<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->
bert-base-finetuned-sts-v3
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: 0.3716
- Pearsonr: 0.9172
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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Pearsonr |
|---|---|---|---|---|
| 0.2265 | 1.0 | 2917 | 0.4886 | 0.8933 |
| 0.1504 | 2.0 | 5834 | 0.4374 | 0.8948 |
| 0.0982 | 3.0 | 8751 | 0.5246 | 0.8957 |
| 0.0832 | 4.0 | 11668 | 0.4387 | 0.9006 |
| 0.0751 | 5.0 | 14585 | 0.4036 | 0.9049 |
| 0.0564 | 6.0 | 17502 | 0.3828 | 0.9133 |
| 0.0488 | 7.0 | 20419 | 0.3716 | 0.9172 |
| 0.0384 | 8.0 | 23336 | 0.4060 | 0.9093 |
| 0.0365 | 9.0 | 26253 | 0.3939 | 0.9065 |
| 0.0319 | 10.0 | 29170 | 0.3953 | 0.9106 |
| 0.0262 | 11.0 | 32087 | 0.3885 | 0.9109 |
| 0.0219 | 12.0 | 35004 | 0.3724 | 0.9154 |
| 0.0188 | 13.0 | 37921 | 0.3827 | 0.9111 |
| 0.0175 | 14.0 | 40838 | 0.4103 | 0.9099 |
| 0.0144 | 15.0 | 43755 | 0.3768 | 0.9152 |
| 0.0132 | 16.0 | 46672 | 0.3868 | 0.9151 |
| 0.0125 | 17.0 | 49589 | 0.3981 | 0.9103 |
| 0.0106 | 18.0 | 52506 | 0.3808 | 0.9138 |
| 0.0095 | 19.0 | 55423 | 0.3904 | 0.9128 |
| 0.0089 | 20.0 | 58340 | 0.3885 | 0.9137 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.13.0
- Datasets 2.7.1
- Tokenizers 0.13.2
