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--- |
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license: apache-2.0 |
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base_model: anum231/cancer_classifier_100 |
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tags: |
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- generated_from_keras_callback |
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model-index: |
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- name: anum231/cancer_classifier_100 |
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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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# anum231/cancer_classifier_100 |
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This model is a fine-tuned version of [anum231/cancer_classifier_100](https://huggingface.co/anum231/cancer_classifier_100) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Train Loss: 0.5354 |
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- Validation Loss: 0.8077 |
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- Train Accuracy: 0.6724 |
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- Epoch: 22 |
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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': 4640, '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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| 1.0644 | 0.9210 | 0.5690 | 0 | |
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| 0.8927 | 0.8785 | 0.5345 | 1 | |
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| 0.8065 | 0.9131 | 0.6379 | 2 | |
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| 0.7085 | 0.7569 | 0.7241 | 3 | |
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| 0.7407 | 0.7963 | 0.6897 | 4 | |
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| 0.6635 | 0.8031 | 0.6897 | 5 | |
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| 0.7505 | 0.8074 | 0.6552 | 6 | |
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| 0.6149 | 0.8540 | 0.6379 | 7 | |
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| 0.6530 | 0.7823 | 0.6379 | 8 | |
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| 0.5969 | 0.8384 | 0.6552 | 9 | |
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| 0.6808 | 0.7863 | 0.6552 | 10 | |
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| 0.6269 | 0.8650 | 0.6552 | 11 | |
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| 0.5665 | 0.7941 | 0.6897 | 12 | |
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| 0.6414 | 0.8927 | 0.6552 | 13 | |
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| 0.7304 | 0.9703 | 0.6034 | 14 | |
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| 0.5518 | 0.9204 | 0.6552 | 15 | |
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| 0.6184 | 0.8850 | 0.6897 | 16 | |
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| 0.6397 | 0.8827 | 0.6724 | 17 | |
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| 0.5697 | 0.8658 | 0.6207 | 18 | |
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| 0.6103 | 0.8177 | 0.6379 | 19 | |
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| 0.5541 | 0.8526 | 0.6552 | 20 | |
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| 0.5831 | 0.8632 | 0.6379 | 21 | |
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| 0.5354 | 0.8077 | 0.6724 | 22 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- TensorFlow 2.15.0 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.1 |
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