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reformer-finetuned-big_patent-16384

This model is a fine-tuned version of robingeibel/reformer-finetuned-big_patent-wikipedia-arxiv-16384 on the big_patent dataset. It achieves the following results on the evaluation set:

  • Loss: 6.7382

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: 2.5e-06
  • 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: linear
  • num_epochs: 3.0
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
6.7398 1.0 53286 6.7243
6.7449 2.0 106572 6.7388
6.7534 3.0 159858 6.7382

Framework versions

  • Transformers 4.20.1
  • Pytorch 1.12.0+cu113
  • Datasets 2.3.2
  • Tokenizers 0.12.1
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Dataset used to train robingeibel/reformer-finetuned-big_patent-16384