ihanif/whisper-turbo-ar-v3

🤗 Hugging Face sourceautomatic-speech-recognitionmit809M params3.2 GBsafetensors✓ 3 checksumsupdated today

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Whisper Turbo - Hanif Rahman

This model is a fine-tuned version of ihanif/whisper-turbo-ar-v2 on the Common Voice 17.0 dataset. It achieves the following results on the evaluation set:

eval_loss: 2.9315
eval_wer_ortho: 867.0862
eval_wer: 880.1660
eval_runtime: 1478.3887
eval_samples_per_second: 1.09
eval_steps_per_second: 0.068
epoch: 1.8779
step: 400

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: 16
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine_with_restarts
lr_scheduler_warmup_steps: 500
training_steps: 2000
mixed_precision_training: Native AMP

Framework versions

Transformers 4.46.1
Pytorch 2.5.0+cu121
Datasets 3.0.2
Tokenizers 0.20.1