---
library_name: peft
tags:
- generated_from_trainer
base_model: codellam/CodeLlama-13b-Instruct-hf
model-index:
- name: peft-lora-CodeLlama-13b-unity-copilot
  results: []
---

<!-- 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. -->

# peft-lora-CodeLlama-13b-unity-copilot

This model is a fine-tuned version of [codellama/CodeLlama-13b-Instruct-hf](https://huggingface.co/codellama/CodeLlama-13b-Instruct-hf) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1825

## 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: 0.0003
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 2000

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.1196        | 0.05  | 100  | 0.3165          |
| 0.2451        | 0.1   | 200  | 0.2333          |
| 0.2358        | 0.15  | 300  | 0.2338          |
| 0.1617        | 0.2   | 400  | 0.2239          |
| 0.1839        | 0.25  | 500  | 0.2154          |
| 0.1845        | 0.3   | 600  | 0.2169          |
| 0.2536        | 0.35  | 700  | 0.2185          |
| 0.1649        | 0.4   | 800  | 0.2153          |
| 0.2767        | 0.45  | 900  | 0.2056          |
| 0.1939        | 0.5   | 1000 | 0.2120          |
| 0.1093        | 0.55  | 1100 | 0.1975          |
| 0.1852        | 0.6   | 1200 | 0.1912          |
| 0.1077        | 0.65  | 1300 | 0.1930          |
| 0.1129        | 0.7   | 1400 | 0.1959          |
| 0.1219        | 0.75  | 1500 | 0.1958          |
| 0.3024        | 0.8   | 1600 | 0.1882          |
| 0.2656        | 0.85  | 1700 | 0.1872          |
| 0.1666        | 0.9   | 1800 | 0.1849          |
| 0.1553        | 0.95  | 1900 | 0.1827          |
| 0.1477        | 1.0   | 2000 | 0.1825          |


### Framework versions

- PEFT 0.10.1.dev0
- Transformers 4.40.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2