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metadata
license: apache-2.0
base_model: facebook/convnext-base-224-22k-1k
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: convnext-base-224-22k-1k-finetuned-eurosat
    results: []

convnext-base-224-22k-1k-finetuned-eurosat

This model is a fine-tuned version of facebook/convnext-base-224-22k-1k on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.4190
  • Accuracy: 0.8483

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: 3

Training results

Training Loss Epoch Step Validation Loss Accuracy
0.6643 0.99 70 0.6090 0.7754
0.4729 2.0 141 0.4641 0.8253
0.3858 2.98 210 0.4190 0.8483

Framework versions

  • Transformers 4.35.2
  • Pytorch 2.1.0+cu121
  • Datasets 2.16.1
  • Tokenizers 0.15.1