Facebook_and_Twitter_Ohne_HPS

toasthans/Facebook_and_Twitter_Ohne_HPS

Facebook_and_Twitter_Ohne_HPS is a text classification model from toasthans. Use it when you need a label for a piece of text. 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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Hugging Face

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At a glance

Task: Text Classification
Library: transformers
License: mit
Model type: bert
Access: Public
Created: Mar 2, 2022
Updated: Dec 23, 2021
SHA: 11be27e2

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Model card

From the Hugging Face model README

Facebook_and_Twitter_Ohne_HPS

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: 0.9218
Accuracy: 0.8512

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: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.4364	1.0	713	0.4107	0.8302
0.2843	2.0	1426	0.4316	0.8495
0.0869	3.0	2139	0.7700	0.8558
0.0443	4.0	2852	0.9218	0.8512

Framework versions

Transformers 4.15.0
Pytorch 1.10.0+cu111
Datasets 1.17.0
Tokenizers 0.10.3

Task: Text Classification
Library: transformers
Type: bert
License: mit
Created: Mar 2, 2022
Updated: Dec 23, 2021