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mbart-50-sum – AI Model by ViditRaj | AlphaNeural AI
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mbart-50-sum
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transformers
tf
mbart
text2text-generation
generated_from_keras_callback
mit
endpoints_compatible
us
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mbart-50-sum
This model is a fine-tuned version of
facebook/mbart-large-50
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 8.4055
Validation Loss: 7.0692
Epoch: 0
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': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
training_precision: float32
Training results
Train Loss
Validation Loss
Epoch
8.4055
7.0692
0
Framework versions
Transformers 4.25.1
TensorFlow 2.9.2
Datasets 2.8.0
Tokenizers 0.13.2
