---
license: bigcode-openrail-m
base_model: bigcode/starcoder
tags:
- generated_from_trainer
model-index:
- name: starcoder-finetuned-cpp2py
  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-finetuned-cpp2py

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: 0.3484

## 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: 2e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- training_steps: 1000

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.892         | 0.1   | 100  | 0.4126          |
| 0.4991        | 0.2   | 200  | 0.3559          |
| 0.4578        | 0.3   | 300  | 0.3554          |
| 0.4463        | 0.4   | 400  | 0.3514          |
| 0.4381        | 0.5   | 500  | 0.3522          |
| 0.4365        | 0.6   | 600  | 0.3496          |
| 0.4322        | 0.7   | 700  | 0.3498          |
| 0.4332        | 0.8   | 800  | 0.3485          |
| 0.4297        | 0.9   | 900  | 0.3492          |
| 0.432         | 1.0   | 1000 | 0.3484          |


### Framework versions

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