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Training in progress epoch 8
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metadata
license: apache-2.0
tags:
  - generated_from_keras_callback
model-index:
  - name: nandysoham/Gregorian_calendar-theme-finetuned-overfinetuned
    results: []

nandysoham/Gregorian_calendar-theme-finetuned-overfinetuned

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

  • Train Loss: 0.1838
  • Train End Logits Accuracy: 0.9500
  • Train Start Logits Accuracy: 0.9688
  • Validation Loss: 2.0017
  • Validation End Logits Accuracy: 0.5238
  • Validation Start Logits Accuracy: 0.4762
  • Epoch: 8

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': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 100, '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}
  • training_precision: float32

Training results

Train Loss Train End Logits Accuracy Train Start Logits Accuracy Validation Loss Validation End Logits Accuracy Validation Start Logits Accuracy Epoch
2.2861 0.3688 0.4062 1.6038 0.5952 0.5714 0
1.2774 0.5938 0.5938 1.4240 0.5952 0.5714 1
0.8752 0.7000 0.7375 1.4402 0.5952 0.5476 2
0.5245 0.8250 0.8438 1.5027 0.6429 0.5952 3
0.4132 0.8313 0.8938 1.6252 0.5714 0.5 4
0.3140 0.9000 0.9062 1.7524 0.5476 0.4762 5
0.2534 0.9688 0.9312 1.8646 0.5238 0.4762 6
0.1999 0.9500 0.9563 1.9513 0.5238 0.4762 7
0.1838 0.9500 0.9688 2.0017 0.5238 0.4762 8

Framework versions

  • Transformers 4.25.1
  • TensorFlow 2.9.2
  • Datasets 2.8.0
  • Tokenizers 0.13.2