---
license: bigcode-openrail-m
library_name: peft
tags:
- generated_from_trainer
base_model: bigcode/starcoderbase-3b
model-index:
- name: peft-starcoder-lora-a100
  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-starcoder-lora-a100

This model is a fine-tuned version of [bigcode/starcoderbase-3b](https://huggingface.co/bigcode/starcoderbase-3b) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.8938

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 30
- training_steps: 2000

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.2519        | 0.05  | 100  | 1.2670          |
| 1.1574        | 0.1   | 200  | 1.2857          |
| 1.0988        | 0.15  | 300  | 1.3103          |
| 0.9577        | 0.2   | 400  | 1.3922          |
| 0.9345        | 0.25  | 500  | 1.4669          |
| 0.8145        | 0.3   | 600  | 1.5009          |
| 0.7423        | 0.35  | 700  | 1.5764          |
| 0.7225        | 0.4   | 800  | 1.6063          |
| 0.6379        | 0.45  | 900  | 1.6696          |
| 0.6335        | 0.5   | 1000 | 1.7408          |
| 0.5733        | 0.55  | 1100 | 1.7548          |
| 0.5503        | 0.6   | 1200 | 1.7962          |
| 0.5309        | 0.65  | 1300 | 1.7991          |
| 0.4949        | 0.7   | 1400 | 1.8356          |
| 0.4961        | 0.75  | 1500 | 1.8625          |
| 0.4769        | 0.8   | 1600 | 1.8737          |
| 0.4658        | 0.85  | 1700 | 1.8858          |
| 0.4655        | 0.9   | 1800 | 1.8888          |
| 0.4604        | 0.95  | 1900 | 1.8943          |
| 0.4568        | 1.0   | 2000 | 1.8938          |


### Framework versions

- PEFT 0.8.2
- Transformers 4.39.1
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2