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ThuyNT03/CS505-L2T_AP2_filter0_CSI-PhoBERT

sourceHugging Faceupdated 3y agoView on Hugging Face
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Model Card

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CS505-L2TAP2filter0_CSI-PhoBERT

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: 0.0016

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 log1.03190.1698
0.28211.996380.1067
0.28212.999570.0762
0.15683.9912760.0882
0.07824.9815950.0396
0.07825.9819140.0129
0.0416.9822330.0120
0.0217.9725520.0099
0.0218.9728710.0160
0.01159.9731900.0069
0.017310.9735090.0054
0.017311.9638280.0048
0.009612.9641470.0021
0.009613.9644660.0036
0.007514.9547850.0016

Framework versions

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