aomar85 / fine-tuned-bert-base-multilingual-uncased-NED

huggingface.co
Total runs: 20
24-hour runs: 0
7-day runs: 2
30-day runs: 16
Model's Last Updated: May 17 2022
text-classification

Introduction of fine-tuned-bert-base-multilingual-uncased-NED

Model Details of fine-tuned-bert-base-multilingual-uncased-NED

fine-tuned-bert-base-multilingual-uncased-NED

This model is a fine-tuned version of bert-base-multilingual-uncased on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.2011
  • Accuracy: 0.9544
  • Precision: 0.9526
  • Recall: 0.9787
  • F1: 0.9655
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
  • train_batch_size: 16
  • eval_batch_size: 16
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 10
  • mixed_precision_training: Native AMP
Training results
Training Loss Epoch Step Validation Loss Accuracy Precision Recall F1
0.1486 1.0 69088 0.1060 0.9660 0.9805 0.9671 0.9738
0.1429 2.0 138176 0.1431 0.9634 0.9778 0.9657 0.9718
0.1655 3.0 207264 0.1299 0.9592 0.9801 0.9569 0.9683
0.175 4.0 276352 0.2011 0.9544 0.9526 0.9787 0.9655
Framework versions
  • Transformers 4.19.1
  • Pytorch 1.11.0+cu113
  • Datasets 2.2.1
  • Tokenizers 0.12.1

Runs of aomar85 fine-tuned-bert-base-multilingual-uncased-NED on huggingface.co

20
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0
24-hour runs
2
3-day runs
2
7-day runs
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30-day runs

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