defect-classification-t5-baseline-05-epochs

ppak10/defect-classification-t5-baseline-05-epochs

defect-classification-t5-baseline-05-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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Updated Jan 17, 2025

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708 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 17, 2025
SHA: 7b33adb4

Base models

Model card

From the Hugging Face model README

defect-classification-t5-baseline-05-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: 0.4927
Accuracy: 0.7949

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: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.5237	1.0	1062	0.6960	0.7440
0.5046	2.0	2124	0.5316	0.7422
0.4337	3.0	3186	0.5014	0.7830
0.4299	4.0	4248	0.5107	0.7892
0.4249	5.0	5310	0.4927	0.7949

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 17, 2025