---
base_model: bigcode/starcoderbase-1b
library_name: peft
license: bigcode-openrail-m
tags:
- generated_from_trainer
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-1b](https://huggingface.co/bigcode/starcoderbase-1b) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0589

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.9658        | 0.05  | 100  | 0.9191          |
| 0.9898        | 0.1   | 200  | 0.9442          |
| 0.6517        | 0.15  | 300  | 0.9692          |
| 0.897         | 0.2   | 400  | 0.9819          |
| 0.95          | 0.25  | 500  | 0.9716          |
| 0.5738        | 0.3   | 600  | 1.0076          |
| 0.7986        | 0.35  | 700  | 1.0174          |
| 0.8266        | 0.4   | 800  | 1.0125          |
| 0.5204        | 0.45  | 900  | 1.0194          |
| 0.7506        | 0.5   | 1000 | 1.0321          |
| 0.7718        | 0.55  | 1100 | 1.0358          |
| 0.4749        | 0.6   | 1200 | 1.0487          |
| 0.6962        | 0.65  | 1300 | 1.0383          |
| 0.6844        | 0.7   | 1400 | 1.0467          |
| 0.5396        | 0.75  | 1500 | 1.0512          |
| 0.6569        | 0.8   | 1600 | 1.0541          |
| 0.6003        | 0.85  | 1700 | 1.0600          |
| 0.6015        | 0.9   | 1800 | 1.0633          |
| 0.5552        | 0.95  | 1900 | 1.0614          |
| 0.5883        | 1.0   | 2000 | 1.0589          |


### Framework versions

- PEFT 0.12.0
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1