---
license: bigcode-openrail-m
base_model: bigcode/starcoder
tags:
- generated_from_trainer
model-index:
- name: starcoder-c2py-testprogram
  results: []
library_name: peft
---

<!-- 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-c2py-testprogram

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: 0.1295

## 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: 5e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 10
- training_steps: 100

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.1742        | 0.05  | 5    | 0.1665          |
| 0.1587        | 0.1   | 10   | 0.1619          |
| 0.1361        | 0.15  | 15   | 0.1568          |
| 0.1516        | 0.2   | 20   | 0.1486          |
| 0.141         | 0.25  | 25   | 0.1429          |
| 0.1292        | 0.3   | 30   | 0.1405          |
| 0.1461        | 0.35  | 35   | 0.1374          |
| 0.09          | 0.4   | 40   | 0.1351          |
| 0.1149        | 0.45  | 45   | 0.1332          |
| 0.1296        | 0.5   | 50   | 0.1325          |
| 0.1069        | 1.05  | 55   | 0.1334          |
| 0.1046        | 1.1   | 60   | 0.1320          |
| 0.0969        | 1.15  | 65   | 0.1308          |
| 0.1141        | 1.2   | 70   | 0.1304          |
| 0.1182        | 1.25  | 75   | 0.1300          |
| 0.1112        | 1.3   | 80   | 0.1297          |
| 0.1278        | 1.35  | 85   | 0.1295          |
| 0.0794        | 1.4   | 90   | 0.1295          |
| 0.1067        | 1.45  | 95   | 0.1295          |
| 0.1164        | 1.5   | 100  | 0.1295          |


### Framework versions

- PEFT 0.5.0.dev0
- PEFT 0.5.0.dev0
- PEFT 0.5.0.dev0
- PEFT 0.5.0.dev0
- PEFT 0.5.0.dev0
- PEFT 0.5.0.dev0
- PEFT 0.5.0.dev0
- PEFT 0.5.0.dev0
- Transformers 4.32.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.12.0
- Tokenizers 0.13.3