---
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
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Lumina

This model is a fine-tuned version of [microsoft/CodeGPT-small-py](https://huggingface.co./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