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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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- f1 |
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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: 0.8756147003619346 |
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- name: F1 |
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type: f1 |
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value: 0.8416666666666667 |
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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: 0.4115 |
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- Pearsonr: 0.8756 |
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- F1: 0.8417 |
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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: 5e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 128 |
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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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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 4 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Pearsonr | F1 | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:| |
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| 0.7836 | 1.0 | 365 | 0.5507 | 0.8435 | 0.8121 | |
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| 0.1564 | 2.0 | 730 | 0.4396 | 0.8495 | 0.8136 | |
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| 0.0989 | 3.0 | 1095 | 0.4115 | 0.8756 | 0.8417 | |
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| 0.0682 | 4.0 | 1460 | 0.4466 | 0.8746 | 0.8449 | |
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### Framework versions |
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- Transformers 4.10.2 |
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- Pytorch 1.7.1 |
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- Datasets 1.12.1 |
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- Tokenizers 0.10.3 |
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