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convnext-tiny-224-finetuned-eurosat-vitconfig-test – AI Model by polejowska | AlphaNeural AI

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polejowska/
convnext-tiny-224-finetuned-eurosat-vitconfig-test

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image-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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convnext-tiny-224-finetuned-eurosat-vitconfig-test

This model is a fine-tuned version of on the imagefolder dataset.

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: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 4
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 2

Framework versions

Transformers 4.25.1
Pytorch 1.13.0+cu116
Datasets 2.7.1
Tokenizers 0.13.2