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

This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0747
- Wer: 43.6101

## 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: 3000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.4857        | 10.0  | 250  | 0.7120          | 57.1555 |
| 0.0806        | 20.0  | 500  | 0.8478          | 49.9411 |
| 0.0347        | 30.0  | 750  | 0.9223          | 48.1743 |
| 0.0168        | 40.0  | 1000 | 1.0079          | 55.1826 |
| 0.0085        | 50.0  | 1250 | 1.0402          | 47.3498 |
| 0.0051        | 60.0  | 1500 | 1.0890          | 46.7314 |
| 0.0029        | 70.0  | 1750 | 1.0639          | 44.9352 |
| 0.002         | 80.0  | 2000 | 1.0707          | 44.6702 |
| 0.0005        | 90.0  | 2250 | 1.0705          | 43.7574 |
| 0.0005        | 100.0 | 2500 | 1.0721          | 44.4052 |
| 0.0002        | 110.0 | 2750 | 1.0730          | 43.3451 |
| 0.0003        | 120.0 | 3000 | 1.0747          | 43.6101 |


### Framework versions

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