gpt2-dpo-from_base_gpt2

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gpt2-dpo-from_base_gpt2

This model is a fine-tuned version of openai-community/gpt2 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.6406
• Rewards/chosen: 1.1312
• Rewards/rejected: 0.9208
• Rewards/accuracies: 0.6373
• Rewards/margins: 0.2103
• Logps/rejected: -429.5498
• Logps/chosen: -508.5024
• Logits/rejected: -96.1598
• Logits/chosen: -94.9073

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: 1e-07
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 32
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.2
• num_epochs: 10

Training results

Framework versions

• Transformers 4.40.2
• Pytorch 2.1.0+cu118
• Datasets 2.19.1
• Tokenizers 0.19.1