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ali2066/DistilBERTFINAL_ctxSentence_TRAIN_webDiscourse_TEST_NULL_second_train_set_null_False

sourceHugging Faceupdated 4y agoView on Hugging Face
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DistilBERTFINALctxSentenceTRAINwebDiscourseTESTNULLsecondtrainsetnullFalse

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

  • —Loss: 3.2555
  • —Precision: 1.0
  • —Recall: 0.0200
  • —F1: 0.0393
  • —Accuracy: 0.0486

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: 1e-05
  • —trainbatchsize: 32
  • —evalbatchsize: 32
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 5

Training results

Training LossEpochStepValidation LossPrecisionRecallF1Accuracy
No log1.0950.5756nan0.0nan0.715
No log2.01900.53400.64290.15790.25350.735
No log3.02850.52980.58330.36840.45160.745
No log4.03800.53250.57890.38600.46320.745
No log5.04750.54520.48150.45610.46850.705

Framework versions

  • —Transformers 4.15.0
  • —Pytorch 1.10.1+cu113
  • —Datasets 1.18.0
  • —Tokenizers 0.10.3