testTigAluminium1

Katherynne/testTigAluminium1

testTigAluminium1 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. --

Downloads · 30 days

17% of all-time downloads

All-time downloads

Public

Parameters

85.8M

1.7 GB on disk

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.safetensors343 MB · 100%

At a glance

License: apache-2.0
Model type: beit
Access: Public
Created: Aug 28, 2024
Updated: Aug 28, 2024
SHA: 8d56b846

Base models

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

Model card

From the Hugging Face model README

testTigAluminium1

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: 0.0590
Accuracy: 0.98

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
0.2375	0.9858	52	0.1549	0.952
0.1213	1.9905	105	0.1028	0.9662
0.0967	2.9953	158	0.0909	0.9671
0.0766	4.0	211	0.0734	0.972
0.0741	4.9289	260	0.0590	0.98

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 28, 2024
Updated: Aug 28, 2024