---
library_name: peft
license: llama3.2
base_model: meta-llama/Llama-3.2-3B-Instruct
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: Llama-3.2-3B-Instruct-combinedTask-extraData
  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. -->

# Llama-3.2-3B-Instruct-combinedTask-extraData

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 None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1110

## 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: 1e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 5
- total_train_batch_size: 5
- optimizer: Use paged_adamw_32bit with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.01
- num_epochs: 1
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| No log        | 0      | 0    | 1.9377          |
| 0.9095        | 0.0937 | 100  | 0.1349          |
| 0.6606        | 0.1873 | 200  | 0.1242          |
| 0.6203        | 0.2810 | 300  | 0.1202          |
| 0.381         | 0.3746 | 400  | 0.1173          |
| 0.4891        | 0.4683 | 500  | 0.1152          |
| 0.6971        | 0.5619 | 600  | 0.1139          |
| 0.4967        | 0.6556 | 700  | 0.1127          |
| 0.4527        | 0.7492 | 800  | 0.1118          |
| 0.4013        | 0.8429 | 900  | 0.1114          |
| 0.4653        | 0.9365 | 1000 | 0.1110          |


### Framework versions

- PEFT 0.13.2
- Transformers 4.46.0.dev0
- Pytorch 2.2.0
- Datasets 3.0.2
- Tokenizers 0.20.1