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

This model is a fine-tuned version of [bigcode/starcoder2-3b](https://huggingface.co/bigcode/starcoder2-3b) on [smangrul/hug_stack](https://huggingface.co/datasets/smangrul/hug_stack) dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5545

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.7019        | 0.05  | 100  | 0.7098          |
| 0.6817        | 0.1   | 200  | 0.6754          |
| 0.5772        | 0.15  | 300  | 0.6445          |
| 0.5836        | 0.2   | 400  | 0.6228          |
| 0.6057        | 0.25  | 500  | 0.6072          |
| 0.5309        | 0.3   | 600  | 0.5943          |
| 0.5099        | 0.35  | 700  | 0.5862          |
| 0.5115        | 0.4   | 800  | 0.5781          |
| 0.5103        | 0.45  | 900  | 0.5728          |
| 0.4101        | 0.5   | 1000 | 0.5685          |
| 0.4694        | 0.55  | 1100 | 0.5636          |
| 0.4364        | 0.6   | 1200 | 0.5605          |
| 0.4516        | 0.65  | 1300 | 0.5577          |
| 0.4283        | 0.7   | 1400 | 0.5570          |
| 0.4324        | 0.75  | 1500 | 0.5550          |
| 0.4693        | 0.8   | 1600 | 0.5554          |
| 0.444         | 0.85  | 1700 | 0.5548          |
| 0.4608        | 0.9   | 1800 | 0.5538          |
| 0.3891        | 0.95  | 1900 | 0.5548          |
| 0.4028        | 1.0   | 2000 | 0.5545          |


### Framework versions

- PEFT 0.9.1.dev0
- Transformers 4.39.0.dev0
- Pytorch 2.1.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2