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thorirhrafn/gpt1B_DPO_model_ver2

sourceHugging Faceapache-2.0updated 2y agoView on Hugging Face
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gpt1BDPOmodel_ver2

This model is a fine-tuned version of AI-Sweden-Models/gpt-sw3-1.3b on an unknown dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.0069
  • —Rewards/chosen: 0.0482
  • —Rewards/rejected: -6.7989
  • —Rewards/accuracies: 1.0
  • —Rewards/margins: 6.8472
  • —Logps/rejected: -275.1611
  • —Logps/chosen: -112.8062
  • —Logits/rejected: -2.7230
  • —Logits/chosen: -2.9162

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: 1e-05
  • —trainbatchsize: 1
  • —evalbatchsize: 1
  • —seed: 42
  • —gradientaccumulationsteps: 8
  • —totaltrainbatch_size: 8
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 2

Training results

Training LossEpochStepValidation LossRewards/chosenRewards/rejectedRewards/accuraciesRewards/marginsLogps/rejectedLogps/chosenLogits/rejectedLogits/chosen
0.00890.792000.00860.0829-6.33431.06.4172-270.5143-112.4591-2.7397-2.9321
0.00311.594000.00690.0482-6.79891.06.8472-275.1611-112.8062-2.7230-2.9162

Framework versions

  • —PEFT 0.8.2
  • —Transformers 4.38.1
  • —Pytorch 2.2.0+cu118
  • —Datasets 2.17.1
  • —Tokenizers 0.15.2