---
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_piqa_123_1762638012
  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_piqa_123_1762638012

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 piqa dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4014
- Num Input Tokens Seen: 39274528

## 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: 1e-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: 20

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Input Tokens Seen |
|:-------------:|:-----:|:-----:|:---------------:|:-----------------:|
| 0.2264        | 2.0   | 6446  | 0.2327          | 3934032           |
| 0.2373        | 4.0   | 12892 | 0.2313          | 7851504           |
| 0.2256        | 6.0   | 19338 | 0.2322          | 11793056          |
| 0.2268        | 8.0   | 25784 | 0.2320          | 15724160          |
| 0.248         | 10.0  | 32230 | 0.2319          | 19655824          |
| 0.1983        | 12.0  | 38676 | 0.2498          | 23574992          |
| 0.2071        | 14.0  | 45122 | 0.2693          | 27497648          |
| 0.2247        | 16.0  | 51568 | 0.3159          | 31419552          |
| 0.1999        | 18.0  | 58014 | 0.3811          | 35346160          |
| 0.1512        | 20.0  | 64460 | 0.4014          | 39274528          |


### Framework versions

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