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