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--- |
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license: apache-2.0 |
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tags: |
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- image-classification |
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- tensorflow |
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- vision |
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- generated_from_keras_callback |
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model-index: |
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- name: amyeroberts/vit-base-beans |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information Keras had access to. You should |
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probably proofread and complete it, then remove this comment. --> |
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# amyeroberts/vit-base-beans |
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This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the beans dataset. |
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It achieves the following results on the evaluation set: |
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- Train Loss: 0.1538 |
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- Train Accuracy: 0.9774 |
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- Validation Loss: 0.1126 |
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- Validation Accuracy: 0.9774 |
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- Epoch: 2 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- optimizer: {'name': 'Adam', 'global_clipnorm': 1.0, 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 5170, '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} |
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- training_precision: float32 |
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### Training results |
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| Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch | |
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|:----------:|:--------------:|:---------------:|:-------------------:|:-----:| |
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| 0.6342 | 0.9925 | 0.2390 | 0.9925 | 0 | |
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| 0.2234 | 0.9774 | 0.1293 | 0.9774 | 1 | |
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| 0.1538 | 0.9774 | 0.1126 | 0.9774 | 2 | |
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### Framework versions |
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- Transformers 4.24.0.dev0 |
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- TensorFlow 2.10.0 |
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- Datasets 2.6.2.dev0 |
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- Tokenizers 0.12.1 |
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