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ThuyNT03/KLTN_CSI_COQE_total_v2

sourceHugging Facemitupdated 3y agoView on Hugging Face
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KLTNCSICOQEtotalv2

This model is a fine-tuned version of xlm-roberta-base on an unknown dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.1796

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: 1e-05
  • —trainbatchsize: 16
  • —evalbatchsize: 64
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 15

Training results

Training LossEpochStepValidation Loss
No log1.03080.2267
0.25061.996160.2477
0.25062.999240.2202
0.23143.9912320.2421
0.22214.9815400.2145
0.22215.9818480.2034
0.22056.9821560.1953
0.22057.9724640.1864
0.21868.9727720.1938
0.20659.9730800.1961
0.206510.9633880.1790
0.207311.9636960.1843
0.199712.9640040.1839
0.199713.9543120.1786
0.197314.9546200.1796

Framework versions

  • —Transformers 4.35.2
  • —Pytorch 2.1.0+cu121
  • —Datasets 2.16.1
  • —Tokenizers 0.15.0