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bart-large-finetuned-samsum – AI Model by leonardo-simao | AlphaNeural AI
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leonardo-simao
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bart-large-finetuned-samsum
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transformers
tf
tensorboard
bart
text2text-generation
generated_from_keras_callback
apache-2.0
endpoints_compatible
us
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leonardo-simao/bart-large-finetuned-samsum
This model is a fine-tuned version of
facebook/bart-large
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 1.6441
Validation Loss: 1.4399
Train Rouge1: 47.6702
Train Rouge2: 25.6195
Train Rougel: 40.2658
Train Rougelsum: 44.0202
Train Gen Len: 18.5709
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
Train Rouge1
Train Rouge2
Train Rougel
Train Rougelsum
Train Gen Len
Epoch
1.6441
1.4399
47.6702
25.6195
40.2658
44.0202
18.5709
0
Framework versions
Transformers 4.27.4
TensorFlow 2.11.0
Datasets 2.11.0
Tokenizers 0.13.3
