vicuna-adv-robust-u15-sft-lora

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

  • Loss: 1.7553

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: 0.0003
  • 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: 15

Training results

Training Loss Epoch Step Validation Loss
No log 0 0 2.4952
2.5615 1.09 1 2.5270
2.5615 1.09 1 2.5362
2.5615 3.03 2 2.5338
2.5615 4.12 3 2.2734
2.5615 4.12 3 2.3209
2.5615 6.06 4 2.1026
2.3634 7.15 5 2.0141
2.3634 7.15 5 2.0772
2.3634 9.09 6 1.9678
2.3634 9.09 6 1.8940
2.3634 11.03 7 1.8120
2.3634 12.12 8 1.8152
2.3634 12.12 8 1.7991
2.3634 14.06 9 1.7646

Framework versions

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