README.md

metadata

base_model: microsoft/codebert-base
tags:
  - Text Generation
  - generated_from_trainer
model-index:
  - name: codeBert-finetuned-cXg-nl-to-code
    results: []

codeBert-finetuned-cXg-nl-to-code

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

• eval_loss: 18.2530
• eval_rouge1: 0.0557
• eval_rouge2: 0.0041
• eval_rougeL: 0.0397
• eval_bleu: 0.8313
• eval_meteor: 0.0884
• eval_codebleu: 0.2407
• eval_runtime: 150.2026
• eval_samples_per_second: 0.067
• eval_steps_per_second: 0.013
• step: 0

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: 8
• eval_batch_size: 8
• 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

Framework versions

• Transformers 4.42.4
• Pytorch 2.3.1+cu121
• Datasets 2.20.0
• Tokenizers 0.19.1