Gunslinger3D/fine-tuning-Phi2-with-webglm-qa-with-lora_3

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fine-tuning-Phi2-with-webglm-qa-with-lora_3

This model is a fine-tuned version of microsoft/phi-2 on an unknown dataset. It achieves the following results on the evaluation set:

• —Loss: 0.1155

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-05
• —trainbatchsize: 2
• —evalbatchsize: 2
• —seed: 42
• —gradientaccumulationsteps: 5
• —totaltrainbatch_size: 10
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 50
• —training_steps: 500
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —PEFT 0.7.1
• —Transformers 4.36.2
• —Pytorch 2.0.0
• —Datasets 2.15.0
• —Tokenizers 0.15.0