---
base_model: bigcode/starcoderbase-1b
library_name: peft
license: bigcode-openrail-m
tags:
- generated_from_trainer
model-index:
- name: peft-starcoder-lora-a100-v2
  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. -->

# peft-starcoder-lora-a100-v2

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: 1.0597

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.9645        | 0.05  | 100  | 0.9190          |
| 0.9887        | 0.1   | 200  | 0.9473          |
| 0.6511        | 0.15  | 300  | 0.9643          |
| 0.8968        | 0.2   | 400  | 0.9887          |
| 0.9492        | 0.25  | 500  | 0.9737          |
| 0.5736        | 0.3   | 600  | 1.0122          |
| 0.7981        | 0.35  | 700  | 1.0187          |
| 0.8261        | 0.4   | 800  | 1.0111          |
| 0.5209        | 0.45  | 900  | 1.0211          |
| 0.7506        | 0.5   | 1000 | 1.0368          |
| 0.7714        | 0.55  | 1100 | 1.0341          |
| 0.4749        | 0.6   | 1200 | 1.0579          |
| 0.6965        | 0.65  | 1300 | 1.0432          |
| 0.6846        | 0.7   | 1400 | 1.0498          |
| 0.5398        | 0.75  | 1500 | 1.0556          |
| 0.6568        | 0.8   | 1600 | 1.0554          |
| 0.6013        | 0.85  | 1700 | 1.0604          |
| 0.6012        | 0.9   | 1800 | 1.0625          |
| 0.5548        | 0.95  | 1900 | 1.0622          |
| 0.5888        | 1.0   | 2000 | 1.0597          |


### Framework versions

- PEFT 0.11.1
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1