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Whisper-small-Mozilla

Automatic Speech Recognition
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Persian
whisper
fa-asr-leaderboard
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metadata
language:
  - fa
license: apache-2.0
base_model: hwrpartai/Whisper-small-Mozilla
tags:
  - fa-asr-leaderboard
  - generated_from_trainer
datasets:
  - mozilla-foundation/common_voice_15_0
model-index:
  - name: Whisper Small Persian
    results: []

Whisper Small Persian

This model is a fine-tuned version of hwrpartai/Whisper-small-Mozilla on the Common Voice 15.0 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: 0.0001
  • train_batch_size: 14
  • eval_batch_size: 10
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 56
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 50
  • training_steps: 5
  • mixed_precision_training: Native AMP

Training results

Framework versions

  • Transformers 4.35.0
  • Pytorch 2.0.1+cu117
  • Datasets 2.14.6
  • Tokenizers 0.14.1