---
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: 0.2466
- Wer: 18.4363

## 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     |
|:-------------:|:-------:|:----:|:---------------:|:-------:|
| 0.8631        | 2.9070  | 250  | 0.8110          | 57.7923 |
| 0.4257        | 5.8140  | 500  | 0.7295          | 50.5545 |
| 0.1859        | 8.7209  | 750  | 0.7882          | 50.0381 |
| 0.0717        | 11.6279 | 1000 | 0.8608          | 49.2847 |
| 0.0758        | 14.5349 | 1250 | 0.2162          | 17.7826 |
| 0.0242        | 17.4419 | 1500 | 0.2390          | 19.1234 |
| 0.0105        | 20.3488 | 1750 | 0.2467          | 19.7519 |
| 0.0054        | 23.2558 | 2000 | 0.2466          | 18.4363 |


### Framework versions

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