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---
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: []
---
<!-- 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. -->
# my DC sever
https://discord.gg/yaTfFF6Ut2
# 我正在計畫微調64K指令模型，請幫助我進行計畫
Support me here if you're interested:
# Ko-fi: https://ko-fi.com/ogodwin10
# 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|
|