yelp-dataset-finetuning-bert

AlyGreo/yelp-dataset-finetuning-bert

yelp-dataset-finetuning-bert is a text classification model from AlyGreo. Use it when you need a label for a piece of text. 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: Text Classification
Library: transformers
License: apache-2.0
Model type: bert
Access: Public
Created: Sep 30, 2024
Updated: Sep 30, 2024
SHA: b5c99cc3

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Base models

Model card

From the Hugging Face model README

yelp-dataset-finetuning-bert

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

Loss: 0.9648
Accuracy: 0.5735

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: 10
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
training_steps: 300

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.0667	0.1	100	1.1555	0.5195
1.0891	0.2	200	0.9845	0.5625
1.0064	0.3	300	0.9648	0.5735

Framework versions

Transformers 4.44.2
Pytorch 2.4.0
Datasets 3.0.0
Tokenizers 0.19.1

Task: Text Classification
Library: transformers
Type: bert
License: apache-2.0
Created: Sep 30, 2024
Updated: Sep 30, 2024