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-v2
   results: []
@@ -13,7 +18,13 @@ should probably proofread and complete it, then remove this comment. -->
 
 # electra-base-multiple-choice-v2
 
-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: 0.2899
+- Accuracy: 0.8954
+- Precision: 0.8967
+- Recall: 0.8937
+- F1: 0.8952
 
 ## 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  | 0.2868          | 0.8794   | 0.8738    | 0.8868 | 0.8803 |
+| 0.3357        | 2.0   | 538  | 0.2767          | 0.8939   | 0.8956    | 0.8917 | 0.8937 |
+| 0.3357        | 3.0   | 807  | 0.2899          | 0.8954   | 0.8967    | 0.8937 | 0.8952 |
+
+
 ### Framework versions
 
 - Transformers 4.35.2

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:1cf8f5c5eef19ce57ee054dfcdd9718ffd4c3f54489ded652b6c586b1493b047
 size 437956148