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zephyr-dpo-timedial-selfgen-mix2

This model is a fine-tuned version of EllieS/zephyr-dpo-timedial-selfgen on the EllieS/timedial_dpo dataset. It achieves the following results on the evaluation set:

  • Logits/chosen: -2.8807
  • Logits/rejected: -2.8679
  • Logps/chosen: -6.8403
  • Logps/rejected: -132.2824
  • Loss: 0.2588
  • Rewards/accuracies: 1.0
  • Rewards/chosen: 0.2087
  • Rewards/margins: 1.2287
  • Rewards/rejected: -1.0200

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: 5e-06
  • train_batch_size: 2
  • eval_batch_size: 2
  • seed: 42
  • distributed_type: multi-GPU
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 4
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 1

Training results

Training Loss Epoch Step Logits/chosen Logits/rejected Logps/chosen Logps/rejected Validation Loss Rewards/accuracies Rewards/chosen Rewards/margins Rewards/rejected
0.4825 0.35 100 -2.9715 -2.9751 -4.6766 -60.5070 0.4632 1.0 0.2303 0.5325 -0.3022
0.2786 0.69 200 -2.8807 -2.8679 -6.8403 -132.2824 0.2588 1.0 0.2087 1.2287 -1.0200

Framework versions

  • PEFT 0.7.1
  • Transformers 4.39.0.dev0
  • Pytorch 2.1.2+cu121
  • Datasets 2.18.0
  • Tokenizers 0.15.2
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Dataset used to train EllieS/zephyr-dpo-timedial-selfgen-mix2