bert-base-multilingual-cased-finetuned-klue-ner

This model is a fine-tuned version of bert-base-multilingual-cased on the klue dataset. It achieves the following results on the evaluation set:

• Loss: 0.1330
• F1: 0.8832

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: 16
• eval_batch_size: 16
• seed: 42
• 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	F1
0.17	1.0	1313	0.1354	0.8581
0.0843	2.0	2626	0.1250	0.8787
0.0492	3.0	3939	0.1330	0.8832

Framework versions

• Transformers 4.28.1
• Pytorch 2.0.0+cu118
• Datasets 2.12.0
• Tokenizers 0.13.3