ner_fine_tuned
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: 1.0080
- Precision: 0.6970
- Recall: 0.5349
- F1: 0.6053
- Accuracy: 0.8900
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: 15
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 8 | 0.5649 | 0.625 | 0.4651 | 0.5333 | 0.8832 |
| No log | 2.0 | 16 | 0.6457 | 0.7857 | 0.5116 | 0.6197 | 0.9003 |
| No log | 3.0 | 24 | 0.7181 | 0.6471 | 0.5116 | 0.5714 | 0.8832 |
| No log | 4.0 | 32 | 0.8134 | 0.6970 | 0.5349 | 0.6053 | 0.8900 |
| No log | 5.0 | 40 | 0.8528 | 0.6667 | 0.5116 | 0.5789 | 0.8866 |
| No log | 6.0 | 48 | 0.8893 | 0.6667 | 0.5116 | 0.5789 | 0.8866 |
| No log | 7.0 | 56 | 0.9148 | 0.6667 | 0.5116 | 0.5789 | 0.8866 |
| No log | 8.0 | 64 | 0.9440 | 0.6667 | 0.5116 | 0.5789 | 0.8866 |
| No log | 9.0 | 72 | 0.9744 | 0.6970 | 0.5349 | 0.6053 | 0.8900 |
| No log | 10.0 | 80 | 0.9895 | 0.6765 | 0.5349 | 0.5974 | 0.8900 |
| No log | 11.0 | 88 | 0.9968 | 0.6970 | 0.5349 | 0.6053 | 0.8900 |
| No log | 12.0 | 96 | 1.0015 | 0.6970 | 0.5349 | 0.6053 | 0.8900 |
| No log | 13.0 | 104 | 1.0049 | 0.6970 | 0.5349 | 0.6053 | 0.8900 |
| No log | 14.0 | 112 | 1.0072 | 0.6970 | 0.5349 | 0.6053 | 0.8900 |
| No log | 15.0 | 120 | 1.0080 | 0.6970 | 0.5349 | 0.6053 | 0.8900 |
Framework versions
- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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Model tree for farizkuy/ner_fine_tuned
Base model
cahya/bert-base-indonesian-NER