End of training

README.md

@@ -3,6 +3,11 @@ license: apache-2.0
 base_model: google/electra-base-discriminator
 tags:
 - generated_from_trainer
+metrics:
+- accuracy
+- precision
+- recall
+- f1
 model-index:
 - name: electra-base-multiple-choice-v1
   results: []
@@ -13,7 +18,13 @@ should probably proofread and complete it, then remove this comment. -->
 
 # electra-base-multiple-choice-v1
 
-This model is a fine-tuned version of [google/electra-base-discriminator](https://huggingface.co/google/electra-base-discriminator) on an unknown dataset.
+This model is a fine-tuned version of [google/electra-base-discriminator](https://huggingface.co/google/electra-base-discriminator) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2889
+- Accuracy: 0.8975
+- Precision: 0.9011
+- Recall: 0.8931
+- F1: 0.8971
 
 ## 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  | 0.2970          | 0.8804   | 0.8830    | 0.8769 | 0.8799 |
+| 0.3559        | 2.0   | 538  | 0.2695          | 0.8932   | 0.8965    | 0.8891 | 0.8928 |
+| 0.3559        | 3.0   | 807  | 0.2889          | 0.8975   | 0.9011    | 0.8931 | 0.8971 |
+
+
 ### Framework versions
 
 - Transformers 4.35.2