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ThuyNT03/xlm-roberta-base-Final_VietNam-aug_insert_synonym

sourceHugging Facemitupdated 3y agoView on Hugging Face
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Model Card

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xlm-roberta-base-FinalVietNam-auginsert_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: 1.0797
  • —Accuracy: 0.76
  • —F1: 0.7646

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
1.07011.0871.03660.520.4318
0.8672.01740.77890.680.6607
0.60413.02610.70270.710.7149
0.43344.03480.76180.740.7429
0.30545.04350.77010.720.7208
0.22886.05220.98440.720.7249
0.18177.06091.00400.730.7358
0.13698.06961.07970.760.7646

Framework versions

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