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qminh369/token-classification-llmlingua2-phobert-bctn-2308_sample-10_epoch_best_data

sourceHugging Faceupdated 2y agoView on Hugging Face
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token-classification-llmlingua2-phobert-bctn-2308sample-10epochbestdata

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: 0.3044

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: 32
  • —evalbatchsize: 32
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 10

Training results

Training LossEpochStepValidation Loss
No log1.0580.3799
No log2.01160.3286
No log3.01740.3129
No log4.02320.3105
No log5.02900.3104
No log6.03480.3064
No log7.04060.3045
No log8.04640.3049
0.33099.05220.3044
0.330910.05800.3054

Framework versions

  • —Transformers 4.39.0.dev0
  • —Pytorch 2.2.1+cu118
  • —Datasets 2.18.0
  • —Tokenizers 0.15.2