update model card README.md

README.md

@@ -4,6 +4,7 @@ tags:
 - generated_from_trainer
 metrics:
 - accuracy
+- f1
 model-index:
 - name: patentClassfication3
   results: []
@@ -16,8 +17,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [allenai/longformer-large-4096](https://huggingface.co/allenai/longformer-large-4096) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5709
-- Accuracy: 0.7283
+- Loss: 0.5626
+- Accuracy: 0.7273
+- F1: 0.7363
 
 ## Model description
 
@@ -44,17 +46,15 @@ The following hyperparameters were used during training:
 - lr_scheduler_type: cosine
 - lr_scheduler_warmup_ratio: 0.1
 - lr_scheduler_warmup_steps: 240
-- num_epochs: 5
+- num_epochs: 3
 
 ### Training results
 
-| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
-|:-------------:|:-----:|:-----:|:---------------:|:--------:|
-| 0.6069        | 1.0   | 4438  | 0.5878          | 0.6927   |
-| 0.559         | 2.0   | 8876  | 0.5991          | 0.7026   |
-| 0.5133        | 3.0   | 13314 | 0.5709          | 0.7283   |
-| 0.4348        | 4.0   | 17752 | 0.6091          | 0.7228   |
-| 0.376         | 5.0   | 22190 | 0.7537          | 0.7117   |
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy | F1     |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|
+| 0.5874        | 1.0   | 4438  | 0.5567          | 0.7050   | 0.7191 |
+| 0.5338        | 2.0   | 8876  | 0.5391          | 0.7226   | 0.7435 |
+| 0.4762        | 3.0   | 13314 | 0.5626          | 0.7273   | 0.7363 |
 
 
 ### Framework versions