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

# starcoder-3b-hugcoder-loftq

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: 0.6305

## 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: 0.0002
- train_batch_size: 16
- eval_batch_size: 16
- seed: 11
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 1.2064        | 0.05  | 100  | 0.7876          |
| 0.9806        | 0.1   | 200  | 0.7596          |
| 0.8669        | 0.15  | 300  | 0.7397          |
| 0.8555        | 0.2   | 400  | 0.7204          |
| 0.8566        | 0.25  | 500  | 0.7058          |
| 0.7643        | 0.3   | 600  | 0.6911          |
| 0.7464        | 0.35  | 700  | 0.6801          |
| 0.734         | 0.4   | 800  | 0.6697          |
| 0.7209        | 0.45  | 900  | 0.6608          |
| 0.6477        | 0.5   | 1000 | 0.6537          |
| 0.7292        | 0.55  | 1100 | 0.6475          |
| 0.6612        | 0.6   | 1200 | 0.6434          |
| 0.6808        | 0.65  | 1300 | 0.6393          |
| 0.6586        | 0.7   | 1400 | 0.6365          |
| 0.662         | 0.75  | 1500 | 0.6333          |
| 0.7034        | 0.8   | 1600 | 0.6322          |
| 0.683         | 0.85  | 1700 | 0.6309          |
| 0.7074        | 0.9   | 1800 | 0.6303          |
| 0.6362        | 0.95  | 1900 | 0.6307          |
| 0.6617        | 1.0   | 2000 | 0.6305          |


### 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