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my_exercice_mrpc – AI Model by krm | AlphaNeural AI
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krm
/
my_exercice_mrpc
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transformers
tf
bert
text-classification
generated_from_keras_callback
apache-2.0
autotrain_compatible
endpoints_compatible
us
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krm/my_exercice_mrpc
This model is a fine-tuned version of
bert-base-uncased
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 0.6942
Train Accuracy: 0.6200
Validation Loss: 0.6486
Validation Accuracy: 0.6838
Epoch: 2
Model description
Ce modèle n'est pas à utiliser. Il s'agit d'un petit essai.
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': 0.001, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
training_precision: float32
Training results
Train Loss
Train Accuracy
Validation Loss
Validation Accuracy
Epoch
0.6860
0.6314
0.7727
0.6838
0
0.6862
0.6347
0.6326
0.6838
1
0.6942
0.6200
0.6486
0.6838
2
Framework versions
Transformers 4.22.2
TensorFlow 2.8.2
Datasets 2.5.1
Tokenizers 0.12.1
