---
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_hellaswag_101112_1760638082
  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_hellaswag_101112_1760638082

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 hellaswag dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4609
- Num Input Tokens Seen: 218373904

## 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: 0.001
- 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 |
|:-------------:|:-----:|:------:|:---------------:|:-----------------:|
| 0.4551        | 1.0   | 8979   | 0.4630          | 10920768          |
| 0.4637        | 2.0   | 17958  | 0.4625          | 21838176          |
| 0.4666        | 3.0   | 26937  | 0.4629          | 32764400          |
| 0.0354        | 4.0   | 35916  | 0.0856          | 43678848          |
| 0.0452        | 5.0   | 44895  | 0.0701          | 54599824          |
| 0.0537        | 6.0   | 53874  | 0.0636          | 65511392          |
| 0.1214        | 7.0   | 62853  | 0.0612          | 76440704          |
| 0.0844        | 8.0   | 71832  | 0.0587          | 87358976          |
| 0.0144        | 9.0   | 80811  | 0.0609          | 98270752          |
| 0.0191        | 10.0  | 89790  | 0.0642          | 109182912         |
| 0.054         | 11.0  | 98769  | 0.0669          | 120100304         |
| 0.0905        | 12.0  | 107748 | 0.0749          | 131010176         |
| 0.0035        | 13.0  | 116727 | 0.0840          | 141940544         |
| 0.0013        | 14.0  | 125706 | 0.0791          | 152867360         |
| 0.0087        | 15.0  | 134685 | 0.0999          | 163792736         |
| 0.0002        | 16.0  | 143664 | 0.1159          | 174711344         |
| 0.0036        | 17.0  | 152643 | 0.1191          | 185629312         |
| 0.0002        | 18.0  | 161622 | 0.1384          | 196536784         |
| 0.0002        | 19.0  | 170601 | 0.1391          | 207451408         |
| 0.0002        | 20.0  | 179580 | 0.1406          | 218373904         |


### Framework versions

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