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PaschalK
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whisper-swahili-small

Automatic Speech Recognition
Transformers
PyTorch
whisper
Generated from Trainer
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whisper-swahili-small / README.md
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metadata
license: apache-2.0
base_model: PaschalK/swahili-whisper-small
tags:
  - generated_from_trainer
metrics:
  - wer
model-index:
  - name: whisper-swahili-small
    results: []

whisper-swahili-small

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

  • Loss: 0.3392
  • Wer: 24.1789

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: 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

Training results

Training Loss Epoch Step Validation Loss Wer
0.2967 0.43 1000 0.4357 29.2499
0.2754 0.87 2000 0.3660 24.9526
0.1482 1.3 3000 0.3488 24.8468
0.1358 1.74 4000 0.3392 24.1789

Framework versions

  • Transformers 4.33.0.dev0
  • Pytorch 2.0.1+cu117
  • Datasets 2.14.3
  • Tokenizers 0.13.3