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Horovod_Tweet_Sentiment_1k_3eps – AI Model by joe5campbell | AlphaNeural AI | AlphaNeural AI
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Horovod_Tweet_Sentiment_1k_3eps
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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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Horovod_Tweet_Sentiment_1k_3eps
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: 0.6961535
Train Accuracy: 0.49375
Validation Loss: 0.6676211
Validation Accuracy: 0.64375
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', 'clipnorm': 1.0, 'learning_rate': 0.0003, '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
0.717013
0.46562502
0.73462963
0.515625
0
0.70586157
0.5078125
0.6937375
0.484375
1
0.6961535
0.49375
0.6676211
0.64375
2
Framework versions
Transformers 4.17.0
TensorFlow 2.6.0
Tokenizers 0.11.6
