---
library_name: peft
license: bigcode-openrail-m
base_model: bigcode/starcoderbase-1b
tags:
- generated_from_trainer
model-index:
- name: starcoder-peft-airscript
  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. -->

# starcoder-peft-airscript

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: 0.7248

## 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: 10
- eval_batch_size: 10
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 20
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 30
- training_steps: 1600

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 1.2597        | 0.0625 | 100  | 1.1604          |
| 0.9591        | 0.125  | 200  | 0.9402          |
| 0.8109        | 0.1875 | 300  | 0.8431          |
| 0.7151        | 0.25   | 400  | 0.7917          |
| 0.6362        | 0.3125 | 500  | 0.7607          |
| 0.5759        | 0.375  | 600  | 0.7401          |
| 0.5284        | 0.4375 | 700  | 0.7334          |
| 0.4926        | 0.5    | 800  | 0.7252          |
| 0.4616        | 0.5625 | 900  | 0.7212          |
| 0.4369        | 0.625  | 1000 | 0.7236          |
| 0.4111        | 0.6875 | 1100 | 0.7255          |
| 0.3969        | 0.75   | 1200 | 0.7236          |
| 0.3855        | 0.8125 | 1300 | 0.7260          |
| 0.3822        | 0.875  | 1400 | 0.7262          |
| 0.3768        | 0.9375 | 1500 | 0.7256          |
| 0.3778        | 1.0    | 1600 | 0.7248          |


### Framework versions

- PEFT 0.13.2
- Transformers 4.45.2
- Pytorch 2.5.0
- Datasets 3.0.1
- Tokenizers 0.20.1