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cv_summarization-distilbart-cnn-16-6 – AI Model by walkerrose | AlphaNeural AI
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walkerrose
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cv_summarization-distilbart-cnn-16-6
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transformers
tf
bart
text2text-generation
generated_from_keras_callback
summarization
en
apache-2.0
endpoints_compatible
us
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cv_summarization-distilbart-cnn-16-6
This model is a fine-tuned version of
philschmid/tf-distilbart-cnn-12-6
on
cnn_dailymail
dataset. It achieves the following results on the evaluation set:
Train Loss: 0.1445
Validation Loss: 0.4524
Epoch: 4
Rouge1: 76.90
Rouge2: 73.30
RougeL: 76.04
RougeLsum: 75.87
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}
training_precision: float32
Training results
Train Loss
Validation Loss
Epoch
0.7265
0.4665
0
0.3192
0.4480
1
0.2154
0.4395
2
0.1587
0.4668
3
0.1445
0.4524
4
Framework versions
Transformers 4.30.1
TensorFlow 2.12.0
Datasets 2.12.0
Tokenizers 0.13.3
