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whisper-tiny.en-finetuned

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metadata
license: apache-2.0
tags:
  - generated_from_trainer
base_model: openai/whisper-tiny.en
model-index:
  - name: whisper-tiny.en-finetuned
    results: []

whisper-tiny.en-finetuned

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

  • eval_loss: 1.3394
  • eval_wer: 0.5
  • eval_runtime: 51.3485
  • eval_samples_per_second: 3.895
  • eval_steps_per_second: 0.136
  • epoch: 3.8
  • step: 190

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-06
  • train_batch_size: 16
  • eval_batch_size: 32
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 20
  • training_steps: 1000
  • mixed_precision_training: Native AMP

Framework versions

  • Transformers 4.39.3
  • Pytorch 2.2.2+cu121
  • Datasets 2.14.5
  • Tokenizers 0.15.2