metadata
library_name: peft
license: llama3.2
base_model: meta-llama/Llama-3.2-1B-Instruct
tags:
- generated_from_trainer
model-index:
- name: NL2linux
results: []
NL2linux
This model is a fine-tuned version of meta-llama/Llama-3.2-1B-Instruct on 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