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franfj/UNEDMediaBiasTeam_at_SemEval23_Task3_Subtask1_PRE_BABE_dataset

sourceHugging Faceapache-2.0updated 1y agoView on Hugging Face
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Model Card

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semeval23-t3-st1-en-babe-distilbert-base-uncased-finetuned-sst-2-english

This model is a fine-tuned version of distilbert-base-uncased-finetuned-sst-2-english on the None dataset. It achieves the following results on the evaluation set:

  • —Loss: 3.5298
  • —F1: 0.4120

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: 64
  • —evalbatchsize: 64
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 5
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossF1
No log1.0223.41200.3965
No log2.0443.44360.3834
No log3.0663.52980.4120
No log4.0883.55580.4018
No log5.01103.60860.4002

Framework versions

  • —Transformers 4.25.1
  • —Pytorch 1.13.1
  • —Datasets 2.8.0
  • —Tokenizers 0.13.2