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domenicrosati/deberta-v3-large-finetuned-syndag-multiclass-remove-google-scielo

sourceHugging Facemitupdated 4y agoView on Hugging Face
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Model Card

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deberta-v3-large-finetuned-syndag-multiclass-remove-google-scielo

This model is a fine-tuned version of microsoft/deberta-v3-large on an unknown dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.0214
  • —F1: 0.9967
  • —Precision: 0.9967
  • —Recall: 0.9967

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: 6e-06
  • —trainbatchsize: 8
  • —evalbatchsize: 8
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —lrschedulerwarmup_steps: 50
  • —num_epochs: 3
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossF1PrecisionRecall
0.01691.0107710.02580.99430.99430.9943
0.01222.0215420.02350.99560.99560.9956
0.01113.0323130.02190.99640.99640.9964

Framework versions

  • —Transformers 4.18.0
  • —Pytorch 1.11.0
  • —Datasets 2.1.0
  • —Tokenizers 0.12.1