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ThuyNT03/xlm-roberta-base-Final_VietNam-aug_replace_synonym-1

sourceHugging Facemitupdated 3y agoView on Hugging Face
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Model Card

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xlm-roberta-base-FinalVietNam-augreplace_synonym-1

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: 1.1150
  • —Accuracy: 0.7
  • —F1: 0.7043

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: 41
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 8

Training results

Training LossEpochStepValidation LossAccuracyF1
0.97971.0860.76430.690.6814
0.71332.01720.69420.720.7190
0.54423.02580.71800.70.6996
0.40454.03440.92800.720.7240
0.29545.04300.94190.680.6914
0.22226.05161.00020.710.7164
0.17167.06021.07220.710.7195
0.15278.06881.11500.70.7043

Framework versions

  • —Transformers 4.33.1
  • —Pytorch 2.0.1+cu118
  • —Datasets 2.14.5
  • —Tokenizers 0.13.3