---
library_name: transformers
language:
- yo
- en
- ig
license: apache-2.0
base_model: ccibeekeoc42/whisper-small-yoruba-07-17
tags:
- generated_from_trainer
model-index:
- name: whisper-small-multilingual-naija-10-20-2024
  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-multilingual-naija-10-20-2024

This model is a fine-tuned version of [ccibeekeoc42/whisper-small-yoruba-07-17](https://huggingface.co/ccibeekeoc42/whisper-small-yoruba-07-17) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7923

## 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
- num_epochs: 1
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 1.5348        | 0.0458 | 100  | 1.4792          |
| 1.1822        | 0.0916 | 200  | 1.1469          |
| 0.9827        | 0.1374 | 300  | 1.0446          |
| 0.9354        | 0.1832 | 400  | 0.9927          |
| 0.8592        | 0.2290 | 500  | 0.9554          |
| 0.7696        | 0.2749 | 600  | 0.9287          |
| 0.7795        | 0.3207 | 700  | 0.9012          |
| 0.712         | 0.3665 | 800  | 0.8869          |
| 0.6793        | 0.4123 | 900  | 0.8753          |
| 0.7472        | 0.4581 | 1000 | 0.8578          |
| 0.7303        | 0.5039 | 1100 | 0.8460          |
| 0.6875        | 0.5497 | 1200 | 0.8380          |
| 0.7384        | 0.5955 | 1300 | 0.8287          |
| 0.7037        | 0.6413 | 1400 | 0.8211          |
| 0.712         | 0.6871 | 1500 | 0.8195          |
| 0.679         | 0.7329 | 1600 | 0.8073          |
| 0.6814        | 0.7787 | 1700 | 0.8033          |
| 0.6344        | 0.8246 | 1800 | 0.7994          |
| 0.6103        | 0.8704 | 1900 | 0.7950          |
| 0.6994        | 0.9162 | 2000 | 0.7926          |
| 0.5639        | 0.9620 | 2100 | 0.7923          |


### Framework versions

- Transformers 4.45.2
- Pytorch 2.0.1+cu118
- Datasets 3.0.1
- Tokenizers 0.20.1