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distilbert-base-uncased-finetuned-squad – AI Model by leabum | AlphaNeural AI
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leabum
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distilbert-base-uncased-finetuned-squad
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transformers
tf
tensorboard
distilbert
question-answering
generated_from_keras_callback
apache-2.0
endpoints_compatible
us
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leabum/distilbert-base-uncased-finetuned-squad
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: 5.5824
Train End Logits Accuracy: 0.0347
Train Start Logits Accuracy: 0.0694
Validation Loss: 5.8343
Validation End Logits Accuracy: 0.0
Validation Start Logits Accuracy: 0.0
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': 'Adam', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 18, '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
5.8427
0.0069
0.0069
5.8688
0.0
0.0
0
5.5824
0.0347
0.0694
5.8343
0.0
0.0
1
Framework versions
Transformers 4.21.1
TensorFlow 2.8.2
Datasets 2.4.0
Tokenizers 0.12.1
