ASTBERT-cb-5k-methods-multipath

This model is a fine-tuned version of microsoft/codebert-base-mlm on an unknown dataset. It achieves the following results on the evaluation set:

• Train Loss: 0.1751
• Train Accuracy: 0.9639
• 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
1.0543	0.8955	0
0.5551	0.9292	1
0.5051	0.9299	2
0.4762	0.9317	3
0.4408	0.9340	4
0.3965	0.9372	5
0.3451	0.9416	6
0.2883	0.9473	7
0.2303	0.9548	8
0.1751	0.9639	9

Framework versions

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