---
library_name: peft
license: other
base_model: unsloth/llama-3.2-3b-instruct-bnb-4bit
tags:
- llama-factory
- lora
- unsloth
- generated_from_trainer
model-index:
- name: llm3br256-v
  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-v

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 Goavanto dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0185

## 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: 48
- eval_batch_size: 48
- seed: 42
- 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: 25

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.1227        | 0.2475 | 25   | 0.1074          |
| 0.0553        | 0.4950 | 50   | 0.0551          |
| 0.0338        | 0.7426 | 75   | 0.0350          |
| 0.0302        | 0.9901 | 100  | 0.0277          |
| 0.0373        | 1.2376 | 125  | 0.0256          |
| 0.0321        | 1.4851 | 150  | 0.0251          |
| 0.026         | 1.7327 | 175  | 0.0228          |
| 0.029         | 1.9802 | 200  | 0.0212          |
| 0.0152        | 2.2277 | 225  | 0.0216          |
| 0.011         | 2.4752 | 250  | 0.0205          |
| 0.0154        | 2.7228 | 275  | 0.0194          |
| 0.021         | 2.9703 | 300  | 0.0192          |
| 0.0282        | 3.2178 | 325  | 0.0186          |
| 0.007         | 3.4653 | 350  | 0.0181          |
| 0.017         | 3.7129 | 375  | 0.0188          |
| 0.0315        | 3.9604 | 400  | 0.0185          |
| 0.0156        | 4.2079 | 425  | 0.0193          |
| 0.0059        | 4.4554 | 450  | 0.0197          |
| 0.0136        | 4.7030 | 475  | 0.0198          |
| 0.0092        | 4.9505 | 500  | 0.0217          |
| 0.008         | 5.1980 | 525  | 0.0189          |


### Framework versions

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