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distilbert-base-uncased-finetuned-cola – AI Model by jotero | AlphaNeural AI
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jotero
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distilbert-base-uncased-finetuned-cola
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transformers
tf
tensorboard
distilbert
text-classification
generated_from_keras_callback
apache-2.0
autotrain_compatible
endpoints_compatible
us
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jotero/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: 0.5164
Validation Loss: 0.4483
Train Matthews Correlation: 0.4712
Epoch: 0
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': 1602, '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 Matthews Correlation
Epoch
0.5164
0.4483
0.4712
0
Framework versions
Transformers 4.23.1
TensorFlow 2.10.0
Datasets 2.6.1
Tokenizers 0.13.1
