henryscheible / crowspairs_trainer_roberta-large_finetuned

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

Introduction of crowspairs_trainer_roberta-large_finetuned

Model Details of crowspairs_trainer_roberta-large_finetuned

crowspairs_trainer_roberta-large_finetuned

This model is a fine-tuned version of roberta-large on the crows_pairs dataset. It achieves the following results on the evaluation set:

  • Loss: 0.6933
  • Accuracy: 0.4967
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 0.53 20 0.6942 0.5033
No log 1.05 40 0.6943 0.4967
No log 1.58 60 0.7100 0.4967
No log 2.11 80 0.6937 0.4967
No log 2.63 100 0.6937 0.4967
No log 3.16 120 0.6936 0.4967
No log 3.68 140 0.6931 0.5033
No log 4.21 160 0.6938 0.4967
No log 4.74 180 0.6933 0.4967
Framework versions
  • Transformers 4.23.1
  • Pytorch 1.12.1
  • Datasets 2.6.1
  • Tokenizers 0.13.1

Runs of henryscheible crowspairs_trainer_roberta-large_finetuned on huggingface.co

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

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