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roberta-base-culinary

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

  • Loss: 1.1032

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: linear
  • num_epochs: 16

Training results

Training Loss Epoch Step Validation Loss
1.5135 1.0 39823 1.4635
1.454 2.0 79646 1.3753
1.3924 3.0 119469 1.3375
1.3379 4.0 159292 1.2886
1.2969 5.0 199115 1.2595
1.2495 6.0 238938 nan
1.1768 7.0 278761 1.2283
1.1687 8.0 318584 1.2109
1.2148 9.0 358407 1.1671
1.133 10.0 398230 1.1721
1.0882 11.0 438053 1.1624
1.0749 12.0 477876 1.1321
1.092 13.0 517699 nan
1.0594 14.0 557522 1.1186
1.0292 15.0 597345 1.1074
0.9973 16.0 637168 1.1032

Framework versions

  • Transformers 4.22.1
  • Pytorch 1.12.1+cu113
  • Datasets 2.4.0
  • Tokenizers 0.12.1
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