swin-base-patch4-window7-224

uday5678/swin-base-patch4-window7-224

swin-base-patch4-window7-224 is a machine learning model from uday5678. 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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.safetensors348 MB · 100%

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Base models

microsoft/swin-base-patch4-window7-224

Model card

From the Hugging Face model README

swin-base-patch4-window7-224

This model is a fine-tuned version of microsoft/swin-base-patch4-window7-224 on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.9020
Accuracy: 0.6562

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: 3e-05
train_batch_size: 64
eval_batch_size: 64
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 512
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 1000
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.8852	1.1662	100	1.8246	0.2735
1.3877	2.3324	200	1.2174	0.5332
1.1197	3.4985	300	1.0420	0.5904
1.0176	4.6647	400	0.9664	0.6259
0.955	5.8309	500	0.9020	0.6562
0.9005	6.9971	600	0.8687	0.6689
0.8567	8.1633	700	0.8586	0.6704
0.8139	9.3294	800	0.8359	0.6799

Framework versions

Transformers 4.44.0
Pytorch 2.4.0
Datasets 2.21.0
Tokenizers 0.19.1

Type: swin
License: apache-2.0
Created: Sep 2, 2024
Updated: Sep 3, 2024