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metadata
license: apache-2.0
base_model: distilbert-base-cased-distilled-squad
tags:
  - generated_from_keras_callback
model-index:
  - name: badokorach/distilbert-base-cased-distilled-agric-060124_1
    results: []

badokorach/distilbert-base-cased-distilled-agric-060124_1

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: 0.5748
  • Validation Loss: 0.0
  • Epoch: 14

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: {'inner_optimizer': {'module': 'transformers.optimization_tf', 'class_name': 'AdamWeightDecay', 'config': {'name': 'AdamWeightDecay', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 1e-05, 'decay_steps': 1725, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': 0.8999999761581421, 'beta_2': 0.9990000128746033, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.02}, 'registered_name': 'AdamWeightDecay'}, 'dynamic': True, 'initial_scale': 32768.0, 'dynamic_growth_steps': 2000}
  • training_precision: mixed_float16

Training results

Train Loss Validation Loss Epoch
2.8817 0.0 0
2.1643 0.0 1
1.8788 0.0 2
1.6446 0.0 3
1.4560 0.0 4
1.2835 0.0 5
1.1090 0.0 6
0.9769 0.0 7
0.8940 0.0 8
0.7700 0.0 9
0.7306 0.0 10
0.6732 0.0 11
0.6380 0.0 12
0.5905 0.0 13
0.5748 0.0 14

Framework versions

  • Transformers 4.35.2
  • TensorFlow 2.15.0
  • Datasets 2.16.1
  • Tokenizers 0.15.0