---
library_name: peft
license: llama3
base_model: meta-llama/Meta-Llama-3-8B-Instruct
tags:
- llama-factory
- ia3
- generated_from_trainer
model-index:
- name: train_boolq_123_1762628463
  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_boolq_123_1762628463

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 boolq dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1509
- Num Input Tokens Seen: 42678144

## 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: 20

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Input Tokens Seen |
|:-------------:|:-----:|:-----:|:---------------:|:-----------------:|
| 0.2441        | 1.0   | 2121  | 0.2164          | 2131904           |
| 0.1636        | 2.0   | 4242  | 0.1829          | 4264768           |
| 0.1143        | 3.0   | 6363  | 0.1703          | 6404896           |
| 0.1735        | 4.0   | 8484  | 0.1635          | 8537088           |
| 0.1825        | 5.0   | 10605 | 0.1568          | 10677088          |
| 0.1657        | 6.0   | 12726 | 0.1543          | 12814080          |
| 0.0268        | 7.0   | 14847 | 0.1509          | 14950432          |
| 0.0805        | 8.0   | 16968 | 0.1509          | 17082336          |
| 0.3383        | 9.0   | 19089 | 0.1519          | 19211360          |
| 0.0432        | 10.0  | 21210 | 0.1517          | 21342336          |
| 0.14          | 11.0  | 23331 | 0.1514          | 23472352          |
| 0.0925        | 12.0  | 25452 | 0.1521          | 25602144          |
| 0.0795        | 13.0  | 27573 | 0.1525          | 27739072          |
| 0.0417        | 14.0  | 29694 | 0.1518          | 29880544          |
| 0.0246        | 15.0  | 31815 | 0.1537          | 32013760          |
| 0.0928        | 16.0  | 33936 | 0.1536          | 34138272          |
| 0.0424        | 17.0  | 36057 | 0.1527          | 36269152          |
| 0.1512        | 18.0  | 38178 | 0.1529          | 38408800          |
| 0.0632        | 19.0  | 40299 | 0.1531          | 40541312          |
| 0.0778        | 20.0  | 42420 | 0.1539          | 42678144          |


### Framework versions

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