CoolFace
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Mub1532/23144792-fyp-calendar-tasks

sourceHugging Faceapache-2.0updated 5mo agoView on Hugging Face
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Model Card

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mub-model

This model is a fine-tuned version of google/flan-t5-large on a synthetic custom dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.6100
  • —Rouge1: 49.1502
  • —Rouge2: 42.8078
  • —Rougel: 48.1908
  • —Rougelsum: 48.113
  • —Gen Len: 18.95

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: 8
  • —evalbatchsize: 8
  • —seed: 42
  • —optimizer: Use OptimizerNames.ADAMWTORCHFUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • —lrschedulertype: linear
  • —num_epochs: 5

Training results

Training LossEpochStepValidation LossRouge1Rouge2RougelRougelsumGen Len
0.83781.0670.629249.19142.870648.485548.401719.1333
0.59582.01340.610049.150242.807848.190848.11318.95
0.47373.02010.625549.164542.637448.01447.967319.0
0.40994.02680.641248.788942.678447.728547.710619.0
0.36825.03350.668048.757742.382747.716947.700519.0

Framework versions

  • —Transformers 5.7.0
  • —Pytorch 2.8.0+cu128
  • —Datasets 4.8.5
  • —Tokenizers 0.22.2