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deberta-v3-base-squad2

This model is a fine-tuned version of deepset/deberta-v3-base-squad2 on the subjqa dataset. It achieves the following results on the evaluation set:

  • Loss: 2.2514

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: 1e-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: 18

Training results

Training Loss Epoch Step Validation Loss
2.8874 1.0 81 3.4517
2.4367 2.0 162 3.0723
2.1531 3.0 243 2.8363
2.0393 4.0 324 2.6726
1.9166 5.0 405 2.5791
1.8508 6.0 486 2.4969
1.8035 7.0 567 2.4384
1.7348 8.0 648 2.3925
1.6939 9.0 729 2.3677
1.6754 10.0 810 2.3405
1.6283 11.0 891 2.2984
1.6159 12.0 972 2.2854
1.5893 13.0 1053 2.2793
1.5636 14.0 1134 2.2749
1.5779 15.0 1215 2.2629
1.567 16.0 1296 2.2563
1.5401 17.0 1377 2.2508
1.5494 18.0 1458 2.2514

Framework versions

  • Transformers 4.26.1
  • Pytorch 1.13.1+cu116
  • Datasets 2.10.1
  • Tokenizers 0.13.2
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Dataset used to train itsamitkumar/deberta-v3-base-squad2