---
library_name: peft
license: bigcode-openrail-m
base_model: bigcode/starcoderbase-1b
tags:
- generated_from_trainer
model-index:
- name: peft-starcoder-qlora-r
  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-qlora-r

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: 1.1974

## 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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 30
- training_steps: 2000

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.0603        | 0.05  | 100  | 1.1678          |
| 2.2372        | 0.1   | 200  | 1.1616          |
| 1.0571        | 0.15  | 300  | 1.1632          |
| 1.2376        | 0.2   | 400  | 1.1639          |
| 1.1043        | 0.25  | 500  | 1.1664          |
| 1.0032        | 0.3   | 600  | 1.1703          |
| 1.168         | 0.35  | 700  | 1.1713          |
| 0.9762        | 0.4   | 800  | 1.1749          |
| 2.2509        | 0.45  | 900  | 1.1789          |
| 1.0519        | 0.5   | 1000 | 1.1873          |
| 2.2067        | 0.55  | 1100 | 1.1825          |
| 1.0048        | 0.6   | 1200 | 1.1884          |
| 1.9986        | 0.65  | 1300 | 1.1865          |
| 1.0117        | 0.7   | 1400 | 1.1950          |
| 1.0123        | 0.75  | 1500 | 1.1916          |
| 2.1783        | 0.8   | 1600 | 1.1949          |
| 0.9197        | 0.85  | 1700 | 1.1943          |
| 2.1317        | 0.9   | 1800 | 1.1942          |
| 0.8868        | 0.95  | 1900 | 1.1985          |
| 1.008         | 1.0   | 2000 | 1.1974          |


### Framework versions

- PEFT 0.14.0
- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Datasets 3.3.0
- Tokenizers 0.21.0