---
license: llama3
library_name: peft
tags:
- unsloth
- generated_from_trainer
base_model: meta-llama/Meta-Llama-3-8B
model-index:
- name: meta_llama_3_MetaMathQA_40K_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_MetaMathQA_40K_ortho

This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5219

## 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: 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_steps: 0.02
- num_epochs: 1

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.8807        | 0.0211 | 13   | 0.6706          |
| 0.6201        | 0.0421 | 26   | 0.6389          |
| 0.605         | 0.0632 | 39   | 0.6211          |
| 0.5929        | 0.0842 | 52   | 0.6119          |
| 0.5555        | 0.1053 | 65   | 0.6045          |
| 0.5689        | 0.1264 | 78   | 0.5980          |
| 0.5767        | 0.1474 | 91   | 0.5914          |
| 0.5584        | 0.1685 | 104  | 0.5886          |
| 0.5411        | 0.1896 | 117  | 0.5847          |
| 0.5417        | 0.2106 | 130  | 0.5829          |
| 0.5388        | 0.2317 | 143  | 0.5787          |
| 0.5473        | 0.2527 | 156  | 0.5748          |
| 0.5432        | 0.2738 | 169  | 0.5701          |
| 0.5402        | 0.2949 | 182  | 0.5677          |
| 0.5318        | 0.3159 | 195  | 0.5655          |
| 0.5155        | 0.3370 | 208  | 0.5627          |
| 0.5231        | 0.3580 | 221  | 0.5584          |
| 0.528         | 0.3791 | 234  | 0.5578          |
| 0.5372        | 0.4002 | 247  | 0.5545          |
| 0.5145        | 0.4212 | 260  | 0.5517          |
| 0.5246        | 0.4423 | 273  | 0.5487          |
| 0.5299        | 0.4633 | 286  | 0.5473          |
| 0.5297        | 0.4844 | 299  | 0.5445          |
| 0.5089        | 0.5055 | 312  | 0.5425          |
| 0.5208        | 0.5265 | 325  | 0.5409          |
| 0.5114        | 0.5476 | 338  | 0.5398          |
| 0.5092        | 0.5687 | 351  | 0.5384          |
| 0.4886        | 0.5897 | 364  | 0.5359          |
| 0.5121        | 0.6108 | 377  | 0.5337          |
| 0.5079        | 0.6318 | 390  | 0.5324          |
| 0.4996        | 0.6529 | 403  | 0.5310          |
| 0.505         | 0.6740 | 416  | 0.5301          |
| 0.5039        | 0.6950 | 429  | 0.5288          |
| 0.5073        | 0.7161 | 442  | 0.5275          |
| 0.4988        | 0.7371 | 455  | 0.5264          |
| 0.4857        | 0.7582 | 468  | 0.5260          |
| 0.4889        | 0.7793 | 481  | 0.5252          |
| 0.4836        | 0.8003 | 494  | 0.5244          |
| 0.5181        | 0.8214 | 507  | 0.5237          |
| 0.5052        | 0.8424 | 520  | 0.5231          |
| 0.4908        | 0.8635 | 533  | 0.5228          |
| 0.5136        | 0.8846 | 546  | 0.5225          |
| 0.493         | 0.9056 | 559  | 0.5223          |
| 0.4908        | 0.9267 | 572  | 0.5222          |
| 0.5066        | 0.9478 | 585  | 0.5221          |
| 0.5116        | 0.9688 | 598  | 0.5219          |
| 0.5073        | 0.9899 | 611  | 0.5219          |


### Framework versions

- PEFT 0.7.1
- Transformers 4.40.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1