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kiranpantha/whisper-large-v3-nepali

This model is a fine-tuned version of kiranpantha/whisper-large-v3-nepali on the OpenSLR54 dataset. It achieves the following results on the evaluation set:

  • Loss: 0.4135

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: 0.001
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 10
  • num_epochs: 10
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
No log 1.0 14 0.3783
0.5414 2.0 28 0.3666
0.5414 3.0 42 0.3630
0.1128 4.0 56 0.3761
0.1128 5.0 70 0.3991
0.0601 6.0 84 0.4439
0.0601 7.0 98 0.4124
0.0442 8.0 112 0.4095
0.0239 9.0 126 0.4067
0.0239 10.0 140 0.4135

Framework versions

  • PEFT 0.14.0
  • Transformers 4.47.1
  • Pytorch 2.5.1+cxx11.abi
  • Datasets 3.2.0
  • Tokenizers 0.21.0
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