whisperturbo / README.md
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metadata
library_name: peft
license: mit
base_model: openai/whisper-large-v3-turbo
tags:
  - generated_from_trainer
model-index:
  - name: whisperturbo
    results: []

whisperturbo

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

  • Loss: 0.4319

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: 0.001
  • train_batch_size: 50
  • eval_batch_size: 50
  • seed: 42
  • optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 50
  • training_steps: 751
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
0.9686 0.4870 150 0.6597
0.6634 0.9740 300 0.5482
0.5176 1.4610 450 0.5022
0.5383 1.9481 600 0.4719
0.4322 2.4351 750 0.4319

Framework versions

  • PEFT 0.14.0
  • Transformers 4.46.3
  • Pytorch 2.5.1+cu121
  • Datasets 3.1.0
  • Tokenizers 0.20.3