Monolingual-Odia-NER-Model
This model is developed by fine-tuning XLM-Roberta-Base on the NER-Dataset.
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 4
- eval_batch_size: 4
- optimizer: Adam
- lr_scheduler_type: linear
- num_epochs: 10.0
Framework versions
- Transformers 4.38.2
- Pytorch 1.9.1
- Datasets 2.14.6
- Tokenizers 0.15.0
- Downloads last month
- 28
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.