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: bert-finetuned-ner
   results: []
@@ -13,6 +18,12 @@ should probably proofread and complete it, then remove this comment. -->
 # bert-finetuned-ner
 
 This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2734
+- Precision: 0.0
+- Recall: 0.0
+- F1: 0.0
+- Accuracy: 0.9388
 
 ## Model description
 
@@ -39,6 +50,17 @@ The following hyperparameters were used during training:
 - lr_scheduler_type: linear
 - num_epochs: 5
 
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1  | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:---:|:--------:|
+| No log        | 1.0   | 34   | 0.3396          | 0.0       | 0.0    | 0.0 | 0.9388   |
+| No log        | 2.0   | 68   | 0.3204          | 0.0       | 0.0    | 0.0 | 0.9388   |
+| No log        | 3.0   | 102  | 0.2837          | 0.0       | 0.0    | 0.0 | 0.9388   |
+| No log        | 4.0   | 136  | 0.2751          | 0.0       | 0.0    | 0.0 | 0.9388   |
+| No log        | 5.0   | 170  | 0.2734          | 0.0       | 0.0    | 0.0 | 0.9388   |
+
+
 ### Framework versions
 
 - Transformers 4.26.1