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update model card README.md
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metadata
tags:
  - generated_from_trainer
datasets:
  - klue
metrics:
  - pearsonr
model-index:
  - name: bert-base-finetuned-sts
    results:
      - task:
          name: Text Classification
          type: text-classification
        dataset:
          name: klue
          type: klue
          args: sts
        metrics:
          - name: Pearsonr
            type: pearsonr
            value: 0.9000373376026184

bert-base-finetuned-sts

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: 0.4582
  • Pearsonr: 0.9000

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: 64
  • eval_batch_size: 64
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 5

Training results

Training Loss Epoch Step Validation Loss Pearsonr
No log 1.0 183 0.5329 0.8827
No log 2.0 366 0.4549 0.8937
0.2316 3.0 549 0.4656 0.8959
0.2316 4.0 732 0.4651 0.8990
0.2316 5.0 915 0.4582 0.9000

Framework versions

  • Transformers 4.20.1
  • Pytorch 1.12.0+cu113
  • Datasets 2.3.2
  • Tokenizers 0.12.1