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distilBERT_with_preprocessing – AI Model by LovenOO | AlphaNeural AI
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LovenOO
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distilBERT_with_preprocessing
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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/distilBERT_with_preprocessing
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: 0.2890
Validation Loss: 0.6104
Train Accuracy: 0.8264
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': 2545, '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
0.6308
0.6631
0.8136
0
0.4767
0.6222
0.8264
1
0.3731
0.6148
0.8308
2
0.3117
0.6104
0.8264
3
0.2875
0.6104
0.8264
4
0.2890
0.6104
0.8264
5
Framework versions
Transformers 4.24.0
TensorFlow 2.13.0
Datasets 2.14.2
Tokenizers 0.11.0
