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whisper-distil-large-v3-ealb

Automatic Speech Recognition
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Albanian
whisper
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metadata
language:
  - sq
tags:
  - generated_from_trainer
base_model: distil-whisper/distil-large-v3
datasets:
  - ek9624/alb_spoken_ealbania
model-index:
  - name: Whisper Large Distil-v2 EALB
    results: []

Whisper Large EALB

This model is a fine-tuned version of distil-whisper/distil-large-v3 on the ek9624/alb_spoken_ealbania.

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: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • training_steps: 2634
  • mixed_precision_training: Native AMP

Training results

Framework versions

  • Transformers 4.41.0
  • Pytorch 2.2.1
  • Datasets 2.19.1
  • Tokenizers 0.19.1