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dgx1_whisper_tiny_finetune_teacher_no_noise_mozilla_40_epochs_batch_32

This model is a fine-tuned version of openai/whisper-tiny.en on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.8362
  • Wer: 33.6328

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: 0.0005
  • train_batch_size: 32
  • eval_batch_size: 1
  • seed: 42
  • gradient_accumulation_steps: 32
  • total_train_batch_size: 1024
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine_with_restarts
  • lr_scheduler_warmup_ratio: 0.2
  • num_epochs: 40
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
0.5135 7.35 500 0.6979 36.6444
0.1026 14.7 1000 0.8056 35.3631
0.0074 22.06 1500 0.8321 34.1480
0.0004 29.41 2000 0.8341 33.6606
0.0003 36.76 2500 0.8362 33.6328

Framework versions

  • Transformers 4.25.1
  • Pytorch 1.12.1
  • Datasets 2.8.0
  • Tokenizers 0.13.2
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