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FYP2022 – AI Model by edwin923 | AlphaNeural AI
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edwin923
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FYP2022
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transformers
tf
roberta
text-classification
generated_from_keras_callback
mit
autotrain_compatible
endpoints_compatible
us
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FYP2022
This model is a fine-tuned version of
roberta-base
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 0.6016
Train Sparse Categorical Accuracy: 0.7503
Train Sparse Top 3 Categorical Accuracy: 0.9901
Epoch: 5
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': 1e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
training_precision: float32
Training results
Train Loss
Train Sparse Categorical Accuracy
Train Sparse Top 3 Categorical Accuracy
Epoch
0.9433
0.5975
0.9523
0
0.8257
0.6498
0.9704
1
0.7625
0.6765
0.9778
2
0.7062
0.7014
0.9832
3
0.6526
0.7263
0.9872
4
0.6016
0.7503
0.9901
5
Framework versions
Transformers 4.19.2
TensorFlow 2.8.0
Tokenizers 0.12.1
