aspect_extraction_restaurant_reviews

jannikseus/aspect_extraction_restaurant_reviews

aspect_extraction_restaurant_reviews is a token classification model from jannikseus. Use it when you need labels on individual words, such as names. It is set up for transformers. The card lists the license as apache-2.0.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Token Classification
Library: transformers
License: apache-2.0
Model type: distilbert
Access: Public
Created: Aug 6, 2023
Updated: Aug 9, 2023
SHA: aa795e83

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Base models

Model card

From the Hugging Face model README

aspect_extraction_restaurant_reviews

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

Loss: 0.1048
Precision: 0.7375
Recall: 0.8194
F1: 0.7763
Accuracy: 0.9650

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: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	1.0	232	0.1149	0.6062	0.8125	0.6944	0.9500
No log	2.0	464	0.0942	0.7267	0.8125	0.7672	0.9630
0.1371	3.0	696	0.0981	0.7152	0.8194	0.7638	0.9638
0.1371	4.0	928	0.1048	0.7375	0.8194	0.7763	0.9650

Framework versions

Transformers 4.31.0
Pytorch 2.0.1+cu117
Datasets 2.14.2
Tokenizers 0.13.3

Task: Token Classification
Library: transformers
Type: distilbert
License: apache-2.0
Created: Aug 6, 2023
Updated: Aug 9, 2023