xlm-roberta-base-Mixed-aug_replace_tfidf

ThuyNT03/xlm-roberta-base-Mixed-aug_replace_tfidf

xlm-roberta-base-Mixed-aug_replace_tfidf is a text classification model from ThuyNT03. 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: Aug 25, 2023
Updated: Aug 25, 2023
SHA: 6aabd7a8

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Base models

Model card

From the Hugging Face model README

xlm-roberta-base-Mixed-aug_replace_tfidf

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: 0.5179
Accuracy: 0.81
F1: 0.7668

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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.9881	1.0	87	0.8546	0.65	0.5591
0.8313	2.0	174	0.7615	0.72	0.6674
0.7276	3.0	261	0.8639	0.73	0.6723
0.6336	4.0	348	0.4902	0.81	0.7712
0.5361	5.0	435	0.5179	0.81	0.7668

Framework versions

Transformers 4.32.0
Pytorch 2.0.1+cu118
Datasets 2.14.4
Tokenizers 0.13.3

Task: Text Classification
Library: transformers
Type: xlm-roberta
License: mit
Created: Aug 25, 2023
Updated: Aug 25, 2023