---
license: apache-2.0
base_model: google/electra-base-discriminator
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: electra_multiple_choice
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# electra_multiple_choice

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: 1.2639
- Accuracy: 0.58

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 5e-06
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 100

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 1.4223        | 1.0   | 3207  | 1.1865          | 0.54     |
| 1.2131        | 2.0   | 6414  | 1.0817          | 0.555    |
| 1.0754        | 3.0   | 9621  | 1.0016          | 0.61     |
| 0.9402        | 4.0   | 12828 | 0.9841          | 0.595    |
| 0.8207        | 5.0   | 16035 | 0.9912          | 0.63     |
| 0.7163        | 6.0   | 19242 | 1.0808          | 0.58     |
| 0.6187        | 7.0   | 22449 | 1.0956          | 0.6      |
| 0.5425        | 8.0   | 25656 | 1.1526          | 0.63     |
| 0.4763        | 9.0   | 28863 | 1.2639          | 0.58     |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3