roberta-base-legal-eu-legislation-downstream-eurlex

MHGanainy/roberta-base-legal-eu-legislation-downstream-eurlex

roberta-base-legal-eu-legislation-downstream-eurlex is a text classification model from MHGanainy. Use it when you need a label for a piece of text. It is set up for transformers.

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

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At a glance

Task: Text Classification
Library: transformers
Model type: roberta
Access: Public
Created: Aug 24, 2024
Updated: Aug 24, 2024
SHA: e37a94eb

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Base models

MHGanainy/roberta-base-legal-eu-legislation

Model card

From the Hugging Face model README

roberta-base-legal-eu-legislation-downstream-eurlex

This model is a fine-tuned version of MHGanainy/roberta-base-legal-eu-legislation on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0741
Macro-f1: 0.3538
Micro-f1: 0.7156

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: 3e-05
train_batch_size: 16
eval_batch_size: 16
seed: 1
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2.0
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Macro-f1	Micro-f1
0.0744	1.0	3438	0.0805	0.2964	0.6891
0.0606	2.0	6876	0.0741	0.3538	0.7156

Framework versions

Transformers 4.44.2
Pytorch 2.4.0+cu121
Datasets 2.21.0
Tokenizers 0.19.1

Task: Text Classification
Library: transformers
Type: roberta
Created: Aug 24, 2024
Updated: Aug 24, 2024