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weijie210/IKEA-7b-UFB-0

sourceHugging Faceapache-2.0updated 3y agoView on Hugging Face
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IKEA-7b-UFB-0

This model is a fine-tuned version of weijie210/zephyr-UFB-7b-sft on the None dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.0776
  • —Rewards/chosen: -6.9486
  • —Rewards/rejected: -22.9186
  • —Rewards/accuracies: 0.9583
  • —Rewards/margins: 15.9701
  • —Logps/rejected: -316.0304
  • —Logps/chosen: -200.6633
  • —Logits/rejected: -2.8329
  • —Logits/chosen: -2.8989

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-07
  • —trainbatchsize: 4
  • —evalbatchsize: 8
  • —seed: 42
  • —distributed_type: multi-GPU
  • —num_devices: 4
  • —totaltrainbatch_size: 16
  • —totalevalbatch_size: 32
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —lrschedulerwarmup_ratio: 0.1
  • —num_epochs: 2

Training results

Training LossEpochStepValidation LossRewards/chosenRewards/rejectedRewards/accuraciesRewards/marginsLogps/rejectedLogps/chosenLogits/rejectedLogits/chosen
0.10910.535000.2325-3.8178-23.39890.958319.5811-320.8331-169.3557-2.8725-2.9272
0.03361.0610000.0688-5.4221-18.02630.972212.6042-267.1074-185.3986-2.8786-2.9367
0.02471.5915000.0597-5.4161-19.38600.944413.9699-280.7044-185.3390-2.8687-2.9293

Framework versions

  • —Transformers 4.36.1
  • —Pytorch 2.0.1+cu117
  • —Datasets 2.16.1
  • —Tokenizers 0.15.0