Roberta-Sentiment-Classifier

reginandcrabbe/Roberta-Sentiment-Classifier

Roberta-Sentiment-Classifier is a text classification model from reginandcrabbe. 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: Oct 31, 2023
Updated: Nov 3, 2023
SHA: d1be04f9

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From the Hugging Face model README

Roberta-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: 0.6541
Accuracy: 0.7619

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: 1e-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: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.827	0.5	500	0.7463	0.7268
0.7122	1.0	1000	0.6541	0.7619
0.5935	1.5	1500	0.6994	0.7654
0.6097	2.0	2000	0.6578	0.7729
0.4835	2.51	2500	0.7130	0.7704
0.5024	3.01	3000	0.7050	0.7719
0.4045	3.51	3500	0.8216	0.7734
0.4103	4.01	4000	0.8049	0.7799
0.3367	4.51	4500	0.8993	0.7779

Framework versions

Transformers 4.35.0
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.14.1

Task: Text Classification
Library: transformers
Type: roberta
License: mit
Created: Oct 31, 2023
Updated: Nov 3, 2023