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convnext_tiny.in12k_ft_in1k-finetuned-eurosat – AI Model by Taozhiyaoyao1 | AlphaNeural AI
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convnext_tiny.in12k_ft_in1k-finetuned-eurosat
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transformers
safetensors
timm_wrapper
image-classification
timm
generated_from_trainer
timm/convnext_tiny.in12k_ft_in1k
finetune
apache-2.0
endpoints_compatible
us
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convnext_tiny.in12k_ft_in1k-finetuned-eurosat
This model is a fine-tuned version of
timm/convnext_tiny.in12k_ft_in1k
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0427
Accuracy: 0.9874
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 OptimizerNames.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_steps: 57
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.1927
1.0
190
0.0958
0.9644
0.1429
2.0
380
0.0507
0.9844
0.0879
3.0
570
0.0427
0.9874
Framework versions
Transformers 5.5.0
Pytorch 2.11.0+cu128
Datasets 4.8.4
Tokenizers 0.22.2
