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youralien/roberta-Validation-goodareas-eval_FeedbackESConv5pp_CARE10pp-sweeps-current

sourceHugging Facemitupdated 2y agoView on Hugging Face
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roberta-Validation-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: 0.3698
  • Accuracy: 0.8216
  • Precision: 0.4348
  • Recall: 0.5932
  • F1: 0.5018

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: 1.6142257525574262e-05
  • 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
0.49271.02960.28770.84340.47920.38980.4299
0.38552.05920.25660.86650.57140.47460.5185
0.32573.08880.25340.85750.53680.43220.4789
0.25534.011840.32900.82160.43710.61860.5123
0.19115.014800.36980.82160.43480.59320.5018

Framework versions

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