roberta-base-finetuned-sarcasm-news-headline-detection

sadia72/roberta-base-finetuned-sarcasm-news-headline-detection

roberta-base-finetuned-sarcasm-news-headline-detection is a text classification model from sadia72. 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: Apr 8, 2023
Updated: Apr 8, 2023
SHA: 06d0c4f1

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Model card

From the Hugging Face model README

roberta-base-finetuned-sarcasm-news-headline-detection

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

Loss: 0.0451

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: 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
0.2325	1.0	1789	0.1235
0.1525	2.0	3578	0.0767
0.0944	3.0	5367	0.0451

Framework versions

Transformers 4.27.4
Pytorch 2.0.0+cu118
Datasets 2.11.0
Tokenizers 0.13.3

Task: Text Classification
Library: transformers
Type: roberta
License: mit
Created: Apr 8, 2023
Updated: Apr 8, 2023