---
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: 0.1882
- Accuracy: 0.97

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 1.4562        | 1.0   | 1725  | 1.2637          | 0.46     |
| 1.2814        | 2.0   | 3450  | 1.0774          | 0.55     |
| 1.1775        | 3.0   | 5175  | 0.9072          | 0.675    |
| 1.069         | 4.0   | 6900  | 0.7319          | 0.72     |
| 0.9674        | 5.0   | 8625  | 0.6151          | 0.78     |
| 0.8679        | 6.0   | 10350 | 0.5140          | 0.825    |
| 0.7673        | 7.0   | 12075 | 0.4306          | 0.84     |
| 0.6849        | 8.0   | 13800 | 0.3721          | 0.87     |
| 0.6147        | 9.0   | 15525 | 0.3286          | 0.885    |
| 0.5522        | 10.0  | 17250 | 0.2913          | 0.895    |
| 0.4936        | 11.0  | 18975 | 0.2785          | 0.915    |
| 0.4532        | 12.0  | 20700 | 0.2467          | 0.91     |
| 0.4107        | 13.0  | 22425 | 0.2226          | 0.93     |
| 0.3825        | 14.0  | 24150 | 0.2073          | 0.945    |
| 0.3492        | 15.0  | 25875 | 0.2027          | 0.93     |
| 0.3189        | 16.0  | 27600 | 0.2269          | 0.925    |
| 0.2977        | 17.0  | 29325 | 0.2412          | 0.93     |
| 0.2817        | 18.0  | 31050 | 0.1913          | 0.935    |
| 0.266         | 19.0  | 32775 | 0.1517          | 0.94     |
| 0.2437        | 20.0  | 34500 | 0.2012          | 0.935    |
| 0.234         | 21.0  | 36225 | 0.1600          | 0.935    |
| 0.2195        | 22.0  | 37950 | 0.1688          | 0.955    |
| 0.2002        | 23.0  | 39675 | 0.1347          | 0.955    |
| 0.1987        | 24.0  | 41400 | 0.1976          | 0.95     |
| 0.1858        | 25.0  | 43125 | 0.1568          | 0.955    |
| 0.1784        | 26.0  | 44850 | 0.1453          | 0.955    |
| 0.169         | 27.0  | 46575 | 0.1547          | 0.955    |
| 0.1597        | 28.0  | 48300 | 0.1882          | 0.97     |


### Framework versions

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