---
library_name: peft
license: llama3
base_model: meta-llama/Meta-Llama-3-8B-Instruct
tags:
- llama-factory
- p-tuning
- generated_from_trainer
model-index:
- name: train_math_qa_1754652175
  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_1754652175

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: 1.6091
- Num Input Tokens Seen: 38732208

## 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: 10.0

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Input Tokens Seen |
|:-------------:|:-----:|:-----:|:---------------:|:-----------------:|
| 0.8057        | 0.5   | 3357  | 0.8056          | 1938656           |
| 0.7028        | 1.0   | 6714  | 0.6814          | 3870688           |
| 0.6583        | 1.5   | 10071 | 0.6765          | 5801696           |
| 0.7187        | 2.0   | 13428 | 0.6617          | 7741288           |
| 0.6316        | 2.5   | 16785 | 0.6570          | 9678632           |
| 0.6193        | 3.0   | 20142 | 0.6565          | 11611120          |
| 0.707         | 3.5   | 23499 | 0.6524          | 13550032          |
| 0.6451        | 4.0   | 26856 | 0.6477          | 15489040          |
| 0.6846        | 4.5   | 30213 | 0.6573          | 17420720          |
| 0.7214        | 5.0   | 33570 | 0.6489          | 19360624          |
| 0.4672        | 5.5   | 36927 | 0.6593          | 21295472          |
| 0.6494        | 6.0   | 40284 | 0.6620          | 23230504          |
| 0.7743        | 6.5   | 43641 | 0.6645          | 25166536          |
| 0.6635        | 7.0   | 46998 | 0.6671          | 27107328          |
| 0.4657        | 7.5   | 50355 | 0.6840          | 29044256          |
| 0.5107        | 8.0   | 53712 | 0.6711          | 30985288          |
| 0.5285        | 8.5   | 57069 | 0.6745          | 32925544          |
| 0.465         | 9.0   | 60426 | 0.6800          | 34856680          |
| 0.4761        | 9.5   | 63783 | 0.6832          | 36790952          |
| 0.6976        | 10.0  | 67140 | 0.6838          | 38732208          |


### Framework versions

- PEFT 0.15.2
- Transformers 4.51.3
- Pytorch 2.8.0+cu128
- Datasets 3.6.0
- Tokenizers 0.21.1