---
license: bigscience-openrail-m
library_name: peft
tags:
- generated_from_trainer
base_model: WizardLM/WizardCoder-15B-V1.0
model-index:
- name: Wizardcoder13B-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. -->

# Wizardcoder13B-StaproCoder

This model is a fine-tuned version of [WizardLM/WizardCoder-15B-V1.0](https://huggingface.co/WizardLM/WizardCoder-15B-V1.0) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2314

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.2997        | 0.05  | 100  | 0.3043          |
| 0.3811        | 0.1   | 200  | 0.2913          |
| 0.242         | 0.15  | 300  | 0.2843          |
| 0.2858        | 0.2   | 400  | 0.2756          |
| 0.1813        | 0.25  | 500  | 0.2758          |
| 0.2717        | 0.3   | 600  | 0.2656          |
| 0.2431        | 0.35  | 700  | 0.2660          |
| 0.3395        | 0.4   | 800  | 0.4781          |
| 0.3274        | 0.45  | 900  | 0.2493          |
| 0.1886        | 0.5   | 1000 | 0.2451          |
| 0.1963        | 0.55  | 1100 | 0.2422          |
| 0.2548        | 0.6   | 1200 | 0.2401          |
| 0.3505        | 0.65  | 1300 | 0.2363          |
| 0.2788        | 0.7   | 1400 | 0.2344          |
| 0.186         | 0.75  | 1500 | 0.2323          |
| 0.1847        | 0.8   | 1600 | 0.2325          |
| 0.2109        | 0.85  | 1700 | 0.2313          |
| 0.2144        | 0.9   | 1800 | 0.2316          |
| 0.2038        | 0.95  | 1900 | 0.2316          |
| 0.2071        | 1.0   | 2000 | 0.2314          |


### Framework versions

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