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ThuyNT03/PhoBERT-Final_VietNam-aug_backtranslation

sourceHugging Faceupdated 3y agoView on Hugging Face
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PhoBERT-train-aug_backtranslation

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: 1.1713
  • —Accuracy: 0.69
  • —F1: 0.6970

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: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 8

Training results

Training LossEpochStepValidation LossAccuracyF1
0.85571.0860.78420.70.6993
0.54892.01720.67020.740.7413
0.38773.02580.81220.680.6807
0.28134.03440.81460.730.7413
0.19195.04300.98900.710.7218
0.16696.05161.04360.680.6876
0.14237.06021.14470.690.6976
0.1038.06881.17130.690.6970

Framework versions

  • —Transformers 4.32.1
  • —Pytorch 2.0.1+cu118
  • —Datasets 2.14.4
  • —Tokenizers 0.13.3