whisper-base

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whisper-base-fa - Sadegh Karimi

This model is a fine-tuned version of SadeghK/whisper-base on the Common Voice 20.0 dataset. It achieves the following results on the evaluation set:

• Loss: 0.0813
• Wer: 10.3712

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Use convert-to-ggml.ipynb to convert to ggml

To run faster with whisper.cpp, use convert-to-ggml.ipynb to convert model. Model is already converted and saved as "ggml-base-fa.bin"

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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• training_steps: 50000
• mixed_precision_training: Native AMP

Training results

Framework versions

• Transformers 4.48.2
• Pytorch 2.1.0+cu118
• Datasets 3.2.0
• Tokenizers 0.21.0