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: 0.1382
- Lrap: 0.8801
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 | 0.1342 | 0.8665 |
| 0.1913 | 2.0 | 938 | 0.1260 | 0.8703 |
| 0.1051 | 3.0 | 1407 | 0.1237 | 0.8843 |
| 0.0708 | 4.0 | 1876 | 0.1332 | 0.8799 |
| 0.0481 | 5.0 | 2345 | 0.1382 | 0.8801 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1
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Base model
beomi/kcbert-base