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ThuyNT03/xlm-roberta-base-Final_VietNam-aug_replace_synonym

sourceHugging Facemitupdated 3y agoView on Hugging Face
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Model Card

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xlm-roberta-base-FinalVietNam-augreplace_synonym

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

  • —Loss: 1.1196
  • —Accuracy: 0.74
  • —F1: 0.7476

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: 16
  • —evalbatchsize: 16
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 8

Training results

Training LossEpochStepValidation LossAccuracyF1
1.02361.0860.83880.660.6569
0.6982.01720.75810.710.7064
0.51363.02580.76040.740.7348
0.38534.03440.80440.750.7563
0.22995.04300.78550.740.7484
0.20546.05160.97260.740.7459
0.14387.06021.11000.730.7386
0.1088.06881.11960.740.7476

Framework versions

  • —Transformers 4.32.1
  • —Pytorch 2.0.0
  • —Datasets 2.14.4
  • —Tokenizers 0.13.3