | 0.9967   |
+| 0.0309        | 1.0   | 5728  | 0.0305          | 0.8977    | 0.9042 | 0.9009 | 0.9939   |
+| 0.0131        | 2.0   | 11456 | 0.0308          | 0.9089    | 0.9114 | 0.9102 | 0.9939   |
+| 0.008         | 3.0   | 17184 | 0.0293          | 0.9238    | 0.9213 | 0.9226 | 0.9950   |
 
 
 ### Framework versions