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recipe-roberta-i

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

  • Loss: 0.9919

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: 256
  • eval_batch_size: 256
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 20
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
1.871 1.0 149 1.4670
1.528 2.0 298 1.3426
1.41 3.0 447 1.2636
1.3332 4.0 596 1.2029
1.2804 5.0 745 1.1646
1.2441 6.0 894 1.1351
1.21 7.0 1043 1.0898
1.182 8.0 1192 1.0725
1.1604 9.0 1341 1.0718
1.1402 10.0 1490 1.0529
1.1308 11.0 1639 1.0512
1.1191 12.0 1788 1.0245
1.0986 13.0 1937 1.0203
1.0919 14.0 2086 1.0158
1.084 15.0 2235 0.9930
1.0797 16.0 2384 0.9855
1.0697 17.0 2533 1.0061
1.0652 18.0 2682 0.9725
1.0658 19.0 2831 0.9861
1.0642 20.0 2980 0.9919

Framework versions

  • Transformers 4.19.0.dev0
  • Pytorch 1.11.0+cu102
  • Datasets 2.3.2
  • Tokenizers 0.12.1
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