metadata
license: apache-2.0
base_model: microsoft/resnet-50
tags:
- generated_from_keras_callback
model-index:
- name: SaladSlayer00/new_model
results: []
SaladSlayer00/new_model
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: 1.2935
- Validation Loss: 1.6986
- Validation Accuracy: 0.5619
- 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 |
|---|---|---|---|
| 7.0613 | 4.8451 | 0.0134 | 0 |
| 4.6529 | 4.5201 | 0.0658 | 1 |
| 4.3215 | 4.1158 | 0.0992 | 2 |
| 3.8808 | 3.6981 | 0.1806 | 3 |
| 3.4497 | 3.2741 | 0.2553 | 4 |
| 3.0361 | 2.9681 | 0.3177 | 5 |
| 2.6734 | 2.6529 | 0.3690 | 6 |
| 2.3306 | 2.3803 | 0.4091 | 7 |
| 2.0284 | 2.1731 | 0.4738 | 8 |
| 1.7542 | 1.9839 | 0.4883 | 9 |
| 1.5084 | 1.8335 | 0.5284 | 10 |
| 1.2935 | 1.6986 | 0.5619 | 11 |
Framework versions
- Transformers 4.36.2
- TensorFlow 2.15.0
- Datasets 2.16.0
- Tokenizers 0.15.0