leenag/Malasar_Luke

This model is a fine-tuned version of vasista22/whisper-tamil-small on the Spoken Bible Corpus: Malasar dataset. It achieves the following results on the evaluation set:

  • Loss: 0.5039
  • Wer: 51.9132

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: 32
  • eval_batch_size: 16
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • training_steps: 2000
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
0.0924 11.3636 250 0.2929 52.1416
0.0013 22.7273 500 0.4152 52.8270
0.0008 34.0909 750 0.4400 52.8841
0.0002 45.4545 1000 0.4761 52.1416
0.0001 56.8182 1250 0.4888 51.6276
0.0001 68.1818 1500 0.4970 51.9703
0.0001 79.5455 1750 0.5021 51.7990
0.0001 90.9091 2000 0.5039 51.9132

Framework versions

  • Transformers 4.41.2
  • Pytorch 2.0.1+cu117
  • Datasets 2.16.0
  • Tokenizers 0.19.1
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