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ROBERTA_Tweet_Sentiment_50k_2eps – AI Model by joe5campbell | AlphaNeural AI
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joe5campbell
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ROBERTA_Tweet_Sentiment_50k_2eps
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transformers
tf
bert
text-classification
generated_from_keras_callback
autotrain_compatible
endpoints_compatible
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ROBERTA_Tweet_Sentiment_50k_2eps
This model is a fine-tuned version of
cardiffnlp/twitter-roberta-base-sentiment
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 0.3553
Train Accuracy: 0.8504
Validation Loss: 0.5272
Validation Accuracy: 0.7652
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
0.5213
0.7298
0.4817
0.7715
0
0.3553
0.8504
0.5272
0.7652
1
Framework versions
Transformers 4.16.2
TensorFlow 2.8.0
Tokenizers 0.11.0
