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

Loss: 0.6650
Accuracy: 0.805

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: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.2566	0.9825	14	0.7227	0.74
0.2729	1.9649	28	0.3916	0.815
0.1553	2.9474	42	0.8409	0.75
0.1371	4.0	57	0.3706	0.885
0.1588	4.9825	71	0.8758	0.765
0.1093	5.9649	85	0.6063	0.82
0.102	6.9474	99	0.5308	0.84
0.0713	8.0	114	0.3536	0.88
0.1045	8.9825	128	0.3858	0.875
0.0661	9.8246	140	0.6650	0.805

Framework versions

Transformers 4.40.0
Pytorch 2.2.1+cu121
Datasets 2.19.0
Tokenizers 0.19.1

DouglasBraga/swin-tiny-patch4-window7-224-finetuned-eurosat

swin-tiny-patch4-window7-224-finetuned-eurosat

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

DouglasBraga/
swin-tiny-patch4-window7-224-finetuned-eurosat