---
license: bigcode-openrail-m
library_name: peft
tags:
- generated_from_trainer
base_model: bigcode/starcoder2-3b
model-index:
- name: starcoder2-3b-peft-lora
  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. -->

[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/hvl-ml/huggingface/runs/71217l2g)
# starcoder2-3b-peft-lora

This model is a fine-tuned version of [bigcode/starcoder2-3b](https://huggingface.co./bigcode/starcoder2-3b) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7576

## 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: 0.0005
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 30
- training_steps: 2000

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.5348        | 0.05  | 100  | 0.9196          |
| 0.8854        | 0.1   | 200  | 0.8079          |
| 0.6684        | 0.15  | 300  | 0.7977          |
| 0.7444        | 0.2   | 400  | 0.7962          |
| 0.2232        | 0.25  | 500  | 0.8324          |
| 0.4756        | 0.3   | 600  | 0.7965          |
| 0.4507        | 0.35  | 700  | 0.7983          |
| 0.747         | 0.4   | 800  | 0.7863          |
| 0.4285        | 0.45  | 900  | 0.7854          |
| 0.3905        | 0.5   | 1000 | 0.8041          |
| 0.7737        | 0.55  | 1100 | 0.7641          |
| 0.5301        | 0.6   | 1200 | 0.7599          |
| 0.6514        | 0.65  | 1300 | 0.7561          |
| 0.1931        | 0.7   | 1400 | 0.7659          |
| 0.4201        | 0.75  | 1500 | 0.7567          |
| 0.4191        | 0.8   | 1600 | 0.7566          |
| 0.6998        | 0.85  | 1700 | 0.7530          |
| 0.4025        | 0.9   | 1800 | 0.7528          |
| 0.3656        | 0.95  | 1900 | 0.7605          |
| 0.6816        | 1.0   | 2000 | 0.7576          |


### Framework versions

- PEFT 0.10.1.dev0
- Transformers 4.41.0.dev0
- Pytorch 2.3.0
- Datasets 2.19.0
- Tokenizers 0.19.1