my_paircls_klue_nli_beomi_kcbert_base_model
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: 1.9825
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: 5e-05
- train_batch_size: 64
- eval_batch_size: 64
- 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 |
|---|---|---|---|
| No log | 1.0 | 391 | 1.4004 |
| 0.1479 | 2.0 | 782 | 1.2491 |
| 0.167 | 3.0 | 1173 | 1.3786 |
| 0.0803 | 4.0 | 1564 | 1.7437 |
| 0.0803 | 5.0 | 1955 | 1.9825 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3
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