---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: electra-small-finetuned-malay-english
  results: []
language:
- en
- ms
---

<!-- 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-small-finetuned-malay-english

This model is a fine-tuned version of [Hazqeel/electra-small-finetuned-sst2-rotten_tomatoes-distilled](https://huggingface.co/Hazqeel/electra-small-finetuned-sst2-rotten_tomatoes-distilled) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2274
- Accuracy: 0.9392

## 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: 0.00012157861764282722
- train_batch_size: 32
- eval_batch_size: 32
- 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: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.1491        | 1.0   | 8431  | 0.2398          | 0.9217   |
| 0.13          | 2.0   | 16862 | 0.1834          | 0.9343   |
| 0.0965        | 3.0   | 25293 | 0.2274          | 0.9392   |


### Framework versions

- Transformers 4.27.1
- Pytorch 2.0.0+cu117
- Datasets 2.10.1
- Tokenizers 0.12.1