dmargutierrez / xlm-roberta-base-mapa_coarse-ner

huggingface.co
Total runs: 114
24-hour runs: -1
7-day runs: 104
30-day runs: 105
Model's Last Updated: 2023年3月21日
token-classification

Introduction of xlm-roberta-base-mapa_coarse-ner

Model Details of xlm-roberta-base-mapa_coarse-ner

xlm-roberta-base-mapa_coarse-ner

This model is a fine-tuned version of xlm-roberta-base on the lextreme dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0515
  • Precision: 0.6624
  • Recall: 0.6657
  • F1: 0.6640
  • Accuracy: 0.9872
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
Training results
Training Loss Epoch Step Validation Loss Precision Recall F1 Accuracy
0.0584 1.0 1739 0.0576 0.6088 0.5790 0.5935 0.9860
0.0475 2.0 3478 0.0522 0.6455 0.6574 0.6514 0.9870
0.0409 3.0 5217 0.0517 0.6490 0.6675 0.6581 0.9871
0.04 4.0 6956 0.0516 0.6562 0.6720 0.6640 0.9871
0.0422 5.0 8695 0.0513 0.6573 0.6722 0.6647 0.9871
0.0398 6.0 10434 0.0515 0.6602 0.6697 0.6649 0.9872
0.0407 7.0 12173 0.0516 0.6612 0.6663 0.6638 0.9872
0.0382 8.0 13912 0.0516 0.6626 0.6648 0.6637 0.9872
0.0398 9.0 15651 0.0515 0.6627 0.6660 0.6643 0.9872
0.0401 10.0 17390 0.0515 0.6624 0.6657 0.6640 0.9872
Framework versions
  • Transformers 4.26.0
  • Pytorch 1.13.1+cu117
  • Datasets 2.9.0
  • Tokenizers 0.13.2

Runs of dmargutierrez xlm-roberta-base-mapa_coarse-ner on huggingface.co

114
Total runs
-1
24-hour runs
2
3-day runs
104
7-day runs
105
30-day runs

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xlm-roberta-base-mapa_coarse-ner install

xlm-roberta-base-mapa_coarse-ner is an open source model from GitHub that offers a free installation service, and any user can find xlm-roberta-base-mapa_coarse-ner on GitHub to install. At the same time, huggingface.co provides the effect of xlm-roberta-base-mapa_coarse-ner install, users can directly use xlm-roberta-base-mapa_coarse-ner installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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