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orchid219_ft_vit-large-patch16-224-in21k-finetuned-eurosat – AI Model by Vemi | AlphaNeural AI
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Vemi
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orchid219_ft_vit-large-patch16-224-in21k-finetuned-eurosat
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transformers
pytorch
tensorboard
vit
image-classification
generated_from_trainer
image_folder
model-index
autotrain_compatible
endpoints_compatible
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orchid219_ft_vit-large-patch16-224-in21k-finetuned-eurosat
This model is a fine-tuned version of
gary109/orchid219_ft_vit-large-patch16-224-in21k
on the image_folder dataset. It achieves the following results on the evaluation set:
Loss: 0.9545
Accuracy: 0.9231
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: 10
eval_batch_size: 10
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 40
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
3.5728
0.96
17
2.1936
0.8718
1.6005
1.96
34
1.2044
0.9359
0.9764
2.96
51
0.9545
0.9231
Framework versions
Transformers 4.19.2
Pytorch 1.11.0+cu113
Datasets 2.2.2
Tokenizers 0.12.1
