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WhisperTiny_Jordan_Test_1hr

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metadata
language:
  - ar
license: apache-2.0
base_model: openai/whisper-tiny
tags:
  - generated_from_trainer
model-index:
  - name: WhisperTiny_Jordan_Test_1hr
    results: []

WhisperTiny_Jordan_Test_1hr

This model is a fine-tuned version of openai/whisper-tiny on the None dataset. It achieves the following results on the evaluation set:

  • eval_loss: 1.0747
  • eval_wer: 126.3598
  • eval_runtime: 45.2512
  • eval_samples_per_second: 3.315
  • eval_steps_per_second: 0.221
  • epoch: 8.0
  • step: 216

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: 16
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • num_epochs: 25
  • mixed_precision_training: Native AMP

Framework versions

  • Transformers 4.35.2
  • Pytorch 2.1.0+cu121
  • Datasets 2.16.1
  • Tokenizers 0.15.0