bert-base-german-cased-fine-tuned-ner

schwimmbeck/bert-base-german-cased-fine-tuned-ner

bert-base-german-cased-fine-tuned-ner is a token classification model from schwimmbeck. Use it when you need labels on individual words, such as names. It is set up for transformers. The card lists the license as mit.

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

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At a glance

Task: Token Classification
Library: transformers
License: mit
Model type: bert
Access: Public
Created: May 4, 2022
Updated: May 5, 2022
SHA: 754708b8

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Datasets

germa_ner

Model card

From the Hugging Face model README

bert-base-german-cased-fine-tuned-ner

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

Loss: 0.0966
Precision: 0.8089
Recall: 0.8728
F1: 0.8397
Accuracy: 0.9749

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: 32
eval_batch_size: 32
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	Precision	Recall	F1	Accuracy
0.159	1.0	737	0.0922	0.7472	0.8461	0.7936	0.9703
0.0714	2.0	1474	0.0916	0.7886	0.8713	0.8279	0.9731
0.0319	3.0	2211	0.0966	0.8089	0.8728	0.8397	0.9749

Framework versions

Transformers 4.18.0
Pytorch 1.9.0+cu111
Datasets 2.1.0
Tokenizers 0.12.1

Task: Token Classification
Library: transformers
Type: bert
License: mit
Created: May 4, 2022
Updated: May 5, 2022