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--- |
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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 |
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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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args: sts |
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metrics: |
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- name: Pearsonr |
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type: pearsonr |
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value: 0.9000373376026184 |
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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 |
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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: 0.4582 |
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- Pearsonr: 0.9000 |
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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: 64 |
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- eval_batch_size: 64 |
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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: 5 |
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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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| No log | 1.0 | 183 | 0.5329 | 0.8827 | |
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| No log | 2.0 | 366 | 0.4549 | 0.8937 | |
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| 0.2316 | 3.0 | 549 | 0.4656 | 0.8959 | |
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| 0.2316 | 4.0 | 732 | 0.4651 | 0.8990 | |
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| 0.2316 | 5.0 | 915 | 0.4582 | 0.9000 | |
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### Framework versions |
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- Transformers 4.20.1 |
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- Pytorch 1.12.0+cu113 |
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- Datasets 2.3.2 |
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- Tokenizers 0.12.1 |
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