S5_M1_fold1_swint_42507053

alirzb/S5_M1_fold1_swint_42507053

S5_M1_fold1_swint_42507053 is a image classification model from alirzb. Use it when you need a label for an image. 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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Hugging Face

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Base models

microsoft/swin-base-patch4-window7-224

Datasets

imagefolder

Model card

From the Hugging Face model README

S5_M1_fold1_swint_42507053

This model is a fine-tuned version of microsoft/swin-base-patch4-window7-224 on the imagefolder dataset. It achieves the following results on the evaluation set:

Loss: 0.0078
Accuracy: 0.9984

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: 16
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 64
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
0.0231	1.0	79	0.0356	0.9953
0.0134	1.99	158	0.0047	0.9992
0.0189	2.99	237	0.0148	0.9968
0.0043	4.0	317	0.0119	0.9968
0.0003	4.98	395	0.0078	0.9984

Framework versions

Transformers 4.36.2
Pytorch 1.11.0+cu102
Datasets 2.16.0
Tokenizers 0.15.0

Task: Image Classification
Library: transformers
Type: swin
License: apache-2.0
Created: Jan 2, 2024
Updated: Jan 2, 2024