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dsfsi
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whisper-large-lwazi-multilingual

Automatic Speech Recognition
Transformers
Safetensors
multilingual
whisper
Generated from Trainer
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whisper-large-lwazi-multilingual / README.md
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metadata
library_name: transformers
language:
  - multilingual
license: apache-2.0
base_model: openai/whisper-large
tags:
  - generated_from_trainer
datasets:
  - dsfsi/multilingual_lwazi_trained_dataset
model-index:
  - name: whisper-large
    results: []

whisper-large

This model is a fine-tuned version of openai/whisper-large on the dsfsi/multilingual_lwazi_trained_dataset 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: 8
  • 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: 150
  • training_steps: 1500

Training results

Framework versions

  • Transformers 4.53.0
  • Pytorch 2.5.1+cu121
  • Datasets 3.6.0
  • Tokenizers 0.21.2