metadata
library_name: transformers
license: apache-2.0
base_model: beomi/kcbert-base
tags:
- Lee
- 10_class
- text-classification
- generated_from_trainer
model-index:
- name: model_output
results: []
model_output
This model is a fine-tuned version of beomi/kcbert-base on the unsmile dataset. It achieves the following results on the evaluation set:
- Loss: 0.1299
- Lrap: 0.8792
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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Lrap |
|---|---|---|---|---|
| No log | 1.0 | 235 | 0.1468 | 0.8569 |
| No log | 2.0 | 470 | 0.1284 | 0.8734 |
| 0.1718 | 3.0 | 705 | 0.1229 | 0.8797 |
| 0.1718 | 4.0 | 940 | 0.1275 | 0.8801 |
| 0.0782 | 5.0 | 1175 | 0.1299 | 0.8792 |
Framework versions
- Transformers 4.48.2
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0