• Model creator: https://huggingface.co/NicholasCorrado/
• Original model: https://huggingface.co/NicholasCorrado/tinyllama-1.1b-chat-v1.0-rlced-conifer-3-1-dpo/

Original model description:

• alignment-handbook
• trl
• dpo
• generated_from_trainer
• trl
• dpo
• alignment-handbook
• generated_from_trainer datasets:
• data/rlced_conifer model-index:
• name: tinyllama-1.1b-chat-v1.0-rlced-conifer-3-1-dpo results: []

---

tinyllama-1.1b-chat-v1.0-rlced-conifer-3-1-dpo

• Loss: 0.4784
• Rewards/chosen: -2.0477
• Rewards/rejected: -2.9020
• Rewards/accuracies: 0.7745
• Rewards/margins: 0.8542
• Logps/rejected: -835.5375
• Logps/chosen: -730.0506
• Logits/rejected: -2.5534
• Logits/chosen: -2.5642

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

• learning_rate: 5e-07
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• distributed_type: multi-GPU
• num_devices: 8
• gradient_accumulation_steps: 4
• total_train_batch_size: 256
• total_eval_batch_size: 64
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 2

Training results

Framework versions

• Transformers 4.44.1
• Pytorch 2.1.2+cu121
• Datasets 2.21.0
• Tokenizers 0.19.1