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HW2-dpo

This model was trained from scratch on the piqa dataset.

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-05
  • train_batch_size: 1024
  • eval_batch_size: 1024
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3.0

Framework versions

  • Transformers 4.44.0
  • Pytorch 2.4.0+cu124
  • Datasets 2.21.0
  • Tokenizers 0.19.1
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Dataset used to train mertgulexe/HW2-dpo