henryscheible / winobias_trainer_v2_roberta-base_classifieronly

huggingface.co
Total runs: 7
24-hour runs: 0
7-day runs: 0
30-day runs: 3
Model's Last Updated: January 15 2023
text-classification

Introduction of winobias_trainer_v2_roberta-base_classifieronly

Model Details of winobias_trainer_v2_roberta-base_classifieronly

winobias_trainer_v2_roberta-base_classifieronly

This model is a fine-tuned version of roberta-base on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.6935
  • Accuracy: 0.5
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: 5e-05
  • train_batch_size: 128
  • eval_batch_size: 128
  • 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 Accuracy
No log 1.54 20 0.6934 0.5
No log 3.08 40 0.6932 0.4994
No log 4.62 60 0.6935 0.5
Framework versions
  • Transformers 4.23.1
  • Pytorch 1.12.1
  • Datasets 2.6.1
  • Tokenizers 0.13.1

Runs of henryscheible winobias_trainer_v2_roberta-base_classifieronly on huggingface.co

7
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7-day runs
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30-day runs

More Information About winobias_trainer_v2_roberta-base_classifieronly huggingface.co Model

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winobias_trainer_v2_roberta-base_classifieronly install

winobias_trainer_v2_roberta-base_classifieronly is an open source model from GitHub that offers a free installation service, and any user can find winobias_trainer_v2_roberta-base_classifieronly on GitHub to install. At the same time, huggingface.co provides the effect of winobias_trainer_v2_roberta-base_classifieronly install, users can directly use winobias_trainer_v2_roberta-base_classifieronly installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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