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

# whisper-small-DL-Twi

This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Twi- native Ghanaian language. dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0056
- Wer: 21.9877
- Cer: 19.3600

## 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: 4000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Wer     | Cer     |
|:-------------:|:------:|:----:|:---------------:|:-------:|:-------:|
| 0.0228        | 0.5701 | 1000 | 0.0239          | 31.6736 | 25.7396 |
| 0.0055        | 1.1403 | 2000 | 0.0089          | 19.4690 | 14.9189 |
| 0.0028        | 1.7104 | 3000 | 0.0061          | 27.2975 | 22.3501 |
| 0.0034        | 2.2805 | 4000 | 0.0056          | 21.9877 | 19.3600 |


### Framework versions

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