CoolFace
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ddimarco96/hello-yes-recall

sourceHugging Faceapache-2.0updated 8mo agoView on Hugging Face
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Model Card

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hello-yes-recall

This model is a fine-tuned version of answerdotai/ModernBERT-base on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.6508
  • F1: 0.7565

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: 32
  • evalbatchsize: 16
  • 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 LossF1
0.71991.05270.70720.7083
0.60632.010540.65790.7510
0.59553.015810.65170.7543
0.59014.021080.65110.7556
0.58665.026350.65080.7565

Framework versions

  • Transformers 5.0.0
  • Pytorch 2.9.1
  • Datasets 4.5.0
  • Tokenizers 0.22.2