---
license: bigcode-openrail-m
base_model: bigcode/starcoder
tags:
- generated_from_trainer
model-index:
- name: starcoder-tune-cpp2py-snippet3
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# starcoder-tune-cpp2py-snippet3

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: 0.3489

## 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-06
- 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: 50
- training_steps: 500

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.5147        | 0.1   | 50   | 0.4060          |
| 0.4403        | 0.2   | 100  | 0.3419          |
| 0.425         | 0.3   | 150  | 0.3437          |
| 0.4298        | 0.4   | 200  | 0.3459          |
| 0.4259        | 0.5   | 250  | 0.3480          |
| 0.4167        | 0.6   | 300  | 0.3487          |
| 0.421         | 0.7   | 350  | 0.3485          |
| 0.4289        | 0.8   | 400  | 0.3487          |
| 0.424         | 0.9   | 450  | 0.3489          |
| 0.4163        | 1.0   | 500  | 0.3489          |


### Framework versions

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