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imasc_openslr_festfox

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

  • Loss: 0.0572
  • Wer: 28.1413

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: 1000
  • training_steps: 6000
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
0.0795 0.41 1000 0.1409 60.0398
0.0494 0.82 2000 0.0887 43.3441
0.0272 1.23 3000 0.0731 37.3227
0.0187 1.64 4000 0.0653 34.3867
0.0089 2.06 5000 0.0583 29.8333
0.0093 2.47 6000 0.0572 28.1413

Framework versions

  • Transformers 4.37.2
  • Pytorch 2.1.1+cu121
  • Datasets 2.16.1
  • Tokenizers 0.15.1
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Finetuned from

Space using vrclc/Whisper_small_malayalam 1

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