xlm-roberta-base-tat-noaug

Kuongan/xlm-roberta-base-tat-noaug

xlm-roberta-base-tat-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: 8dc9cfbd

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Base models

Model card

From the Hugging Face model README

xlm-roberta-base-tat-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: 0.2840
F1: 0.5056
Roc Auc: 0.7198
Accuracy: 0.58

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
0.7082	1.0	32	0.6681	0.0563	0.5	0.0
0.5103	2.0	64	0.3983	0.0	0.5	0.16
0.3937	3.0	96	0.3967	0.0	0.5	0.16
0.3863	4.0	128	0.3996	0.0	0.5	0.16
0.368	5.0	160	0.3604	0.1159	0.5527	0.24
0.3345	6.0	192	0.3290	0.2036	0.5791	0.315
0.3123	7.0	224	0.3166	0.2215	0.5865	0.32
0.2906	8.0	256	0.3117	0.3184	0.6347	0.44
0.2629	9.0	288	0.3097	0.3001	0.6186	0.4
0.2414	10.0	320	0.2926	0.4225	0.6743	0.485
0.2206	11.0	352	0.2947	0.4208	0.6796	0.505
0.1996	12.0	384	0.2882	0.4328	0.6861	0.545
0.1875	13.0	416	0.2820	0.4593	0.6988	0.54
0.1862	14.0	448	0.2852	0.4764	0.7050	0.555
0.1764	15.0	480	0.2903	0.4771	0.7085	0.565
0.1699	16.0	512	0.2897	0.4750	0.7103	0.56
0.1611	17.0	544	0.2894	0.4848	0.7114	0.56
0.1607	18.0	576	0.2840	0.5056	0.7198	0.58
0.1599	19.0	608	0.2861	0.5020	0.7184	0.575
0.1498	20.0	640	0.2859	0.5009	0.7178	0.57

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