Yaxin/xlm-roberta-base-conll2003-ner

test-conll2003-ner

This model is a fine-tuned version of xlm-roberta-base on the conll2003 dataset. It achieves the following results on the evaluation set:

• Loss: 0.0470
• Precision: 0.9459
• Recall: 0.9537
• F1: 0.9498
• Accuracy: 0.9911

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: 5e-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: 3.0

Training results

Framework versions

• Transformers 4.18.0.dev0
• Pytorch 1.10.0
• Datasets 1.18.3
• Tokenizers 0.11.0