update model card README.md

README.md

@@ -2,6 +2,11 @@
 license: apache-2.0
 tags:
 - generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+- accuracy
 model-index:
 - name: ner-bio-annotated-4
   results: []
@@ -12,7 +17,13 @@ should probably proofread and complete it, then remove this comment. -->
 
 # ner-bio-annotated-4
 
-This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
+This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1253
+- Precision: 0.7316
+- Recall: 0.7846
+- F1: 0.7572
+- Accuracy: 0.9640
 
 ## Model description
 
@@ -40,6 +51,15 @@ The following hyperparameters were used during training:
 - lr_scheduler_warmup_ratio: 0.2
 - num_epochs: 3
 
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| No log        | 1.0   | 67   | 0.1690          | 0.5398    | 0.6195 | 0.5769 | 0.9422   |
+| No log        | 2.0   | 134  | 0.1422          | 0.6725    | 0.7493 | 0.7089 | 0.9562   |
+| No log        | 3.0   | 201  | 0.1253          | 0.7316    | 0.7846 | 0.7572 | 0.9640   |
+
+
 ### Framework versions
 
 - Transformers 4.30.2