CoolFace
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dpravinv/modernbert-cogabilities-gemini1k

sourceHugging Faceapache-2.0updated 2y agoView on Hugging Face
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modernbert-cogabilities-gemini1k

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: 1.1854
  • F1: 0.7549

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: 10

Training results

Training LossEpochStepValidation LossF1
No log1.0220.92520.45
No log2.0440.72900.7094
No log3.0660.76160.6597
No log4.0880.82430.7604
0.60055.01101.10700.7315
0.60056.01321.11680.7603
0.60057.01541.41100.7292
0.60058.01761.25880.7513
0.60059.01981.28030.7758
0.010910.02201.28640.7680

Framework versions

  • Transformers 4.48.0
  • Pytorch 2.5.1
  • Datasets 3.2.0
  • Tokenizers 0.21.0