Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
convnext-base-224-finetuned-eurosat – AI Model by ljttw | AlphaNeural AI
You can deploy this model and start earning money today!
ljttw
/
convnext-base-224-finetuned-eurosat
like
0
transformers
tensorboard
safetensors
convnext
image-classification
generated_from_trainer
facebook/convnext-base-224
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
convnext-base-224-finetuned-eurosat
This model is a fine-tuned version of
facebook/convnext-base-224
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.0081
F1: 0.9949
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 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
F1
0.0242
0.9994
830
0.0168
0.9903
0.0127
1.9991
1660
0.0091
0.9941
0.0075
2.9988
2490
0.0081
0.9949
Framework versions
Transformers 4.46.2
Pytorch 2.5.1+cu121
Datasets 3.1.0
Tokenizers 0.20.3
