metadata
base_model: vitus9988/klue-roberta-small-ner-identified
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: klue-roberta-small-ner-identified
results: []
klue-roberta-small-ner-identified
This model is a fine-tuned version of vitus9988/klue-roberta-small-ner-identified on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1304
- Precision: 0.9222
- Recall: 0.9520
- F1: 0.9369
- Accuracy: 0.9790
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: 5e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 4 | 0.8023 | 0.1377 | 0.1231 | 0.1300 | 0.9178 |
| No log | 2.0 | 8 | 0.4197 | 0.5419 | 0.5580 | 0.5498 | 0.9431 |
| No log | 3.0 | 12 | 0.2760 | 0.6764 | 0.7146 | 0.6950 | 0.9564 |
| No log | 4.0 | 16 | 0.2062 | 0.7835 | 0.8544 | 0.8174 | 0.9617 |
| No log | 5.0 | 20 | 0.1685 | 0.8299 | 0.8946 | 0.8610 | 0.9711 |
| No log | 6.0 | 24 | 0.1470 | 0.8854 | 0.9295 | 0.9069 | 0.9758 |
| No log | 7.0 | 28 | 0.1350 | 0.9138 | 0.9460 | 0.9297 | 0.9778 |
| No log | 8.0 | 32 | 0.1304 | 0.9222 | 0.9520 | 0.9369 | 0.9790 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.3.0+cu118
- Datasets 2.19.1
- Tokenizers 0.19.1