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

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: 0.1863

## 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: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 25
- training_steps: 275

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 6.5337        | 0.09  | 25   | 0.7416          |
| 0.4715        | 0.18  | 50   | 0.2515          |
| 0.2329        | 0.27  | 75   | 0.2060          |
| 0.2093        | 0.36  | 100  | 0.1973          |
| 0.1994        | 0.45  | 125  | 0.1935          |
| 0.1836        | 1.03  | 150  | 0.1893          |
| 0.1912        | 1.12  | 175  | 0.1877          |
| 0.1947        | 1.21  | 200  | 0.1870          |
| 0.194         | 1.3   | 225  | 0.1865          |
| 0.1908        | 1.39  | 250  | 0.1863          |
| 0.1845        | 1.48  | 275  | 0.1863          |


### Framework versions

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