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model – AI Model by kaisar-barlybay-sse | AlphaNeural AI
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kaisar-barlybay-sse
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model
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transformers
pytorch
tf
tensorboard
bert
multiple-choice
generated_from_keras_callback
apache-2.0
endpoints_compatible
us
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kaisar-barlybay-sse/model
This model is a fine-tuned version of
bert-base-multilingual-cased
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 1.3896
Validation Loss: 1.3863
Train Accuracy: 0.2874
Epoch: 5
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': 5e-05, 'decay_steps': 5000, '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
Validation Loss
Train Accuracy
Epoch
1.3923
1.3863
0.2315
0
1.3926
1.3863
0.2096
1
1.3889
1.3863
0.2575
2
1.3905
1.3863
0.2515
3
1.3895
1.3863
0.2794
4
1.3896
1.3863
0.2874
5
Framework versions
Transformers 4.28.1
TensorFlow 2.10.1
Datasets 2.11.0
Tokenizers 0.13.3
