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my_awesome_qa_model

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Transformers
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distilbert
generated_from_keras_callback
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my_awesome_qa_model / README.md
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metadata
license: apache-2.0
base_model: distilbert-base-uncased
tags:
  - generated_from_keras_callback
model-index:
  - name: PRAJWAL23/my_awesome_qa_model
    results: []

PRAJWAL23/my_awesome_qa_model

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

  • Train Loss: 1.7361
  • Validation Loss: 2.1199
  • Epoch: 9

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', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 500, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
  • training_precision: float32

Training results

Train Loss Validation Loss Epoch
3.4974 2.4438 0
1.9872 2.1199 1
1.7273 2.1199 2
1.7258 2.1199 3
1.7417 2.1199 4
1.7353 2.1199 5
1.7250 2.1199 6
1.7317 2.1199 7
1.7336 2.1199 8
1.7361 2.1199 9

Framework versions

  • Transformers 4.31.0
  • TensorFlow 2.12.0
  • Datasets 2.14.3
  • Tokenizers 0.13.3