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distilbert-base-uncased-finetuned-cola – AI Model by andreiliphdpr | AlphaNeural AI
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andreiliphdpr
/
distilbert-base-uncased-finetuned-cola
like
0
transformers
tf
distilbert
text-classification
generated_from_keras_callback
apache-2.0
autotrain_compatible
endpoints_compatible
us
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andreiliphdpr/distilbert-base-uncased-finetuned-cola
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: 0.0015
Train Accuracy: 0.9995
Validation Loss: 0.0570
Validation Accuracy: 0.9915
Epoch: 4
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': 43750, '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
Train Accuracy
Validation Loss
Validation Accuracy
Epoch
0.0399
0.9870
0.0281
0.9908
0
0.0182
0.9944
0.0326
0.9901
1
0.0089
0.9971
0.0396
0.9912
2
0.0040
0.9987
0.0486
0.9918
3
0.0015
0.9995
0.0570
0.9915
4
Framework versions
Transformers 4.15.0.dev0
TensorFlow 2.6.2
Datasets 1.15.1
Tokenizers 0.10.3
