Fraunhofer_Classical_multiclass_balaced

ricardoSLabs/Fraunhofer_Classical_multiclass_balaced

Fraunhofer_Classical_multiclass_balaced is a machine learning model from ricardoSLabs. 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 apache-2.0.

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

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At a glance

License: apache-2.0
Model type: beit
Access: Public
Created: Sep 17, 2024
Updated: Sep 17, 2024
SHA: 048990cb

Base models

microsoft/beit-base-patch16-224-pt22k-ft22k

Datasets

imagefolder

Model card

From the Hugging Face model README

Fraunhofer_Classical_multiclass_balaced

This model is a fine-tuned version of microsoft/beit-base-patch16-224-pt22k-ft22k on the imagefolder dataset. It achieves the following results on the evaluation set:

Loss: 0.0332
Accuracy: 0.9872

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: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.1093	1.0	146	0.1078	0.9526
0.0721	2.0	292	0.0746	0.9738
0.0604	3.0	438	0.0537	0.9789
0.0359	4.0	584	0.0432	0.9851
0.0337	5.0	730	0.0332	0.9872

Framework versions

Transformers 4.44.0
Pytorch 2.4.0
Datasets 2.21.0
Tokenizers 0.19.1

Type: beit
License: apache-2.0
Created: Sep 17, 2024
Updated: Sep 17, 2024