update model card README.md

README.md

@@ -19,11 +19,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext](https://huggingface.co/microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2870
-- Accuracy: 0.893
-- F1: 0.8996
-- Precision: 0.8822
-- Recall: 0.9177
+- Loss: 0.2750
+- Accuracy: 0.9261
+- F1: 0.9259
+- Precision: 0.9311
+- Recall: 0.9207
 
 ## Model description
 
@@ -52,12 +52,12 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
-| 0.3099        | 1.0   | 1000 | 0.2870          | 0.893    | 0.8996 | 0.8822    | 0.9177 |
-| 0.2679        | 2.0   | 2000 | 0.3312          | 0.9005   | 0.9032 | 0.9188    | 0.8880 |
-| 0.2308        | 3.0   | 3000 | 0.4214          | 0.899    | 0.9048 | 0.8914    | 0.9187 |
-| 0.1504        | 4.0   | 4000 | 0.4381          | 0.9015   | 0.9051 | 0.9117    | 0.8986 |
+| Training Loss | Epoch | Step   | Validation Loss | Accuracy | F1     | Precision | Recall |
+|:-------------:|:-----:|:------:|:---------------:|:--------:|:------:|:---------:|:------:|
+| 0.2484        | 1.0   | 30000  | 0.2765          | 0.9192   | 0.9209 | 0.9039    | 0.9386 |
+| 0.2141        | 2.0   | 60000  | 0.2750          | 0.9261   | 0.9259 | 0.9311    | 0.9207 |
+| 0.1991        | 3.0   | 90000  | 0.2952          | 0.9271   | 0.9275 | 0.9248    | 0.9303 |
+| 0.1661        | 4.0   | 120000 | 0.3409          | 0.9274   | 0.9275 | 0.9284    | 0.9266 |
 
 
 ### Framework versions