kcbert-base-finetuned-squad
This model is a fine-tuned version of beomi/kcbert-base on the klue dataset. It achieves the following results on the evaluation set:
- Loss: 1.6736
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.2221 | 1.0 | 4245 | 1.2784 |
| 0.7673 | 2.0 | 8490 | 1.4099 |
| 0.4479 | 3.0 | 12735 | 1.6736 |
Framework versions
- Transformers 4.12.5
- Pytorch 1.10.0+cu111
- Datasets 1.15.1
- Tokenizers 0.10.3
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