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