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Training in progress epoch 11
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metadata
license: apache-2.0
base_model: microsoft/resnet-50
tags:
  - generated_from_keras_callback
model-index:
  - name: SaladSlayer00/image_classification_resnet
    results: []

SaladSlayer00/image_classification_resnet

This model is a fine-tuned version of microsoft/resnet-50 on an unknown dataset. It achieves the following results on the evaluation set:

  • Train Loss: 1.2581
  • Validation Loss: 1.6399
  • Validation Accuracy: 0.5823
  • Epoch: 11

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
7.0750 4.8746 0.0090 0
4.6468 4.5229 0.0538 1
4.3211 4.1033 0.1209 2
3.8784 3.6736 0.1859 3
3.4274 3.2193 0.2419 4
3.0071 2.8524 0.3012 5
2.6239 2.5632 0.3651 6
2.2925 2.2959 0.4233 7
1.9792 2.1138 0.4882 8
1.7199 1.9271 0.5174 9
1.4845 1.7643 0.5666 10
1.2581 1.6399 0.5823 11

Framework versions

  • Transformers 4.36.2
  • TensorFlow 2.15.0
  • Datasets 2.16.0
  • Tokenizers 0.15.0