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-multiple-choice
   results: []
@@ -13,7 +18,13 @@ should probably proofread and complete it, then remove this comment. -->
 
 # luke-base-multiple-choice
 
-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: 0.3865
+- Accuracy: 0.8188
+- Precision: 0.8255
+- Recall: 0.8086
+- F1: 0.8169
 
 ## 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     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| No log        | 1.0   | 269  | 0.6912          | 0.6434   | 0.6713    | 0.5620 | 0.6118 |
+| 0.6088        | 2.0   | 538  | 0.4058          | 0.8107   | 0.8139    | 0.8056 | 0.8098 |
+| 0.6088        | 3.0   | 807  | 0.3865          | 0.8188   | 0.8255    | 0.8086 | 0.8169 |
+
+
 ### Framework versions
 
 - Transformers 4.35.2