---
base_model: bigcode/starcoderbase-1b
library_name: peft
license: bigcode-openrail-m
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: 1.0561

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.9659        | 0.05  | 100  | 0.9182          |
| 0.9787        | 0.1   | 200  | 0.9662          |
| 0.6794        | 0.15  | 300  | 0.9643          |
| 0.8904        | 0.2   | 400  | 0.9859          |
| 0.9475        | 0.25  | 500  | 0.9722          |
| 0.6104        | 0.3   | 600  | 1.0055          |
| 0.7898        | 0.35  | 700  | 1.0080          |
| 0.867         | 0.4   | 800  | 1.0084          |
| 0.5121        | 0.45  | 900  | 1.0247          |
| 0.6899        | 0.5   | 1000 | 1.0339          |
| 0.7746        | 0.55  | 1100 | 1.0371          |
| 0.478         | 0.6   | 1200 | 1.0430          |
| 0.7257        | 0.65  | 1300 | 1.0464          |
| 0.6989        | 0.7   | 1400 | 1.0504          |
| 0.5822        | 0.75  | 1500 | 1.0560          |
| 0.6881        | 0.8   | 1600 | 1.0522          |
| 0.5939        | 0.85  | 1700 | 1.0582          |
| 0.632         | 0.9   | 1800 | 1.0598          |
| 0.6888        | 0.95  | 1900 | 1.0579          |
| 0.5719        | 1.0   | 2000 | 1.0561          |


### Framework versions

- PEFT 0.13.0
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1