Whisper_SM_EN_GS / README.md
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metadata
language:
  - en
license: apache-2.0
tags:
  - hf-asr-leaderboard
  - generated_from_trainer
datasets:
  - speechcolab/gigaspeech
model-index:
  - name: Whisper_SM_EN_GS
    results: []

Whisper_SM_EN_GS

This model is a fine-tuned version of openai/whisper-small on the gigaspeech 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: 5e-05
  • train_batch_size: 3
  • eval_batch_size: 3
  • seed: 42
  • gradient_accumulation_steps: 3
  • total_train_batch_size: 9
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 50
  • training_steps: 40

Training results

Framework versions

  • Transformers 4.31.0.dev0
  • Pytorch 1.13.0+cu117
  • Datasets 2.13.0
  • Tokenizers 0.13.3