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

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: 0.0260

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.6729        | 0.05  | 100  | 0.4826          |
| 0.2531        | 0.1   | 200  | 0.1244          |
| 0.1321        | 0.15  | 300  | 0.0677          |
| 0.0992        | 0.2   | 400  | 0.0516          |
| 0.0789        | 0.25  | 500  | 0.0456          |
| 0.0744        | 0.3   | 600  | 0.0422          |
| 0.0661        | 0.35  | 700  | 0.0373          |
| 0.0581        | 0.4   | 800  | 0.0338          |
| 0.056         | 0.45  | 900  | 0.0328          |
| 0.0522        | 0.5   | 1000 | 0.0318          |
| 0.0497        | 0.55  | 1100 | 0.0310          |
| 0.0474        | 0.6   | 1200 | 0.0292          |
| 0.0451        | 0.65  | 1300 | 0.0282          |
| 0.0436        | 0.7   | 1400 | 0.0277          |
| 0.0409        | 0.75  | 1500 | 0.0273          |
| 0.0419        | 0.8   | 1600 | 0.0267          |
| 0.0424        | 0.85  | 1700 | 0.0262          |
| 0.0391        | 0.9   | 1800 | 0.0261          |
| 0.0388        | 0.95  | 1900 | 0.0260          |
| 0.0391        | 1.0   | 2000 | 0.0260          |


### Framework versions

- PEFT 0.15.2
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.5.1
- Tokenizers 0.21.1