---
license: llama3.2
library_name: transformers
tags:
- llama-factory
- freeze
- generated_from_trainer
base_model: unsloth/Llama-3.2-3B-Instruct
model-index:
- name: Llama-3.2-3B-Instruct-24-9-29
  results: []
---

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# Llama-3.2-3B-Instruct-24-9-29

This model is a fine-tuned version of [unsloth/Llama-3.2-3B-Instruct](https://huggingface.co/unsloth/Llama-3.2-3B-Instruct) on the lmsys_chat dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1817

## 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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- training_steps: 1000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 1.256         | 0.0160 | 100  | 1.1817          |
| 1.236         | 0.0320 | 200  | 1.1817          |
| 1.2212        | 0.0480 | 300  | 1.1817          |
| 1.1804        | 0.0641 | 400  | 1.1817          |
| 1.2801        | 0.0801 | 500  | 1.1817          |
| 1.2232        | 0.0961 | 600  | 1.1817          |
| 1.2433        | 0.1121 | 700  | 1.1817          |
| 1.2231        | 0.1281 | 800  | 1.1817          |
| 1.2272        | 0.1441 | 900  | 1.1817          |
| 1.2843        | 0.1602 | 1000 | 1.1817          |


### Framework versions

- Transformers 4.45.0
- Pytorch 2.4.0+cu124
- Datasets 2.19.1
- Tokenizers 0.20.0
# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_win10__Llama-3.2-3B-Instruct-24-9-29)

|      Metric       |Value|
|-------------------|----:|
|Avg.               |23.70|
|IFEval (0-Shot)    |73.32|
|BBH (3-Shot)       |24.20|
|MATH Lvl 5 (4-Shot)|15.26|
|GPQA (0-shot)      | 3.24|
|MuSR (0-shot)      | 1.44|
|MMLU-PRO (5-shot)  |24.76|