<!-- 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. -->
KcELECTRA-small-v2022-finetuned-apeach
This model is a fine-tuned version of beomi/KcELECTRA-small-v2022 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5883
- Accuracy: 0.7247
- F1: 0.7109
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: 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: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.6767 | 1.0 | 124 | 0.6518 | 0.6220 | 0.5731 |
| 0.6006 | 2.0 | 248 | 0.5883 | 0.7247 | 0.7109 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.0
- Tokenizers 0.13.2
