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ihanif/whisper-medium-pashto-3e-7

🤗 Hugging Face sourceautomatic-speech-recognitionapache-2.024 GBother✓ 15 checksumsupdated today
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openai/whisper-medium

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

  • Loss: 1.0063
  • Wer: 63.1053

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: 3e-07
  • train_batch_size: 32
  • eval_batch_size: 16
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 64
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 10
  • training_steps: 700
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
1.4728 14.29 100 1.4429 83.5942
1.0344 28.57 200 1.1584 69.9706
0.9318 42.86 300 1.1061 67.8394
0.8882 57.14 400 1.0769 66.4290
0.8609 71.43 500 1.0575 66.1965
0.8262 85.71 600 1.0214 63.6274
0.7989 100.0 700 1.0063 63.1053

Framework versions

  • Transformers 4.26.0.dev0
  • Pytorch 1.13.0+cu117
  • Datasets 2.7.1.dev0
  • Tokenizers 0.13.2