roberta-base-bne-finetuned-multi-sentiment

OscarGalavizC/roberta-base-bne-finetuned-multi-sentiment

roberta-base-bne-finetuned-multi-sentiment is a text classification model from OscarGalavizC. 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: roberta
Access: Public
Created: May 16, 2024
Updated: May 20, 2024
SHA: 958d6bdc

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Base models

Model card

From the Hugging Face model README

roberta-base-bne-finetuned-multi-sentiment

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

Loss: 0.7116
Accuracy: 0.6914

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
0.809	1.0	115	0.7168	0.6852
0.6101	2.0	230	0.7116	0.6914

Framework versions

Transformers 4.40.2
Pytorch 1.13.1+cu117
Datasets 2.19.1
Tokenizers 0.19.1

Task: Text Classification
Library: transformers
Type: roberta
License: apache-2.0
Created: May 16, 2024
Updated: May 20, 2024