---
library_name: peft
tags:
- generated_from_trainer
base_model: bigcode/starcoder2-15b
model-index:
- name: peft-lora-starcoder2-15b-flutter-copilot
  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-lora-starcoder2-15b-flutter-copilot

This model is a fine-tuned version of [bigcode/starcoder2-15b](https://huggingface.co/bigcode/starcoder2-15b) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3895

## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 2000

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.9837        | 0.05  | 100  | 0.4444          |
| 0.213         | 0.1   | 200  | 0.4486          |
| 0.4039        | 0.15  | 300  | 0.4082          |
| 0.3069        | 0.2   | 400  | 0.4030          |
| 0.3163        | 0.25  | 500  | 0.4044          |
| 0.7574        | 0.3   | 600  | 0.4008          |
| 0.4859        | 0.35  | 700  | 0.3990          |
| 0.5048        | 0.4   | 800  | 0.3984          |
| 0.4226        | 0.45  | 900  | 0.3962          |
| 3.584         | 0.5   | 1000 | 0.3959          |
| 0.624         | 0.55  | 1100 | 0.3958          |
| 0.2663        | 0.6   | 1200 | 0.3954          |
| 0.496         | 0.65  | 1300 | 0.3947          |
| 0.6882        | 0.7   | 1400 | 0.3950          |
| 0.4147        | 0.75  | 1500 | 0.3937          |
| 0.5237        | 0.8   | 1600 | 0.3922          |
| 0.626         | 0.85  | 1700 | 0.3909          |
| 0.6625        | 0.9   | 1800 | 0.3897          |
| 0.6163        | 0.95  | 1900 | 0.3896          |
| 0.5014        | 1.0   | 2000 | 0.3895          |


### Framework versions

- PEFT 0.9.1.dev0
- Transformers 4.39.0.dev0
- Pytorch 2.2.1
- Datasets 2.18.0
- Tokenizers 0.15.2