---
license: bigcode-openrail-m
library_name: peft
tags:
- generated_from_trainer
base_model: bigcode/starcoderbase-1b
model-index:
- name: code_example
  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. -->

# code_example

This model is a fine-tuned version of [bigcode/starcoderbase-1b](https://huggingface.co/bigcode/starcoderbase-1b) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0596

## 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: 0.0005
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 30
- training_steps: 2000

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.9662        | 0.05  | 100  | 0.9184          |
| 0.9899        | 0.1   | 200  | 0.9461          |
| 0.6517        | 0.15  | 300  | 0.9698          |
| 0.8963        | 0.2   | 400  | 0.9823          |
| 0.9498        | 0.25  | 500  | 0.9727          |
| 0.5741        | 0.3   | 600  | 1.0098          |
| 0.7985        | 0.35  | 700  | 1.0212          |
| 0.8268        | 0.4   | 800  | 1.0123          |
| 0.5209        | 0.45  | 900  | 1.0178          |
| 0.7512        | 0.5   | 1000 | 1.0302          |
| 0.7718        | 0.55  | 1100 | 1.0342          |
| 0.4746        | 0.6   | 1200 | 1.0492          |
| 0.6964        | 0.65  | 1300 | 1.0394          |
| 0.6844        | 0.7   | 1400 | 1.0471          |
| 0.5396        | 0.75  | 1500 | 1.0495          |
| 0.6569        | 0.8   | 1600 | 1.0553          |
| 0.6005        | 0.85  | 1700 | 1.0609          |
| 0.6015        | 0.9   | 1800 | 1.0632          |
| 0.5552        | 0.95  | 1900 | 1.0620          |
| 0.5883        | 1.0   | 2000 | 1.0596          |


### Framework versions

- PEFT 0.8.2
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2