---
library_name: transformers
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-small-akan
  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-akan

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2208
- Wer: 9.3196

## 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: 0.0001
- 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: 200
- training_steps: 2000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.0726        | 10.0  | 250  | 0.8217          | 48.0395 |
| 0.0246        | 20.0  | 500  | 0.9650          | 44.0903 |
| 0.011         | 30.0  | 750  | 0.9165          | 40.6770 |
| 0.0022        | 40.0  | 1000 | 0.9419          | 39.9436 |
| 0.0009        | 50.0  | 1250 | 0.2120          | 9.7770  |
| 0.0002        | 60.0  | 1500 | 0.2179          | 9.0909  |
| 0.0001        | 70.0  | 1750 | 0.2201          | 9.3196  |
| 0.0001        | 80.0  | 2000 | 0.2208          | 9.3196  |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1