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whisper-small-hi – AI Model by bosbos | AlphaNeural AI

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bosbos/
whisper-small-hi

like

0

automatic-speech-recognition

generated_from_trainer

mozilla-foundation/quran_dataset_11_0

openai/whisper-small

endpoints_compatible

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Whisper Small AR - Saidi Souhaieb

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

eval_loss: 3.0289
eval_wer: 119.0678
eval_runtime: 36.7751
eval_samples_per_second: 1.496
eval_steps_per_second: 0.19
epoch: 129.0323
step: 4000

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: 5000
mixed_precision_training: Native AMP

Framework versions

Transformers 4.40.2
Pytorch 2.3.0+cu118
Datasets 2.19.1
Tokenizers 0.19.1