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ThuyNT03/xlm-roberta-base-Final_VietNam-aug_insert_synonym-2

sourceHugging Facemitupdated 3y agoView on Hugging Face
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Model Card

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xlm-roberta-base-FinalVietNam-auginsert_synonym-2

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: 1.3966
  • —Accuracy: 0.67
  • —F1: 0.6754

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: 40
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 8

Training results

Training LossEpochStepValidation LossAccuracyF1
1.02221.0870.80950.650.6380
0.64872.01740.73750.670.6640
0.45543.02610.79620.710.7084
0.31944.03480.81020.710.7161
0.23035.04351.17930.650.6607
0.17286.05221.16970.720.7245
0.1277.06091.35090.690.6943
0.09278.06961.39660.670.6754

Framework versions

  • —Transformers 4.32.1
  • —Pytorch 2.0.1+cu118
  • —Datasets 2.14.4
  • —Tokenizers 0.13.3