---
base_model: microsoft/graphcodebert-base
tags:
- generated_from_keras_callback
model-index:
- name: ASTBERT-gb-5k-methods
  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. -->

# ASTBERT-gb-5k-methods

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: 0.0907
- Train Accuracy: 0.9805
- 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 |
|:----------:|:--------------:|:-----:|
| 1.1843     | 0.8888         | 0     |
| 0.5507     | 0.9295         | 1     |
| 0.4962     | 0.9317         | 2     |
| 0.4450     | 0.9353         | 3     |
| 0.3849     | 0.9391         | 4     |
| 0.3208     | 0.9441         | 5     |
| 0.2545     | 0.9514         | 6     |
| 0.1904     | 0.9610         | 7     |
| 0.1351     | 0.9712         | 8     |
| 0.0907     | 0.9805         | 9     |


### Framework versions

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