distilbert-base-german-cased-finetuned-ner

FabianWillner/distilbert-base-german-cased-finetuned-ner

distilbert-base-german-cased-finetuned-ner is a token classification model from FabianWillner. Use it when you need labels on individual words, such as names. It is set up for transformers. The card lists the license as apache-2.0.

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

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At a glance

Task: Token Classification
Library: transformers
License: apache-2.0
Model type: distilbert
Access: Public
Created: Mar 25, 2023
Updated: Mar 25, 2023
SHA: b55b1cd8

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Datasets

wikiann

Model card

From the Hugging Face model README

distilbert-base-german-cased-finetuned-ner

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

Loss: 0.1871
Precision: 0.8401
Recall: 0.8744
F1: 0.8569
Accuracy: 0.9548

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: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.1785	1.0	2500	0.1728	0.8134	0.8414	0.8271	0.9490
0.1252	2.0	5000	0.1743	0.8434	0.8659	0.8545	0.9545
0.0867	3.0	7500	0.1871	0.8401	0.8744	0.8569	0.9548

Framework versions

Transformers 4.27.3
Pytorch 2.0.0+cu118
Datasets 2.10.1
Tokenizers 0.13.2

Task: Token Classification
Library: transformers
Type: distilbert
License: apache-2.0
Created: Mar 25, 2023
Updated: Mar 25, 2023