readme: ---
  license: apache-2.0
  tags:
  - generated_from_keras_callback
  model-index:
  - name: amyeroberts/resnet-18-finetuned-eurosat
    results: []
  ---
  
  <!-- This model card has been generated automatically according to the information Keras had access to. You should
  probably proofread and complete it, then remove this comment. -->
  
  # amyeroberts/resnet-18-finetuned-eurosat
  
  This model is a fine-tuned version of [microsoft/resnet-18](https://huggingface.co/microsoft/resnet-18) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Train Loss: 0.5582
  - Validation Loss: 2.1533
  - Validation Accuracy: 0.2059
  - Epoch: 2
  
  ## 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:
  - optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 5e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
  - training_precision: float32
  
  ### Training results
  
  | Train Loss | Validation Loss | Validation Accuracy | Epoch |
  |:----------:|:---------------:|:-------------------:|:-----:|
  | 3.0662     | 2.7376          | 0.1374              | 0     |
  | 1.3977     | 2.3876          | 0.1685              | 1     |
  | 0.5582     | 2.1533          | 0.2059              | 2     |
  
  
  ### Framework versions
  
  - Transformers 4.21.0.dev0
  - TensorFlow 2.9.1
  - Datasets 2.3.3.dev0
  - Tokenizers 0.11.0
  