---
library_name: peft
license: bigcode-openrail-m
base_model: bigcode/starcoder2-3b
tags:
- axolotl
- generated_from_trainer
model-index:
- name: b06b602d-cb36-4a5c-a117-fc3d6f1aeb04
  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/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl)
<br>

# b06b602d-cb36-4a5c-a117-fc3d6f1aeb04

This model is a fine-tuned version of [bigcode/starcoder2-3b](https://huggingface.co/bigcode/starcoder2-3b) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2023

## 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: 0.000218
- train_batch_size: 4
- eval_batch_size: 4
- seed: 180
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 50
- training_steps: 500

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| No log        | 0.0001 | 1    | 3.9568          |
| 4.1677        | 0.0033 | 50   | 1.8522          |
| 3.07          | 0.0067 | 100  | 1.6625          |
| 2.7983        | 0.0100 | 150  | 1.6193          |
| 2.6458        | 0.0133 | 200  | 1.5221          |
| 2.7297        | 0.0167 | 250  | 1.3811          |
| 2.5191        | 0.0200 | 300  | 1.3754          |
| 2.3189        | 0.0233 | 350  | 1.3098          |
| 2.551         | 0.0267 | 400  | 1.2394          |
| 1.7449        | 0.0300 | 450  | 1.2025          |
| 1.87          | 0.0333 | 500  | 1.2023          |


### Framework versions

- PEFT 0.13.2
- Transformers 4.46.0
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1