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Horovod_Tweet_Sentiment_10k_2eps – AI Model by joe5campbell | AlphaNeural AI
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Horovod_Tweet_Sentiment_10k_2eps
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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_10k_2eps
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: 0.701302
Train Accuracy: 0.49375
Validation Loss: 0.69441336
Validation Accuracy: 0.51171875
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': 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
0.7017118
0.50769234
0.6944223
0.503125
0
0.701302
0.49375
0.69441336
0.51171875
1
Framework versions
Transformers 4.17.0
TensorFlow 2.6.0
Tokenizers 0.11.6