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metadata
base_model: openai/clip-vit-base-patch32
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: clip-vit-base-patch32-finetuned-eurosat
    results: []

clip-vit-base-patch32-finetuned-eurosat

This model is a fine-tuned version of openai/clip-vit-base-patch32 on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1225
  • Accuracy: 0.9614

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
0.6844 1.0 351 0.3243 0.8944
0.4737 2.0 703 0.1788 0.9384
0.3252 2.99 1053 0.1225 0.9614

Framework versions

  • Transformers 4.38.2
  • Pytorch 2.2.1+cu121
  • Datasets 2.18.0
  • Tokenizers 0.15.2