---
license: bigcode-openrail-m
base_model: bigcode/starcoder
tags:
- generated_from_trainer
model-index:
- name: starcoder-c2py-program2
  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-c2py-program2

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: 0.1247

## 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: 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: 5
- training_steps: 50

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.1225        | 0.1   | 5    | 0.1276          |
| 0.1155        | 0.2   | 10   | 0.1267          |
| 0.1122        | 0.3   | 15   | 0.1264          |
| 0.1092        | 0.4   | 20   | 0.1261          |
| 0.1051        | 0.5   | 25   | 0.1255          |
| 0.1082        | 0.6   | 30   | 0.1252          |
| 0.1111        | 0.7   | 35   | 0.1249          |
| 0.0966        | 0.8   | 40   | 0.1248          |
| 0.1019        | 0.9   | 45   | 0.1247          |
| 0.1331        | 1.0   | 50   | 0.1247          |


### Framework versions

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