metadata
license: apache-2.0
base_model: microsoft/resnet-50
tags:
- generated_from_keras_callback
model-index:
- name: SaladSlayer00/twin_matcher_beta
results: []
SaladSlayer00/twin_matcher_beta
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: 0.2269
- Validation Loss: 1.2193
- Validation Accuracy: 0.6881
- Epoch: 21
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 |
|---|---|---|---|
| 7.0814 | 4.8848 | 0.0133 | 0 |
| 4.6679 | 4.5568 | 0.0666 | 1 |
| 4.3536 | 4.1337 | 0.1221 | 2 |
| 3.8915 | 3.6650 | 0.2053 | 3 |
| 3.4256 | 3.2568 | 0.2597 | 4 |
| 3.0033 | 2.8885 | 0.3185 | 5 |
| 2.6252 | 2.5913 | 0.3973 | 6 |
| 2.2829 | 2.3391 | 0.4406 | 7 |
| 1.9821 | 2.1352 | 0.4928 | 8 |
| 1.7076 | 1.9428 | 0.5250 | 9 |
| 1.4693 | 1.8008 | 0.5627 | 10 |
| 1.2464 | 1.6763 | 0.5949 | 11 |
| 1.0552 | 1.5872 | 0.6093 | 12 |
| 0.9105 | 1.4840 | 0.6238 | 13 |
| 0.7595 | 1.4117 | 0.6426 | 14 |
| 0.6390 | 1.3601 | 0.6582 | 15 |
| 0.5328 | 1.3283 | 0.6548 | 16 |
| 0.4539 | 1.2958 | 0.6681 | 17 |
| 0.3655 | 1.2470 | 0.6715 | 18 |
| 0.3183 | 1.2389 | 0.6770 | 19 |
| 0.2597 | 1.2309 | 0.6792 | 20 |
| 0.2269 | 1.2193 | 0.6881 | 21 |
Framework versions
- Transformers 4.35.2
- TensorFlow 2.15.0
- Datasets 2.16.1
- Tokenizers 0.15.0