KannaBERT-xl
This model is a pretrained model on the Kannada IndicCorp dataset.
It achieves the following results on the evaluation set:
Model description
General pretrained TinyBERT model for Kannada (kn).
Training and evaluation data
Used 4.9GB IndicCorp data for pretraining. Model is not finetuned.
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- 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_ratio: 0.05
- num_epochs: 1.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|
| 4.0098 | 1.0 | 590626 | 3.8378 |
Framework versions
- Transformers 4.49.0
- Pytorch 2.5.1
- Datasets 2.19.1
- Tokenizers 0.21.0
