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question_and_answer – AI Model by Docty | AlphaNeural AI
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Docty
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question_and_answer
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transformers
tf
distilbert
question-answering
generated_from_keras_callback
distilbert/distilbert-base-cased-distilled-squad
finetune
apache-2.0
endpoints_compatible
us
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Docty/question_and_answer
This model is a fine-tuned version of
distilbert/distilbert-base-cased-distilled-squad
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 0.4095
Validation Loss: 0.6306
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': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 200, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_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
1.2112
0.6667
0
0.5043
0.6306
1
0.4089
0.6306
2
0.4124
0.6306
3
0.4204
0.6306
4
0.4269
0.6306
5
0.4218
0.6306
6
0.4031
0.6306
7
0.4117
0.6306
8
0.4095
0.6306
9
Framework versions
Transformers 4.47.0
TensorFlow 2.17.1
Datasets 3.2.0
Tokenizers 0.21.0
