transformers-qa

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

  • Train Loss: 0.9300
  • Validation Loss: 1.1437
  • Epoch: 1

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:

  • optimizer: {'name': 'Adam', 'learning_rate': 5e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
  • training_precision: mixed_float16

Training results

Train Loss Validation Loss Epoch
1.5145 1.1500 0
0.9300 1.1437 1

Framework versions

  • Transformers 4.16.0.dev0
  • TensorFlow 2.6.0
  • Datasets 1.16.2.dev0
  • Tokenizers 0.10.3
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Evaluation results