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metadata
license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - common_voice_11_0
model-index:
  - name: whisper-small-mongolian
    results: []
language:
  - mn
pipeline_tag: automatic-speech-recognition

whisper-small-mongolian

  • eval_loss: 0.0255
  • eval_wer: 3.9864
  • eval_runtime: 1588.8988
  • eval_samples_per_second: 1.17
  • eval_steps_per_second: 0.147
  • epoch: 2.3112
  • step: 1500

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: 1000
  • training_steps: 3000
  • mixed_precision_training: Native AMP

Framework versions

  • Transformers 4.40.1
  • Pytorch 2.2.1+cu121
  • Datasets 2.19.0
  • Tokenizers 0.19.1