hugo-albert/Code-Llama-3-8B-finetuned-py-to-cpp

<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->

Code-Llama-3-8B-finetuned-py-to-cpp

This model is a fine-tuned version of ajibawa-2023/Code-Llama-3-8B on the XLCoST (Python-C++) dataset, restricted to code snippets of <= 128 tokens long. It achieves the following results on the evaluation set:

• —Loss: 0.4550

Test set:

• —BLEU: 38.48
• —COMET: 79.28
• —CodeBLEU: 64.11
• —N-gram match score: 40.15
• —Weighted n-gram match score: 77.11
• —Syntax match score: 67.02
• —Dataflow match score: 72.13

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
• —trainbatchsize: 2
• —evalbatchsize: 2
• —seed: 42
• —gradientaccumulationsteps: 8
• —totaltrainbatch_size: 16
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_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