---
library_name: peft
license: llama3
base_model: meta-llama/Meta-Llama-3-8B-Instruct
tags:
- llama-factory
- prompt-tuning
- generated_from_trainer
model-index:
- name: train_boolq_456_1765348231
  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_456_1765348231

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: 0.3320
- Num Input Tokens Seen: 42758400

## 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: 0.03
- train_batch_size: 4
- eval_batch_size: 4
- seed: 456
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|:-----------------:|
| 0.3421        | 1.0   | 2121  | 0.3622          | 2134176           |
| 0.3701        | 2.0   | 4242  | 0.3352          | 4262848           |
| 0.3564        | 3.0   | 6363  | 0.3581          | 6393376           |
| 0.3406        | 4.0   | 8484  | 0.3343          | 8527168           |
| 0.3276        | 5.0   | 10605 | 0.3372          | 10663616          |
| 0.382         | 6.0   | 12726 | 0.3354          | 12804064          |
| 0.3345        | 7.0   | 14847 | 0.3352          | 14945088          |
| 0.3754        | 8.0   | 16968 | 0.3446          | 17092000          |
| 0.276         | 9.0   | 19089 | 0.3377          | 19221568          |
| 0.3576        | 10.0  | 21210 | 0.3368          | 21363392          |
| 0.332         | 11.0  | 23331 | 0.3349          | 23510432          |
| 0.3691        | 12.0  | 25452 | 0.3381          | 25647872          |
| 0.3393        | 13.0  | 27573 | 0.3332          | 27792544          |
| 0.3103        | 14.0  | 29694 | 0.3336          | 29926112          |
| 0.3476        | 15.0  | 31815 | 0.3338          | 32059584          |
| 0.362         | 16.0  | 33936 | 0.3329          | 34199392          |
| 0.3542        | 17.0  | 36057 | 0.3321          | 36344896          |
| 0.328         | 18.0  | 38178 | 0.3320          | 38482112          |
| 0.335         | 19.0  | 40299 | 0.3325          | 40624896          |
| 0.3011        | 20.0  | 42420 | 0.3322          | 42758400          |


### Framework versions

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