README.md

metadata

tags:
  - generated_from_trainer
metrics:
  - wer
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: 0.7506
• Wer: 37.5424

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: 1000
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.0055	5.32	1000	0.7506	37.5424

Framework versions

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