---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: electra-small-doa-finetuned-ms-en-v3
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# electra-small-doa-finetuned-ms-en-v3

This model is a fine-tuned version of [Hazqeel/electra-small-finetuned-malay-english](https://huggingface.co/Hazqeel/electra-small-finetuned-malay-english) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0066
- Accuracy: 0.9987

## 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: 2.714001199331585e-05
- train_batch_size: 128
- eval_batch_size: 128
- seed: 39
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.3555        | 1.0   | 2110  | 0.0303          | 0.9907   |
| 0.0273        | 2.0   | 4220  | 0.0089          | 0.9979   |
| 0.0111        | 3.0   | 6330  | 0.0069          | 0.9986   |
| 0.0066        | 4.0   | 8440  | 0.0074          | 0.9984   |
| 0.0044        | 5.0   | 10550 | 0.0066          | 0.9987   |


### Framework versions

- Transformers 4.27.1
- Pytorch 2.0.1+cu117
- Datasets 2.10.1
- Tokenizers 0.12.1