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Pub-clustered – AI Model by recklessrecursion | AlphaNeural AI
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recklessrecursion
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Pub-clustered
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0
transformers
tf
distilbert
question-answering
generated_from_keras_callback
mit
endpoints_compatible
us
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recklessrecursion/Pub-clustered
This model is a fine-tuned version of
nandysoham16/16-clustered_aug
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 0.3288
Train End Logits Accuracy: 0.8819
Train Start Logits Accuracy: 0.9167
Validation Loss: 0.4898
Validation End Logits Accuracy: 0.9231
Validation Start Logits Accuracy: 0.8462
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': 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
0.3288
0.8819
0.9167
0.4898
0.9231
0.8462
0
Framework versions
Transformers 4.26.0
TensorFlow 2.9.2
Datasets 2.9.0
Tokenizers 0.13.2
