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End of training
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metadata
license: mit
base_model: openai/whisper-large-v3-turbo
tags:
  - generated_from_trainer
metrics:
  - wer
model-index:
  - name: whisper-large-v3-turbo-ft-cv-cy-train-all-plus-other-with-excluded
    results: []

whisper-large-v3-turbo-ft-cv-cy-train-all-plus-other-with-excluded

This model is a fine-tuned version of openai/whisper-large-v3-turbo on the DewiBrynJones/commonvoice_18_0_cy train_all+other_with_excluded main dataset. It achieves the following results on the evaluation set:

  • Loss: 0.3134
  • Wer: 0.1746

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: 16
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 32
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • training_steps: 5000
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
0.2147 1.4144 1000 0.3066 0.2349
0.0989 2.8289 2000 0.2775 0.2072
0.0295 4.2433 3000 0.2935 0.1919
0.0109 5.6577 4000 0.3011 0.1828
0.0016 7.0721 5000 0.3134 0.1746

Framework versions

  • Transformers 4.44.0
  • Pytorch 2.4.0+cu121
  • Datasets 2.20.0
  • Tokenizers 0.19.1