---
base_model: microsoft/graphcodebert-base
tags:
- generated_from_keras_callback
model-index:
- name: ASTBERT
  results: []
---

<!-- This model card has been generated automatically according to the information Keras had access to. You should
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# ASTBERT

This model is a fine-tuned version of [microsoft/graphcodebert-base](https://huggingface.co/microsoft/graphcodebert-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.0535
- Train Accuracy: 0.9866
- Epoch: 9

## 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': 'Adam', 'learning_rate': 1e-04, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
- training_precision: float32

### Training results

| Train Loss | Train Accuracy | Epoch |
|:----------:|:--------------:|:-----:|
| 0.3447     | 0.9442         | 0     |
| 0.2808     | 0.9495         | 1     |
| 0.2292     | 0.9551         | 2     |
| 0.1844     | 0.9609         | 3     |
| 0.1434     | 0.9676         | 4     |
| 0.1121     | 0.9735         | 5     |
| 0.0891     | 0.9784         | 6     |
| 0.0741     | 0.9819         | 7     |
| 0.0625     | 0.9845         | 8     |
| 0.0535     | 0.9866         | 9     |


### Framework versions

- Transformers 4.31.0
- TensorFlow 2.10.0
- Datasets 2.18.0
- Tokenizers 0.13.3