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xlm-roberta-large-indonesian-NER-finetuned-ner
This model is a fine-tuned version of cahya/xlm-roberta-large-indonesian-NER on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0489
- Precision: 0.9254
- Recall: 0.9394
- F1: 0.9324
- Accuracy: 0.9851
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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.0496 | 1.0 | 1767 | 0.0489 | 0.9254 | 0.9394 | 0.9324 | 0.9851 |
Framework versions
- Transformers 4.19.2
- Pytorch 1.11.0+cu113
- Datasets 2.2.2
- Tokenizers 0.12.1
