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summarization_finetuned – AI Model by akum1343 | AlphaNeural AI
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akum1343
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summarization_finetuned
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transformers
tf
bart
text2text-generation
generated_from_keras_callback
mit
endpoints_compatible
us
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summarization_finetuned
This model is a fine-tuned version of
facebook/bart-large-cnn
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 1.5478
Validation Loss: 1.4195
Train Rougel: tf.Tensor(0.29894578, shape=(), dtype=float32)
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': 'Adamax', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07}
training_precision: float32
Training results
Train Loss
Validation Loss
Train Rougel
Epoch
1.5478
1.4195
tf.Tensor(0.29894578, shape=(), dtype=float32)
0
Framework versions
Transformers 4.25.1
TensorFlow 2.10.0
Datasets 2.6.1
Tokenizers 0.12.1
