sts_klue_bert_base_ep5_ckpt
This model is a fine-tuned version of klue/bert-base on the klue dataset. It achieves the following results on the evaluation set:
- Loss: 0.4295
- Mse: 0.4295
- Mae: 0.4938
- R2: 0.8033
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
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Mse | Mae | R2 |
|---|---|---|---|---|---|---|
| 0.8186 | 1.0 | 183 | 0.5172 | 0.5172 | 0.5566 | 0.7631 |
| 0.1529 | 2.0 | 366 | 0.4698 | 0.4698 | 0.5155 | 0.7849 |
| 0.0967 | 3.0 | 549 | 0.4525 | 0.4525 | 0.4859 | 0.7928 |
| 0.0699 | 4.0 | 732 | 0.4232 | 0.4232 | 0.4839 | 0.8062 |
| 0.0537 | 5.0 | 915 | 0.4295 | 0.4295 | 0.4938 | 0.8033 |
Framework versions
- Transformers 4.33.1
- Pytorch 2.0.1+cu117
- Datasets 2.13.0
- Tokenizers 0.13.3
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Base model
klue/bert-base