---
library_name: peft
license: bigcode-openrail-m
base_model: bigcode/starcoderbase-1b
tags:
- base_model:adapter:bigcode/starcoderbase-1b
- lora
- transformers
pipeline_tag: text-generation
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: 3.3521

## 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: 12
- eval_batch_size: 12
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 5.1602        | 0.05  | 100  | 3.3944          |
| 4.9152        | 0.1   | 200  | 3.3911          |
| 4.864         | 0.15  | 300  | 3.3850          |
| 5.0538        | 0.2   | 400  | 3.3808          |
| 5.0474        | 0.25  | 500  | 3.3748          |
| 5.7174        | 0.3   | 600  | 3.3669          |
| 4.8981        | 0.35  | 700  | 3.3714          |
| 5.3039        | 0.4   | 800  | 3.3702          |
| 5.5544        | 0.45  | 900  | 3.3721          |
| 5.4907        | 0.5   | 1000 | 3.3747          |
| 2.8972        | 0.55  | 1100 | 3.3880          |
| 4.6895        | 0.6   | 1200 | 3.3689          |
| 4.4027        | 0.65  | 1300 | 3.3708          |
| 5.6217        | 0.7   | 1400 | 3.3690          |
| 5.0912        | 0.75  | 1500 | 3.3651          |
| 5.3595        | 0.8   | 1600 | 3.3628          |
| 4.3603        | 0.85  | 1700 | 3.3541          |
| 4.7773        | 0.9   | 1800 | 3.3548          |
| 3.3149        | 0.95  | 1900 | 3.3524          |
| 4.9032        | 1.0   | 2000 | 3.3521          |


### Framework versions

- PEFT 0.18.0
- Transformers 4.57.3
- Pytorch 2.9.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1