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w11wo/indonesian-roberta-base-nerp-tagger

🤗 Hugging Face sourcetoken-classificationmit124M params496 MBsafetensors✓ 5 checksumsupdated today
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indonesian-roberta-base-nerp-tagger

This model is a fine-tuned version of flax-community/indonesian-roberta-base on the indonlu dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1180
  • Precision: 0.8102
  • Recall: 0.8107
  • F1: 0.8105
  • Accuracy: 0.9615

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
No log 1.0 420 0.1419 0.7491 0.8034 0.7753 0.9551
0.2261 2.0 840 0.1317 0.7889 0.7983 0.7936 0.9569
0.1081 3.0 1260 0.1430 0.7587 0.8300 0.7927 0.9546
0.0777 4.0 1680 0.1459 0.7848 0.8266 0.8052 0.9577
0.0563 5.0 2100 0.1525 0.7923 0.8125 0.8022 0.9579
0.0441 6.0 2520 0.1552 0.7986 0.8176 0.8080 0.9584
0.0441 7.0 2940 0.1692 0.7910 0.8232 0.8068 0.9584
0.0387 8.0 3360 0.1677 0.7894 0.8306 0.8095 0.9588
0.032 9.0 3780 0.1784 0.7939 0.8249 0.8091 0.9586
0.0284 10.0 4200 0.1817 0.7950 0.8261 0.8102 0.9588

Framework versions

  • Transformers 4.37.2
  • Pytorch 2.2.0+cu118
  • Datasets 2.16.1
  • Tokenizers 0.15.1