olusegunola/phi3-pruned-distilled-from-logits_all_med

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phi3-pruned-distilled-from-logitsallmed

This model is a fine-tuned version of olusegunola/phi3-pruned-layer-struct on an unknown dataset. It achieves the following results on the evaluation set:

• —Loss: 3.1225
• —Ce Loss: 2.2006
• —Kl Loss: 4.1091

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: 0.0002
• —trainbatchsize: 20
• —evalbatchsize: 8
• —seed: 42
• —gradientaccumulationsteps: 16
• —totaltrainbatch_size: 320
• —optimizer: Use pagedadamw8bit with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• —lrschedulertype: linear
• —num_epochs: 12

Training results

Framework versions

• —PEFT 0.17.1
• —Transformers 4.56.1
• —Pytorch 2.8.0+cu128
• —Datasets 3.2.0
• —Tokenizers 0.22.0