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gpt2-dpo-dutch

This model is a fine-tuned version of pkarypis/gpt2-sft-dutch on the BramVanroy/ultra_feedback_dutch dataset. It achieves the following results on the evaluation set:

  • Loss: 0.6936
  • Rewards/chosen: 0.0022
  • Rewards/rejected: -0.0016
  • Rewards/accuracies: 0.5172
  • Rewards/margins: 0.0038
  • Logps/rejected: -1243.3655
  • Logps/chosen: -1947.5537
  • Logits/rejected: -3.7675
  • Logits/chosen: -3.4617

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: 4
  • total_train_batch_size: 8
  • total_eval_batch_size: 8
  • 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 4.44.2
  • Pytorch 2.1.2
  • Datasets 3.0.0
  • Tokenizers 0.19.1
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Dataset used to train chasedreaminf/gpt2-dpo-dutch