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my_awesome_model – AI Model by vipintom | AlphaNeural AI
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vipintom
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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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vipintom/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: 0.0683
Validation Loss: 0.2223
Train Accuracy: 0.9294
Epoch: 2
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': 2e-05, 'decay_steps': 7810, '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
0.2515
0.1947
0.9256
0
0.1354
0.2041
0.9253
1
0.0683
0.2223
0.9294
2
Framework versions
Transformers 4.24.0
TensorFlow 2.9.2
Datasets 2.7.1
Tokenizers 0.13.2
