vicuna-adv-robust-u10-sft-lora

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 2.5518

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: 3e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• distributed_type: multi-GPU
• num_devices: 4
• gradient_accumulation_steps: 16
• total_train_batch_size: 512
• total_eval_batch_size: 32
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss
No log	0	0	2.4995
2.6131	1.09	1	2.5712
2.6131	1.09	1	2.5773
2.6131	3.03	2	2.6407
2.6131	4.12	3	2.5098
2.6131	4.12	3	2.5646
2.6131	6.06	4	2.4701
2.5907	7.15	5	2.5185
2.5907	7.15	5	2.6098
2.5907	9.09	6	2.6096

Framework versions

• Transformers 4.35.0
• Pytorch 2.1.0a0+32f93b1
• Datasets 2.14.6
• Tokenizers 0.14.1