---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
base_model: google/electra-small-discriminator
model-index:
- name: test_electra_small
  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. -->

# test_electra_small

This model is a fine-tuned version of [google/electra-small-discriminator](https://huggingface.co/google/electra-small-discriminator) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6214
- Accuracy: 0.69

## 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-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.6806        | 1.0   | 13   | 0.6456          | 0.69     |
| 0.6503        | 2.0   | 26   | 0.6261          | 0.69     |
| 0.634         | 3.0   | 39   | 0.6214          | 0.69     |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.1.1+cpu
- Datasets 2.17.0
- Tokenizers 0.15.2