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AqeelShafy7/AudioSangraha-Audio_to_Text

🤗 Hugging Face sourceautomatic-speech-recognitionapache-2.0242M params967 MBsafetensors✓ 3 checksumsupdated today
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AudioSangraha-Audio_to_Text

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: 0.3071
  • Wer: 52.3227

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: 8
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 16
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • num_epochs: 10

Training results

Training Loss Epoch Step Validation Loss Wer
0.1036 3.91 1000 0.2257 55.1779
0.007 7.81 2000 0.3071 52.3227

Framework versions

  • Transformers 4.37.2
  • Pytorch 2.1.0+cu121
  • Datasets 2.17.0
  • Tokenizers 0.15.1