model_usp3_dpo5

This model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 1.9416
  • Rewards/chosen: -10.2877
  • Rewards/rejected: -15.9492
  • Rewards/accuracies: 0.6500
  • Rewards/margins: 5.6615
  • Logps/rejected: -144.5642
  • Logps/chosen: -130.7199
  • Logits/rejected: -0.9327
  • Logits/chosen: -0.9193

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: 0.0005
  • train_batch_size: 4
  • eval_batch_size: 1
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 16
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_steps: 100
  • training_steps: 1000

Training results

Training Loss Epoch Step Validation Loss Rewards/chosen Rewards/rejected Rewards/accuracies Rewards/margins Logps/rejected Logps/chosen Logits/rejected Logits/chosen
0.0839 2.67 100 1.2957 -6.5028 -8.3281 0.6100 1.8253 -129.3219 -123.1500 -0.2745 -0.2356
0.0042 5.33 200 1.7603 -5.5711 -8.4268 0.7000 2.8558 -129.5194 -121.2866 -0.9020 -0.8864
0.0011 8.0 300 1.6254 -11.3020 -17.4510 0.6900 6.1490 -147.5677 -132.7485 -0.7903 -0.7597
0.0 10.67 400 1.9460 -10.1997 -15.8452 0.6500 5.6455 -144.3562 -130.5438 -0.9297 -0.9163
0.0 13.33 500 1.9345 -10.2432 -15.9204 0.6500 5.6772 -144.5066 -130.6309 -0.9318 -0.9181
0.0 16.0 600 1.9390 -10.2636 -15.9466 0.6500 5.6831 -144.5590 -130.6716 -0.9321 -0.9182
0.0 18.67 700 1.9438 -10.2986 -15.9585 0.6500 5.6599 -144.5827 -130.7415 -0.9326 -0.9190
0.0 21.33 800 1.9351 -10.2903 -15.9732 0.6500 5.6829 -144.6121 -130.7250 -0.9323 -0.9188
0.0 24.0 900 1.9341 -10.3034 -15.9669 0.6500 5.6635 -144.5995 -130.7512 -0.9328 -0.9192
0.0 26.67 1000 1.9416 -10.2877 -15.9492 0.6500 5.6615 -144.5642 -130.7199 -0.9327 -0.9193

Framework versions

  • PEFT 0.10.0
  • Transformers 4.39.3
  • Pytorch 2.2.2+cu121
  • Datasets 2.18.0
  • Tokenizers 0.15.2
Downloads last month
2
Inference Providers NEW
This model isn't deployed by any Inference Provider. ๐Ÿ™‹ Ask for provider support

Model tree for guoyu-zhang/model_usp3_dpo5

Adapter
(1161)
this model