---
library_name: peft
license: other
base_model: unsloth/Llama-3.2-3B-Instruct
tags:
- llama-factory
- lora
- unsloth
- generated_from_trainer
model-index:
- name: llm3br256
  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. -->

# llm3br256

This model is a fine-tuned version of [meta-llama/Llama-3.2-3B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-3B-Instruct) on the relianceV2 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0118

## 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: 0.0001
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Use OptimizerNames.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_ratio: 0.1
- num_epochs: 5.0

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.0395        | 0.2424 | 5    | 0.0433          |
| 0.0324        | 0.4848 | 10   | 0.0300          |
| 0.024         | 0.7273 | 15   | 0.0244          |
| 0.0189        | 0.9697 | 20   | 0.0212          |
| 0.0171        | 1.2303 | 25   | 0.0190          |
| 0.0146        | 1.4727 | 30   | 0.0173          |
| 0.0144        | 1.7152 | 35   | 0.0161          |
| 0.0104        | 1.9576 | 40   | 0.0155          |
| 0.0143        | 2.2182 | 45   | 0.0152          |
| 0.0117        | 2.4606 | 50   | 0.0141          |
| 0.015         | 2.7030 | 55   | 0.0136          |
| 0.0092        | 2.9455 | 60   | 0.0131          |
| 0.008         | 3.2061 | 65   | 0.0127          |
| 0.0109        | 3.4485 | 70   | 0.0125          |
| 0.0085        | 3.6909 | 75   | 0.0122          |
| 0.0089        | 3.9333 | 80   | 0.0120          |
| 0.0074        | 4.1939 | 85   | 0.0118          |
| 0.0074        | 4.4364 | 90   | 0.0118          |
| 0.0066        | 4.6788 | 95   | 0.0118          |
| 0.0065        | 4.9212 | 100  | 0.0118          |


### Framework versions

- PEFT 0.12.0
- Transformers 4.46.1
- Pytorch 2.4.0+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3