sudoping01 / bamarasper-large

huggingface.co
Total runs: 0
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30-day runs: 0
Model's Last Updated: January 11 2025

Introduction of bamarasper-large

Model Details of bamarasper-large

bamarasper-large

This model is a fine-tuned version of openai/whisper-large-v2 on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.7710
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: 8
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 32
  • 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
0.802 1.0 1062 0.8339
0.6385 2.0 2124 0.7577
0.488 3.0 3186 0.7136
0.4109 4.0 4248 0.6923
0.2838 5.0 5310 0.7161
0.1842 5.9948 6366 0.7710
Framework versions
  • PEFT 0.14.1.dev0
  • Transformers 4.49.0.dev0
  • Pytorch 2.5.1+cu124
  • Datasets 3.2.0
  • Tokenizers 0.21.0

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bamarasper-large install

bamarasper-large is an open source model from GitHub that offers a free installation service, and any user can find bamarasper-large on GitHub to install. At the same time, huggingface.co provides the effect of bamarasper-large install, users can directly use bamarasper-large installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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https://huggingface.co/sudoping01/bamarasper-large

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