vkhangpham/shopee-ner

<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->

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
• —trainbatchsize: 8
• —evalbatchsize: 8
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 2

Training results

Framework versions

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