shopee-ner

This model is a fine-tuned version of cahya/xlm-roberta-base-indonesian-NER on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.2046
• Precision: 0.7666
• Recall: 0.8666
• F1: 0.8135
• Accuracy: 0.9320

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: 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: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.2282	1.0	33750	0.2174	0.7443	0.8506	0.7939	0.9253
0.1983	2.0	67500	0.2046	0.7666	0.8666	0.8135	0.9320

Framework versions

• Transformers 4.15.0
• Pytorch 1.10.0+cu111
• Datasets 1.18.1
• Tokenizers 0.10.3