distilroberta-base-detect-dep

Trong-Nghia/distilroberta-base-detect-dep

distilroberta-base-detect-dep is a text classification model from Trong-Nghia. 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: Jul 1, 2023
Updated: Jul 1, 2023
SHA: 3c00ef74

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Model card

From the Hugging Face model README

distilroberta-base-detect-dep

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

Loss: 0.5551
Accuracy: 0.74
F1: 0.8097

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: 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: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
No log	1.0	376	0.5390	0.751	0.8258
0.6156	2.0	752	0.5483	0.763	0.8276
0.5787	3.0	1128	0.5385	0.761	0.8284
0.5494	4.0	1504	0.5474	0.743	0.8120
0.5494	5.0	1880	0.5551	0.74	0.8097

Framework versions

Transformers 4.30.2
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3

Task: Text Classification
Library: transformers
Type: roberta
License: apache-2.0
Created: Jul 1, 2023
Updated: Jul 1, 2023