CoolFace
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yemen2016/MeMo_BERT-WSD-ScandiBERT

sourceHugging Faceagpl-3.0updated 3y agoView on Hugging Face
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Model Card

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MeMo_BERT-WSD-ScandiBERT

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

  • —Loss: 2.0491
  • —F1-score: 0.4001

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: 5e-05
  • —trainbatchsize: 8
  • —evalbatchsize: 8
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 20

Training results

Training LossEpochStepValidation LossF1-score
No log1.0611.37600.1229
No log2.01221.40640.1229
No log3.01831.47530.1229
No log4.02441.32550.1229
No log5.03051.36490.1229
No log6.03661.37840.1229
No log7.04271.33120.2191
No log8.04881.37170.1229
1.28089.05491.50630.1229
1.280810.06101.25760.3721
1.280811.06711.46300.3622
1.280812.07321.77780.3258
1.280813.07932.22330.3402
1.280814.08542.16840.3619
1.280815.09152.00340.3668
1.280816.09761.83740.3818
0.925117.010371.91040.3956
0.925118.010982.04910.4001
0.925119.011592.14290.3534
0.925120.012202.13520.3648

Framework versions

  • —Transformers 4.38.2
  • —Pytorch 2.2.1+cu121
  • —Datasets 2.18.0
  • —Tokenizers 0.15.2