lole25/phi-2-ipo-ultrachat-lora

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phi-2-ipo-ultrachat-lora

This model is a fine-tuned version of lole25/phi-2-sft-ultrachat-lora on the HuggingFaceH4/ultrafeedback_binarized dataset. It achieves the following results on the evaluation set:

• —Loss: 2499.1455
• —Rewards/chosen: -0.0000
• —Rewards/rejected: -0.0002
• —Rewards/accuracies: 0.25
• —Rewards/margins: 0.0002
• —Logps/rejected: -94.2138
• —Logps/chosen: -91.7291
• —Logits/rejected: 0.8197
• —Logits/chosen: 0.8014

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-06
• —trainbatchsize: 4
• —evalbatchsize: 4
• —seed: 42
• —distributed_type: multi-GPU
• —num_devices: 4
• —gradientaccumulationsteps: 4
• —totaltrainbatch_size: 64
• —totalevalbatch_size: 16
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: cosine
• —lrschedulerwarmup_ratio: 0.1
• —num_epochs: 1

Training results

Framework versions

• —PEFT 0.7.1
• —Transformers 4.36.2
• —Pytorch 2.1.2+cu118
• —Datasets 2.14.6
• —Tokenizers 0.15.2