Bert Finetuned Protagonist English

🚀 bert-finetuned-protagonist-english

This model is a fine - tuned version of Jean - Baptiste/roberta-large-ner-english on the None dataset. It can achieve high - precision results in relevant tasks, with specific evaluation metrics as follows.

🚀 Quick Start

This fine - tuned BERT model can be used for various NLP tasks. You can load and use it through the Hugging Face Transformers library.

📚 Documentation

Model Performance

It achieves the following results on the evaluation set:

• Loss: 0.0630
• Precision: 0.8646
• Recall: 0.8839
• F1: 0.8742
• Accuracy: 0.9876

Training and Evaluation

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 2e - 05
• train_batch_size: 8
• eval_batch_size: 8
• 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 4.16.2
• Pytorch 1.10.2+cu102
• Datasets 2.2.1
• Tokenizers 0.11.0