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Lumina

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metadata
language:
  - en
base_model: microsoft/CodeGPT-small-py
tags:
  - generated_from_trainer
datasets:
  - code_search_net
model-index:
  - name: Lumina
    results: []
license: apache-2.0
pipeline_tag: text-generation
library_name: transformers

Lumina

This model is a fine-tuned version of microsoft/CodeGPT-small-py on the Code Search dataset. It achieves the following results on the evaluation set:

  • Loss: 0.5343

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: 5e-05
  • train_batch_size: 16
  • eval_batch_size: 16
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 64
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • training_steps: 5000
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
0.5519 0.7763 5000 0.5343

Framework versions

  • Transformers 4.44.0
  • Pytorch 2.4.0
  • Datasets 2.21.0
  • Tokenizers 0.19.1