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model-medium-Punjabi-3-0-2000-1e-06-8-8-1000

This model is a fine-tuned version of openai/whisper-small on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set:

  • Loss: 0.9100
  • Bleu: 34.5031

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-06
  • train_batch_size: 8
  • 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: 200
  • training_steps: 2000
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Bleu
0.941 0.97 1000 0.9651 32.9342
0.8558 1.94 2000 0.9100 34.5031

Framework versions

  • Transformers 4.35.2
  • Pytorch 2.1.1+cu118
  • Datasets 2.15.0
  • Tokenizers 0.15.0
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Safetensors
Model size
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F32
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Finetuned from

Dataset used to train zsy12345/w-train-medium-Punjabi-3-0-2000-1e-06-8-8-1000

Evaluation results