---
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: 1.4409
- Accuracy: 0.61

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 1.4503        | 1.0   | 1713  | 1.2659          | 0.485    |
| 1.2726        | 2.0   | 3426  | 1.1611          | 0.52     |
| 1.1661        | 3.0   | 5139  | 1.0906          | 0.56     |
| 1.0649        | 4.0   | 6852  | 1.0425          | 0.58     |
| 0.9637        | 5.0   | 8565  | 1.0425          | 0.61     |
| 0.8681        | 6.0   | 10278 | 1.0039          | 0.62     |
| 0.7704        | 7.0   | 11991 | 1.0983          | 0.625    |
| 0.6871        | 8.0   | 13704 | 1.2018          | 0.62     |
| 0.6137        | 9.0   | 15417 | 1.2758          | 0.615    |
| 0.55          | 10.0  | 17130 | 1.3500          | 0.595    |
| 0.4966        | 11.0  | 18843 | 1.4409          | 0.61     |


### Framework versions

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