---
library_name: peft
license: llama3.2
base_model: meta-llama/Llama-3.2-1B-Instruct
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 [meta-llama/Llama-3.2-1B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-1B-Instruct) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4134

## 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: 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_steps: 30
- training_steps: 2000

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.4261        | 0.05  | 100  | 1.3509          |
| 1.3393        | 0.1   | 200  | 1.3586          |
| 1.5034        | 0.15  | 300  | 1.3774          |
| 1.0945        | 0.2   | 400  | 1.3768          |
| 1.3357        | 0.25  | 500  | 1.3915          |
| 1.3062        | 0.3   | 600  | 1.3792          |
| 1.2152        | 0.35  | 700  | 1.3873          |
| 1.269         | 0.4   | 800  | 1.3911          |
| 1.1954        | 0.45  | 900  | 1.3966          |
| 1.1436        | 0.5   | 1000 | 1.3949          |
| 0.9746        | 0.55  | 1100 | 1.3982          |
| 1.2696        | 0.6   | 1200 | 1.4043          |
| 1.0225        | 0.65  | 1300 | 1.4104          |
| 1.1184        | 0.7   | 1400 | 1.4065          |
| 1.212         | 0.75  | 1500 | 1.4089          |
| 1.3207        | 0.8   | 1600 | 1.4102          |
| 1.0669        | 0.85  | 1700 | 1.4143          |
| 1.1501        | 0.9   | 1800 | 1.4133          |
| 1.2002        | 0.95  | 1900 | 1.4128          |
| 1.0119        | 1.0   | 2000 | 1.4134          |


### Framework versions

- PEFT 0.14.0
- Transformers 4.47.1
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0