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metadata
license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - PolyAI/minds14
model-index:
  - name: whisper-tiny-en-minds14
    results: []

whisper-tiny-en-minds14

This model is a fine-tuned version of openai/whisper-tiny on the PolyAI/minds14 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: 4
  • eval_batch_size: 4
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 16
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: constant_with_warmup
  • lr_scheduler_warmup_steps: 50
  • training_steps: 10

Training results

Training Loss Epoch Step Validation Loss Wer Ortho Wer
No log 0.36 10 4.1621 0.5145 0.3678

Framework versions

  • Transformers 4.30.2
  • Pytorch 2.0.1+cu118
  • Datasets 2.13.1
  • Tokenizers 0.13.3