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albert-base-v2-stsb

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metadata
language:
  - en
license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - glue
metrics:
  - spearmanr
model_index:
  - name: stsb
    results:
      - task:
          name: Text Classification
          type: text-classification
        dataset:
          name: GLUE STSB
          type: glue
          args: stsb
        metric:
          name: Spearmanr
          type: spearmanr
          value: 0.9050744778895732

stsb

This model is a fine-tuned version of albert-base-v2 on the GLUE STSB dataset. It achieves the following results on the evaluation set:

  • Loss: 0.3978
  • Pearson: 0.9090
  • Spearmanr: 0.9051
  • Combined Score: 0.9071

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: 3e-05
  • train_batch_size: 64
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 4.0

Training results

Framework versions

  • Transformers 4.9.0
  • Pytorch 1.9.0+cu102
  • Datasets 1.10.2
  • Tokenizers 0.10.3