• Model creator: https://huggingface.co/ale-bay/
• Original model: https://huggingface.co/ale-bay/zephyr-2b-gemma-sft-dpo/

Original model description:

• alignment-handbook
• trl
• dpo
• generated_from_trainer
• trl
• dpo
• generated_from_trainer datasets:
• argilla/dpo-mix-7k model-index:
• name: zephyr-2b-gemma-sft-dpo results: []

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zephyr-2b-gemma-sft-dpo

• Loss: 0.5950
• Rewards/chosen: 0.2219
• Rewards/rejected: -0.0437
• Rewards/accuracies: 0.7188
• Rewards/margins: 0.2656
• Logps/rejected: -363.9149
• Logps/chosen: -363.8262
• Logits/rejected: -15.9487
• Logits/chosen: -16.5867

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

• learning_rate: 5e-07
• train_batch_size: 2
• eval_batch_size: 4
• seed: 42
• distributed_type: multi-GPU
• num_devices: 8
• gradient_accumulation_steps: 8
• total_train_batch_size: 128
• total_eval_batch_size: 32
• 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 4.42.3
• Pytorch 2.3.1+cu121
• Datasets 2.20.0
• Tokenizers 0.19.1