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bert-finetuned-for-three-epoch_for_al – AI Model by HASAN55 | AlphaNeural AI
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HASAN55
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bert-finetuned-for-three-epoch_for_al
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0
transformers
tf
albert
question-answering
generated_from_keras_callback
apache-2.0
endpoints_compatible
us
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HASAN55/bert-finetuned-for-three-epoch_for_al
This model is a fine-tuned version of
albert-base-v2
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 0.6861
Train End Logits Accuracy: 0.8048
Train Start Logits Accuracy: 0.7667
Validation Loss: 0.0
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': 'AdamWeightDecay', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 1e-05, 'decay_steps': 18735, '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, 'weight_decay_rate': 0.001}
training_precision: mixed_float16
Training results
Train Loss
Train End Logits Accuracy
Train Start Logits Accuracy
Validation Loss
Validation End Logits Accuracy
Validation Start Logits Accuracy
Epoch
0.9805
0.7370
0.6989
0.0
0.0
0.0
0
0.6861
0.8048
0.7667
0.0
0.0
0.0
1
Framework versions
Transformers 4.27.4
TensorFlow 2.12.0
Datasets 2.11.0
Tokenizers 0.13.3
