update model card README.md

README.md

@@ -4,9 +4,34 @@ tags:
 - generated_from_trainer
 datasets:
 - mim_gold_ner
+metrics:
+- precision
+- recall
+- f1
+- accuracy
 model-index:
 - name: IceBERT-finetuned-ner
-  results: []
+  results:
+  - task:
+      name: Token Classification
+      type: token-classification
+    dataset:
+      name: mim_gold_ner
+      type: mim_gold_ner
+      args: mim-gold-ner
+    metrics:
+    - name: Precision
+      type: precision
+      value: 0.8873049035270985
+    - name: Recall
+      type: recall
+      value: 0.8627076114231091
+    - name: F1
+      type: f1
+      value: 0.8748333939173634
+    - name: Accuracy
+      type: accuracy
+      value: 0.9848076353832492
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -15,6 +40,12 @@ should probably proofread and complete it, then remove this comment. -->
 # IceBERT-finetuned-ner
 
 This model is a fine-tuned version of [vesteinn/IceBERT](https://huggingface.co/vesteinn/IceBERT) on the mim_gold_ner dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0783
+- Precision: 0.8873
+- Recall: 0.8627
+- F1: 0.8748
+- Accuracy: 0.9848
 
 ## Model description
 
@@ -41,6 +72,15 @@ The following hyperparameters were used during training:
 - lr_scheduler_type: linear
 - num_epochs: 3
 
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| 0.0539        | 1.0   | 2904 | 0.0768          | 0.8732    | 0.8453 | 0.8590 | 0.9833   |
+| 0.0281        | 2.0   | 5808 | 0.0737          | 0.8781    | 0.8492 | 0.8634 | 0.9838   |
+| 0.0166        | 3.0   | 8712 | 0.0783          | 0.8873    | 0.8627 | 0.8748 | 0.9848   |
+
+
 ### Framework versions
 
 - Transformers 4.11.2