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FineTuned_Cola – AI Model by ukzash1 | AlphaNeural AI
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ukzash1
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FineTuned_Cola
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tf
bert
generated_from_keras_callback
google-bert/bert-base-cased
finetune
apache-2.0
us
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FineTuned_Cola
This model is a fine-tuned version of
google-bert/bert-base-cased
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 4.5102
Train Accuracy: 0.7042
Validation Loss: 4.7067
Validation Accuracy: 0.6913
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', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': 0.001, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
training_precision: float32
Training results
Train Loss
Train Accuracy
Validation Loss
Validation Accuracy
Epoch
4.5066
0.7045
4.7067
0.6913
0
4.5084
0.7044
4.6921
0.6923
1
4.5102
0.7042
4.7067
0.6913
2
Framework versions
Transformers 4.42.4
TensorFlow 2.17.0
Datasets 2.21.0
Tokenizers 0.19.1
