slurp-intent_baseline-xlm_r-en

cartesinus/slurp-intent_baseline-xlm_r-en

slurp-intent_baseline-xlm_r-en is a text classification model from cartesinus. 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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Model card

From the Hugging Face model README

slurp-intent_baseline-xlm_r-en

This model is a fine-tuned version of xlm-roberta-base on an SLURP dataset.

It achieves the following results on the test set:

Loss: 0.68222
Accuracy: 0.8746
F1: 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: 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: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
2.9687	1.0	720	1.3267	0.6955	0.6955
1.4534	2.0	1440	0.8053	0.8219	0.8219
0.6775	3.0	2160	0.6912	0.8421	0.8421
0.5624	4.0	2880	0.6377	0.8623	0.8623
0.3756	5.0	3600	0.6188	0.8746	0.8746
0.3346	6.0	4320	0.6548	0.8711	0.8711
0.2541	7.0	5040	0.6618	0.8751	0.8751
0.2243	8.0	5760	0.6662	0.8780	0.8780
0.212	9.0	6480	0.6673	0.8810	0.8810
0.1664	10.0	7200	0.6783	0.8810	0.8810

Framework versions

Transformers 4.28.1
Pytorch 2.0.0+cu118
Datasets 2.11.0
Tokenizers 0.13.3

Task: Text Classification
Library: transformers
Type: xlm-roberta
License: mit
Created: Apr 27, 2023
Updated: Jun 12, 2023