dalyaff/phi2-OOpenOrca-finetune

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phi-2

This model is a fine-tuned version of microsoftl on the Open-Orca22/OpenOrca22 dataset. It achieves the following results on the evaluation set:

• —Loss: 1.6236

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: 2.5e-05
• —trainbatchsize: 1
• —evalbatchsize: 8
• —seed: 42
• —gradientaccumulationsteps: 4
• —totaltrainbatch_size: 4
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 5
• —training_steps: 1000

Training results

Framework versions

• —PEFT 0.7.2.dev0
• —Transformers 4.37.0.dev0
• —Pytorch 2.1.0+cu121
• —Datasets 2.16.1
• —Tokenizers 0.15.0