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EllieS/zephyr-dpo-timedial-selfgen

sourceHugging Faceapache-2.0updated 2y agoView on Hugging Face
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zephyr-dpo-timedial-selfgen

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

  • —Loss: 0.0055
  • —Rewards/chosen: 0.4843
  • —Rewards/rejected: -5.0618
  • —Rewards/accuracies: 1.0
  • —Rewards/margins: 5.5461
  • —Logps/rejected: -740.9361
  • —Logps/chosen: -96.9992
  • —Logits/rejected: -3.1155
  • —Logits/chosen: -2.6815

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
  • —trainbatchsize: 2
  • —evalbatchsize: 2
  • —seed: 42
  • —distributed_type: multi-GPU
  • —gradientaccumulationsteps: 2
  • —totaltrainbatch_size: 4
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: cosine
  • —lrschedulerwarmup_ratio: 0.1
  • —num_epochs: 1

Training results

Training LossEpochStepValidation LossRewards/chosenRewards/rejectedRewards/accuraciesRewards/marginsLogps/rejectedLogps/chosenLogits/rejectedLogits/chosen
0.01660.351000.01980.4885-3.44431.03.9328-579.1801-96.5815-3.1058-2.6808
0.00150.72000.00550.4843-5.06181.05.5461-740.9361-96.9992-3.1155-2.6815

Framework versions

  • —PEFT 0.7.1
  • —Transformers 4.39.0.dev0
  • —Pytorch 2.1.2+cu121
  • —Datasets 2.14.6
  • —Tokenizers 0.15.2