Model save

README.md

@@ -3,6 +3,11 @@ license: mit
 base_model: roberta-base
 tags:
 - generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+- accuracy
 model-index:
 - name: roberta-base-finetuned-ner
   results: []
@@ -14,6 +19,12 @@ should probably proofread and complete it, then remove this comment. -->
 # roberta-base-finetuned-ner
 
 This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1286
+- Precision: 0.9710
+- Recall: 0.9645
+- F1: 0.9677
+- Accuracy: 0.9630
 
 ## Model description
 
@@ -40,6 +51,10 @@ The following hyperparameters were used during training:
 - lr_scheduler_type: linear
 - num_epochs: 6
 
+### Training results
+
+
+
 ### Framework versions
 
 - Transformers 4.35.2