rishikeshgautam/nepali-grammar-20250215_1706
04
<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->
nepali-grammar-20250215_1706
This model is a fine-tuned version of google/muril-base-cased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5204
- Accuracy: 0.796
- F1: 0.7708
- Precision: 0.8795
- Recall: 0.686
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: 3e-05
- trainbatchsize: 64
- evalbatchsize: 128
- seed: 42
- gradientaccumulationsteps: 2
- totaltrainbatch_size: 128
- optimizer: Use adamwtorchfused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lrschedulertype: linear
- lrschedulerwarmup_ratio: 0.1
- num_epochs: 3
- mixedprecisiontraining: Native AMP
Training results
Framework versions
- Transformers 4.47.0
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0
