metadata
library_name: transformers
language:
- ne
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
datasets:
- NKRSubedi/Nepali-Large-Dataset-Clean
model-index:
- name: NKRSubedi/Nepali-Large-Model-Whisper-Small
results: []
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
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use 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: 5
- training_steps: 250
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.49.0
- Pytorch 2.6.0+cu124
- Datasets 3.2.0
- Tokenizers 0.21.1