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recipe-roberta-s

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

  • Loss: 0.8870

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
1.3387 1.0 820 1.1529
1.187 2.0 1640 1.0643
1.1213 3.0 2460 1.0371
1.0859 4.0 3280 1.0000
1.0566 5.0 4100 0.9798
1.0338 6.0 4920 0.9637
1.0162 7.0 5740 0.9538
1.0003 8.0 6560 0.9332
0.9878 9.0 7380 0.9252
0.9767 10.0 8200 0.9189
0.9664 11.0 9020 0.9145
0.9627 12.0 9840 0.9065
0.9539 13.0 10660 0.9027
0.9461 14.0 11480 0.9029
0.9435 15.0 12300 0.8949
0.9404 16.0 13120 0.8924
0.9359 17.0 13940 0.8874
0.9307 18.0 14760 0.8842
0.9295 19.0 15580 0.8853
0.9263 20.0 16400 0.8870

Framework versions

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