---
library_name: transformers
language:
- twi
license: apache-2.0
base_model: openai/whisper-small
tags:
- custom-dataset
- local-dataset
- whisper
- generated_from_trainer
metrics:
- wer
model-index:
- name: T6-Whisper-FineTuned-DL-Twi
  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. -->

# T6-Whisper-FineTuned-DL-Twi

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Twi-native Ghanaian language. dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0077
- Wer: 40.8733
- Cer: 34.8904

## 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: 1e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 3000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Wer     | Cer     |
|:-------------:|:------:|:----:|:---------------:|:-------:|:-------:|
| 0.0308        | 0.6333 | 1000 | 0.0273          | 45.2786 | 35.2605 |
| 0.0068        | 1.2666 | 2000 | 0.0108          | 30.0399 | 23.6567 |
| 0.0038        | 1.8999 | 3000 | 0.0077          | 40.8733 | 34.8904 |


### Framework versions

- Transformers 4.48.0.dev0
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0