<!-- 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. -->
korean_sentiment_analysis_dataset3
This model is a fine-tuned version of klue/roberta-large on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.7614
- Micro f1 score: 74.9024
- Auprc: 75.3897
- Accuracy: 0.7490
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: 1e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Micro f1 score | Auprc | Accuracy |
|---|---|---|---|---|---|---|
| 0.8814 | 1.0 | 5080 | 0.7160 | 74.0798 | 78.1155 | 0.7408 |
| 0.5153 | 2.0 | 10160 | 0.6638 | 76.1573 | 80.2492 | 0.7616 |
| 0.6463 | 3.0 | 15240 | 0.6815 | 76.2897 | 80.6829 | 0.7629 |
| 0.4697 | 4.0 | 20320 | 0.7243 | 76.0666 | 80.1682 | 0.7607 |
| 0.2043 | 5.0 | 25400 | 0.9200 | 75.4810 | 79.2632 | 0.7548 |
| 0.2452 | 6.0 | 30480 | 1.0875 | 74.9582 | 78.5166 | 0.7496 |
| 0.1481 | 7.0 | 35560 | 1.3625 | 74.7769 | 76.5613 | 0.7478 |
| 0.1974 | 8.0 | 40640 | 1.5593 | 75.0906 | 76.3100 | 0.7509 |
| 0.1658 | 9.0 | 45720 | 1.6836 | 74.9651 | 75.6953 | 0.7497 |
| 0.1392 | 10.0 | 50800 | 1.7614 | 74.9024 | 75.3897 | 0.7490 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.6.0
- Datasets 2.7.1
- Tokenizers 0.13.2
