beomi / distilbert-base-uncased-finetuned-cola

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Total runs: 14
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7-day runs: 1
30-day runs: -4
Model's Last Updated: September 14 2022
text-classification

Introduction of distilbert-base-uncased-finetuned-cola

Model Details of distilbert-base-uncased-finetuned-cola

distilbert-base-uncased-finetuned-cola

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

  • Loss: 0.7525
  • Matthews Correlation: 0.5553
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: 16
  • eval_batch_size: 16
  • 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 Matthews Correlation
0.523 1.0 535 0.5024 0.4160
0.3437 2.0 1070 0.5450 0.4965
0.2326 3.0 1605 0.6305 0.5189
0.177 4.0 2140 0.7525 0.5553
0.1354 5.0 2675 0.8630 0.5291
Framework versions
  • Transformers 4.11.3
  • Pytorch 1.9.0+cu111
  • Datasets 1.13.3
  • Tokenizers 0.10.3

Runs of beomi distilbert-base-uncased-finetuned-cola on huggingface.co

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More Information About distilbert-base-uncased-finetuned-cola huggingface.co Model

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distilbert-base-uncased-finetuned-cola install

distilbert-base-uncased-finetuned-cola is an open source model from GitHub that offers a free installation service, and any user can find distilbert-base-uncased-finetuned-cola on GitHub to install. At the same time, huggingface.co provides the effect of distilbert-base-uncased-finetuned-cola install, users can directly use distilbert-base-uncased-finetuned-cola installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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