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

sourceHugging Facemitupdated 3y agoView on Hugging Face
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Model Card

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xlm-roberta-base-FinalVietNam-augreplace_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: 1.0605
  • —Accuracy: 0.73
  • —F1: 0.7346

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
1.0921.0861.00330.620.5336
0.85922.01720.80780.630.5677
0.63523.02580.68410.740.7420
0.49324.03440.69970.750.7531
0.37585.04300.82250.730.7319
0.26186.05160.90790.730.7330
0.18987.06021.02440.730.7346
0.17358.06881.06050.730.7346

Framework versions

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