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---
license: apache-2.0
base_model: anum231/cancer_classifier_100
tags:
- generated_from_keras_callback
model-index:
- name: anum231/cancer_classifier_100
results: []
---
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# anum231/cancer_classifier_100
This model is a fine-tuned version of [anum231/cancer_classifier_100](https://huggingface.co/anum231/cancer_classifier_100) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.5665
- Validation Loss: 0.7941
- Train Accuracy: 0.6897
- Epoch: 12
## 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': 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}
- training_precision: float32
### Training results
| Train Loss | Validation Loss | Train Accuracy | Epoch |
|:----------:|:---------------:|:--------------:|:-----:|
| 1.0644 | 0.9210 | 0.5690 | 0 |
| 0.8927 | 0.8785 | 0.5345 | 1 |
| 0.8065 | 0.9131 | 0.6379 | 2 |
| 0.7085 | 0.7569 | 0.7241 | 3 |
| 0.7407 | 0.7963 | 0.6897 | 4 |
| 0.6635 | 0.8031 | 0.6897 | 5 |
| 0.7505 | 0.8074 | 0.6552 | 6 |
| 0.6149 | 0.8540 | 0.6379 | 7 |
| 0.6530 | 0.7823 | 0.6379 | 8 |
| 0.5969 | 0.8384 | 0.6552 | 9 |
| 0.6808 | 0.7863 | 0.6552 | 10 |
| 0.6269 | 0.8650 | 0.6552 | 11 |
| 0.5665 | 0.7941 | 0.6897 | 12 |
### Framework versions
- Transformers 4.35.2
- TensorFlow 2.15.0
- Datasets 2.16.1
- Tokenizers 0.15.1
|