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Whisper Small FIFA_commentary

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

  • Loss: 1.3180
  • Wer: 24.6006

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: 50
  • num_epochs: 5
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
5.3487 1.0 12 4.7958 46.0064
4.6559 2.0 24 3.5936 38.9776
3.5187 3.0 36 2.0147 30.3514
2.2037 4.0 48 1.4929 30.0319
1.054 5.0 60 1.3180 24.6006

Framework versions

  • Transformers 4.39.3
  • Pytorch 2.2.1+cu121
  • Datasets 2.18.0
  • Tokenizers 0.15.2
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8
Safetensors
Model size
242M params
Tensor type
F32
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Finetuned from

Dataset used to train jmcastelo17/whisper-small-FIFA-1

Evaluation results