End of training

README.md

@@ -3,6 +3,11 @@ license: apache-2.0
 base_model: studio-ousia/luke-base
 tags:
 - generated_from_trainer
+metrics:
+- accuracy
+- precision
+- recall
+- f1
 model-index:
 - name: luke-base
   results: []
@@ -13,7 +18,13 @@ should probably proofread and complete it, then remove this comment. -->
 
 # luke-base
 
-This model is a fine-tuned version of [studio-ousia/luke-base](https://huggingface.co/studio-ousia/luke-base) on an unknown dataset.
+This model is a fine-tuned version of [studio-ousia/luke-base](https://huggingface.co/studio-ousia/luke-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3638
+- Accuracy: 0.8492
+- Precision: 0.8536
+- Recall: 0.8429
+- F1: 0.8482
 
 ## Model description
 
@@ -40,6 +51,15 @@ The following hyperparameters were used during training:
 - lr_scheduler_type: linear
 - num_epochs: 3
 
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| 0.4523        | 1.0   | 1074 | 0.4276          | 0.8191   | 0.8383    | 0.7908 | 0.8139 |
+| 0.3397        | 2.0   | 2148 | 0.3576          | 0.8472   | 0.8528    | 0.8393 | 0.8460 |
+| 0.2865        | 3.0   | 3222 | 0.3638          | 0.8492   | 0.8536    | 0.8429 | 0.8482 |
+
+
 ### Framework versions
 
 - Transformers 4.36.2