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--- |
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base_model: microsoft/graphcodebert-base |
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tags: |
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- generated_from_keras_callback |
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model-index: |
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- name: ASTBERT |
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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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# ASTBERT |
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This model is a fine-tuned version of [microsoft/graphcodebert-base](https://huggingface.co/microsoft/graphcodebert-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Train Loss: 0.0535 |
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- Train Accuracy: 0.9866 |
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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': 'Adam', 'learning_rate': 1e-04, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False} |
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- training_precision: float32 |
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### Training results |
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| Train Loss | Train Accuracy | Epoch | |
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|:----------:|:--------------:|:-----:| |
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| 0.3447 | 0.9442 | 0 | |
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| 0.2808 | 0.9495 | 1 | |
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| 0.2292 | 0.9551 | 2 | |
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| 0.1844 | 0.9609 | 3 | |
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| 0.1434 | 0.9676 | 4 | |
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| 0.1121 | 0.9735 | 5 | |
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| 0.0891 | 0.9784 | 6 | |
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| 0.0741 | 0.9819 | 7 | |
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| 0.0625 | 0.9845 | 8 | |
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| 0.0535 | 0.9866 | 9 | |
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### Framework versions |
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- Transformers 4.31.0 |
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- TensorFlow 2.10.0 |
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- Datasets 2.18.0 |
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- Tokenizers 0.13.3 |
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