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Davincilee/door_inner_with_SA-bert-base-uncased

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

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doorinnerwith_SA-bert-base-uncased

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

  • Loss: 2.1513

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: 6
  • evalbatchsize: 6
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lrschedulertype: linear
  • num_epochs: 12

Training results

Training LossEpochStepValidation Loss
2.54921.0962.3831
2.40312.01922.2963
2.33913.02882.2000
2.29514.03842.2505
2.21515.04802.1691
2.22376.05762.1855
2.19847.06722.2558
2.17498.07682.2019
2.14759.08642.1310
2.144610.09602.1334
2.137411.010562.1909
2.111712.011522.2028

Framework versions

  • Transformers 4.19.0
  • Pytorch 1.11.0+cu113
  • Datasets 2.2.1
  • Tokenizers 0.12.1