---
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: 1.4687
- Accuracy: 0.55

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.6127        | 1.0   | 12   | 1.6036          | 0.4      |
| 1.6001        | 2.0   | 24   | 1.5999          | 0.4      |
| 1.5916        | 3.0   | 36   | 1.5950          | 0.5      |
| 1.5849        | 4.0   | 48   | 1.5886          | 0.45     |
| 1.5793        | 5.0   | 60   | 1.5803          | 0.35     |
| 1.5642        | 6.0   | 72   | 1.5700          | 0.45     |
| 1.5416        | 7.0   | 84   | 1.5605          | 0.35     |
| 1.5106        | 8.0   | 96   | 1.5492          | 0.35     |
| 1.479         | 9.0   | 108  | 1.5357          | 0.35     |
| 1.443         | 10.0  | 120  | 1.5292          | 0.4      |
| 1.4114        | 11.0  | 132  | 1.5169          | 0.35     |
| 1.3505        | 12.0  | 144  | 1.5082          | 0.35     |
| 1.2985        | 13.0  | 156  | 1.5072          | 0.35     |
| 1.2493        | 14.0  | 168  | 1.4992          | 0.35     |
| 1.1686        | 15.0  | 180  | 1.4915          | 0.4      |
| 1.1307        | 16.0  | 192  | 1.4833          | 0.4      |
| 1.0781        | 17.0  | 204  | 1.4744          | 0.3      |
| 1.0179        | 18.0  | 216  | 1.4659          | 0.5      |
| 0.947         | 19.0  | 228  | 1.4576          | 0.5      |
| 0.9518        | 20.0  | 240  | 1.4522          | 0.5      |
| 0.8961        | 21.0  | 252  | 1.4535          | 0.45     |
| 0.8691        | 22.0  | 264  | 1.4598          | 0.45     |
| 0.8041        | 23.0  | 276  | 1.4512          | 0.45     |
| 0.7875        | 24.0  | 288  | 1.4568          | 0.45     |
| 0.7282        | 25.0  | 300  | 1.4601          | 0.45     |
| 0.7203        | 26.0  | 312  | 1.4595          | 0.5      |
| 0.6602        | 27.0  | 324  | 1.4606          | 0.5      |
| 0.6311        | 28.0  | 336  | 1.4687          | 0.55     |


### Framework versions

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