CodeLlama-7b-hf-finetuned-py-to-cpp

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CodeLlama-7b-hf-finetuned-py-to-cpp

This model is a fine-tuned version of codellama/CodeLlama-7b-hf on the XLCoST (Python-C++) dataset, restricted to code snippets of <= 128 tokens long. It achieves the following results on the evaluation set:

• Loss: 0.3878

Test set:

• BLEU: 65.06
• COMET: 89.13
• CodeBLEU: 78.52
  • N-gram match score: 66.81
  • Weighted n-gram match score: 82.49
  • Syntax match score: 75.77
  • Dataflow match score: 89.02

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: 0.0001
• train_batch_size: 2
• eval_batch_size: 2
• seed: 42
• gradient_accumulation_steps: 8
• total_train_batch_size: 16
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 100
• num_epochs: 3

Training results

Framework versions

• Transformers 4.33.1
• Pytorch 2.4.0
• Datasets 3.0.1
• Tokenizers 0.13.3