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thusken/nb-bert-base-ctr-regression

sourceHugging Facecc-by-4.0updated 3y agoView on Hugging Face
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nb-bert-base-ctr-regression

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

  • Loss: 0.0073
  • Mse: 0.0073

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: 3e-05
  • trainbatchsize: 16
  • evalbatchsize: 64
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lrschedulertype: linear
  • lrschedulerwarmup_steps: 500
  • num_epochs: 10
  • mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossMse
0.01061.011030.00690.0069
0.00732.022060.00720.0072
0.00583.033090.00630.0063
0.00384.044120.00730.0073
0.00255.055150.00640.0064
0.00196.066180.00650.0065
0.00147.077210.00660.0066
0.00118.088240.00670.0067
0.00089.099270.00660.0066
0.000710.0110300.00660.0066

Framework versions

  • Transformers 4.17.0
  • Pytorch 1.10.2+cu113
  • Datasets 1.18.4
  • Tokenizers 0.12.1