<!-- 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. -->
klue-roberta-large-klue-2016klp-crime-2-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: 0.4442
- Precision: 0.1538
- Recall: 0.1124
- F1: 0.1299
- Accuracy: 0.9005
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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 7 | 0.6609 | 0.0 | 0.0 | 0.0 | 0.8536 |
| No log | 2.0 | 14 | 0.4892 | 0.02 | 0.0112 | 0.0144 | 0.8817 |
| No log | 3.0 | 21 | 0.4442 | 0.1538 | 0.1124 | 0.1299 | 0.9005 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cpu
- Datasets 2.12.0
- Tokenizers 0.11.0
