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distilbert-base-uncased-finetuned-squad_v2 – AI Model by nandysoham | AlphaNeural AI
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nandysoham
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distilbert-base-uncased-finetuned-squad_v2
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transformers
tf
tensorboard
distilbert
question-answering
generated_from_keras_callback
apache-2.0
endpoints_compatible
us
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nandysoham/distilbert-base-uncased-finetuned-squad_v2
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: 1.4997
Train End Logits Accuracy: 0.5598
Train Start Logits Accuracy: 0.5433
Validation Loss: 1.2410
Validation End Logits Accuracy: 0.6065
Validation Start Logits Accuracy: 0.5982
Epoch: 0
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': 16468, '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
1.4997
0.5598
0.5433
1.2410
0.6065
0.5982
0
Framework versions
Transformers 4.20.1
TensorFlow 2.6.4
Datasets 2.1.0
Tokenizers 0.12.1
