bert-xnli-de-classifier

gayanin/bert-xnli-de-classifier

bert-xnli-de-classifier is a text classification model from gayanin. 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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At a glance

Task: Text Classification
Library: transformers
License: mit
Model type: bert
Access: Public
Created: Mar 24, 2023
Updated: Mar 24, 2023
SHA: 80b60938

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Datasets

xnli

Model card

From the Hugging Face model README

bert-xnli-de-classifier

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

Loss: 0.5897
Accuracy: 0.7807

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: 64
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.554	1.0	6136	0.5783	0.7675
0.4946	2.0	12272	0.5471	0.7892
0.3416	3.0	18408	0.5897	0.7807

Framework versions

Transformers 4.27.3
Pytorch 1.13.1+cu116
Datasets 2.10.1
Tokenizers 0.13.2

Task: Text Classification
Library: transformers
Type: bert
License: mit
Created: Mar 24, 2023
Updated: Mar 24, 2023