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BERT_Tweet_Sentiment_100_2epochs – AI Model by joe5campbell | AlphaNeural AI
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joe5campbell
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BERT_Tweet_Sentiment_100_2epochs
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transformers
tf
bert
text-classification
generated_from_keras_callback
apache-2.0
autotrain_compatible
endpoints_compatible
us
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BERT_Tweet_Sentiment_100_2epochs
This model is a fine-tuned version of
bert-base-uncased
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 0.6279
Train Accuracy: 0.6824
Validation Loss: 0.7791
Validation Accuracy: 0.2667
Epoch: 1
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', 'clipnorm': 1.0, 'learning_rate': 3e-05, '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
0.7045
0.4882
0.7236
0.2667
0
0.6279
0.6824
0.7791
0.2667
1
Framework versions
Transformers 4.16.2
TensorFlow 2.8.0
Tokenizers 0.11.0
