ASTBERT-gb-5k-methods

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: 0.0907
• 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