whisper-tiny-id / README.md
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metadata
license: apache-2.0
base_model: openai/whisper-tiny
tags:
  - generated_from_trainer
metrics:
  - wer
model-index:
  - name: whisper-tiny-id
    results: []

whisper-tiny-id

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

  • Loss: 0.5406
  • Wer: 108.0794

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
  • training_steps: 4000
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
0.3496 3.86 1000 0.4832 68.7427
0.1256 7.72 2000 0.4856 85.7807
0.0512 11.58 3000 0.5275 104.5165
0.0336 15.44 4000 0.5406 108.0794

Framework versions

  • Transformers 4.36.0
  • Pytorch 2.0.0
  • Datasets 2.16.1
  • Tokenizers 0.15.0