CoolFace
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Haldis/norbert2-finetuned-comments

sourceHugging Facecc-by-4.0updated 4y agoView on Hugging Face
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Model Card

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norbert2-finetuned-comments

This model is a fine-tuned version of ltgoslo/norbert2 on an unknown dataset. It achieves the following results on the evaluation set:

  • —Loss: 2.8562

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: 17
  • —evalbatchsize: 17
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 10

Training results

Training LossEpochStepValidation Loss
3.71151.010303.2753
3.2482.020603.0974
3.08253.030903.0759
2.9924.041203.0478
2.89565.051502.9340
2.83156.061802.9893
2.77727.072102.9035
2.70378.082402.8797
2.64319.092702.8799
2.634510.0103002.8809

Framework versions

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