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whisper-tiny-ne

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metadata
language:
  - ne
license: apache-2.0
base_model: openai/whisper-tiny
tags:
  - generated_from_trainer
datasets:
  - openslr/openslr
model-index:
  - name: Whisper Tiny Nepali - Kiran Pantha
    results: []

Whisper Tiny Nepali - Kiran Pantha

This model is a fine-tuned version of openai/whisper-tiny on the OpenSLR54 dataset. It achieves the following results on the evaluation set:

  • eval_loss: 1.0636
  • eval_wer: 88.4892
  • eval_runtime: 84.1932
  • eval_samples_per_second: 2.815
  • eval_steps_per_second: 0.356
  • epoch: 20.0
  • step: 700

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
  • lr_scheduler_warmup_steps: 100
  • training_steps: 1000
  • mixed_precision_training: Native AMP

Framework versions

  • Transformers 4.44.0
  • Pytorch 2.3.1+cu121
  • Datasets 2.20.0
  • Tokenizers 0.19.1