Cybonto Distilbert Base Uncased Finetuned Ner FewNerd

🚀 Cybonto-distilbert-base-uncased-finetuned-ner-FewNerd

This model is a fine - tuned variant of distilbert-base-uncased on the few_nerd dataset. It offers high - performance token classification capabilities, achieving excellent results in precision, recall, F1 score, and accuracy on the evaluation set.

🚀 Quick Start

This model is ready to be used for token - classification tasks right away. You can load it using the Hugging Face transformers library and start making predictions.

📚 Documentation

Model Information

Evaluation Results

This model achieves the following results on the evaluation set:

• Loss: 0.2091
• Precision: 0.7422
• Recall: 0.7830
• F1: 0.7621
• Accuracy: 0.9386

Training Procedure

Training Hyperparameters

The following hyperparameters were used during training:

• learning_rate: 2e - 05
• train_batch_size: 32
• eval_batch_size: 32
• seed: 42
• optimizer: Adam with betas=(0.9, 0.999) and epsilon = 1e - 08
• lr_scheduler_type: linear
• num_epochs: 5

Training Results

Framework Versions

• Transformers 4.18.0
• Pytorch 1.10.0+cu111
• Datasets 2.1.0
• Tokenizers 0.12.1

📄 License

This model is licensed under the Apache - 2.0 license.