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bif02/operons_function_family_conservation_string_224308

sourceHugging Facemitupdated 7mo agoView on Hugging Face
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Model Card

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operonsfunctionfamilyconservationstring_224308

This model is a fine-tuned version of roberta-base on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.3812
  • Accuracy: 0.8479

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: 3e-05
  • trainbatchsize: 32
  • evalbatchsize: 32
  • seed: 0
  • 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 LossAccuracy
No log1.01610.43800.8234
No log2.03220.35310.8462
No log3.04830.38100.8479
0.39014.06440.36390.8357
0.39015.08050.40190.8217
0.39016.09660.37940.8479
0.32377.011270.44670.8479
0.32378.012880.42500.8479
0.32379.014490.44290.8409
0.274310.016100.44870.8392

Framework versions

  • Transformers 5.0.0
  • Pytorch 2.10.0+cu128
  • Datasets 4.0.0
  • Tokenizers 0.22.2