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whisper-diin-v3

Automatic Speech Recognition
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metadata
library_name: transformers
language:
  - fr
license: apache-2.0
base_model: deepdml/whisper-large-v3-turbo
tags:
  - generated_from_trainer
model-index:
  - name: Whisper Diin - Part 3
    results: []

Whisper Diin - Part 3

This model is a fine-tuned version of deepdml/whisper-large-v3-turbo on the None dataset.

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: Use OptimizerNames.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: 500
  • training_steps: 2000
  • mixed_precision_training: Native AMP

Training results

Framework versions

  • Transformers 4.50.0.dev0
  • Pytorch 2.4.0
  • Datasets 3.3.2
  • Tokenizers 0.21.0