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intanm/20230430-001-baseline-mbert-qa-ft-clickbait-spoiling

sourceHugging Faceapache-2.0updated 3y agoView on Hugging Face
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20230430-001-baseline-mbert-qa-ft-clickbait-spoiling

This model is a fine-tuned version of intanm/mBERT-squad on the None dataset. It achieves the following results on the evaluation set:

  • —Loss: 4.9090

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: 10

Training results

Training LossEpochStepValidation Loss
No log1.02002.8250
No log2.04002.7890
2.57583.06003.0925
2.57584.08003.5365
1.17075.010003.9249
1.17076.012004.2093
1.17077.014004.4076
0.49828.016004.7308
0.49829.018004.8659
0.273210.020004.9090

Framework versions

  • —Transformers 4.28.1
  • —Pytorch 2.0.0+cu118
  • —Datasets 2.12.0
  • —Tokenizers 0.13.3