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

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: 0.4760

## 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 |
|:-------------:|:------:|:----:|:---------------:|
| 0.9348        | 0.0211 | 13   | 0.7026          |
| 0.6609        | 0.0421 | 26   | 0.6960          |
| 0.6695        | 0.0632 | 39   | 0.6785          |
| 0.6578        | 0.0842 | 52   | 0.6770          |
| 0.6222        | 0.1053 | 65   | 0.6748          |
| 0.6331        | 0.1264 | 78   | 0.6662          |
| 0.6413        | 0.1474 | 91   | 0.6609          |
| 0.631         | 0.1685 | 104  | 0.6538          |
| 0.6115        | 0.1896 | 117  | 0.6490          |
| 0.6097        | 0.2106 | 130  | 0.6458          |
| 0.6052        | 0.2317 | 143  | 0.6533          |
| 0.6131        | 0.2527 | 156  | 0.6335          |
| 0.6012        | 0.2738 | 169  | 0.6165          |
| 0.6002        | 0.2949 | 182  | 0.6204          |
| 0.5849        | 0.3159 | 195  | 0.6220          |
| 0.5689        | 0.3370 | 208  | 0.6159          |
| 0.5781        | 0.3580 | 221  | 0.6110          |
| 0.5765        | 0.3791 | 234  | 0.6027          |
| 0.5899        | 0.4002 | 247  | 0.5983          |
| 0.5638        | 0.4212 | 260  | 0.5905          |
| 0.5716        | 0.4423 | 273  | 0.5874          |
| 0.5729        | 0.4633 | 286  | 0.5809          |
| 0.5691        | 0.4844 | 299  | 0.5729          |
| 0.5441        | 0.5055 | 312  | 0.5659          |
| 0.5468        | 0.5265 | 325  | 0.5584          |
| 0.536         | 0.5476 | 338  | 0.5544          |
| 0.5277        | 0.5687 | 351  | 0.5474          |
| 0.5052        | 0.5897 | 364  | 0.5397          |
| 0.5185        | 0.6108 | 377  | 0.5309          |
| 0.5161        | 0.6318 | 390  | 0.5262          |
| 0.5056        | 0.6529 | 403  | 0.5227          |
| 0.5091        | 0.6740 | 416  | 0.5164          |
| 0.492         | 0.6950 | 429  | 0.5115          |
| 0.4936        | 0.7161 | 442  | 0.5070          |
| 0.4818        | 0.7371 | 455  | 0.5005          |
| 0.4762        | 0.7582 | 468  | 0.4986          |
| 0.4685        | 0.7793 | 481  | 0.4938          |
| 0.4614        | 0.8003 | 494  | 0.4904          |
| 0.4942        | 0.8214 | 507  | 0.4870          |
| 0.4767        | 0.8424 | 520  | 0.4837          |
| 0.4589        | 0.8635 | 533  | 0.4819          |
| 0.4806        | 0.8846 | 546  | 0.4796          |
| 0.4647        | 0.9056 | 559  | 0.4782          |
| 0.461         | 0.9267 | 572  | 0.4773          |
| 0.4718        | 0.9478 | 585  | 0.4766          |
| 0.4684        | 0.9688 | 598  | 0.4761          |
| 0.4716        | 0.9899 | 611  | 0.4760          |


### Framework versions

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