bert-base-german-cased-finetuned-subj_v4

tbosse/bert-base-german-cased-finetuned-subj_v4

bert-base-german-cased-finetuned-subj_v4 is a token classification model from tbosse. 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: Apr 7, 2022
Updated: Apr 7, 2022
SHA: 30ed58de

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Model card

From the Hugging Face model README

bert-base-german-cased-finetuned-subj_v4

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

Loss: 0.3626
Precision: 0.6308
Recall: 0.4489
F1: 0.5245
Accuracy: 0.8579

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: 16
eval_batch_size: 16
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
No log	1.0	32	0.3626	0.6308	0.4489	0.5245	0.8579
No log	2.0	64	0.3626	0.6308	0.4489	0.5245	0.8579
No log	3.0	96	0.3626	0.6308	0.4489	0.5245	0.8579

Framework versions

Transformers 4.18.0
Pytorch 1.10.0+cu111
Datasets 2.0.0
Tokenizers 0.11.6

Task: Token Classification
Library: transformers
Type: bert
License: mit
Created: Apr 7, 2022
Updated: Apr 7, 2022