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Named Entity Recognition based on bertoslav-limited

This model is a fine-tuned version of crabz/bertoslav-limited on the Slovak wikiann dataset. It achieves the following results on the evaluation set:

  • Loss: 0.2119
  • Precision: 0.8986
  • Recall: 0.9174
  • F1: 0.9079
  • Accuracy: 0.9700

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 5e-05
  • train_batch_size: 24
  • eval_batch_size: 24
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 10.0

Training results

Training Loss Epoch Step Validation Loss Precision Recall F1 Accuracy
0.2953 1.0 834 0.1516 0.8413 0.8647 0.8529 0.9549
0.0975 2.0 1668 0.1304 0.8787 0.9056 0.8920 0.9658
0.0487 3.0 2502 0.1405 0.8916 0.8958 0.8937 0.9660
0.025 4.0 3336 0.1658 0.8850 0.9116 0.8981 0.9669
0.0161 5.0 4170 0.1739 0.8974 0.9127 0.9050 0.9693
0.0074 6.0 5004 0.1888 0.8900 0.9144 0.9020 0.9687
0.0051 7.0 5838 0.1996 0.8946 0.9145 0.9044 0.9693
0.0039 8.0 6672 0.2052 0.8993 0.9158 0.9075 0.9697
0.0024 9.0 7506 0.2112 0.8946 0.9171 0.9057 0.9696
0.0018 10.0 8340 0.2119 0.8986 0.9174 0.9079 0.9700

Framework versions

  • Transformers 4.14.0.dev0
  • Pytorch 1.10.0
  • Datasets 1.16.1
  • Tokenizers 0.10.3
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Dataset used to train crabz/bertoslav-limited-ner

Evaluation results