whisper-base-af-za / README.md
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metadata
language:
  - af
license: apache-2.0
tags:
  - whisper-event
  - generated_from_trainer
datasets:
  - google/fleurs
model-index:
  - name: whisper-base-af-za-V4-Ari
    results: []

whisper-base-af-za-V4-Ari

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

  • eval_loss: 1.0084
  • eval_wer: 32.0267
  • eval_runtime: 152.7461
  • eval_samples_per_second: 6.154
  • eval_steps_per_second: 0.386
  • epoch: 51.14
  • step: 4500

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: 64
  • eval_batch_size: 16
  • 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: 5000
  • mixed_precision_training: Native AMP

Framework versions

  • Transformers 4.26.0.dev0
  • Pytorch 1.13.0+cu116
  • Datasets 2.8.1.dev0
  • Tokenizers 0.13.2