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indonesian_nergrit_bert_base_multilingual_cased
AptaArkana/indonesian_nergrit_bert_base_multilingual_cased
indonesian_nergrit_bert_base_multilingual_cased 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 apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Token Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Mar 26, 2024
- Updated
- Mar 26, 2024
- SHA
- cf345bf2
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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
This model is a fine-tuned version of google-bert/bert-base-multilingual-cased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2832
- Precision: 0.8019
- Recall: 0.8379
- F1: 0.8195
- Accuracy: 0.9411
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: 1e-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 |
|---|---|---|---|---|---|---|---|
| 0.2947 | 1.0 | 1567 | 0.2493 | 0.7364 | 0.7978 | 0.7658 | 0.9276 |
| 0.1966 | 2.0 | 3134 | 0.2276 | 0.7717 | 0.8150 | 0.7927 | 0.9351 |
| 0.1486 | 3.0 | 4701 | 0.2354 | 0.7773 | 0.8293 | 0.8025 | 0.9366 |
| 0.1183 | 4.0 | 6268 | 0.2468 | 0.8001 | 0.8388 | 0.8190 | 0.9396 |
| 0.096 | 5.0 | 7835 | 0.2539 | 0.8093 | 0.8296 | 0.8193 | 0.9407 |
| 0.0772 | 6.0 | 9402 | 0.2717 | 0.8000 | 0.8382 | 0.8187 | 0.9395 |
| 0.0648 | 7.0 | 10969 | 0.2822 | 0.8010 | 0.8400 | 0.8201 | 0.9412 |
| 0.0556 | 8.0 | 12536 | 0.2832 | 0.8019 | 0.8379 | 0.8195 | 0.9411 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2
- Task
- Token Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Mar 26, 2024
- Updated
- Mar 26, 2024