metadata
license: mit
base_model: beomi/KcELECTRA-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: hate
results: []
hate
This model is a fine-tuned version of beomi/KcELECTRA-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3904
- Accuracy: 0.8278
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 0.2
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.4578 | 0.2002 | 734 | 0.3904 | 0.8278 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1