---
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: 0.7155

## 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: 1700

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 1.2691        | 0.0588 | 100  | 1.1636          |
| 0.9655        | 0.1176 | 200  | 0.9384          |
| 0.8138        | 0.1765 | 300  | 0.8387          |
| 0.719         | 0.2353 | 400  | 0.7847          |
| 0.6408        | 0.2941 | 500  | 0.7503          |
| 0.5788        | 0.3529 | 600  | 0.7314          |
| 0.5386        | 0.4118 | 700  | 0.7168          |
| 0.4894        | 0.4706 | 800  | 0.7156          |
| 0.4583        | 0.5294 | 900  | 0.7101          |
| 0.4271        | 0.5882 | 1000 | 0.7070          |
| 0.4053        | 0.6471 | 1100 | 0.7117          |
| 0.3934        | 0.7059 | 1200 | 0.7123          |
| 0.379         | 0.7647 | 1300 | 0.7143          |
| 0.3666        | 0.8235 | 1400 | 0.7171          |
| 0.363         | 0.8824 | 1500 | 0.7171          |
| 0.3588        | 0.9412 | 1600 | 0.7163          |
| 0.357         | 1.0    | 1700 | 0.7155          |


### Framework versions

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