---
library_name: peft
license: llama3
base_model: meta-llama/Meta-Llama-3-8B-Instruct
tags:
- llama-factory
- prefix-tuning
- generated_from_trainer
model-index:
- name: train_hellaswag_1754652170
  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_1754652170

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: 0.4635
- Num Input Tokens Seen: 108930064

## 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 |
|:-------------:|:------:|:-----:|:---------------:|:-----------------:|
| 0.5018        | 0.5001 | 4490  | 0.5131          | 5450816           |
| 0.4862        | 1.0001 | 8980  | 0.4738          | 10899840          |
| 0.4703        | 1.5002 | 13470 | 0.4673          | 16338976          |
| 0.4736        | 2.0002 | 17960 | 0.4660          | 21789168          |
| 0.4783        | 2.5003 | 22450 | 0.4658          | 27236592          |
| 0.4663        | 3.0003 | 26940 | 0.4649          | 32696128          |
| 0.4541        | 3.5004 | 31430 | 0.4646          | 38137920          |
| 0.4581        | 4.0004 | 35920 | 0.4643          | 43579472          |
| 0.4528        | 4.5005 | 40410 | 0.4643          | 49022960          |
| 0.4502        | 5.0006 | 44900 | 0.4639          | 54468496          |
| 0.4639        | 5.5006 | 49390 | 0.4635          | 59917136          |
| 0.4624        | 6.0007 | 53880 | 0.4643          | 65358976          |
| 0.4692        | 6.5007 | 58370 | 0.4642          | 70806016          |
| 0.4549        | 7.0008 | 62860 | 0.4644          | 76259312          |
| 0.4698        | 7.5008 | 67350 | 0.4640          | 81705616          |
| 0.4546        | 8.0009 | 71840 | 0.4641          | 87153488          |
| 0.4462        | 8.5009 | 76330 | 0.4635          | 92602480          |
| 0.4564        | 9.0010 | 80820 | 0.4640          | 98051504          |
| 0.466         | 9.5011 | 85310 | 0.4641          | 103491728         |


### Framework versions

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