Model save

README.md

@@ -3,6 +3,11 @@ license: apache-2.0
 base_model: surrey-nlp/albert-large-v2-finetuned-abbDet
 tags:
 - generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+- accuracy
 model-index:
 - name: albert-large-v2-finetuned-abbDet-finetuned-ner-Custom
   results: []
@@ -14,6 +19,12 @@ should probably proofread and complete it, then remove this comment. -->
 # albert-large-v2-finetuned-abbDet-finetuned-ner-Custom
 
 This model is a fine-tuned version of [surrey-nlp/albert-large-v2-finetuned-abbDet](https://huggingface.co/surrey-nlp/albert-large-v2-finetuned-abbDet) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1315
+- Precision: 0.9768
+- Recall: 0.9733
+- F1: 0.9750
+- Accuracy: 0.9731
 
 ## Model description
 
@@ -43,6 +54,10 @@ The following hyperparameters were used during training:
 - num_epochs: 10
 - mixed_precision_training: Native AMP
 
+### Training results
+
+
+
 ### Framework versions
 
 - Transformers 4.37.2