---
library_name: peft
license: llama3
base_model: meta-llama/Meta-Llama-3-8B-Instruct
tags:
- llama-factory
- prompt-tuning
- generated_from_trainer
model-index:
- name: train_qqp_1752826675
  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_qqp_1752826675

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 qqp dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1218
- Num Input Tokens Seen: 250787112

## 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 |
|:-------------:|:-----:|:------:|:---------------:|:-----------------:|
| 0.1748        | 0.5   | 40933  | 0.2304          | 12552544          |
| 0.2322        | 1.0   | 81866  | 0.1896          | 25087944          |
| 0.2315        | 1.5   | 122799 | 0.1723          | 37621672          |
| 0.1378        | 2.0   | 163732 | 0.1531          | 50164864          |
| 0.0891        | 2.5   | 204665 | 0.1446          | 62700096          |
| 0.1223        | 3.0   | 245598 | 0.1387          | 75242048          |
| 0.1895        | 3.5   | 286531 | 0.1417          | 87769248          |
| 0.2392        | 4.0   | 327464 | 0.1310          | 100320328         |
| 0.1416        | 4.5   | 368397 | 0.1299          | 112855464         |
| 0.2114        | 5.0   | 409330 | 0.1270          | 125387608         |
| 0.1165        | 5.5   | 450263 | 0.1258          | 137931704         |
| 0.1377        | 6.0   | 491196 | 0.1263          | 150463800         |
| 0.1099        | 6.5   | 532129 | 0.1239          | 163003576         |
| 0.1588        | 7.0   | 573062 | 0.1233          | 175543400         |
| 0.0516        | 7.5   | 613995 | 0.1224          | 188096200         |
| 0.0705        | 8.0   | 654928 | 0.1223          | 200622552         |
| 0.0748        | 8.5   | 695861 | 0.1220          | 213151000         |
| 0.2471        | 9.0   | 736794 | 0.1221          | 225701792         |
| 0.0588        | 9.5   | 777727 | 0.1220          | 238243968         |
| 0.0732        | 10.0  | 818660 | 0.1218          | 250787112         |


### Framework versions

- PEFT 0.15.2
- Transformers 4.51.3
- Pytorch 2.7.1+cu126
- Datasets 3.6.0
- Tokenizers 0.21.1