defect-classification-t5-prompt-02-epochs

ppak10/defect-classification-t5-prompt-02-epochs

defect-classification-t5-prompt-02-epochs is a machine learning model from ppak10. Use it for the machine learning task on the model card, and read the license before you ship it in a product. 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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Public

Updated Jan 19, 2025

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284 MB

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Hugging Face

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At a glance

Library: transformers
License: apache-2.0
Access: Public
Created: Jan 17, 2025
Updated: Jan 19, 2025
SHA: 4fdf4f60

Base models

Model card

From the Hugging Face model README

defect-classification-t5-prompt-02-epochs

This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.4723
Accuracy: 0.7717

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: 0.0001
train_batch_size: 512
eval_batch_size: 512
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.4487	1.0	79625	0.4709	0.7655
0.401	2.0	159250	0.4723	0.7717

Framework versions

Transformers 4.47.0
Pytorch 2.5.1+cu124
Datasets 3.2.0
Tokenizers 0.21.0

Library: transformers
License: apache-2.0
Created: Jan 17, 2025
Updated: Jan 19, 2025