convnext-tiny-224-finetuned-eurosat-att-auto – AI Model by polejowska | AlphaNeural AI

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polejowska/
convnext-tiny-224-finetuned-eurosat-att-auto

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image-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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convnext-tiny-224-finetuned-eurosat-att-auto

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: 0.5076
Accuracy: 0.9506

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: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.5583	0.97	23	1.6008	0.7160
1.2953	1.97	46	1.2957	0.7531
0.9488	2.97	69	1.0720	0.8148
0.7036	3.97	92	0.8965	0.8642
0.5446	4.97	115	0.7574	0.9383
0.4113	5.97	138	0.6522	0.9383
0.2259	6.97	161	0.5720	0.9383
0.1863	7.97	184	0.5076	0.9506
0.1443	8.97	207	0.4795	0.9383
0.1289	9.97	230	0.4685	0.9383

Framework versions

Transformers 4.25.1
Pytorch 1.13.0+cu116
Datasets 2.7.1
Tokenizers 0.13.2