|
|
--- |
|
|
library_name: peft |
|
|
license: llama3.2 |
|
|
base_model: meta-llama/Llama-3.2-1B-Instruct |
|
|
tags: |
|
|
- generated_from_trainer |
|
|
model-index: |
|
|
- name: NL2linux |
|
|
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. --> |
|
|
|
|
|
# NL2linux |
|
|
|
|
|
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 [garavv/NL2linux](https://huggingface.co/datasets/garavv/NL2linux) |
|
|
It achieves the following results on the evaluation set: |
|
|
- Loss: 0.7192 |
|
|
|
|
|
## 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: 16 |
|
|
- eval_batch_size: 16 |
|
|
- seed: 42 |
|
|
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
|
|
- lr_scheduler_type: linear |
|
|
- num_epochs: 3 |
|
|
- mixed_precision_training: Native AMP |
|
|
|
|
|
### Training results |
|
|
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|
|:-------------:|:------:|:----:|:---------------:| |
|
|
| 0.9742 | 0.2817 | 500 | 0.9460 | |
|
|
| 0.8974 | 0.5634 | 1000 | 0.8695 | |
|
|
| 0.8392 | 0.8451 | 1500 | 0.8290 | |
|
|
| 0.7308 | 1.1268 | 2000 | 0.7992 | |
|
|
| 0.7356 | 1.4085 | 2500 | 0.7761 | |
|
|
| 0.7338 | 1.6901 | 3000 | 0.7566 | |
|
|
| 0.705 | 1.9718 | 3500 | 0.7443 | |
|
|
| 0.6469 | 2.2535 | 4000 | 0.7372 | |
|
|
| 0.6197 | 2.5352 | 4500 | 0.7271 | |
|
|
| 0.6438 | 2.8169 | 5000 | 0.7214 | |
|
|
|
|
|
|
|
|
### Framework versions |
|
|
|
|
|
- PEFT 0.14.0 |
|
|
- Transformers 4.49.0 |
|
|
- Pytorch 2.5.1+cu121 |
|
|
- Datasets 3.3.2 |
|
|
- Tokenizers 0.21.0 |
