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---
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 |