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GhifSmile/textClass-finetuned-coba-conf-orang

sourceHugging Faceapache-2.0updated 4y agoView on Hugging Face
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Model Card

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textClass-finetuned-coba-conf-orang

This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.4868
  • —Accuracy: 0.7856

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: 5

Training results

Training LossEpochStepValidation LossAccuracy
0.51081.027570.46520.7761
0.44842.055140.44470.7881
0.40313.082710.45520.7891
0.36464.0110280.47200.7911
0.33725.0137850.48680.7856

Framework versions

  • —Transformers 4.24.0
  • —Pytorch 1.12.1+cu113
  • —Datasets 2.7.1
  • —Tokenizers 0.13.2