xlm-roberta-base-ptbr-noaug

Kuongan/xlm-roberta-base-ptbr-noaug

xlm-roberta-base-ptbr-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: b2ef425f

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Base models

Model card

From the Hugging Face model README

xlm-roberta-base-ptbr-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: 0.3273
F1: 0.3798
Roc Auc: 0.6496
Accuracy: 0.53

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
0.4782	1.0	70	0.3782	0.0	0.5	0.23
0.3652	2.0	140	0.3592	0.0199	0.5048	0.24
0.325	3.0	210	0.3345	0.1927	0.5670	0.43
0.2995	4.0	280	0.3234	0.1661	0.5618	0.43
0.2697	5.0	350	0.3074	0.2687	0.5991	0.49
0.2196	6.0	420	0.3044	0.2813	0.6045	0.5
0.2299	7.0	490	0.3074	0.3031	0.6174	0.515
0.2013	8.0	560	0.3144	0.2920	0.6095	0.515
0.186	9.0	630	0.3126	0.3074	0.6243	0.51
0.1621	10.0	700	0.3282	0.3033	0.6221	0.49
0.154	11.0	770	0.3140	0.3494	0.6374	0.535
0.1304	12.0	840	0.3262	0.3422	0.6406	0.505
0.1308	13.0	910	0.3207	0.3510	0.6353	0.52
0.1204	14.0	980	0.3253	0.3476	0.6394	0.525
0.1073	15.0	1050	0.3200	0.3707	0.6456	0.505
0.1145	16.0	1120	0.3290	0.3582	0.6401	0.51
0.1073	17.0	1190	0.3242	0.3758	0.6481	0.525
0.1022	18.0	1260	0.3273	0.3798	0.6496	0.53
0.0987	19.0	1330	0.3271	0.3759	0.6476	0.52
0.0982	20.0	1400	0.3270	0.3776	0.6490	0.52

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