metadata
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: korean_sentiment_analysis_kcelectra
results: []
korean_sentiment_analysis_kcelectra
This model is a fine-tuned version of beomi/KcELECTRA-base-v2022 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.9718
- Micro f1 score: 70.7183
- Auprc: 68.4562
- Accuracy: 0.7072
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: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 256
- 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 |
|---|---|---|---|---|---|---|
| 1.0543 | 1.0 | 391 | 0.9923 | 65.3061 | 49.6906 | 0.6531 |
| 0.8573 | 2.0 | 782 | 0.8229 | 69.9901 | 64.4071 | 0.6999 |
| 0.7217 | 3.0 | 1173 | 0.7961 | 71.0600 | 67.4640 | 0.7106 |
| 0.6305 | 4.0 | 1564 | 0.8163 | 71.1229 | 68.5191 | 0.7112 |
| 0.5294 | 5.0 | 1955 | 0.8205 | 71.0150 | 68.7334 | 0.7102 |
| 0.4689 | 6.0 | 2346 | 0.8716 | 71.1679 | 68.7751 | 0.7117 |
| 0.433 | 7.0 | 2737 | 0.9086 | 70.9880 | 68.3653 | 0.7099 |
| 0.419 | 8.0 | 3128 | 0.9290 | 70.6734 | 68.4606 | 0.7067 |
| 0.3766 | 9.0 | 3519 | 0.9619 | 70.6464 | 68.5132 | 0.7065 |
| 0.3395 | 10.0 | 3910 | 0.9718 | 70.7183 | 68.4562 | 0.7072 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.6.0
- Datasets 2.7.1
- Tokenizers 0.13.2