ASTBERT-cb-5k-methods

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: 0.0903
• Train Accuracy: 0.9806
• 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
1.2016	0.8863	0
0.5520	0.9294	1
0.4975	0.9315	2
0.4456	0.9353	3
0.3840	0.9391	4
0.3186	0.9443	5
0.2513	0.9517	6
0.1874	0.9614	7
0.1312	0.9718	8
0.0903	0.9806	9

Framework versions

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