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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-gb-5k-methods |
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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-gb-5k-methods |
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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: 0.0907 |
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- Train Accuracy: 0.9805 |
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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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| 1.1843 | 0.8888 | 0 | |
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| 0.5507 | 0.9295 | 1 | |
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| 0.4962 | 0.9317 | 2 | |
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| 0.4450 | 0.9353 | 3 | |
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| 0.3849 | 0.9391 | 4 | |
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| 0.3208 | 0.9441 | 5 | |
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| 0.2545 | 0.9514 | 6 | |
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| 0.1904 | 0.9610 | 7 | |
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| 0.1351 | 0.9712 | 8 | |
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| 0.0907 | 0.9805 | 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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