xlm_2

NawinCom/xlm_2

xlm_2 is a text classification model from NawinCom. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as cc-by-sa-4.0.

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

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At a glance

Task: Text Classification
Library: transformers
License: cc-by-sa-4.0
Model type: xlm-roberta
Access: Public
Created: Mar 11, 2023
Updated: Mar 11, 2023
SHA: 8212a3b9

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Model card

From the Hugging Face model README

xlm_2

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

Loss: 0.4441
Accuracy: 0.8746

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: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	0.02	200	0.4441	0.8746
No log	0.05	400	0.6870	0.5556
0.6128	0.07	600	0.6872	0.5556
0.6128	0.09	800	0.6870	0.5556
0.6922	0.12	1000	0.6881	0.5556
0.6922	0.14	1200	0.6873	0.5556

Framework versions

Transformers 4.26.1
Pytorch 1.13.1+cu116
Datasets 2.10.1
Tokenizers 0.13.2

Task: Text Classification
Library: transformers
Type: xlm-roberta
License: cc-by-sa-4.0
Created: Mar 11, 2023
Updated: Mar 11, 2023