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kaist-mistral-orpo-OHP-15k-Stratified-1-beta-0.2-2epoch-capybara-1epoch

This model is a fine-tuned version of orpo-explorers/kaist-mistral-orpo-OHP-15k-Stratified-1-beta-0.2-2epoch on the argilla/Capybara-Preferences 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-06
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • distributed_type: multi-GPU
  • num_devices: 4
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 64
  • total_eval_batch_size: 32
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • num_epochs: 1

Training results

Framework versions

  • Transformers 4.39.3
  • Pytorch 2.1.2.post303
  • Datasets 2.18.0
  • Tokenizers 0.15.2
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Dataset used to train orpo-explorers/kaist-mistral-orpo-OHP-15k-Stratified-1-beta-0.2-2epoch-capybara-1epoch