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ThuyNT03/CS505-L2T_AP1_CSI-PhoBERT

sourceHugging Faceupdated 3y agoView on Hugging Face
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Model Card

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CS505-L2TAP1CSI-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: 0.0045

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: 10

Training results

Training LossEpochStepValidation Loss
No log1.03330.2105
0.28031.996660.1425
0.28032.999990.0768
0.1493.9913320.0577
0.07714.9916650.0252
0.07715.9819980.0281
0.04436.9823310.0089
0.01967.9826640.0053
0.01968.9729970.0072
0.01249.9733300.0045

Framework versions

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