---
library_name: peft
tags:
- generated_from_trainer
base_model: bigcode/starcoder2-15b
model-index:
- name: peft-lora-starcoder2-15b-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-starcoder2-15b-unity-copilot

This model is a fine-tuned version of [bigcode/starcoder2-15b](https://huggingface.co/bigcode/starcoder2-15b) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2024

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.1273        | 0.05  | 100  | 0.3306          |
| 0.3286        | 0.1   | 200  | 0.2493          |
| 0.2192        | 0.15  | 300  | 0.2495          |
| 0.2075        | 0.2   | 400  | 0.2442          |
| 0.2335        | 0.25  | 500  | 0.2409          |
| 0.2676        | 0.3   | 600  | 0.2447          |
| 0.2175        | 0.35  | 700  | 0.2370          |
| 0.2681        | 0.4   | 800  | 0.2334          |
| 0.2817        | 0.45  | 900  | 0.2160          |
| 0.2387        | 0.5   | 1000 | 0.2111          |
| 0.2211        | 0.55  | 1100 | 0.2145          |
| 0.1398        | 0.6   | 1200 | 0.2142          |
| 0.1735        | 0.65  | 1300 | 0.2141          |
| 0.3307        | 0.7   | 1400 | 0.2096          |
| 0.3404        | 0.75  | 1500 | 0.2068          |
| 0.2454        | 0.8   | 1600 | 0.2048          |
| 0.1532        | 0.85  | 1700 | 0.2032          |
| 0.3629        | 0.9   | 1800 | 0.2026          |
| 0.3118        | 0.95  | 1900 | 0.2024          |
| 0.2489        | 1.0   | 2000 | 0.2024          |


### Framework versions

- PEFT 0.9.1.dev0
- Transformers 4.39.0.dev0
- Pytorch 2.2.1
- Datasets 2.18.0
- Tokenizers 0.15.2