whisper-small-yoruba-lora

olaysco/whisper-small-yoruba-lora

whisper-small-yoruba-lora is a machine learning model from olaysco. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as apache-2.0.

should probably proofread and complete it, then remove this comment. --

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At a glance

Library: peft
License: apache-2.0
Access: Public
Created: Jun 8, 2026
Updated: Jul 23, 2026
SHA: cd9a2708

Base models

openai/whisper-small

Model card

From the Hugging Face model README

whisper-small-yoruba-lora

This model is a fine-tuned version of openai/whisper-small on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.2035

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: 0.001
train_batch_size: 32
eval_batch_size: 16
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 8
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.6545	0.8989	2000	0.6119
0.5771	1.7978	4000	0.5680
0.5156	2.6966	6000	0.4931
0.3813	3.5955	8000	0.4293
0.3119	4.4944	10000	0.3719
0.2177	5.3933	12000	0.3084
0.1305	6.2921	14000	0.2485
0.0542	7.1910	16000	0.2035

Framework versions

PEFT 0.14.0
Transformers 4.50.3
Pytorch 2.11.0+cu128
Datasets 4.0.0
Tokenizers 0.21.4

Library: peft
License: apache-2.0
Created: Jun 8, 2026
Updated: Jul 23, 2026