whisper-small-ar / README.md
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metadata
language:
  - ar
license: apache-2.0
tags:
  - hf-ast-leaderboard
  - generated_from_trainer
metrics:
  - wer
model-index:
  - name: Whisper Small arb - GP
    results: []

Whisper Small arb - GP

This model is a fine-tuned version of openai/whisper-small on the Dialect Arabic dataset. It achieves the following results on the evaluation set:

  • Loss: 2.1489
  • Wer: 110.7984

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: 8
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 16
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • training_steps: 4000
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
1.9933 1.89 1000 2.0970 125.2555
1.3119 3.79 2000 1.9818 113.1290
0.7643 5.68 3000 2.0559 115.4176
0.5144 7.58 4000 2.1489 110.7984

Framework versions

  • Transformers 4.26.0.dev0
  • Pytorch 1.11.0
  • Datasets 2.1.0
  • Tokenizers 0.12.1