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Librarian Bot: Add base_model information to model (#2)
dc06d12
metadata
language:
  - en
license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - glue
metrics:
  - spearmanr
base_model: bert-base-uncased
model-index:
  - name: bert-base-uncased-stsb
    results:
      - task:
          type: text-classification
          name: Text Classification
        dataset:
          name: GLUE STSB
          type: glue
          args: stsb
        metrics:
          - type: spearmanr
            value: 0.8843169724798454
            name: Spearmanr

bert-base-uncased-stsb

This model is a fine-tuned version of bert-base-uncased on the GLUE STSB dataset. It achieves the following results on the evaluation set:

  • Loss: 0.5144
  • Pearson: 0.8875
  • Spearmanr: 0.8843
  • Combined Score: 0.8859

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: 32
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3.0

Training results

Training Loss Epoch Step Validation Loss Pearson Spearmanr Combined Score
No log 1.0 180 0.5179 0.8806 0.8735 0.8771
No log 2.0 360 0.5145 0.8850 0.8820 0.8835
0.7868 3.0 540 0.5144 0.8875 0.8843 0.8859

Framework versions

  • Transformers 4.20.0.dev0
  • Pytorch 1.11.0+cu113
  • Datasets 2.1.0
  • Tokenizers 0.12.1