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---
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 |