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convnextv2_femto.fcmae-finetuned-eurosat – AI Model by diegomaureira | AlphaNeural AI
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diegomaureira
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convnextv2_femto.fcmae-finetuned-eurosat
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transformers
safetensors
timm_wrapper
image-classification
timm
generated_from_trainer
imagefolder
timm/convnextv2_femto.fcmae
finetune
cc-by-nc-4.0
model-index
endpoints_compatible
us
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convnextv2_femto.fcmae-finetuned-eurosat
This model is a fine-tuned version of
timm/convnextv2_femto.fcmae
on the imagefolder dataset. It achieves the following results on the evaluation set:
Loss: 3.1097
Accuracy: 0.1792
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: Use adamw_torch_fused 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: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
3.5292
1.0
15
3.3680
0.1085
3.2749
2.0
30
3.1927
0.1509
3.1736
3.0
45
3.1097
0.1792
Framework versions
Transformers 4.57.3
Pytorch 2.8.0+cu128
Datasets 4.4.2
Tokenizers 0.22.1
