This model is a fine-tuned version of /media/enssel/DataDisk/Models/Llama-3.2-3B-Instruct on the app_logs_modified_1 and the NIST_SP_800_53 datasets.
It achieves the following results on the evaluation set:
Loss: 1.8549
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
Application_logs and NIST_SP_800_53 datasets
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 5e-05
train_batch_size: 8
eval_batch_size: 1
seed: 42
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 8
total_train_batch_size: 256
total_eval_batch_size: 4
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
