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metadata
language:
  - mn
license: apache-2.0
base_model: openai/whisper-large
tags:
  - generated_from_trainer
model-index:
  - name: Whisper_Large_Mongolian
    results: []

Whisper_Large_Mongolian

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

  • eval_loss: 0.3309
  • eval_wer: 29.1925
  • eval_runtime: 1202.8614
  • eval_samples_per_second: 1.539
  • eval_steps_per_second: 0.193
  • epoch: 5.64
  • step: 3000

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: 500
  • training_steps: 4000
  • mixed_precision_training: Native AMP

Framework versions

  • Transformers 4.39.3
  • Pytorch 2.2.0
  • Datasets 2.18.0
  • Tokenizers 0.15.2