Finetuned-Roberta-Base-Sentiment-classifier

gArthur98/Finetuned-Roberta-Base-Sentiment-classifier

Finetuned-Roberta-Base-Sentiment-classifier is a text classification model from gArthur98. 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: roberta
Access: Public
Created: Jul 23, 2023
Updated: Jul 23, 2023
SHA: eb70e662

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Base models

Model card

From the Hugging Face model README

Finetuned-Roberta-Base-Sentiment-classifier

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

Loss: 0.8100
F1: 0.6407

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: 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: 3

Training results

Training Loss	Epoch	Step	Validation Loss	F1
0.8752	0.5	500	0.8068	0.6412
0.831	1.0	1000	0.8182	0.6421
0.859	1.5	1500	0.8009	0.6430
0.7984	2.01	2000	0.8098	0.6403
0.7948	2.51	2500	0.8100	0.6407

Framework versions

Transformers 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3

Task: Text Classification
Library: transformers
Type: roberta
License: mit
Created: Jul 23, 2023
Updated: Jul 23, 2023