essay-detect-roberta

aidenliw/essay-detect-roberta

essay-detect-roberta is a machine learning model from aidenliw. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.

should probably proofread and complete it, then remove this comment. --

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Hugging Face

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At a glance

License: mit
Model type: roberta
Access: Public
Created: Aug 7, 2024
Updated: Aug 8, 2024
SHA: 337a6a67

Base models

Model card

From the Hugging Face model README

results

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

Loss: 0.0175
Accuracy: 0.9976

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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.1687	0.2856	500	0.0167	0.9959
0.0522	0.5711	1000	0.0907	0.9876
0.0373	0.8567	1500	0.0439	0.9914
0.0215	1.1422	2000	0.0090	0.9986
0.0134	1.4278	2500	0.0381	0.9946
0.005	1.7133	3000	0.0185	0.9976
0.0082	1.9989	3500	0.0281	0.9959
0.0025	2.2844	4000	0.0102	0.9987
0.0009	2.5700	4500	0.0133	0.9981
0.0017	2.8555	5000	0.0173	0.9976

Framework versions

Transformers 4.43.1
Pytorch 2.2.2+cu121
Tokenizers 0.19.1

Type: roberta
License: mit
Created: Aug 7, 2024
Updated: Aug 8, 2024