roberta-base-twitter_eval_sentiment

ArafatBHossain/roberta-base-twitter_eval_sentiment

roberta-base-twitter_eval_sentiment is a text classification model from ArafatBHossain. 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. --

Downloads · 30 days

1% of all-time downloads

All-time downloads

533

Public

Repo size

2 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.bin499 MB · 100%

At a glance

Task: Text Classification
Library: transformers
License: mit
Model type: roberta
Access: Public
Created: Oct 19, 2022
Updated: Oct 19, 2022
SHA: add58334

Try a prompt

Model card

From the Hugging Face model README

roberta-base-twitter_eval_sentiment

This model is a fine-tuned version of roberta-base on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.8020
Accuracy: 0.6635

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: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.0144	1.0	1875	0.9109	0.6025
0.8331	2.0	3750	0.8187	0.6555
0.7549	3.0	5625	0.8020	0.6635

Framework versions

Transformers 4.23.1
Pytorch 1.12.1+cu113
Datasets 2.6.1
Tokenizers 0.13.1

Task: Text Classification
Library: transformers
Type: roberta
License: mit
Created: Oct 19, 2022
Updated: Oct 19, 2022