---
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: 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-tiny](https://huggingface.co/openai/whisper-tiny) on the Twi-native Ghanaian language. dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0063
- Wer: 23.4562
- Cer: 21.7611

## 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     |
|:-------------:|:------:|:----:|:---------------:|:-------:|:-------:|
| 0.025         | 0.6333 | 1000 | 0.0285          | 27.9879 | 21.3775 |
| 0.0083        | 1.2666 | 2000 | 0.0094          | 20.4318 | 17.7329 |
| 0.0058        | 1.8999 | 3000 | 0.0072          | 19.5177 | 17.5028 |
| 0.0012        | 2.5332 | 4000 | 0.0063          | 23.4562 | 21.7611 |


### Framework versions

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