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qa_bert-base-multilingual-cased-finetuned-squad

This model is a fine-tuned version of salti/bert-base-multilingual-cased-finetuned-squad on the subjqa dataset. It achieves the following results on the evaluation set:

  • Loss: 1.8327

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: 20

Training results

Training Loss Epoch Step Validation Loss
2.6495 1.0 81 2.3399
1.8855 2.0 162 2.0887
1.7301 3.0 243 1.9716
1.668 4.0 324 1.9215
1.6121 5.0 405 1.8922
1.5587 6.0 486 1.8767
1.5236 7.0 567 1.8614
1.4978 8.0 648 1.8464
1.4769 9.0 729 1.8434
1.4612 10.0 810 1.8364
1.4215 11.0 891 1.8357
1.4132 12.0 972 1.8330
1.394 13.0 1053 1.8325
1.3798 14.0 1134 1.8348
1.3786 15.0 1215 1.8326
1.3668 16.0 1296 1.8339
1.3545 17.0 1377 1.8338
1.3581 18.0 1458 1.8323
1.3449 19.0 1539 1.8324
1.3443 20.0 1620 1.8327

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/qa_bert-base-multilingual-cased-finetuned-squad