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cvt-13-finetuned-eurosat – AI Model by desarrolloasesoreslocales | AlphaNeural AI
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cvt-13-finetuned-eurosat
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transformers
tensorboard
safetensors
cvt
image-classification
generated_from_trainer
imagefolder
microsoft/cvt-13
finetune
apache-2.0
model-index
autotrain_compatible
endpoints_compatible
us
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cvt-13-finetuned-eurosat
This model is a fine-tuned version of
microsoft/cvt-13
on the imagefolder dataset. It achieves the following results on the evaluation set:
Loss: 1.9738
Accuracy: 0.496
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: 0.0001
train_batch_size: 64
eval_batch_size: 64
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 256
optimizer: Use 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: 5
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
12.096
1.0
18
2.5771
0.258
10.7352
2.0
36
2.3322
0.39
9.976
3.0
54
2.1288
0.456
9.4697
4.0
72
1.9970
0.496
8.751
4.7429
85
1.9738
0.496
Framework versions
Transformers 4.47.1
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0
