whisper-medium-el / README.md
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metadata
language:
  - el
tags:
  - >-
    hf-asr-leaderboard, whisper-medium, mozilla-foundation/common_voice_11_0,
    greek, whisper-event
  - generated_from_trainer
datasets:
  - google/fleurs
model-index:
  - name: Whisper Medium El - Greek One
    results: []

Whisper Medium El - Greek One

This model is a fine-tuned version of openai/medium-medium on the Google FLEURS 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: 20
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 40
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • training_steps: 2000
  • mixed_precision_training: Native AMP

Framework versions

  • Transformers 4.26.0.dev0
  • Pytorch 1.14.0.dev20221206+cu116
  • Datasets 2.7.1.dev0
  • Tokenizers 0.13.2