jobBERT-de_tc_professions_debates

johannabi/jobBERT-de_tc_professions_debates

jobBERT-de_tc_professions_debates is a token classification model from johannabi. Use it when you need labels on individual words, such as names. It is set up for transformers. The card lists the license as cc-by-nc-sa-4.0.

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

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At a glance

Task: Token Classification
Library: transformers
License: cc-by-nc-sa-4.0
Model type: bert
Access: Public
Created: Jan 23, 2024
Updated: Jan 23, 2024
SHA: a0f94e36

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Model card

From the Hugging Face model README

jobBERT-de_tc_professions_debates

This model is a fine-tuned version of agne/jobBERT-de on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.0581
Precision: 0.9648
Recall: 0.9481
F1: 0.9564
Accuracy: 0.9924

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: 5e-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: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	1.0	31	0.0394	0.9430	0.9538	0.9484	0.9909
No log	2.0	62	0.0462	0.9222	0.9577	0.9396	0.9897
No log	3.0	93	0.0556	0.9556	0.9519	0.9538	0.9919
No log	4.0	124	0.0604	0.9647	0.9462	0.9553	0.9924
No log	5.0	155	0.0581	0.9648	0.9481	0.9564	0.9924

Framework versions

Transformers 4.28.0
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.13.3

Task: Token Classification
Library: transformers
Type: bert
License: cc-by-nc-sa-4.0
Created: Jan 23, 2024
Updated: Jan 23, 2024