---
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_123_1760637726
  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_123_1760637726

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 the math_qa dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6507
- Num Input Tokens Seen: 77961608

## 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: 123
- 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 |
|:-------------:|:-----:|:------:|:---------------:|:-----------------:|
| 0.7328        | 1.0   | 6714   | 0.7198          | 3894688           |
| 0.7764        | 2.0   | 13428  | 0.6897          | 7789256           |
| 0.6538        | 3.0   | 20142  | 0.6761          | 11683856          |
| 0.6451        | 4.0   | 26856  | 0.6667          | 15585872          |
| 0.6469        | 5.0   | 33570  | 0.6594          | 19482128          |
| 0.6932        | 6.0   | 40284  | 0.6587          | 23376776          |
| 0.6886        | 7.0   | 46998  | 0.6551          | 27278720          |
| 0.5407        | 8.0   | 53712  | 0.6556          | 31180904          |
| 0.5925        | 9.0   | 60426  | 0.6507          | 35077032          |
| 0.7712        | 10.0  | 67140  | 0.6527          | 38976336          |
| 0.5661        | 11.0  | 73854  | 0.6529          | 42875264          |
| 0.6195        | 12.0  | 80568  | 0.6561          | 46772480          |
| 0.4153        | 13.0  | 87282  | 0.6574          | 50673016          |
| 0.5635        | 14.0  | 93996  | 0.6551          | 54573896          |
| 0.4801        | 15.0  | 100710 | 0.6580          | 58472760          |
| 0.373         | 16.0  | 107424 | 0.6575          | 62371472          |
| 0.461         | 17.0  | 114138 | 0.6579          | 66268336          |
| 0.5259        | 18.0  | 120852 | 0.6566          | 70167432          |
| 0.6381        | 19.0  | 127566 | 0.6567          | 74065984          |
| 0.5324        | 20.0  | 134280 | 0.6562          | 77961608          |


### Framework versions

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