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shopee-ner
This model is a fine-tuned version of cahya/xlm-roberta-base-indonesian-NER on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0924
- Precision: 0.7557
- Recall: 0.8382
- F1: 0.7948
- Accuracy: 0.9696
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: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 120 | 0.1103 | 0.7127 | 0.8130 | 0.7596 | 0.9641 |
| No log | 2.0 | 240 | 0.0924 | 0.7557 | 0.8382 | 0.7948 | 0.9696 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
