CoolFace
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yemen2016/MeMo_BERT-SA_botxo

sourceHugging Facecc-by-4.0updated 3y agoView on Hugging Face
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Model Card

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MeMoBERT-SAbotxo

This model is a fine-tuned version of Maltehb/danish-bert-botxo on an unknown dataset. It achieves the following results on the evaluation set:

  • —Loss: 2.6385
  • —F1-score: 0.7374

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 log1.02970.77850.6992
0.71192.05940.91460.6732
0.71193.08911.46860.7087
0.27124.011881.56260.7091
0.27125.014851.97100.6548
0.096.017822.04420.7169
0.02737.020792.11530.7326
0.02738.023762.37410.7005
0.00719.026732.61510.6977
0.007110.029702.55600.7107
0.011211.032672.56970.7220
0.006312.035642.59560.7185
0.006313.038612.63830.7189
0.000114.041582.97750.6755
0.000115.044552.65570.7247
0.004416.047522.67880.7305
0.002317.050492.63850.7374
0.002318.053462.67500.7186
0.002519.056432.68210.7186
0.002520.059402.68200.7186

Framework versions

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