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CommitPredictor

This model is a fine-tuned version of microsoft/codebert-base-mlm on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 1.8427
  • Accuracy: 0.6409

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:

  • learning_rate: 2e-05
  • train_batch_size: 32
  • eval_batch_size: 32
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 128
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 50
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Accuracy
No log 1.0 292 2.2754 0.5767
2.5787 2.0 584 2.2006 0.5877
2.5787 3.0 876 2.0851 0.5953
2.2167 4.0 1168 2.0148 0.6142
2.2167 5.0 1460 1.9583 0.6144
2.064 6.0 1752 1.8846 0.6309
1.9626 7.0 2044 1.9399 0.6247
1.9626 8.0 2336 1.8423 0.6401
1.8671 9.0 2628 1.8065 0.6407
1.8671 10.0 2920 1.7582 0.6507
1.7957 11.0 3212 1.7978 0.6479
1.7226 12.0 3504 1.8058 0.6521
1.7226 13.0 3796 1.8427 0.6409

Framework versions

  • Transformers 4.25.1
  • Pytorch 1.13.0+cu117
  • Datasets 2.7.1
  • Tokenizers 0.13.2
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