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europython-imdb – AI Model by jstrnad | AlphaNeural AI | AlphaNeural AI
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jstrnad
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europython-imdb
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transformers
tf
deberta-v2
text-classification
generated_from_keras_callback
mit
autotrain_compatible
endpoints_compatible
us
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europython-imdb
This model is a fine-tuned version of
microsoft/deberta-v3-base
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 0.1802
Train Accuracy: 0.9293
Validation Loss: 0.2424
Validation Accuracy: 0.9115
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', 'learning_rate': 2e-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 Accuracy
Validation Loss
Validation Accuracy
Epoch
0.2760
0.8860
0.2403
0.9035
0
0.1802
0.9293
0.2424
0.9115
1
Framework versions
Transformers 4.20.1
TensorFlow 2.8.2
Datasets 2.3.2
Tokenizers 0.12.1
