xlm-roberta-base-absa

tnatvu/xlm-roberta-base-absa

xlm-roberta-base-absa is a machine learning model from tnatvu. Use it for the machine learning task on the model card, and read the license before you ship it in a product. 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

Library: transformers
License: mit
Model type: xlm-roberta
Access: Public
Created: Jan 23, 2024
Updated: Jan 23, 2024
SHA: 287181a1

Base models

Model card

From the Hugging Face model README

xlm-roberta-base-absa

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: 0.1653
F1: 0.6384
F1 Macro: 0.6187

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: 5e-05
train_batch_size: 24
eval_batch_size: 24
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 6

Training results

Training Loss	Epoch	Step	Validation Loss	F1	F1 Macro
0.271	1.0	102	0.1841	0.3987	0.3050
0.1143	2.0	204	0.1321	0.5433	0.4849
0.0704	3.0	306	0.1464	0.5682	0.5350
0.0473	4.0	408	0.1463	0.6021	0.5772
0.0307	5.0	510	0.1571	0.6278	0.6003
0.0192	6.0	612	0.1653	0.6384	0.6187

Framework versions

Transformers 4.36.2
Pytorch 2.3.0.dev20240121
Datasets 2.16.1
Tokenizers 0.15.0

Library: transformers
Type: xlm-roberta
License: mit
Created: Jan 23, 2024
Updated: Jan 23, 2024