---
base_model: unsloth/llama-3-8b
library_name: peft
license: llama3
tags:
- unsloth
- generated_from_trainer
model-index:
- name: Meta-Llama-3-8B_metamath_default
  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. -->

# Meta-Llama-3-8B_metamath_default

This model is a fine-tuned version of [unsloth/llama-3-8b](https://huggingface.co/unsloth/llama-3-8b) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5068

## 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: 0.0003
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.02
- num_epochs: 1

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.8666        | 0.0211 | 13   | 0.7509          |
| 0.6952        | 0.0421 | 26   | 0.7368          |
| 0.7079        | 0.0632 | 39   | 0.7196          |
| 0.6922        | 0.0842 | 52   | 0.7066          |
| 0.6565        | 0.1053 | 65   | 0.7074          |
| 0.6791        | 0.1264 | 78   | 0.7263          |
| 0.6858        | 0.1474 | 91   | 0.7019          |
| 0.6693        | 0.1685 | 104  | 0.6926          |
| 0.6503        | 0.1896 | 117  | 0.6922          |
| 0.6488        | 0.2106 | 130  | 0.6925          |
| 0.6505        | 0.2317 | 143  | 0.6844          |
| 0.6533        | 0.2527 | 156  | 0.6842          |
| 0.6505        | 0.2738 | 169  | 0.6709          |
| 0.6456        | 0.2949 | 182  | 0.6661          |
| 0.6307        | 0.3159 | 195  | 0.6699          |
| 0.6144        | 0.3370 | 208  | 0.6629          |
| 0.6286        | 0.3580 | 221  | 0.6547          |
| 0.6261        | 0.3791 | 234  | 0.6469          |
| 0.6365        | 0.4002 | 247  | 0.6482          |
| 0.6108        | 0.4212 | 260  | 0.6428          |
| 0.6207        | 0.4423 | 273  | 0.6322          |
| 0.6219        | 0.4633 | 286  | 0.6265          |
| 0.6133        | 0.4844 | 299  | 0.6213          |
| 0.5944        | 0.5055 | 312  | 0.6138          |
| 0.5871        | 0.5265 | 325  | 0.6034          |
| 0.5827        | 0.5476 | 338  | 0.6013          |
| 0.5714        | 0.5687 | 351  | 0.5923          |
| 0.5512        | 0.5897 | 364  | 0.5849          |
| 0.5636        | 0.6108 | 377  | 0.5755          |
| 0.5564        | 0.6318 | 390  | 0.5684          |
| 0.5444        | 0.6529 | 403  | 0.5647          |
| 0.5431        | 0.6740 | 416  | 0.5582          |
| 0.5311        | 0.6950 | 429  | 0.5533          |
| 0.5323        | 0.7161 | 442  | 0.5458          |
| 0.5172        | 0.7371 | 455  | 0.5386          |
| 0.5113        | 0.7582 | 468  | 0.5341          |
| 0.4989        | 0.7793 | 481  | 0.5296          |
| 0.4929        | 0.8003 | 494  | 0.5264          |
| 0.5266        | 0.8214 | 507  | 0.5214          |
| 0.5075        | 0.8424 | 520  | 0.5184          |
| 0.4917        | 0.8635 | 533  | 0.5150          |
| 0.5078        | 0.8846 | 546  | 0.5124          |
| 0.4897        | 0.9056 | 559  | 0.5099          |
| 0.4879        | 0.9267 | 572  | 0.5081          |
| 0.5007        | 0.9478 | 585  | 0.5073          |
| 0.4979        | 0.9688 | 598  | 0.5071          |
| 0.4991        | 0.9899 | 611  | 0.5068          |


### Framework versions

- PEFT 0.12.0
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1