repo_name

This model is a fine-tuned version of openai/whisper-base on the debugged_03_Whisper_datasets dataset. It achieves the following results on the evaluation set:

  • Loss: 1.6540
  • Cer: 32.5714

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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • training_steps: 4000
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Cer
0.0001 500.0 1000 1.4956 32.5714
0.0001 1000.0 2000 1.5831 36.0
0.0 1500.0 3000 1.6306 32.5714
0.0 2000.0 4000 1.6540 32.5714

Framework versions

  • Transformers 4.46.2
  • Pytorch 2.0.1
  • Datasets 3.1.0
  • Tokenizers 0.20.3
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