testTigAluminium2

Katherynne/testTigAluminium2

testTigAluminium2 is a machine learning model from Katherynne. 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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Hugging Face

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At a glance

License: apache-2.0
Model type: beit
Access: Public
Created: Aug 29, 2024
Updated: Aug 30, 2024
SHA: 1313f3f3

Base models

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

Model card

From the Hugging Face model README

testTigAluminium2

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

Loss: 0.0833
Accuracy: 0.9735

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
0.3566	1.0	31	0.2748	0.9
0.2141	2.0	62	0.2271	0.9136
0.148	3.0	93	0.1303	0.9515
0.1009	4.0	124	0.0850	0.9712
0.0936	5.0	155	0.0833	0.9735

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: Aug 29, 2024
Updated: Aug 30, 2024