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my_awesome_model – AI Model by LovenOO | AlphaNeural AI
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LovenOO
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my_awesome_model
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transformers
tf
distilbert
text-classification
generated_from_keras_callback
apache-2.0
autotrain_compatible
endpoints_compatible
us
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LovenOO/my_awesome_model
This model is a fine-tuned version of
distilbert-base-uncased
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 0.2264
Validation Loss: 0.4221
Train Accuracy: 0.8707
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': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 2890, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_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
1.1991
0.5737
0.8610
0
0.5278
0.4642
0.8766
1
0.3837
0.4401
0.8785
2
0.3012
0.4315
0.8737
3
0.2506
0.4221
0.8707
4
0.2264
0.4221
0.8707
5
Framework versions
Transformers 4.24.0
TensorFlow 2.13.0
Datasets 2.14.2
Tokenizers 0.11.0
