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fnet-large-finetuned-stsb

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metadata
language:
  - en
license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - glue
metrics:
  - spearmanr
model-index:
  - name: fnet-large-finetuned-stsb
    results:
      - task:
          name: Text Classification
          type: text-classification
        dataset:
          name: GLUE STSB
          type: glue
          args: stsb
        metrics:
          - name: Spearmanr
            type: spearmanr
            value: 0.8532669137129205

fnet-large-finetuned-stsb

This model is a fine-tuned version of google/fnet-large on the GLUE STSB dataset. It achieves the following results on the evaluation set:

  • Loss: 0.6250
  • Pearson: 0.8554
  • Spearmanr: 0.8533
  • Combined Score: 0.8543

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: 4
  • 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
1.0727 1.0 1438 0.7718 0.8187 0.8240 0.8214
0.4619 2.0 2876 0.7704 0.8472 0.8500 0.8486
0.2401 3.0 4314 0.6250 0.8554 0.8533 0.8543

Framework versions

  • Transformers 4.11.0.dev0
  • Pytorch 1.9.0
  • Datasets 1.12.1
  • Tokenizers 0.10.3