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whisper-small-wolof

Automatic Speech Recognition
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metadata
language:
  - wo
license: apache-2.0
tags:
  - generated_from_trainer
metrics:
  - wer
pipeline_tag: automatic-speech-recognition
base_model: cifope/whisper-small-wolof
model-index:
  - name: whisper-small-wolof
    results: []

whisper-small-wolof

This model is a fine-tuned version of cifope/whisper-small-wolof on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.501167
  • Wer: 27.1604

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

the model was trained on 9000 examples and tested on 1500 examples

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: 1000
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
0.0071 5.32 1000 0.501167 27.1604

Framework versions

  • Transformers 4.29.2
  • Pytorch 2.0.1+cu117
  • Datasets 2.12.0
  • Tokenizers 0.13.3