Training in progress epoch 0
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README.md
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This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Train Loss:
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- Train Accuracy: 0.
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- Train Top-3-accuracy: 0.
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- Validation Loss:
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- Validation Accuracy: 0.
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- Validation Top-3-accuracy: 0.
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- Epoch:
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- optimizer: {'inner_optimizer': {'class_name': 'AdamWeightDecay', 'config': {'name': 'AdamWeightDecay', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 0.
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- training_precision: mixed_float16
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### Training results
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| Train Loss | Train Accuracy | Train Top-3-accuracy | Validation Loss | Validation Accuracy | Validation Top-3-accuracy | Epoch |
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|:----------:|:--------------:|:--------------------:|:---------------:|:-------------------:|:-------------------------:|:-----:|
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| 4.1594 | 0.0358 | 0.1021 | 4.0697 | 0.0468 | 0.1475 | 1 |
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| 3.8935 | 0.0713 | 0.1752 | 3.8171 | 0.0915 | 0.2106 | 2 |
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| 3.4793 | 0.1286 | 0.2882 | 3.3657 | 0.1429 | 0.3109 | 3 |
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| 2.9441 | 0.2044 | 0.4216 | 3.0881 | 0.1805 | 0.3845 | 4 |
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| 2.4544 | 0.3106 | 0.5588 | 2.9695 | 0.2206 | 0.4350 | 5 |
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| 1.8994 | 0.4614 | 0.7073 | 2.9141 | 0.2311 | 0.4450 | 6 |
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| 1.2352 | 0.6731 | 0.8710 | 2.9199 | 0.2545 | 0.4697 | 7 |
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| 0.5456 | 0.8977 | 0.9799 | 2.9824 | 0.2628 | 0.4768 | 8 |
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| 0.1732 | 0.9937 | 0.9989 | 3.0706 | 0.2574 | 0.4676 | 9 |
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### Framework versions
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This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Train Loss: 4.6733
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- Train Accuracy: 0.0106
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- Train Top-3-accuracy: 0.0335
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- Validation Loss: 4.5751
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- Validation Accuracy: 0.0196
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- Validation Top-3-accuracy: 0.0464
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- Epoch: 0
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- optimizer: {'inner_optimizer': {'class_name': 'AdamWeightDecay', 'config': {'name': 'AdamWeightDecay', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 0.003, 'decay_steps': 1400, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}}, 'dynamic': True, 'initial_scale': 32768.0, 'dynamic_growth_steps': 2000}
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- training_precision: mixed_float16
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### Training results
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| Train Loss | Train Accuracy | Train Top-3-accuracy | Validation Loss | Validation Accuracy | Validation Top-3-accuracy | Epoch |
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|:----------:|:--------------:|:--------------------:|:---------------:|:-------------------:|:-------------------------:|:-----:|
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| 4.6733 | 0.0106 | 0.0335 | 4.5751 | 0.0196 | 0.0464 | 0 |
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### Framework versions
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logs/train/events.out.tfevents.1662824115.c6cc2fa81cae.76.2.v2
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size 3303671
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logs/validation/events.out.tfevents.1662825279.c6cc2fa81cae.76.3.v2
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tf_model.h5
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