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salohnana2018/OTE-domianAdaption-DAPT-TAPT-ABSA-MARBERT2-HARD-SemEval-run3

sourceHugging Faceupdated 3y agoView on Hugging Face
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OTE-domianAdaption-DAPT-TAPT-ABSA-MARBERT2-HARD-SemEval-run3

This model is a fine-tuned version of salohnana2018/MARBERTV2-domianAdaption-OTE-ABSA-HARD-Semeval on the None dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.1319
  • —Precision: 0.7492
  • —Recall: 0.8213
  • —F1: 0.7836
  • —Accuracy: 0.9521

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: 32
  • —evalbatchsize: 8
  • —seed: 23
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 3

Training results

Training LossEpochStepValidation LossPrecisionRecallF1Accuracy
0.20491.01210.12320.76850.78680.77750.9530
0.10022.02420.12580.73760.83230.78210.9511
0.07473.03630.13190.74920.82130.78360.9521

Framework versions

  • —Transformers 4.29.2
  • —Pytorch 2.0.1+cu118
  • —Datasets 2.12.0
  • —Tokenizers 0.13.3