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simple_online_epoch_2_dpo_iter_5

This model is a fine-tuned version of model/simple_online_epoch_2_dpo_iter_4 on the updated and the original datasets.

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
  • train_batch_size: 2
  • eval_batch_size: 2
  • seed: 42
  • distributed_type: multi-GPU
  • num_devices: 5
  • gradient_accumulation_steps: 13
  • total_train_batch_size: 130
  • total_eval_batch_size: 10
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 1

Training results

Framework versions

  • Transformers 4.38.2
  • Pytorch 2.3.1+cu121
  • Datasets 2.14.6
  • Tokenizers 0.15.2
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