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--- |
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license: other |
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base_model: nvidia/mit-b1 |
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tags: |
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- generated_from_keras_callback |
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model-index: |
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- name: ahmed-ai/mit-b1-skin-classifier |
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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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# ahmed-ai/mit-b1-skin-classifier |
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<h2 style="color:red; font-size: 3rem">Important Warning</h2> |
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<p style="font-weight: bold; font-size: 1.5rem;">This model is currently undergoing development; as such, it should not be used for clinical diagnosis or relied upon for medical decision-making at this stage.</p> |
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This model is a fine-tuned version of [nvidia/mit-b1](https://huggingface.co/nvidia/mit-b1) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Train Loss: 0.4567 |
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- Validation Loss: 0.6271 |
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- Train Accuracy: 0.7610 |
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- Epoch: 9 |
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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': 'AdamWeightDecay', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 3e-05, 'decay_steps': 191770, '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} |
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- training_precision: float32 |
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### Training results |
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| Train Loss | Validation Loss | Train Accuracy | Epoch | |
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|:----------:|:---------------:|:--------------:|:-----:| |
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| 1.1152 | 0.8715 | 0.6858 | 0 | |
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| 0.8784 | 0.7400 | 0.7216 | 1 | |
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| 0.7774 | 0.7492 | 0.7273 | 2 | |
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| 0.7114 | 0.7229 | 0.7213 | 3 | |
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| 0.6492 | 0.6735 | 0.7393 | 4 | |
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| 0.6005 | 0.6498 | 0.7507 | 5 | |
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| 0.5560 | 0.6181 | 0.7596 | 6 | |
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| 0.5179 | 0.6473 | 0.7582 | 7 | |
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| 0.4913 | 0.6100 | 0.7711 | 8 | |
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| 0.4567 | 0.6271 | 0.7610 | 9 | |
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### Framework versions |
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- Transformers 4.36.2 |
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- TensorFlow 2.13.0 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.0 |
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