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metadata
base_model: microsoft/codebert-base-mlm
tags:
  - generated_from_keras_callback
model-index:
  - name: ASTcodeBERT-mlm
    results: []

ASTcodeBERT-mlm

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: 0.0771
  • Train Accuracy: 0.9810
  • 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
0.6706 0.9211 0
0.3946 0.9394 1
0.3184 0.9457 2
0.2629 0.9513 3
0.2173 0.9566 4
0.1694 0.9633 5
0.1439 0.9673 6
0.1158 0.9726 7
0.0928 0.9774 8
0.0771 0.9810 9

Framework versions

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