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whisper-large-v3-turbo-nepali

Automatic Speech Recognition
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metadata
library_name: transformers
language:
  - ne
license: mit
base_model: openai/whisper-large-v3-turbo
tags:
  - generated_from_trainer
datasets:
  - kiranpantha/OpenSLR54-Balanced-Nepali
model-index:
  - name: Whisper Medium - Kiran Pantha
    results: []

Whisper Medium - Kiran Pantha

This model is a fine-tuned version of openai/whisper-large-v3-turbo on the OpenSLR54 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: 5e-05
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 30
  • num_epochs: 2
  • mixed_precision_training: Native AMP

Framework versions

  • Transformers 4.45.1
  • Pytorch 2.4.0
  • Datasets 3.0.1
  • Tokenizers 0.20.0