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anuragshas/whisper-small-as

🤗 Hugging Face sourceautomatic-speech-recognitionapache-2.08.7 GBother✓ 5 checksumsupdated today
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Whisper Small Assamese

This model is a fine-tuned version of openai/whisper-small on the mozilla-foundation/common_voice_11_0 as dataset. It achieves the following results on the evaluation set:

  • Loss: 0.6033
  • Wer: 35.4990

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: 64
  • eval_batch_size: 32
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 40
  • training_steps: 400
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
1.0676 3.01 50 0.6487 62.5338
0.2252 6.03 100 0.3487 36.4916
0.0787 9.04 150 0.3934 35.6434
0.0178 13.01 200 0.5057 36.0043
0.0048 16.02 250 0.5589 35.8239
0.0022 19.04 300 0.5882 35.7336
0.0015 23.01 350 0.5985 35.5712
0.0013 26.02 400 0.6033 35.4990

Framework versions

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