cahya / NusaBert-ner

huggingface.co
Total runs: 10
24-hour runs: 0
7-day runs: -2
30-day runs: -130
Model's Last Updated: April 17 2025
token-classification

Introduction of NusaBert-ner

Model Details of NusaBert-ner

NusaBert-ner

This model is a fine-tuned version of cahya/NusaBert-v0.5 on the conll2003 dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1065
  • Precision: 0.8695
  • Recall: 0.9027
  • F1: 0.8858
  • Accuracy: 0.9798
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: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • num_epochs: 3
Training results
Training Loss Epoch Step Validation Loss Precision Recall F1 Accuracy
0.0988 1.0 1756 0.0918 0.8335 0.8701 0.8514 0.9732
0.0313 2.0 3512 0.0973 0.8639 0.8950 0.8792 0.9778
0.0083 3.0 5268 0.1065 0.8695 0.9027 0.8858 0.9798
Framework versions
  • Transformers 4.48.2
  • Pytorch 2.5.1+cu124
  • Datasets 3.2.0
  • Tokenizers 0.21.0

Runs of cahya NusaBert-ner on huggingface.co

10
Total runs
0
24-hour runs
0
3-day runs
-2
7-day runs
-130
30-day runs

More Information About NusaBert-ner huggingface.co Model

NusaBert-ner huggingface.co

NusaBert-ner huggingface.co is an AI model on huggingface.co that provides NusaBert-ner's model effect (), which can be used instantly with this cahya NusaBert-ner model. huggingface.co supports a free trial of the NusaBert-ner model, and also provides paid use of the NusaBert-ner. Support call NusaBert-ner model through api, including Node.js, Python, http.

NusaBert-ner huggingface.co Url

https://huggingface.co/cahya/NusaBert-ner

cahya NusaBert-ner online free

NusaBert-ner huggingface.co is an online trial and call api platform, which integrates NusaBert-ner's modeling effects, including api services, and provides a free online trial of NusaBert-ner, you can try NusaBert-ner online for free by clicking the link below.

cahya NusaBert-ner online free url in huggingface.co:

https://huggingface.co/cahya/NusaBert-ner

NusaBert-ner install

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

NusaBert-ner install url in huggingface.co:

https://huggingface.co/cahya/NusaBert-ner

Url of NusaBert-ner

NusaBert-ner huggingface.co Url

Provider of NusaBert-ner huggingface.co

cahya
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