---
license: mit
library_name: peft
tags:
- generated_from_trainer
base_model: EleutherAI/gpt-neo-1.3B
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 [EleutherAI/gpt-neo-1.3B](https://huggingface.co/EleutherAI/gpt-neo-1.3B) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9114

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 1.4496        | 0.05  | 100  | 0.9015          |
| 0.9852        | 0.1   | 200  | 0.8839          |
| 0.7642        | 0.15  | 300  | 0.8856          |
| 1.1261        | 0.2   | 400  | 0.8876          |
| 0.8212        | 0.25  | 500  | 0.8850          |
| 0.6402        | 0.3   | 600  | 0.8740          |
| 0.6944        | 0.35  | 700  | 0.8867          |
| 0.7385        | 0.4   | 800  | 0.8854          |
| 0.821         | 0.45  | 900  | 0.8824          |
| 0.5807        | 0.5   | 1000 | 0.8902          |
| 0.8403        | 0.55  | 1100 | 0.8986          |
| 0.7615        | 0.6   | 1200 | 0.8962          |
| 0.5245        | 0.65  | 1300 | 0.8974          |
| 0.7926        | 0.7   | 1400 | 0.9113          |
| 0.7051        | 0.75  | 1500 | 0.9064          |
| 0.6337        | 0.8   | 1600 | 0.9068          |
| 0.5369        | 0.85  | 1700 | 0.9126          |
| 0.7193        | 0.9   | 1800 | 0.9144          |
| 0.7216        | 0.95  | 1900 | 0.9111          |
| 0.4985        | 1.0   | 2000 | 0.9114          |


### Framework versions

- PEFT 0.11.1
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1