• Model creator: https://huggingface.co/Ejafa/
• Original model: https://huggingface.co/Ejafa/phi-3-mini-128k-instruct-simpo-lr-5e-07-gamma-1.5/

Original model description:

• alignment-handbook
• trl
• dpo
• generated_from_trainer
• trl
• dpo
• generated_from_trainer datasets:
• princeton-nlp/llama3-ultrafeedback model-index:
• name: phi-3-mini-128k-instruct-simpo-lr-5e-07-gamma-1.5 results: []

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Description

Authors

• Ejafa Bassam
• Yaroslav Ponomarenko

phi-3-mini-128k-instruct-simpo-lr-5e-07-gamma-1.5

• Loss: 1.6226
• Rewards/chosen: -2.2430
• Rewards/rejected: -2.6527
• Rewards/accuracies: 0.625
• Rewards/margins: 0.4097
• Logps/rejected: -1.0611
• Logps/chosen: -0.8972
• Logits/rejected: 2.0148
• Logits/chosen: 2.0096

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: 1

Training results

Framework versions

• Transformers 4.41.2
• Pytorch 2.3.1+cu121
• Datasets 2.20.0
• Tokenizers 0.19.1