robertuito-base-cased

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.3006
  • Accuracy: 0.9738

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: 20

Training results

Training Loss Epoch Step Validation Loss Accuracy
0.2557 1.0 3611 0.2650 0.9383
0.1543 2.0 7222 0.1762 0.9632
0.0792 3.0 10833 0.1959 0.9601
0.0565 4.0 14444 0.2106 0.9670
0.0507 5.0 18055 0.2597 0.9664
0.0297 6.0 21666 0.2761 0.9688
0.0531 7.0 25277 0.2336 0.9514
0.166 8.0 28888 0.2249 0.9688
0.0112 9.0 32499 0.2416 0.9720
0.0129 10.0 36110 0.2840 0.9713
0.0041 11.0 39721 0.2673 0.9695
0.0023 12.0 43332 0.3371 0.9664
0.0022 13.0 46943 0.3109 0.9688
0.0023 14.0 50554 0.2464 0.9757
0.0042 15.0 54165 0.3368 0.9688
0.001 16.0 57776 0.2903 0.9726
0.001 17.0 61387 0.3165 0.9707
0.0006 18.0 64998 0.2619 0.9769
0.0 19.0 68609 0.3053 0.9732
0.0 20.0 72220 0.3001 0.9745

Framework versions

  • Transformers 4.25.1
  • Pytorch 1.13.0+cu116
  • Datasets 2.8.0
  • Tokenizers 0.13.2
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