asr-africa
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Whisper-WOLOF-1-hour-Google-Fleurs-dataset

Automatic Speech Recognition

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Whisper-WOLOF-1-hours-Google-Fleurs-dataset

This model is a fine-tuned version of openai/whisper-small on the google/fleurs dataset.

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: 32
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 50

Training results

Framework versions

Transformers 4.45.2
Pytorch 2.1.0+cu118
Datasets 3.0.1
Tokenizers 0.20.1

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Safetensors

Model size

242M params

Tensor type

F32

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Model tree for asr-africa/Whisper-WOLOF-1-hour-Google-Fleurs-dataset

Base model

openai/whisper-small

Finetuned

(2966)

this model

Dataset used to train asr-africa/Whisper-WOLOF-1-hour-Google-Fleurs-dataset

Collection including asr-africa/Whisper-WOLOF-1-hour-Google-Fleurs-dataset

Wolof

Collection of Wav2Vec2-XLS-R, W2V2-BERT and Whisper models trained on ALFFA dataset • 66 items • Updated 17 days ago

Evaluation results

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