---
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_siqa_1754652168
  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_siqa_1754652168

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 siqa dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5498
- Num Input Tokens Seen: 29840264

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:-----------------:|
| 0.5633        | 0.5   | 3759  | 0.5894          | 1495072           |
| 0.5615        | 1.0   | 7518  | 0.5582          | 2984720           |
| 0.5898        | 1.5   | 11277 | 0.5572          | 4477104           |
| 0.5474        | 2.0   | 15036 | 0.5530          | 5970384           |
| 0.5483        | 2.5   | 18795 | 0.5526          | 7462384           |
| 0.5508        | 3.0   | 22554 | 0.5522          | 8954176           |
| 0.5541        | 3.5   | 26313 | 0.5542          | 10445088          |
| 0.5407        | 4.0   | 30072 | 0.5514          | 11937344          |
| 0.5503        | 4.5   | 33831 | 0.5523          | 13430048          |
| 0.5525        | 5.0   | 37590 | 0.5522          | 14920992          |
| 0.5362        | 5.5   | 41349 | 0.5513          | 16412032          |
| 0.5476        | 6.0   | 45108 | 0.5503          | 17904680          |
| 0.5594        | 6.5   | 48867 | 0.5507          | 19397416          |
| 0.5403        | 7.0   | 52626 | 0.5506          | 20888856          |
| 0.5436        | 7.5   | 56385 | 0.5498          | 22381080          |
| 0.5452        | 8.0   | 60144 | 0.5519          | 23872880          |
| 0.547         | 8.5   | 63903 | 0.5513          | 25363344          |
| 0.5609        | 9.0   | 67662 | 0.5512          | 26855848          |
| 0.5374        | 9.5   | 71421 | 0.5504          | 28348712          |
| 0.5473        | 10.0  | 75180 | 0.5506          | 29840264          |


### Framework versions

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