results
This model is a fine-tuned version of beomi/kcbert-base on the None dataset.
Model description
This model is fine-tuned for the purpose of Korean sentence emotion analysis. The dataset used was a 'ํ๊ตญ์ด ๊ฐ์ ์ ๋ณด๊ฐ ํฌํจ๋ ๋จ๋ฐ์ฑ ๋ํ ๋ฐ์ดํฐ์ ' from AI Hub.
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: 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: 3.0
Training results
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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Model tree for J1N2/kcbert-base-finetune-emotion-classification
Base model
beomi/kcbert-base