metadata
base_model: microsoft/graphcodebert-base
tags:
- generated_from_keras_callback
model-index:
- name: ASTBERT-gb-5k-methods-multipath
results: []
ASTBERT-gb-5k-methods-multipath
This model is a fine-tuned version of microsoft/graphcodebert-base on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.1757
- Train Accuracy: 0.9637
- 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 |
|---|---|---|
| 1.0763 | 0.8934 | 0 |
| 0.5565 | 0.9292 | 1 |
| 0.5056 | 0.9298 | 2 |
| 0.4761 | 0.9317 | 3 |
| 0.4387 | 0.9346 | 4 |
| 0.3948 | 0.9375 | 5 |
| 0.3434 | 0.9418 | 6 |
| 0.2872 | 0.9474 | 7 |
| 0.2297 | 0.9550 | 8 |
| 0.1757 | 0.9637 | 9 |
Framework versions
- Transformers 4.31.0
- TensorFlow 2.10.0
- Datasets 2.18.0
- Tokenizers 0.13.3