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klue-roberta-large-klue-2016klp-crime-1-ner
This model is a fine-tuned version of soddokayo/klue-roberta-large-klue-2016klp-ner on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.7156
- Precision: 0.4934
- Recall: 0.6222
- F1: 0.5504
- Accuracy: 0.7726
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 | 23 | 0.8927 | 0.6778 | 0.6778 | 0.6778 | 0.7223 |
| No log | 2.0 | 46 | 0.7156 | 0.4934 | 0.6222 | 0.5504 | 0.7726 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cpu
- Datasets 2.12.0
- Tokenizers 0.11.0
