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graphCodeBert-finetuned-cXg-nl-to-code – AI Model by SashaSheykina | AlphaNeural AI

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SashaSheykina/
graphCodeBert-finetuned-cXg-nl-to-code

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text-generation

Text2Text Generation

generated_from_trainer

microsoft/graphcodebert-base

autotrain_compatible

endpoints_compatible

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graphCodeBert-finetuned-cXg-nl-to-code

This model is a fine-tuned version of microsoft/graphcodebert-base on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 8.5374
Rouge1: 0.0803
Rouge2: 0.0056
Rougel: 0.0590
Bleu: 0.7208
Meteor: 0.1076
Codebleu: 0.2064

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: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP

Training results

Framework versions

Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1