---
language:
- tw
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
datasets:
- lagyamfi/akan_audio
model-index:
- name: Whisper Small Tw - Lagyamfi_v2
  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 Tw - Lagyamfi_v2

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the akan audio dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6401

## 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: 0.001
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.7315        | 1.0   | 137  | 0.7419          |
| 0.4855        | 2.0   | 274  | 0.5828          |
| 0.335         | 3.0   | 411  | 0.5613          |
| 0.2071        | 4.0   | 548  | 0.5593          |
| 0.129         | 5.0   | 685  | 0.5512          |
| 0.0691        | 6.0   | 822  | 0.5786          |
| 0.0394        | 7.0   | 959  | 0.5997          |
| 0.0168        | 8.0   | 1096 | 0.6296          |
| 0.0111        | 9.0   | 1233 | 0.6353          |
| 0.0082        | 10.0  | 1370 | 0.6401          |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1