NKRSubedi/checkpoints
03
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NKRSubedi/Nepali-Large-Model-Whisper-Small
This model is a fine-tuned version of openai/whisper-small on the Nepali-Large-Dataset-Clean dataset.
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
- trainbatchsize: 8
- evalbatchsize: 8
- seed: 42
- optimizer: Use adamwtorch with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
- lrschedulertype: linear
- lrschedulerwarmup_steps: 5
- training_steps: 250
- mixedprecisiontraining: Native AMP
Framework versions
- Transformers 4.49.0
- Pytorch 2.6.0+cu124
- Datasets 3.2.0
- Tokenizers 0.21.1
