This model is a fine-tuned version of TinyLlama/TinyLlama-1.1B-step-50K-105b on the jailbreak_attack_sft_data_12197 dataset. It achieves the following results on the evaluation set:

Loss: 0.0074

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: 0.0001
train_batch_size: 14
eval_batch_size: 10
seed: 42
distributed_type: multi-GPU
num_devices: 4
total_train_batch_size: 56
total_eval_batch_size: 40
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
num_epochs: 8.0
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.0109	1.8692	400	0.0107
0.0068	3.7383	800	0.0079
0.0059	5.6075	1200	0.0075
0.0053	7.4766	1600	0.0074

Framework versions

Transformers 4.47.0
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.21.0

xdrshjr/TinyLlama-1b-Rewrite-Jailbreak-Prompt

tinyllama_sft_full

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

xdrshjr/
TinyLlama-1b-Rewrite-Jailbreak-Prompt