---
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_1760638085
  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_1760638085

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: 0.0788
- 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: 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 |
|:-------------:|:-----:|:------:|:---------------:|:-----------------:|
| 0.1243        | 1.0   | 8979   | 0.1606          | 10920768          |
| 0.2253        | 2.0   | 17958  | 0.1173          | 21838176          |
| 0.0933        | 3.0   | 26937  | 0.0993          | 32764400          |
| 0.0239        | 4.0   | 35916  | 0.0916          | 43678848          |
| 0.0874        | 5.0   | 44895  | 0.0878          | 54599824          |
| 0.0372        | 6.0   | 53874  | 0.0856          | 65511392          |
| 0.2015        | 7.0   | 62853  | 0.0806          | 76440704          |
| 0.0822        | 8.0   | 71832  | 0.0804          | 87358976          |
| 0.0112        | 9.0   | 80811  | 0.0811          | 98270752          |
| 0.0286        | 10.0  | 89790  | 0.0788          | 109182912         |
| 0.0253        | 11.0  | 98769  | 0.0805          | 120100304         |
| 0.0921        | 12.0  | 107748 | 0.0824          | 131010176         |
| 0.1129        | 13.0  | 116727 | 0.0835          | 141940544         |
| 0.0102        | 14.0  | 125706 | 0.0824          | 152867360         |
| 0.0214        | 15.0  | 134685 | 0.0841          | 163792736         |
| 0.0069        | 16.0  | 143664 | 0.0843          | 174711344         |
| 0.0488        | 17.0  | 152643 | 0.0848          | 185629312         |
| 0.0249        | 18.0  | 161622 | 0.0852          | 196536784         |
| 0.0236        | 19.0  | 170601 | 0.0849          | 207451408         |
| 0.1324        | 20.0  | 179580 | 0.0852          | 218373904         |


### Framework versions

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