xlm-roberta-base-som-noaug

Kuongan/xlm-roberta-base-som-noaug

xlm-roberta-base-som-noaug is a text classification model from Kuongan. 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: Feb 26, 2025
Updated: Feb 26, 2025
SHA: 11c02eba

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Base models

Model card

From the Hugging Face model README

xlm-roberta-base-som-noaug

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

Loss: 0.3066
F1: 0.3637
Roc Auc: 0.6383
Accuracy: 0.4788

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: 32
eval_batch_size: 32
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 100
num_epochs: 20

Training results

Training Loss	Epoch	Step	Validation Loss	F1	Roc Auc	Accuracy
0.3432	1.0	106	0.3461	0.0	0.5	0.3816
0.3258	2.0	212	0.3400	0.0	0.5	0.3816
0.3076	3.0	318	0.3131	0.0692	0.5230	0.4099
0.2959	4.0	424	0.3027	0.0745	0.5265	0.4046
0.2854	5.0	530	0.2920	0.2137	0.5712	0.4629
0.2715	6.0	636	0.2937	0.1736	0.5626	0.4576
0.233	7.0	742	0.3147	0.2084	0.5835	0.4594
0.2275	8.0	848	0.2829	0.2705	0.5963	0.4912
0.2052	9.0	954	0.2919	0.2695	0.6049	0.4735
0.186	10.0	1060	0.3022	0.2667	0.6142	0.4682
0.1805	11.0	1166	0.3008	0.3441	0.6314	0.4700
0.1808	12.0	1272	0.2973	0.3154	0.6202	0.4823
0.1516	13.0	1378	0.3045	0.3540	0.6412	0.4664
0.1532	14.0	1484	0.3053	0.3408	0.6302	0.4576
0.1466	15.0	1590	0.3000	0.3593	0.6400	0.4806
0.1373	16.0	1696	0.3056	0.3503	0.6358	0.4753
0.1343	17.0	1802	0.3054	0.3472	0.6336	0.4735
0.1326	18.0	1908	0.3053	0.3614	0.6376	0.4770
0.116	19.0	2014	0.3051	0.3635	0.6375	0.4788
0.1288	20.0	2120	0.3066	0.3637	0.6383	0.4788

Framework versions

Transformers 4.47.0
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0

Task: Text Classification
Library: transformers
Type: xlm-roberta
License: mit
Created: Feb 26, 2025
Updated: Feb 26, 2025