tluo_xml_roberta_base_amazon_review_sentiment_v3

tlttl/tluo_xml_roberta_base_amazon_review_sentiment_v3

tluo_xml_roberta_base_amazon_review_sentiment_v3 is a text classification model from tlttl. 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: Oct 30, 2022
Updated: Oct 30, 2022
SHA: cbf3561f

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Model card

From the Hugging Face model README

tluo_xml_roberta_base_amazon_review_sentiment_v3

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: 0.9456
Accuracy: 0.6023

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: 8
seed: 123
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.056	0.33	5000	0.9885	0.5642
0.944	0.67	10000	0.9574	0.5913
0.9505	1.0	15000	0.9674	0.579
0.8902	1.33	20000	0.9660	0.5945
0.8851	1.67	25000	0.9470	0.5888
0.8714	2.0	30000	0.9456	0.6023
0.7967	2.33	35000	0.9662	0.5978
0.767	2.67	40000	0.9738	0.5987
0.7595	3.0	45000	0.9740	0.5988

Framework versions

Transformers 4.23.1
Pytorch 1.12.1+cu113
Tokenizers 0.13.1

Task: Text Classification
Library: transformers
Type: xlm-roberta
License: mit
Created: Oct 30, 2022
Updated: Oct 30, 2022