---
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: 1.5073
- Accuracy: 0.465

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.5492        | 1.0   | 407  | 1.4459          | 0.455    |
| 1.3622        | 2.0   | 814  | 1.3625          | 0.43     |
| 1.237         | 3.0   | 1221 | 1.3281          | 0.465    |
| 1.1388        | 4.0   | 1628 | 1.3123          | 0.445    |
| 1.0276        | 5.0   | 2035 | 1.2981          | 0.455    |
| 0.9412        | 6.0   | 2442 | 1.3247          | 0.45     |
| 0.8528        | 7.0   | 2849 | 1.3685          | 0.45     |
| 0.7686        | 8.0   | 3256 | 1.4333          | 0.44     |
| 0.6779        | 9.0   | 3663 | 1.4563          | 0.42     |
| 0.6231        | 10.0  | 4070 | 1.5073          | 0.465    |


### Framework versions

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