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convnext-tiny-224-finetuned-eurosat-albumentations – AI Model by jypasona | AlphaNeural AI
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jypasona
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convnext-tiny-224-finetuned-eurosat-albumentations
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transformers
pytorch
tensorboard
convnext
image-classification
generated_from_trainer
imagefolder
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: 0.0573
Accuracy: 0.9848
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
0.1564
1.0
190
0.1283
0.9737
0.0677
2.0
380
0.0697
0.9837
0.0494
3.0
570
0.0573
0.9848
Framework versions
Transformers 4.25.1
Pytorch 1.13.0+cu116
Datasets 2.8.0
Tokenizers 0.13.2
