sudoping01 / whosper-large-2

huggingface.co
Total runs: 14
24-hour runs: 0
7-day runs: 0
30-day runs: 0
Model's Last Updated: January 06 2025

Introduction of whosper-large-2

Model Details of whosper-large-2

whosper-large-2

This model is a fine-tuned version of openai/whisper-large-v2 on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 1.1440
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-06
  • train_batch_size: 16
  • eval_batch_size: 8
  • 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
  • num_epochs: 6
  • mixed_precision_training: Native AMP
Training results
Training Loss Epoch Step Validation Loss
1.5213 1.0 3463 1.4558
1.2791 2.0 6926 1.2866
1.228 3.0 10389 1.2132
1.1614 4.0 13852 1.1713
1.1614 5.0 17315 1.1513
1.1496 6.0 20778 1.1440
Framework versions
  • PEFT 0.14.1.dev0
  • Transformers 4.48.0.dev0
  • Pytorch 2.5.1+cu124
  • Datasets 3.2.0
  • Tokenizers 0.21.0

Runs of sudoping01 whosper-large-2 on huggingface.co

14
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24-hour runs
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3-day runs
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7-day runs
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https://huggingface.co/sudoping01/whosper-large-2

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whosper-large-2 install

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https://huggingface.co/sudoping01/whosper-large-2

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