---
library_name: transformers
language:
- yo
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: Whisper Small Naija
  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 Naija

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: 0.5707
- Wer: 47.7271

## 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: 5000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Wer     |
|:-------------:|:------:|:----:|:---------------:|:-------:|
| 1.4056        | 0.1054 | 250  | 1.4307          | 78.3916 |
| 0.9509        | 0.2108 | 500  | 1.0383          | 71.7728 |
| 0.7805        | 0.3162 | 750  | 0.8800          | 65.6676 |
| 0.6558        | 0.4216 | 1000 | 0.7990          | 62.0093 |
| 0.6439        | 0.5270 | 1250 | 0.7510          | 64.0119 |
| 0.5898        | 0.6324 | 1500 | 0.7163          | 58.3060 |
| 0.5943        | 0.7378 | 1750 | 0.6829          | 57.5576 |
| 0.5335        | 0.8432 | 2000 | 0.6615          | 56.5056 |
| 0.528         | 0.9486 | 2250 | 0.6344          | 54.6675 |
| 0.4149        | 1.0540 | 2500 | 0.6291          | 54.5847 |
| 0.3842        | 1.1594 | 2750 | 0.6208          | 53.1334 |
| 0.3883        | 1.2648 | 3000 | 0.6095          | 47.0400 |
| 0.362         | 1.3702 | 3250 | 0.6022          | 53.3288 |
| 0.3747        | 1.4755 | 3500 | 0.5925          | 49.1806 |
| 0.3457        | 1.5809 | 3750 | 0.5834          | 48.9277 |
| 0.3529        | 1.6863 | 4000 | 0.5780          | 49.6644 |
| 0.3579        | 1.7917 | 4250 | 0.5735          | 51.2159 |
| 0.3446        | 1.8971 | 4500 | 0.5695          | 52.3765 |
| 0.319         | 2.0025 | 4750 | 0.5670          | 50.8363 |
| 0.256         | 2.1079 | 5000 | 0.5707          | 47.7271 |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.0.1+cu118
- Datasets 2.21.0
- Tokenizers 0.19.1