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youralien/roberta-Self-disclosure-goodareas-eval_FeedbackESConv5pp_CARE10pp-sweeps-current

sourceHugging Facemitupdated 2y agoView on Hugging Face
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Model Card

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roberta-Self-disclosure-goodareas-evalFeedbackESConv5ppCARE10pp-sweeps-current

This model is a fine-tuned version of FacebookAI/roberta-large on the None dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.0934
  • —Accuracy: 0.9499
  • —Precision: 0.0
  • —Recall: 0.0
  • —F1: 0.0

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: 2.795513414584724e-06
  • —trainbatchsize: 16
  • —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
  • —lrschedulerwarmup_ratio: 0.1
  • —num_epochs: 5

Training results

Training LossEpochStepValidation LossAccuracyPrecisionRecallF1
0.39391.0710.10910.94990.00.00.0
0.30382.01420.11320.94990.00.00.0
0.29073.02130.08090.94990.00.00.0
0.27314.02840.08880.94990.00.00.0
0.27425.03550.09340.94990.00.00.0

Framework versions

  • —Transformers 4.49.0
  • —Pytorch 2.5.1+cu124
  • —Datasets 2.21.0
  • —Tokenizers 0.21.0