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whisper-tiny-kor-16k-hf-ep1

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metadata
license: apache-2.0
base_model: openai/whisper-tiny
tags:
  - generated_from_trainer
model-index:
  - name: whisper-tiny-kor-16k-hf-ep1
    results: []

whisper-tiny-kor-16k-hf-ep1

This model is a fine-tuned version of openai/whisper-tiny on the None 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: 5e-05
  • train_batch_size: 128
  • 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: 500
  • num_epochs: 1
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Cer
No log 1.0 126 0.4488 254.5585

Framework versions

  • Transformers 4.36.2
  • Pytorch 2.0.1+cu117
  • Datasets 2.16.1
  • Tokenizers 0.15.0