Model save

README.md

@@ -3,6 +3,11 @@ license: mit
 base_model: xlm-roberta-large
 tags:
 - generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+- accuracy
 model-index:
 - name: xlm-roberta-large-finetuned-ner
   results: []
@@ -14,6 +19,12 @@ should probably proofread and complete it, then remove this comment. -->
 # xlm-roberta-large-finetuned-ner
 
 This model is a fine-tuned version of [xlm-roberta-large](https://huggingface.co/xlm-roberta-large) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.0541
+- Precision: 0.1505
+- Recall: 0.0201
+- F1: 0.0355
+- Accuracy: 0.7304
 
 ## Model description
 
@@ -40,6 +51,14 @@ The following hyperparameters were used during training:
 - lr_scheduler_type: linear
 - num_epochs: 1
 
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| 1.0694        | 0.37  | 7000  | 1.0495          | 0.1505    | 0.0201 | 0.0355 | 0.7304   |
+| 1.0581        | 0.74  | 14000 | 1.0539          | 0.1505    | 0.0201 | 0.0355 | 0.7304   |
+
+
 ### Framework versions
 
 - Transformers 4.35.2