model_usp2_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: 2.0083
  • Rewards/chosen: -12.0382
  • Rewards/rejected: -17.6824
  • Rewards/accuracies: 0.6600
  • Rewards/margins: 5.6442
  • Logps/rejected: -145.7682
  • Logps/chosen: -134.7426
  • Logits/rejected: -1.0481
  • Logits/chosen: -1.0149

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
0.0339 2.67 100 1.1175 -5.1390 -8.2341 0.6900 3.0951 -126.8717 -120.9441 -0.3625 -0.3504
0.0325 5.33 200 1.6541 -3.3759 -6.0514 0.6000 2.6755 -122.5063 -117.4180 -0.3455 -0.3686
0.0021 8.0 300 2.0449 -11.1907 -16.3902 0.6500 5.1995 -143.1838 -133.0475 -1.0202 -0.9909
0.0 10.67 400 2.0215 -12.0042 -17.6127 0.6600 5.6085 -145.6288 -134.6745 -1.0461 -1.0130
0.0 13.33 500 2.0139 -12.0087 -17.6260 0.6700 5.6174 -145.6555 -134.6835 -1.0475 -1.0146
0.0 16.0 600 2.0087 -12.0288 -17.6593 0.6700 5.6304 -145.7220 -134.7238 -1.0479 -1.0150
0.0 18.67 700 2.0128 -12.0402 -17.6571 0.6700 5.6170 -145.7177 -134.7465 -1.0484 -1.0150
0.0 21.33 800 2.0087 -12.0427 -17.6819 0.6600 5.6391 -145.7672 -134.7516 -1.0483 -1.0151
0.0 24.0 900 2.0120 -12.0409 -17.6812 0.6700 5.6402 -145.7658 -134.7480 -1.0489 -1.0159
0.0 26.67 1000 2.0083 -12.0382 -17.6824 0.6600 5.6442 -145.7682 -134.7426 -1.0481 -1.0149

Framework versions

  • PEFT 0.10.0
  • Transformers 4.39.3
  • Pytorch 2.2.2+cu121
  • Datasets 2.18.0
  • Tokenizers 0.15.2
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