metadata
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: KoELECTRA-small-v3-modu-ner
results: []
KoELECTRA-small-v3-modu-ner
This model is a fine-tuned version of monologg/koelectra-small-v3-discriminator on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1350
- Precision: 0.8068
- Recall: 0.8308
- F1: 0.8186
- Accuracy: 0.9598
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
- lr_scheduler_warmup_steps: 7575
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 3788 | 0.3021 | 0.6356 | 0.6380 | 0.6368 | 0.9223 |
| No log | 2.0 | 7576 | 0.1905 | 0.7397 | 0.7441 | 0.7419 | 0.9431 |
| No log | 3.0 | 11364 | 0.1612 | 0.7611 | 0.7897 | 0.7751 | 0.9505 |
| No log | 4.0 | 15152 | 0.1494 | 0.7855 | 0.7998 | 0.7926 | 0.9544 |
| No log | 5.0 | 18940 | 0.1427 | 0.7833 | 0.8194 | 0.8009 | 0.9559 |
| No log | 6.0 | 22728 | 0.1398 | 0.7912 | 0.8223 | 0.8064 | 0.9572 |
| No log | 7.0 | 26516 | 0.1361 | 0.8035 | 0.8240 | 0.8136 | 0.9587 |
| No log | 8.0 | 30304 | 0.1360 | 0.8047 | 0.8280 | 0.8162 | 0.9592 |
| No log | 9.0 | 34092 | 0.1346 | 0.8058 | 0.8299 | 0.8177 | 0.9596 |
| 0.2256 | 10.0 | 37880 | 0.1350 | 0.8068 | 0.8308 | 0.8186 | 0.9598 |
Framework versions
- Transformers 4.27.4
- Pytorch 1.13.1+cu116
- Datasets 2.11.0
- Tokenizers 0.13.2