---
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: 1.5624

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.2574        | 0.05  | 100  | 0.9670          |
| 0.1994        | 0.1   | 200  | 1.0338          |
| 0.1515        | 0.15  | 300  | 1.1043          |
| 0.1391        | 0.2   | 400  | 1.1603          |
| 0.1373        | 0.25  | 500  | 1.2171          |
| 0.1007        | 0.3   | 600  | 1.2480          |
| 0.0987        | 0.35  | 700  | 1.2648          |
| 0.0811        | 0.4   | 800  | 1.2875          |
| 0.0743        | 0.45  | 900  | 1.3243          |
| 0.0694        | 0.5   | 1000 | 1.3702          |
| 0.0565        | 0.55  | 1100 | 1.3839          |
| 0.0631        | 0.6   | 1200 | 1.4482          |
| 0.0511        | 0.65  | 1300 | 1.4734          |
| 0.0436        | 0.7   | 1400 | 1.5073          |
| 0.0415        | 0.75  | 1500 | 1.5295          |
| 0.0394        | 0.8   | 1600 | 1.5387          |
| 0.0374        | 0.85  | 1700 | 1.5535          |
| 0.0383        | 0.9   | 1800 | 1.5564          |
| 0.0364        | 0.95  | 1900 | 1.5632          |
| 0.041         | 1.0   | 2000 | 1.5624          |


### Framework versions

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