roberta-finetuned-ner-nergrit-9H

This model is a fine-tuned version of FacebookAI/xlm-roberta-large on the nergrit dataset. It achieves the following results on the evaluation set:

• Loss: 0.0982
• Precision: 0.9333
• Recall: 0.9402
• F1: 0.9368
• Accuracy: 0.9811

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: 2e-05
• train_batch_size: 4
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 8
• total_train_batch_size: 32
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	0.9995	471	0.0979	0.9354	0.9229	0.9291	0.9795
0.2005	1.9989	942	0.0967	0.9376	0.9356	0.9366	0.9811
0.0863	2.9984	1413	0.0982	0.9333	0.9402	0.9368	0.9811

Framework versions

• Transformers 4.42.4
• Pytorch 2.4.0+cu121
• Datasets 2.21.0
• Tokenizers 0.19.1