sentiment_bert_restaurant_10

pachequinho/sentiment_bert_restaurant_10

sentiment_bert_restaurant_10 is a text classification model from pachequinho. 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: Aug 29, 2023
Updated: Aug 29, 2023
SHA: 7edea393

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Base models

Model card

From the Hugging Face model README

sentiment_bert_restaurant_10

This model is a fine-tuned version of bert-base-cased on the pachequinho/restaurant_reviews dataset with only 10% of the training data. It achieves the following results on the evaluation set:

Loss: 0.0755
Accuracy: 0.9867

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: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	57	0.1644	0.9689
No log	2.0	114	0.0755	0.9867

Framework versions

Transformers 4.32.1
Pytorch 2.0.1+cu118
Datasets 2.14.4
Tokenizers 0.13.3

Task: Text Classification
Library: transformers
Type: bert
License: apache-2.0
Created: Aug 29, 2023
Updated: Aug 29, 2023