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---
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
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