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Whisper small Hi - CKS 2411 graminVoice

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

  • Loss: 0.3893
  • Wer: 16.1932
  • Cer: 12.5576

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: 1.75e-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: 3000
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer Cer
0.0115 17.24 1000 0.3435 16.9823 13.1975
0.0004 34.48 2000 0.3805 16.4186 12.5888
0.0001 51.72 3000 0.3893 16.1932 12.5576

Framework versions

  • Transformers 4.36.0.dev0
  • Pytorch 2.1.0+cu118
  • Datasets 2.15.0
  • Tokenizers 0.15.0
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