End of training

README.md

@@ -3,6 +3,11 @@ license: mit
 base_model: FacebookAI/xlm-roberta-base
 tags:
 - generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+- accuracy
 model-index:
 - name: xlm-roberta-base-finetuned-ner
   results: []
@@ -14,6 +19,12 @@ should probably proofread and complete it, then remove this comment. -->
 # xlm-roberta-base-finetuned-ner
 
 This model is a fine-tuned version of [FacebookAI/xlm-roberta-base](https://huggingface.co/FacebookAI/xlm-roberta-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1709
+- Precision: 0.9135
+- Recall: 0.9540
+- F1: 0.9333
+- Accuracy: 0.9703
 
 ## Model description
 
@@ -38,7 +49,18 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 10
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| 0.2034        | 1.0   | 3528  | 0.1751          | 0.8395    | 0.8960 | 0.8668 | 0.9486   |
+| 0.1664        | 2.0   | 7056  | 0.1565          | 0.8781    | 0.9253 | 0.9010 | 0.9586   |
+| 0.0924        | 3.0   | 10584 | 0.1574          | 0.8903    | 0.9382 | 0.9136 | 0.9643   |
+| 0.0641        | 4.0   | 14112 | 0.1663          | 0.9013    | 0.9551 | 0.9274 | 0.9664   |
+| 0.0348        | 5.0   | 17640 | 0.1709          | 0.9135    | 0.9540 | 0.9333 | 0.9703   |
+
 
 ### Framework versions