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Electra_QCA_Custom – AI Model by Kiran2004 | AlphaNeural AI
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Kiran2004
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Electra_QCA_Custom
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transformers
tf
electra
question-answering
generated_from_keras_callback
deepset/electra-base-squad2
finetune
cc-by-4.0
endpoints_compatible
us
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Kiran2004/Electra_QCA_Custom
This model is a fine-tuned version of
deepset/electra-base-squad2
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 0.0010
Validation Loss: 0.0001
Epoch: 3
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': 1e-05, 'decay_steps': 100, '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
1.8202
0.0015
0
0.0166
0.0002
1
0.0027
0.0001
2
0.0010
0.0001
3
Framework versions
Transformers 4.40.0
TensorFlow 2.15.0
Datasets 2.19.0
Tokenizers 0.19.1
