roberta-base-detect-cheapfake-combined-train-test-context

hoanghoavienvo/roberta-base-detect-cheapfake-combined-train-test-context

roberta-base-detect-cheapfake-combined-train-test-context is a text classification model from hoanghoavienvo. 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: Feb 10, 2024
Updated: Feb 10, 2024
SHA: 60da11c6

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Base models

Model card

From the Hugging Face model README

roberta-base-detect-cheapfake-combined-train-test-context

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

Loss: 0.4470
Accuracy: 0.78
F1: 0.7442

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-06
train_batch_size: 32
eval_batch_size: 32
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	F1
No log	1.0	75	0.6170	0.49	0.6577
No log	2.0	150	0.4459	0.79	0.7692
No log	3.0	225	0.4441	0.79	0.7692
No log	4.0	300	0.4404	0.81	0.7865
No log	5.0	375	0.4470	0.78	0.7442

Framework versions

Transformers 4.37.0
Pytorch 2.1.2
Datasets 2.1.0
Tokenizers 0.15.1

Task: Text Classification
Library: transformers
Type: roberta
License: mit
Created: Feb 10, 2024
Updated: Feb 10, 2024