bert-base-chinese-finetuned-ner_0301_J_DATA

morganchen1007/bert-base-chinese-finetuned-ner_0301_J_DATA

bert-base-chinese-finetuned-ner_0301_J_DATA is a token classification model from morganchen1007. Use it when you need labels on individual words, such as names. It is set up for transformers. The card lists the license as gpl-3.0.

should probably proofread and complete it, then remove this comment. --

Downloads · 30 days

2% of all-time downloads

All-time downloads

428

Public

Repo size

7.7 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.bin407 MB · 100%

At a glance

Task: Token Classification
Library: transformers
License: gpl-3.0
Model type: bert
Access: Public
Created: Mar 1, 2023
Updated: Mar 2, 2023
SHA: 2b9ede56

Try a prompt

Model card

From the Hugging Face model README

bert-base-chinese-finetuned-ner_0301_J_DATA

This model is a fine-tuned version of ckiplab/bert-base-chinese-ner on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.0764
Precision: 0.9663
Recall: 0.9708
F1: 0.9685
Accuracy: 0.9925

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: 2
eval_batch_size: 2
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 15

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.3872	1.0	705	0.1222	0.9088	0.9311	0.9198	0.9781
0.0732	2.0	1410	0.0642	0.9303	0.9509	0.9405	0.9900
0.034	3.0	2115	0.0588	0.9616	0.9661	0.9639	0.9909
0.0267	4.0	2820	0.0631	0.9639	0.9673	0.9656	0.9925
0.0232	5.0	3525	0.0617	0.9630	0.9720	0.9674	0.9924
0.017	6.0	4230	0.0652	0.9674	0.9708	0.9691	0.9926
0.0123	7.0	4935	0.0573	0.9618	0.9720	0.9669	0.9923
0.009	8.0	5640	0.0667	0.9651	0.9696	0.9674	0.9922
0.0055	9.0	6345	0.0768	0.9640	0.9696	0.9668	0.9925
0.0045	10.0	7050	0.0775	0.9662	0.9696	0.9679	0.9925
0.004	11.0	7755	0.0753	0.9606	0.9685	0.9645	0.9923
0.0018	12.0	8460	0.0735	0.9629	0.9696	0.9662	0.9925
0.0019	13.0	9165	0.0754	0.9663	0.9708	0.9685	0.9927
0.0019	14.0	9870	0.0760	0.9651	0.9696	0.9674	0.9925
0.0013	15.0	10575	0.0764	0.9663	0.9708	0.9685	0.9925

Framework versions

Transformers 4.20.1
Pytorch 1.13.0+cu117
Datasets 2.8.0
Tokenizers 0.12.1

Task: Token Classification
Library: transformers
Type: bert
License: gpl-3.0
Created: Mar 1, 2023
Updated: Mar 2, 2023