whisper_small-fa_v03

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whisper_small-fa_v03

This model is a fine-tuned version of openai/whisper-small on the mozilla-foundation/common_voice_11_0 fa dataset. We also did data augmentation using audiomentations library along with hyperparameter tuning to acquire the best parameters. It achieves the following results on the evaluation set:

• Loss: 0.1813
• Wer: 23.1451

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

You can Find the notebooks here.

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 6.15044e-05
• train_batch_size: 8
• eval_batch_size: 4
• 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

Training results

Framework versions

• Transformers 4.26.0
• Pytorch 2.0.1+cu117
• Datasets 2.8.0
• Tokenizers 0.13.3