---
library_name: transformers
base_model: openai/whisper-large-v3-turbo
tags:
- generated_from_trainer
datasets:
- kojo-george/asanti-twi-tts
metrics:
- wer
model-index:
- name: Whisper ASR Asanti Twi
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: kojo-george/asanti-twi-tts
      type: asanti-twi-dataset
      args: 'config: hi, split: test'
    metrics:
    - name: Wer
      type: wer
      value: 18.398768283294842
---

<!-- 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 ASR Asanti Twi

This model is a fine-tuned version of [openai/whisper-turbo](https://huggingface.co/openai/whisper-turbo) on the kojo-george/asanti-twi-tts dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2205
- Wer: 18.3988

## 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     |
|:-------------:|:------:|:----:|:---------------:|:-------:|
| 0.226         | 0.5666 | 1000 | 0.3430          | 25.6197 |
| 0.1438        | 1.1331 | 2000 | 0.2737          | 20.8776 |
| 0.1277        | 1.6997 | 3000 | 0.2353          | 18.9530 |
| 0.083         | 2.2663 | 4000 | 0.2205          | 18.3988 |


### Framework versions

- Transformers 4.46.3
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3