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evegarcianz
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bert-finetuned-squad

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Transformers
TensorFlow
distilbert
generated_from_keras_callback
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bert-finetuned-squad / README.md
edgar garcia aguilar
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metadata
license: apache-2.0
tags:
  - generated_from_keras_callback
model-index:
  - name: evegarcianz/bert-finetuned-squad
    results: []

evegarcianz/bert-finetuned-squad

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

  • Train Loss: 0.4637
  • 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': 'AdamWeightDecay', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 33276, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
  • training_precision: mixed_float16

Training results

Train Loss Epoch
0.6630 0
0.4637 1

Framework versions

  • Transformers 4.21.0
  • TensorFlow 2.8.1
  • Datasets 2.4.0
  • Tokenizers 0.12.1