---
library_name: peft
license: llama3
base_model: meta-llama/Meta-Llama-3-8B-Instruct
tags:
- base_model:adapter:meta-llama/Meta-Llama-3-8B-Instruct
- llama-factory
- transformers
pipeline_tag: text-generation
model-index:
- name: train_math_qa_101112_1760638065
  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. -->

# train_math_qa_101112_1760638065

This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0976
- Num Input Tokens Seen: 77914328

## 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: 5e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 101112
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step   | Validation Loss | Input Tokens Seen |
|:-------------:|:-----:|:------:|:---------------:|:-----------------:|
| 1.0458        | 1.0   | 6714   | 1.1599          | 3894384           |
| 0.9912        | 2.0   | 13428  | 1.1152          | 7788792           |
| 1.4319        | 3.0   | 20142  | 1.1035          | 11683344          |
| 1.1822        | 4.0   | 26856  | 1.0999          | 15578064          |
| 1.7636        | 5.0   | 33570  | 1.1016          | 19479304          |
| 1.138         | 6.0   | 40284  | 1.1009          | 23378352          |
| 0.7847        | 7.0   | 46998  | 1.0980          | 27274568          |
| 1.0809        | 8.0   | 53712  | 1.1029          | 31172664          |
| 0.8975        | 9.0   | 60426  | 1.1025          | 35068368          |
| 1.5046        | 10.0  | 67140  | 1.1038          | 38966392          |
| 1.0965        | 11.0  | 73854  | 1.0945          | 42861936          |
| 1.0183        | 12.0  | 80568  | 1.0959          | 46756048          |
| 0.7437        | 13.0  | 87282  | 1.1003          | 50652416          |
| 1.1787        | 14.0  | 93996  | 1.0963          | 54546936          |
| 0.884         | 15.0  | 100710 | 1.0990          | 58442960          |
| 1.5105        | 16.0  | 107424 | 1.1018          | 62338944          |
| 0.9218        | 17.0  | 114138 | 1.0976          | 66231336          |
| 0.9596        | 18.0  | 120852 | 1.0976          | 70127040          |
| 0.9612        | 19.0  | 127566 | 1.0976          | 74021072          |
| 0.799         | 20.0  | 134280 | 1.0976          | 77914328          |


### Framework versions

- PEFT 0.17.1
- Transformers 4.51.3
- Pytorch 2.9.0+cu128
- Datasets 4.0.0
- Tokenizers 0.21.4