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