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vit-small-patch16-224-finetuned-eurosat – AI Model by MF21377197 | AlphaNeural AI
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MF21377197
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vit-small-patch16-224-finetuned-eurosat
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transformers
tensorboard
safetensors
vit
image-classification
generated_from_trainer
WinKawaks/vit-small-patch16-224
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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vit-small-patch16-224-finetuned-eurosat
This model is a fine-tuned version of
WinKawaks/vit-small-patch16-224
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0415
Accuracy: 0.9858
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: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.2917
1.0
351
0.0685
0.978
0.2336
2.0
703
0.0490
0.9846
0.1666
2.99
1053
0.0415
0.9858
Framework versions
Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2
