---
license: bigcode-openrail-m
base_model: bigcode/starcoder
tags:
- generated_from_trainer
model-index:
- name: starcoder-c2py-snippet1
  results: []
library_name: peft
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# starcoder-c2py-snippet1

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: 0.2014

## 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: 9e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 8.2651        | 0.1   | 10   | 4.2201          |
| 0.9761        | 0.2   | 20   | 0.5205          |
| 0.3183        | 0.3   | 30   | 0.2766          |
| 0.1887        | 1.04  | 40   | 0.2384          |
| 0.1867        | 1.14  | 50   | 0.2171          |
| 0.1732        | 1.24  | 60   | 0.2072          |
| 0.156         | 1.34  | 70   | 0.2034          |
| 0.1415        | 2.08  | 80   | 0.2022          |
| 0.1614        | 2.17  | 90   | 0.2016          |
| 0.1568        | 2.27  | 100  | 0.2014          |


### Framework versions

- 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