---
library_name: transformers
license: llama3.2
base_model: meta-llama/Llama-3.2-1B-Instruct
tags:
- peft-factory
- full
- llama-factory
- generated_from_trainer
model-index:
- name: train_boolq_42_1776331558
  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_42_1776331558

This model is a fine-tuned version of [meta-llama/Llama-3.2-1B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-1B-Instruct) on the boolq dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1885
- Num Input Tokens Seen: 12333600

## 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-06
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.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: 5

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Input Tokens Seen |
|:-------------:|:------:|:----:|:---------------:|:-----------------:|
| 0.2277        | 0.2507 | 266  | 0.2505          | 618432            |
| 0.2193        | 0.5014 | 532  | 0.3166          | 1225408           |
| 0.2554        | 0.7521 | 798  | 0.2179          | 1851072           |
| 0.3676        | 1.0028 | 1064 | 0.1885          | 2475808           |
| 0.165         | 1.2535 | 1330 | 0.4608          | 3091552           |
| 0.2207        | 1.5042 | 1596 | 0.3545          | 3699104           |
| 0.1138        | 1.7549 | 1862 | 0.3500          | 4324256           |
| 0.0762        | 2.0057 | 2128 | 0.3345          | 4940992           |
| 0.0898        | 2.2564 | 2394 | 0.4647          | 5558144           |
| 0.0692        | 2.5071 | 2660 | 0.4098          | 6183872           |
| 0.227         | 2.7578 | 2926 | 0.4303          | 6806208           |
| 0.0004        | 3.0085 | 3192 | 0.3937          | 7421856           |
| 0.0           | 3.2592 | 3458 | 0.5191          | 8043744           |
| 0.0002        | 3.5099 | 3724 | 0.4636          | 8660768           |
| 0.0           | 3.7606 | 3990 | 0.5201          | 9286304           |
| 0.0001        | 4.0113 | 4256 | 0.5146          | 9894624           |
| 0.0782        | 4.2620 | 4522 | 0.5548          | 10512416          |
| 0.0           | 4.5127 | 4788 | 0.5418          | 11115040          |
| 0.0           | 4.7634 | 5054 | 0.5422          | 11736672          |


### Framework versions

- Transformers 4.51.3
- Pytorch 2.10.0+cu128
- Datasets 4.0.0
- Tokenizers 0.21.4