henryscheible / winobias_trainer_roberta-large_finetuned

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Model's Last Updated: January 17 2023
text-classification

Introduction of winobias_trainer_roberta-large_finetuned

Model Details of winobias_trainer_roberta-large_finetuned

winobias_trainer_roberta-large_finetuned

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

  • Loss: 0.6932
  • 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: 32
  • eval_batch_size: 32
  • 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 0.4 20 0.6966 0.5
No log 0.8 40 0.7068 0.5
No log 1.2 60 0.7124 0.5
No log 1.6 80 0.6931 0.5
No log 2.0 100 0.7072 0.5
No log 2.4 120 0.6989 0.5
No log 2.8 140 0.6956 0.5
No log 3.2 160 0.6967 0.5
No log 3.6 180 0.6939 0.5
No log 4.0 200 0.6933 0.5
No log 4.4 220 0.6934 0.5
No log 4.8 240 0.6932 0.5
Framework versions
  • Transformers 4.23.1
  • Pytorch 1.12.1
  • Datasets 2.6.1
  • Tokenizers 0.13.1

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