---
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: 0.8171

## 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: 1400

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.9892        | 0.0714 | 100  | 0.9351          |
| 0.7083        | 0.1429 | 200  | 0.7751          |
| 0.5442        | 0.2143 | 300  | 0.7227          |
| 0.4403        | 0.2857 | 400  | 0.7127          |
| 0.3724        | 0.3571 | 500  | 0.7285          |
| 0.3268        | 0.4286 | 600  | 0.7396          |
| 0.3057        | 0.5    | 700  | 0.7587          |
| 0.2798        | 0.5714 | 800  | 0.7704          |
| 0.2616        | 0.6429 | 900  | 0.7888          |
| 0.2418        | 0.7143 | 1000 | 0.8010          |
| 0.2314        | 0.7857 | 1100 | 0.8092          |
| 0.2268        | 0.8571 | 1200 | 0.8147          |
| 0.223         | 0.9286 | 1300 | 0.8185          |
| 0.2207        | 1.0    | 1400 | 0.8171          |


### Framework versions

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