RuleBert-v0.1-k0

ribesstefano/RuleBert-v0.1-k0

RuleBert-v0.1-k0 is a text classification model from ribesstefano. 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: xlm-roberta
Access: Public
Created: Jan 7, 2024
Updated: Jan 7, 2024
SHA: e160645a

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Base models

classla/xlm-roberta-base-multilingual-text-genre-classifier

Model card

From the Hugging Face model README

ribesstefano/RuleBert-v0.1-k0

This model is a fine-tuned version of classla/xlm-roberta-base-multilingual-text-genre-classifier on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.3765
F1: 0.5087
Roc Auc: 0.6757
Accuracy: 0.0333

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: 4
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
training_steps: 4000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	F1	Roc Auc	Accuracy
0.3621	0.14	250	0.3791	0.4861	0.6678	0.0458
0.3199	0.28	500	0.3754	0.4969	0.6730	0.0375
0.3135	0.41	750	0.3785	0.4965	0.6715	0.0458
0.3176	0.55	1000	0.3755	0.4988	0.6725	0.0333
0.3056	0.69	1250	0.3734	0.5100	0.6756	0.0667
0.3016	0.83	1500	0.3749	0.5076	0.6755	0.0333
0.3044	0.97	1750	0.3763	0.5014	0.6738	0.0125
0.3009	1.11	2000	0.3781	0.5073	0.6751	0.0333
0.3044	1.24	2250	0.3782	0.5089	0.6755	0.0417
0.2979	1.38	2500	0.3770	0.5047	0.6745	0.0167
0.2977	1.52	2750	0.3772	0.5114	0.6764	0.0417
0.2998	1.66	3000	0.3747	0.5107	0.6762	0.0375
0.2916	1.8	3250	0.3741	0.5096	0.6758	0.0375
0.3107	1.94	3500	0.3757	0.5056	0.6748	0.0208
0.3023	2.07	3750	0.3767	0.5069	0.6752	0.025
0.3069	2.21	4000	0.3765	0.5087	0.6757	0.0333

Framework versions

Transformers 4.36.2
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.0

Task: Text Classification
Library: transformers
Type: xlm-roberta
License: mit
Created: Jan 7, 2024
Updated: Jan 7, 2024