---
base_model: bigcode/starcoder
library_name: peft
license: bigcode-openrail-m
tags:
- generated_from_trainer
model-index:
- name: starcoder-adb-sdk
  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-adb-sdk

This model is a fine-tuned version of [bigcode/starcoder](https://huggingface.co/bigcode/starcoder) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3868

## 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: 0.0003
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 2000

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.2629        | 0.05  | 100  | 0.7794          |
| 0.0853        | 0.1   | 200  | 1.0164          |
| 0.0548        | 0.15  | 300  | 1.1201          |
| 0.0409        | 0.2   | 400  | 1.1509          |
| 0.0372        | 0.25  | 500  | 1.1885          |
| 0.0346        | 0.3   | 600  | 1.2198          |
| 0.0299        | 0.35  | 700  | 1.2742          |
| 0.0288        | 0.4   | 800  | 1.2339          |
| 0.0264        | 0.45  | 900  | 1.2372          |
| 0.028         | 0.5   | 1000 | 1.3072          |
| 0.0278        | 0.55  | 1100 | 1.3365          |
| 0.023         | 0.6   | 1200 | 1.3397          |
| 0.0253        | 0.65  | 1300 | 1.2971          |
| 0.0242        | 0.7   | 1400 | 1.3585          |
| 0.0228        | 0.75  | 1500 | 1.3603          |
| 0.0206        | 0.8   | 1600 | 1.3733          |
| 0.0209        | 0.85  | 1700 | 1.3809          |
| 0.0226        | 0.9   | 1800 | 1.3890          |
| 0.0225        | 0.95  | 1900 | 1.3855          |
| 0.024         | 1.0   | 2000 | 1.3868          |


### Framework versions

- PEFT 0.13.3.dev0
- Transformers 4.46.0.dev0
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.1