sofyc/Phi-3.5-MultiCap-tool-embedding-3

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Phi-3.5-MultiCap-tool-embedding-3

This model is a fine-tuned version of microsoft/Phi-3.5-mini-instruct on an unknown dataset. It achieves the following results on the evaluation set:

• —Loss: 0.5221

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: 0.0001
• —trainbatchsize: 16
• —evalbatchsize: 16
• —seed: 42
• —gradientaccumulationsteps: 8
• —totaltrainbatch_size: 128
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_ratio: 0.03
• —num_epochs: 3

Training results

Framework versions

• —PEFT 0.12.0
• —Transformers 4.44.2
• —Pytorch 2.4.1+cu121
• —Datasets 2.21.0
• —Tokenizers 0.19.1