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metadata
base_model: microsoft/graphcodebert-base
tags:
  - generated_from_keras_callback
model-index:
  - name: ASTBERT-gb-5k-methods
    results: []

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