---
library_name: peft
license: llama3.2
base_model: meta-llama/Llama-3.2-1B-Instruct
tags:
- base_model:adapter:meta-llama/Llama-3.2-1B-Instruct
- llama-factory
- transformers
pipeline_tag: text-generation
model-index:
- name: test
  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. -->

# test

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 wsc dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4947
- Num Input Tokens Seen: 43904

## 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: 2
- eval_batch_size: 2
- 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: 1

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Input Tokens Seen |
|:-------------:|:------:|:----:|:---------------:|:-----------------:|
| 0.9316        | 0.0522 | 13   | 0.9549          | 2288              |
| 1.1199        | 0.1044 | 26   | 0.8822          | 4656              |
| 0.8317        | 0.1566 | 39   | 0.8176          | 6944              |
| 0.7882        | 0.2088 | 52   | 0.7668          | 9232              |
| 0.7909        | 0.2610 | 65   | 0.6973          | 11424             |
| 0.7007        | 0.3133 | 78   | 0.6643          | 13760             |
| 0.7416        | 0.3655 | 91   | 0.6244          | 16048             |
| 0.8212        | 0.4177 | 104  | 0.5990          | 18272             |
| 0.4927        | 0.4699 | 117  | 0.5652          | 20656             |
| 0.5708        | 0.5221 | 130  | 0.5375          | 23056             |
| 0.4855        | 0.5743 | 143  | 0.5332          | 25312             |
| 0.5239        | 0.6265 | 156  | 0.5173          | 27552             |
| 0.4772        | 0.6787 | 169  | 0.5134          | 29984             |
| 0.4958        | 0.7309 | 182  | 0.5051          | 32080             |
| 0.6547        | 0.7831 | 195  | 0.5062          | 34176             |
| 0.6246        | 0.8353 | 208  | 0.5012          | 36512             |
| 0.5174        | 0.8876 | 221  | 0.4947          | 38912             |
| 0.5318        | 0.9398 | 234  | 0.4977          | 41120             |
| 0.445         | 0.9920 | 247  | 0.5010          | 43600             |


### Framework versions

- PEFT 0.17.1
- Transformers 4.51.3
- Pytorch 2.9.1+cu128
- Datasets 4.0.0
- Tokenizers 0.21.4