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convnext-tiny-224-finetuned-eurosat-albumentations – AI Model by Studentrnt | AlphaNeural AI
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Studentrnt
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convnext-tiny-224-finetuned-eurosat-albumentations
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transformers
tensorboard
safetensors
convnext
image-classification
generated_from_trainer
imagefolder
facebook/convnext-tiny-224
finetune
apache-2.0
model-index
autotrain_compatible
endpoints_compatible
us
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convnext-tiny-224-finetuned-eurosat-albumentations
This model is a fine-tuned version of
facebook/convnext-tiny-224
on the imagefolder dataset. It achieves the following results on the evaluation set:
Loss: 0.0741
Accuracy: 0.9804
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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.1455
1.0
190
0.1553
0.9637
0.0634
2.0
380
0.0850
0.9778
0.0575
3.0
570
0.0741
0.9804
Framework versions
Transformers 4.48.3
Pytorch 2.5.1+cu124
Datasets 3.3.1
Tokenizers 0.21.0
