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whisper-large-v3-czech

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whisper-large-v3-czech / README.md
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metadata
language:
  - cs
license: apache-2.0
base_model: openai/whisper-large-v3
tags:
  - generated_from_trainer
datasets:
  - cobination
model-index:
  - name: Whisper large cs - jan_zizka
    results: []

Whisper large cs - jan_zizka

This model is a fine-tuned version of openai/whisper-large-v3 on the combined dataset. It achieves the following results on the evaluation set:

  • eval_loss: 0.1242
  • eval_wer: 11.3608
  • eval_runtime: 14167.2564
  • eval_samples_per_second: 0.624
  • eval_steps_per_second: 0.078
  • epoch: 0.3795
  • step: 1000

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: 16
  • eval_batch_size: 8
  • 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

Framework versions

  • Transformers 4.41.2
  • Pytorch 2.3.0+cu121
  • Datasets 2.19.2
  • Tokenizers 0.19.1