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phunganhsang/xlm_70k_co_duoi

sourceHugging Facemitupdated 2y agoView on Hugging Face

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xlm70kco_vn

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

—Loss: 0.1934
—Accuracy: 0.9679
—F1: 0.9680

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
—trainbatchsize: 32
—evalbatchsize: 32
—seed: 42
—optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
—lrschedulertype: cosinewithrestarts
—num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.2054	1.0	1719	0.1449	0.9595	0.9599
0.1226	2.0	3438	0.1261	0.9638	0.9641
0.1038	3.0	5157	0.1055	0.9682	0.9684
0.0856	4.0	6876	0.1107	0.9676	0.9678
0.0732	5.0	8595	0.1240	0.9680	0.9680
0.0595	6.0	10314	0.1457	0.9679	0.9679
0.0494	7.0	12033	0.1931	0.9667	0.9668
0.0425	8.0	13752	0.1772	0.9672	0.9674
0.0375	9.0	15471	0.1867	0.9683	0.9684
0.034	10.0	17190	0.1934	0.9679	0.9680

Framework versions

—Transformers 4.41.2
—Pytorch 2.1.2
—Datasets 2.19.2
—Tokenizers 0.19.1