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qamodel_distilbert

This model is a fine-tuned version of distilbert-base-cased-distilled-squad on the subjqa dataset. It achieves the following results on the evaluation set:

  • Loss: 1.7950

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
3.1563 1.0 81 2.6200
2.0431 2.0 162 2.1380
1.8432 3.0 243 2.0108
1.7601 4.0 324 1.9526
1.6957 5.0 405 1.9126
1.6477 6.0 486 1.8846
1.6173 7.0 567 1.8699
1.5799 8.0 648 1.8527
1.5749 9.0 729 1.8367
1.5422 10.0 810 1.8281
1.5353 11.0 891 1.8208
1.529 12.0 972 1.8116
1.5101 13.0 1053 1.8049
1.5005 14.0 1134 1.8018
1.4932 15.0 1215 1.8008
1.4895 16.0 1296 1.7976
1.4817 17.0 1377 1.7957
1.4695 18.0 1458 1.7950

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/qamodel_distilbert