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datasetsANDmodels/benginVSmaliuos

sourceHugging Facemitupdated 1y agoView on Hugging Face
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This model classifies bengin/maliuos from English text.

bm

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

  • Loss: 0.0000

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: 2e-05
  • trainbatchsize: 8
  • evalbatchsize: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lrschedulertype: linear
  • num_epochs: 10

Training results

Training LossEpochStepValidation Loss
0.06021.07670.0000
0.02.015340.0000
0.03.023010.0000
0.04.030680.0000
0.05.038350.0000
0.06.046020.0000
0.07.053690.0000
0.08.061360.0000
0.09.069030.0000
0.010.076700.0000

Framework versions

  • Transformers 4.38.2
  • Pytorch 2.2.0
  • Datasets 2.15.0
  • Tokenizers 0.15.0