---
base_model: meta-llama/Llama-3.2-3B-Instruct
library_name: peft
license: llama3.2
tags:
- generated_from_trainer
model-index:
- name: Final_Model
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Final_Model

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 an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8592

## 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: 3e-05
- train_batch_size: 1
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- 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: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 6
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.9709        | 0.9995 | 231  | 0.9373          |
| 0.9107        | 1.9989 | 462  | 0.8998          |
| 0.8754        | 2.9984 | 693  | 0.8803          |
| 0.8334        | 3.9978 | 924  | 0.8679          |
| 0.8159        | 4.9973 | 1155 | 0.8614          |
| 0.8283        | 5.9968 | 1386 | 0.8592          |


### Framework versions

- PEFT 0.13.2
- Transformers 4.46.2
- Pytorch 2.0.1+cu117
- Datasets 3.1.0
- Tokenizers 0.20.3