---
library_name: peft
tags:
- generated_from_trainer
base_model: codellama/CodeLlama-13b-Instruct-hf
model-index:
- name: peft-lora-CodeLlama-13b-flutter-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-flutter-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: 0.3620

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.7824        | 0.05  | 100  | 0.4186          |
| 0.3055        | 0.1   | 200  | 0.4164          |
| 0.4455        | 0.15  | 300  | 0.4134          |
| 0.3148        | 0.2   | 400  | 0.3762          |
| 0.2942        | 0.25  | 500  | 0.3780          |
| 0.8817        | 0.3   | 600  | 0.3760          |
| 0.4958        | 0.35  | 700  | 0.3738          |
| 0.4388        | 0.4   | 800  | 0.3710          |
| 0.3605        | 0.45  | 900  | 0.3698          |
| 0.2862        | 0.5   | 1000 | 0.3673          |
| 3.4798        | 0.55  | 1100 | 0.3687          |
| 3.3077        | 0.6   | 1200 | 0.3703          |
| 0.4847        | 0.65  | 1300 | 0.3666          |
| 0.3593        | 0.7   | 1400 | 0.3662          |
| 0.5983        | 0.75  | 1500 | 0.3654          |
| 0.6138        | 0.8   | 1600 | 0.3638          |
| 0.403         | 0.85  | 1700 | 0.3635          |
| 0.4199        | 0.9   | 1800 | 0.3632          |
| 0.3526        | 0.95  | 1900 | 0.3621          |
| 0.492         | 1.0   | 2000 | 0.3620          |


### 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