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ngocminhta/RoBERTa-MGT-Crossdomain

sourceHugging Facemitupdated 2y agoView on Hugging Face
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Model Card

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RoBERTa-MGT-Crossdomain

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

  • —Loss: 0.7562

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: 8
  • —evalbatchsize: 8
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —lrschedulerwarmup_steps: 500
  • —num_epochs: 10

Training results

Training LossEpochStepValidation Loss
No log1.024000.3634
No log2.048000.5188
0.49123.072000.5234
0.49124.096000.4002
0.29565.0120000.5178
0.29566.0144000.4614
0.20487.0168000.5688
0.20488.0192000.7062
0.11949.0216000.6674
0.119410.0240000.7562

Framework versions

  • —Transformers 4.40.0
  • —Pytorch 2.3.0+cu121
  • —Datasets 2.19.2
  • —Tokenizers 0.19.1