mobilevit-xx-small-finetuned-eurosat – AI Model by loucad | AlphaNeural AI

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loucad/
mobilevit-xx-small-finetuned-eurosat

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image-classification

generated_from_trainer

apple/mobilevit-xx-small

autotrain_compatible

endpoints_compatible

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mobilevit-xx-small-finetuned-eurosat

This model is a fine-tuned version of apple/mobilevit-xx-small on the imagefolder dataset. It achieves the following results on the evaluation set:

Loss: 0.1926
Accuracy: 0.9507

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: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.5074	1.0	190	1.3433	0.7078
0.9398	2.0	380	0.7177	0.85
0.7035	3.0	570	0.4252	0.9070
0.5435	4.0	760	0.3080	0.9281
0.5007	5.0	950	0.2465	0.9389
0.4533	6.0	1140	0.2291	0.9444
0.3961	7.0	1330	0.1991	0.9496
0.3949	8.0	1520	0.1926	0.9507
0.4302	9.0	1710	0.1928	0.95
0.4061	10.0	1900	0.1931	0.9463

Framework versions

Transformers 4.31.0
Pytorch 2.0.1+cu117
Datasets 2.14.1
Tokenizers 0.13.3