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AqeelShafy7/Whisper-Sinhala_Audio_to_Text

🤗 Hugging Face sourceautomatic-speech-recognitionapache-2.0242M params967 MBsafetensors✓ 3 checksumsupdated today
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Whisper-Sinhala_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: 0.9038
  • Wer: 50.0822

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: 50

Training results

Training Loss Epoch Step Validation Loss Wer
0.0665 4.76 1000 0.5398 57.8125
0.0096 9.52 2000 0.6716 56.2089
0.0037 14.29 3000 0.7457 52.7549
0.0005 19.05 4000 0.8000 51.1513
0.002 23.81 5000 0.8057 51.6859
0.0005 28.57 6000 0.8150 50.3289
0.0005 33.33 7000 0.8445 51.0280
0.0 38.1 8000 0.8773 50.1234
0.0 42.86 9000 0.8944 50.1234
0.0 47.62 10000 0.9038 50.0822

Framework versions

  • Transformers 4.38.2
  • Pytorch 2.2.1+cu121
  • Datasets 2.18.0
  • Tokenizers 0.15.2