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bigbird-roberta-base-snli

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

  • eval_loss: 0.2738
  • eval_p: 0.9034
  • eval_r: 0.9033
  • eval_f1: 0.9033
  • eval_runtime: 10.9262
  • eval_samples_per_second: 899.126
  • eval_steps_per_second: 56.195
  • 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: 16
  • eval_batch_size: 16
  • 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/bigbird-roberta-base-snli