xlm-roberta-helpdesk-sentiment

Venkatesh4342/xlm-roberta-helpdesk-sentiment

xlm-roberta-helpdesk-sentiment is a text classification model from Venkatesh4342. 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: Sep 10, 2023
Updated: Sep 10, 2023
SHA: 624b65c5

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Model card

From the Hugging Face model README

xlm-roberta-helpdesk-sentiment

This model is a fine-tuned version of xlm-roberta-base on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.1923
Accuracy: 0.9556
F1: 0.9549

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: 8
eval_batch_size: 2
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	Accuracy	F1
No log	0.88	100	0.4935	0.7889	0.7840
No log	1.77	200	0.2955	0.8889	0.8867
No log	2.65	300	0.1830	0.9111	0.9093
No log	3.54	400	0.1461	0.9444	0.9431
0.5007	4.42	500	0.1554	0.9556	0.9549
0.5007	5.31	600	0.1923	0.9556	0.9549

Framework versions

Transformers 4.28.1
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.13.3

Task: Text Classification
Library: transformers
Type: xlm-roberta
License: mit
Created: Sep 10, 2023
Updated: Sep 10, 2023