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metadata
library_name: transformers
license: apache-2.0
base_model: openai/whisper-small.en
tags:
  - generated_from_trainer
datasets:
  - yashtiwari/PaulMooney-Medical-ASR-Data
model-index:
  - name: Whisper Small Medical(English OnlyS)
    results: []

Whisper Small Medical(English OnlyS)

This model is a fine-tuned version of openai/whisper-small.en on the Medical ASR dataset.

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: 32
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Use OptimizerNames.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: 50
  • training_steps: 1000
  • mixed_precision_training: Native AMP

Framework versions

  • Transformers 4.49.0
  • Pytorch 2.6.0+cu124
  • Datasets 3.3.2
  • Tokenizers 0.21.0