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GItaf/bart-base-finetuned-mbti

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

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bart-base-finetuned-mbti

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

  • —Loss: 0.0000

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: 8
  • —evalbatchsize: 8
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 5

Training results

Training LossEpochStepValidation Loss
0.00251.099200.0000
0.00052.0198400.0000
0.00023.0297600.0000
0.00014.0396800.0000
0.00015.0496000.0000

Framework versions

  • —Transformers 4.21.2
  • —Pytorch 1.12.1
  • —Datasets 2.4.0
  • —Tokenizers 0.12.1