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roberta-small-fever

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:

  • eval_loss: 0.6096
  • eval_p: 0.8179
  • eval_r: 0.8110
  • eval_f1: 0.8104
  • eval_runtime: 36.258
  • eval_samples_per_second: 518.644
  • eval_steps_per_second: 64.841
  • step: 0

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: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • num_epochs: 4

Framework versions

  • Transformers 4.21.1
  • Pytorch 1.12.1
  • Datasets 2.6.1
  • Tokenizers 0.12.1
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Dataset used to train pepa/roberta-small-fever