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whisper-small-wolof-v2 – AI Model by ngia | AlphaNeural AI

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ngia/
whisper-small-wolof-v2

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automatic-speech-recognition

generated_from_trainer

IndabaxSenegal/asr-wolof-dataset

openai/whisper-small

endpoints_compatible

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Whisper Small WO - Team

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

eval_loss: 1.8224
eval_wer: 111.3192
eval_runtime: 3443.366
eval_samples_per_second: 0.754
eval_steps_per_second: 0.094
epoch: 1.5385
step: 1000

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: 2000
mixed_precision_training: Native AMP

Framework versions

Transformers 4.45.1
Pytorch 2.4.0
Datasets 3.0.1
Tokenizers 0.20.0