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

This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0030
- Wer: 41.5869

## 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: 500
- training_steps: 2000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.2883        | 5.0   | 250  | 0.7379          | 70.2488 |
| 0.0873        | 10.0  | 500  | 0.8617          | 49.6246 |
| 0.0373        | 15.0  | 750  | 0.9027          | 47.4165 |
| 0.0204        | 20.0  | 1000 | 0.9374          | 44.5017 |
| 0.0078        | 25.0  | 1250 | 0.9861          | 44.0601 |
| 0.0014        | 30.0  | 1500 | 0.9873          | 42.1758 |
| 0.0003        | 35.0  | 1750 | 0.9982          | 41.4544 |
| 0.0003        | 40.0  | 2000 | 1.0030          | 41.5869 |


### Framework versions

- Transformers 4.45.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.1