---
license: bigcode-openrail-m
library_name: peft
tags:
- generated_from_trainer
base_model: bigcode/starcoder
model-index:
- name: Starcoder-StaproCoder
  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-StaproCoder

This model is a fine-tuned version of [bigcode/starcoder](https://huggingface.co/bigcode/starcoder) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2404

## 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: 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.3529        | 0.05  | 100  | 0.3017          |
| 0.3508        | 0.1   | 200  | 0.3189          |
| 0.3033        | 0.15  | 300  | 0.2719          |
| 0.2647        | 0.2   | 400  | 0.2645          |
| 0.2757        | 0.25  | 500  | 0.2583          |
| 0.1933        | 0.3   | 600  | 0.2514          |
| 0.2572        | 0.35  | 700  | 0.2471          |
| 0.2468        | 0.4   | 800  | 0.2496          |
| 0.2772        | 0.45  | 900  | 0.2444          |
| 0.2317        | 0.5   | 1000 | 0.2500          |
| 0.1994        | 0.55  | 1100 | 0.2452          |
| 0.2172        | 0.6   | 1200 | 0.2383          |
| 0.2098        | 0.65  | 1300 | 0.2409          |
| 0.2156        | 0.7   | 1400 | 0.2383          |
| 0.1733        | 0.75  | 1500 | 0.2417          |
| 0.1801        | 0.8   | 1600 | 0.2400          |
| 0.1295        | 0.85  | 1700 | 0.2417          |
| 0.1331        | 0.9   | 1800 | 0.2399          |
| 0.1997        | 0.95  | 1900 | 0.2406          |
| 0.1827        | 1.0   | 2000 | 0.2404          |


### Framework versions

- PEFT 0.9.0
- Transformers 4.39.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2