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: 2.2925
- Validation Loss: 2.2959
- Validation Accuracy: 0.4233
- Epoch: 7
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 |
Framework versions
- Transformers 4.36.2
- TensorFlow 2.15.0
- Datasets 2.16.0
- Tokenizers 0.15.0