xlm_45k_boduoi_test10k

ttqdunggg/xlm_45k_boduoi_test10k

xlm_45k_boduoi_test10k is a machine learning model from ttqdunggg. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.

should probably proofread and complete it, then remove this comment. --

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At a glance

License: mit
Model type: xlm-roberta
Access: Public
Created: Mar 11, 2026
Updated: Mar 11, 2026
SHA: ec5ebb75

Base models

FacebookAI/xlm-roberta-base

Model card

From the Hugging Face model README

xlm_45k_boduoi_test10k

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

Loss: 0.4337
Accuracy: 0.8679
F1: 0.8700

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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine_with_restarts
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.5125	1.0	1652	0.3698	0.8422	0.8422
0.392	2.0	3304	0.3492	0.8312	0.8346
0.3404	3.0	4956	0.3130	0.8589	0.8614
0.3005	4.0	6608	0.3370	0.8610	0.8634
0.2628	5.0	8260	0.3190	0.8644	0.8666
0.2264	6.0	9912	0.3328	0.8729	0.8742
0.2003	7.0	11564	0.3877	0.8706	0.8725
0.1773	8.0	13216	0.4045	0.8712	0.8732
0.1633	9.0	14868	0.4376	0.8685	0.8706
0.1595	10.0	16520	0.4337	0.8679	0.8700

Framework versions

Transformers 4.37.2
Pytorch 2.1.2
Datasets 2.19.2
Tokenizers 0.15.2

Type: xlm-roberta
License: mit
Created: Mar 11, 2026
Updated: Mar 11, 2026