---
library_name: peft
tags:
- generated_from_trainer
base_model: codellama/CodeLlama-13b-Instruct-hf
model-index:
- name: peft-lora-CodeLlama-13b-huggingface-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-huggingface-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: 0.4166

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.5101        | 0.05  | 100  | 0.5661          |
| 0.5131        | 0.1   | 200  | 0.5247          |
| 0.5291        | 0.15  | 300  | 0.5053          |
| 0.4597        | 0.2   | 400  | 0.4944          |
| 0.4241        | 0.25  | 500  | 0.4790          |
| 0.4306        | 0.3   | 600  | 0.4694          |
| 0.4228        | 0.35  | 700  | 0.4618          |
| 0.3666        | 0.4   | 800  | 0.4527          |
| 0.4728        | 0.45  | 900  | 0.4438          |
| 0.3866        | 0.5   | 1000 | 0.4371          |
| 0.3695        | 0.55  | 1100 | 0.4326          |
| 0.3303        | 0.6   | 1200 | 0.4295          |
| 0.2989        | 0.65  | 1300 | 0.4258          |
| 0.3495        | 0.7   | 1400 | 0.4223          |
| 0.3437        | 0.75  | 1500 | 0.4203          |
| 0.302         | 0.8   | 1600 | 0.4179          |
| 0.3655        | 0.85  | 1700 | 0.4164          |
| 0.3213        | 0.9   | 1800 | 0.4162          |
| 0.2654        | 0.95  | 1900 | 0.4164          |
| 0.274         | 1.0   | 2000 | 0.4166          |


### 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