README.md

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: 7.0880
• Validation Loss: 4.8638
• Validation Accuracy: 0.0146
• Epoch: 0

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
7.0880	4.8638	0.0146	0

Framework versions

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