ner_fine_tuned_gdsc_tutoring_fariz
This model is a fine-tuned version of cahya/bert-base-indonesian-NER on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.8927
- Precision: 0.5946
- Recall: 0.5116
- F1: 0.55
- Accuracy: 0.8763
Model description
More information needed
Intended uses & limitations
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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: 3
Training results
Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
---|---|---|---|---|---|---|---|
No log | 1.0 | 8 | 0.9070 | 0.6471 | 0.5116 | 0.5714 | 0.8866 |
No log | 2.0 | 16 | 0.8893 | 0.5946 | 0.5116 | 0.55 | 0.8763 |
No log | 3.0 | 24 | 0.8927 | 0.5946 | 0.5116 | 0.55 | 0.8763 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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Model tree for farizkuy/ner_fine_tuned_gdsc_tutoring_fariz
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cahya/bert-base-indonesian-NER
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