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psst-medium-scrambled-en

Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
English
whisper
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metadata
language:
  - en
license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - NathanRoll/SBC_randword_segmented
model-index:
  - name: PSST Scrambled
    results: []

PSST Scrambled

This model is a fine-tuned version of openai/whisper-medium.en on the Santa Barbara Corpus of Spoken American English 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
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 64
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 50
  • training_steps: 400
  • mixed_precision_training: Native AMP

Training results

Framework versions

  • Transformers 4.26.1
  • Pytorch 1.13.1+cu116
  • Datasets 2.10.0
  • Tokenizers 0.13.2