bert-base-cased-finetuned-squad_v2-bs_32

This model is a fine-tuned version of bert-base-cased on the squad_v2 dataset. It achieves the following results on the evaluation set:

  • Loss: 1.5835

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: 32
  • eval_batch_size: 32
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 5

Training results

Training Loss Epoch Step Validation Loss
1.0646 1.0 4128 1.1130
0.8143 2.0 8256 1.1558
0.6028 3.0 12384 1.3857
0.47 4.0 16512 1.4318
0.3676 5.0 20640 1.5835

Framework versions

  • Transformers 4.34.0
  • Pytorch 1.12.1
  • Datasets 2.14.5
  • Tokenizers 0.14.1
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