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metadata
language:
  - ig
license: apache-2.0
base_model: openai/whisper-small
tags:
  - generated_from_trainer
datasets:
  - google/fleurs
model-index:
  - name: Whisper Small Igbo
    results: []

Whisper Small Igbo

This model is a fine-tuned version of openai/whisper-small on the google/fleurs-jboat dataset. It achieves the following results on the evaluation set:

  • eval_loss: 1.1403
  • eval_wer_ortho: 47.1588
  • eval_wer: 42.9448
  • eval_runtime: 397.589
  • eval_samples_per_second: 2.437
  • eval_steps_per_second: 0.153
  • epoch: 37.0370
  • step: 7000

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: 16
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: constant_with_warmup
  • lr_scheduler_warmup_steps: 50
  • training_steps: 8000
  • mixed_precision_training: Native AMP

Framework versions

  • Transformers 4.42.4
  • Pytorch 2.3.1+cu121
  • Datasets 2.20.0
  • Tokenizers 0.19.1