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indonesian_bert_case_model_nergrit
AptaArkana/indonesian_bert_case_model_nergrit
indonesian_bert_case_model_nergrit is a token classification model from AptaArkana. Use it when you need labels on individual words, such as names. It is set up for transformers. The card lists the license as afl-3.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Token Classification
- Library
- transformers
- License
- afl-3.0
- Model type
- bert
- Access
- Public
- Created
- Feb 19, 2024
- Updated
- Feb 29, 2024
- SHA
- da70a536
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Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
belajarner_bert_case
This model is a fine-tuned version of Davlan/bert-base-multilingual-cased-ner-hrl on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3309
- Precision: 0.8120
- Recall: 0.8430
- F1: 0.8272
- Accuracy: 0.9423
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.2528 | 1.0 | 1567 | 0.2352 | 0.7442 | 0.8116 | 0.7765 | 0.9282 |
| 0.1653 | 2.0 | 3134 | 0.2250 | 0.8008 | 0.8218 | 0.8112 | 0.9378 |
| 0.1125 | 3.0 | 4701 | 0.2545 | 0.7703 | 0.8381 | 0.8028 | 0.9343 |
| 0.083 | 4.0 | 6268 | 0.2633 | 0.8065 | 0.8353 | 0.8206 | 0.9401 |
| 0.0602 | 5.0 | 7835 | 0.2860 | 0.8124 | 0.8229 | 0.8176 | 0.9413 |
| 0.0411 | 6.0 | 9402 | 0.3129 | 0.8026 | 0.8353 | 0.8186 | 0.9404 |
| 0.0324 | 7.0 | 10969 | 0.3180 | 0.8036 | 0.8400 | 0.8214 | 0.9418 |
| 0.0248 | 8.0 | 12536 | 0.3309 | 0.8120 | 0.8430 | 0.8272 | 0.9423 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2
- Task
- Token Classification
- Library
- transformers
- Type
- bert
- License
- afl-3.0
- Created
- Feb 19, 2024
- Updated
- Feb 29, 2024