deberta-base-HSOL-WIKI-CLS

xoyeop/deberta-base-HSOL-WIKI-CLS

deberta-base-HSOL-WIKI-CLS is a machine learning model from xoyeop. 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: deberta
Access: Public
Created: Aug 28, 2024
Updated: Aug 28, 2024
SHA: 00cdf953

Base models

microsoft/deberta-base

Model card

From the Hugging Face model README

deberta-base-HSOL-WIKI-CLS

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

Loss: 1.1529
Precision: 0.7757
Recall: 0.7782
F1: 0.7769
Accuracy: 0.8075

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: 3e-05
train_batch_size: 4
eval_batch_size: 4
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	Precision	Recall	F1	Accuracy
0.6211	1.0	769	0.7439	0.8403	0.6654	0.6824	0.7854
0.5518	2.0	1538	0.4591	0.7945	0.7469	0.7629	0.8114
0.4051	3.0	2307	0.7194	0.7718	0.7674	0.7695	0.8036
0.2264	4.0	3076	0.9925	0.7918	0.7546	0.7682	0.8127
0.166	5.0	3845	1.1529	0.7757	0.7782	0.7769	0.8075

Framework versions

Transformers 4.42.4
Pytorch 2.4.0+cu121
Datasets 2.21.0
Tokenizers 0.19.1

Type: deberta
License: mit
Created: Aug 28, 2024
Updated: Aug 28, 2024