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aspends/assignment_part_3
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the COCO dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.0932
- Validation Loss: 0.2218
- Train Accuracy: 0.9313
- Epoch: 4
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': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 3e-05, 'decay_steps': 8000, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32
Training results
| Train Loss | Validation Loss | Train Accuracy | Epoch |
|---|---|---|---|
| 0.8768 | 0.4404 | 0.9387 | 0 |
| 0.3198 | 0.2664 | 0.9475 | 1 |
| 0.1919 | 0.2303 | 0.9425 | 2 |
| 0.1357 | 0.1959 | 0.9463 | 3 |
| 0.0932 | 0.2218 | 0.9313 | 4 |
Framework versions
- Transformers 4.34.1
- TensorFlow 2.13.0
- Datasets 2.14.5
- Tokenizers 0.14.1
