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--- |
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license: cc-by-sa-4.0 |
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tags: |
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- generated_from_trainer |
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datasets: |
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- klue |
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metrics: |
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- pearsonr |
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model-index: |
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- name: bert-base-finetuned-sts-v3 |
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results: |
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- task: |
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name: Text Classification |
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type: text-classification |
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dataset: |
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name: klue |
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type: klue |
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config: sts |
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split: train |
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args: sts |
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metrics: |
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- name: Pearsonr |
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type: pearsonr |
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value: 0.9172194083849969 |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# bert-base-finetuned-sts-v3 |
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This model is a fine-tuned version of [klue/bert-base](https://huggingface.co/klue/bert-base) on the klue dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3716 |
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- Pearsonr: 0.9172 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 2e-05 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 20 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Pearsonr | |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:| |
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| 0.2265 | 1.0 | 2917 | 0.4886 | 0.8933 | |
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| 0.1504 | 2.0 | 5834 | 0.4374 | 0.8948 | |
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| 0.0982 | 3.0 | 8751 | 0.5246 | 0.8957 | |
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| 0.0832 | 4.0 | 11668 | 0.4387 | 0.9006 | |
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| 0.0751 | 5.0 | 14585 | 0.4036 | 0.9049 | |
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| 0.0564 | 6.0 | 17502 | 0.3828 | 0.9133 | |
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| 0.0488 | 7.0 | 20419 | 0.3716 | 0.9172 | |
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| 0.0384 | 8.0 | 23336 | 0.4060 | 0.9093 | |
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| 0.0365 | 9.0 | 26253 | 0.3939 | 0.9065 | |
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| 0.0319 | 10.0 | 29170 | 0.3953 | 0.9106 | |
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| 0.0262 | 11.0 | 32087 | 0.3885 | 0.9109 | |
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| 0.0219 | 12.0 | 35004 | 0.3724 | 0.9154 | |
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| 0.0188 | 13.0 | 37921 | 0.3827 | 0.9111 | |
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| 0.0175 | 14.0 | 40838 | 0.4103 | 0.9099 | |
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| 0.0144 | 15.0 | 43755 | 0.3768 | 0.9152 | |
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| 0.0132 | 16.0 | 46672 | 0.3868 | 0.9151 | |
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| 0.0125 | 17.0 | 49589 | 0.3981 | 0.9103 | |
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| 0.0106 | 18.0 | 52506 | 0.3808 | 0.9138 | |
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| 0.0095 | 19.0 | 55423 | 0.3904 | 0.9128 | |
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| 0.0089 | 20.0 | 58340 | 0.3885 | 0.9137 | |
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### Framework versions |
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- Transformers 4.25.1 |
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- Pytorch 1.13.0 |
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- Datasets 2.7.1 |
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- Tokenizers 0.13.2 |
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