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metadata
license: other
tags:
  - generated_from_trainer
datasets:
  - imagefolder
metrics:
  - accuracy
model-index:
  - name: mobilenet_v1_0.75_192-finetuned-eurosat
    results:
      - task:
          name: Image Classification
          type: image-classification
        dataset:
          name: imagefolder
          type: imagefolder
          config: default
          split: train
          args: default
        metrics:
          - name: Accuracy
            type: accuracy
            value: 0.3103448275862069

mobilenet_v1_0.75_192-finetuned-eurosat

This model is a fine-tuned version of google/mobilenet_v1_0.75_192 on the imagefolder dataset. It achieves the following results on the evaluation set:

  • Loss: 1.3344
  • Accuracy: 0.3103

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: 0.0002
  • train_batch_size: 1
  • eval_batch_size: 2
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 4
  • 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
1.3566 1.0 65 1.3639 0.3103
0.9354 2.0 130 1.4389 0.2759
0.8786 3.0 195 1.3344 0.3103

Framework versions

  • Transformers 4.29.2
  • Pytorch 1.12.1
  • Datasets 2.12.0
  • Tokenizers 0.13.3