update model card README.md

README.md

@@ -5,8 +5,6 @@ tags:
 metrics:
 - accuracy
 - f1
-- precision
-- recall
 model-index:
 - name: patentClassfication2
   results: []
@@ -19,11 +17,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [allenai/scibert_scivocab_uncased](https://huggingface.co/allenai/scibert_scivocab_uncased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6263
-- Accuracy: 0.6572
-- F1: 0.6151
-- Precision: 0.6966
-- Recall: 0.5507
+- Loss: 0.6174
+- Accuracy: 0.6679
+- F1: 0.6763
 
 ## Model description
 
@@ -54,11 +50,11 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step  | Validation Loss | Accuracy | F1     | Precision | Recall |
-|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|:---------:|:------:|
-| 0.6346        | 1.0   | 4438  | 0.6263          | 0.6572   | 0.6151 | 0.6966    | 0.5507 |
-| 0.5796        | 2.0   | 8876  | 0.6388          | 0.6758   | 0.6833 | 0.6646    | 0.7030 |
-| 0.5268        | 3.0   | 13314 | 0.6567          | 0.6715   | 0.6833 | 0.6565    | 0.7123 |
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy | F1     |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|
+| 0.6489        | 1.0   | 4438  | 0.6401          | 0.6589   | 0.6221 |
+| 0.6055        | 2.0   | 8876  | 0.6174          | 0.6679   | 0.6763 |
+| 0.5566        | 3.0   | 13314 | 0.6250          | 0.6754   | 0.6839 |
 
 
 ### Framework versions