ntnu-smil/phi-4-gec-bea2019

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phi-4-gec-bea2019

This model is a fine-tuned version of microsoft/Phi-4-mini-instruct on an unknown dataset.

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: 1e-05
• —trainbatchsize: 8
• —evalbatchsize: 8
• —seed: 42
• —optimizer: Use adamwtorch with betas=(0.9,0.95) and epsilon=1e-07 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 50
• —num_epochs: 3

Training results

Framework versions

• —Transformers 4.50.3
• —Pytorch 2.1.0+cu118
• —Datasets 3.5.0
• —Tokenizers 0.21.1