gyr66/bert-base-chinese-finetuned-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. -->

bert-base-chinese-finetuned-ner

This model is a fine-tuned version of Danielwei0214/bert-base-chinese-finetuned-ner on the gyr66/privacy_detection dataset. It achieves the following results on the evaluation set:

• —Loss: 0.7929
• —Precision: 0.6532
• —Recall: 0.7417
• —F1: 0.6947
• —Accuracy: 0.9052

Model description

The model is used for competition: "https://www.datafountain.cn/competitions/472"

Training and evaluation data

The training and evaluation data is from gyr66/privacy_detection dataset.

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• —learning_rate: 2e-05
• —trainbatchsize: 56
• —evalbatchsize: 56
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear

Framework versions

• —Transformers 4.27.3
• —Pytorch 2.0.1+cu117
• —Datasets 2.14.5
• —Tokenizers 0.13.2