metadata
license: apache-2.0
base_model: beomi/kcbert-base
tags:
- CMK
- 10 class
- multi_labels
- 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_data dataset. It achieves the following results on the evaluation set:
- Loss: 0.1553
- Lrap: 0.8749
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
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Lrap |
|---|---|---|---|---|
| No log | 1.0 | 469 | 0.1317 | 0.8677 |
| 0.0901 | 2.0 | 938 | 0.1340 | 0.8714 |
| 0.0684 | 3.0 | 1407 | 0.1413 | 0.8797 |
| 0.0429 | 4.0 | 1876 | 0.1521 | 0.8757 |
| 0.0277 | 5.0 | 2345 | 0.1553 | 0.8749 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1