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ThuyNT03/KLTN_CSI_PhoBERRT_v2

sourceHugging Faceupdated 3y agoView on Hugging Face
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KLTNCSIPhoBERRT_v2

This model is a fine-tuned version of vinai/phobert-base-v2 on the None dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.0007

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: 8
  • —seed: 41
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 15

Training results

Training LossEpochStepValidation Loss
No log1.03690.1283
0.24652.07380.0901
0.13813.011070.0591
0.13814.014760.0484
0.09165.018450.0397
0.04556.022140.0151
0.03357.025830.0170
0.03358.029520.0157
0.01649.033210.0036
0.0110.036900.0018
0.006511.040590.0031
0.006512.044280.0030
0.005713.047970.0053
0.007114.051660.0007
0.002215.055350.0007

Framework versions

  • —Transformers 4.39.1
  • —Pytorch 2.2.1+cu121
  • —Datasets 2.18.0
  • —Tokenizers 0.15.2