update model card README.md

README.md

@@ -1,6 +1,11 @@
 ---
 tags:
 - generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+- accuracy
 model-index:
 - name: baseline_longformerv1
   results: []
@@ -11,7 +16,13 @@ should probably proofread and complete it, then remove this comment. -->
 
 # baseline_longformerv1
 
-This model is a fine-tuned version of [allenai/longformer-base-4096](https://huggingface.co/allenai/longformer-base-4096) on an unknown dataset.
+This model is a fine-tuned version of [allenai/longformer-base-4096](https://huggingface.co/allenai/longformer-base-4096) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.7596
+- Precision: 0.1333
+- Recall: 0.15
+- F1: 0.1400
+- Accuracy: 0.1400
 
 ## Model description
 
@@ -41,6 +52,13 @@ The following hyperparameters were used during training:
 - lr_scheduler_warmup_ratio: 0.1
 - num_epochs: 1
 
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| 1.8469        | 0.89  | 1    | 1.7596          | 0.1333    | 0.15   | 0.1400 | 0.1400   |
+
+
 ### Framework versions
 
 - Transformers 4.18.0