---
license: apache-2.0
base_model: PaschalK/swahili-whisper-small
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-swahili-small
  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-swahili-small

This model is a fine-tuned version of [PaschalK/swahili-whisper-small](https://huggingface.co/PaschalK/swahili-whisper-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3392
- Wer: 24.1789

## 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: 1e-05
- 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: 4000

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.2967        | 0.43  | 1000 | 0.4357          | 29.2499 |
| 0.2754        | 0.87  | 2000 | 0.3660          | 24.9526 |
| 0.1482        | 1.3   | 3000 | 0.3488          | 24.8468 |
| 0.1358        | 1.74  | 4000 | 0.3392          | 24.1789 |


### Framework versions

- Transformers 4.33.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.14.3
- Tokenizers 0.13.3