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distilroberta_science_multiple_choice

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

  • Loss: 1.1923
  • Accuracy: 0.45

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: 5e-06
  • 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: linear
  • num_epochs: 100

Training results

Training Loss Epoch Step Validation Loss Accuracy
1.2589 1.0 12 1.1957 0.55
1.2856 2.0 24 1.1913 0.45
1.2456 3.0 36 1.1908 0.5
1.1753 4.0 48 1.1888 0.45
1.0941 5.0 60 1.1850 0.45
1.0795 6.0 72 1.1764 0.45
1.0242 7.0 84 1.1655 0.45
0.9576 8.0 96 1.1558 0.45
0.9271 9.0 108 1.1604 0.45
0.9047 10.0 120 1.1748 0.45
0.9025 11.0 132 1.1783 0.45
0.782 12.0 144 1.1787 0.45
0.8003 13.0 156 1.1923 0.45

Framework versions

  • Transformers 4.31.0
  • Pytorch 2.0.1+cu117
  • Datasets 2.14.4
  • Tokenizers 0.13.3
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