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bart-base-finetuned-summarization-cnn-ver2 – AI Model by Alred | AlphaNeural AI
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Alred
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bart-base-finetuned-summarization-cnn-ver2
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transformers
pytorch
tensorboard
bart
text2text-generation
summarization
generated_from_trainer
cnn_dailymail
apache-2.0
endpoints_compatible
us
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bart-base-finetuned-summarization-cnn-ver2
This model is a fine-tuned version of
facebook/bart-base
on the cnn_dailymail dataset. It achieves the following results on the evaluation set:
Loss: 2.1715
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:
learning_rate: 5e-05
train_batch_size: 1
eval_batch_size: 1
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
2.3329
1.0
5742
2.1715
Framework versions
Transformers 4.24.0
Pytorch 1.12.1+cu113
Datasets 2.7.1
Tokenizers 0.13.2
