bert-base-german-cased-finetuned-subj_preTrained_with_noisyData

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

bert-base-german-cased-finetuned-subj_preTrained_with_noisyData 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: May 15, 2022
Updated: May 16, 2022
SHA: e42f0533

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Model card

From the Hugging Face model README

bert-base-german-cased-finetuned-subj_preTrained_with_noisyData

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: 0.0192
Precision: 0.9203
Recall: 0.8703
F1: 0.8946
Accuracy: 0.9939

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: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	1.0	245	0.0258	0.9172	0.7990	0.8540	0.9918
No log	2.0	490	0.0192	0.9203	0.8703	0.8946	0.9939

Framework versions

Transformers 4.19.1
Pytorch 1.11.0+cu113
Datasets 2.2.1
Tokenizers 0.12.1

Task: Token Classification
Library: transformers
Type: bert
License: mit
Created: May 15, 2022
Updated: May 16, 2022