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bart-large-cnn-finetuned-multi-news1 – AI Model by nikhedward | AlphaNeural AI
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nikhedward
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bart-large-cnn-finetuned-multi-news1
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transformers
pytorch
tensorboard
bart
text2text-generation
generated_from_trainer
multi_news
mit
model-index
endpoints_compatible
us
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bart-large-cnn-finetuned-multi-news1
This model is a fine-tuned version of
facebook/bart-large-cnn
on the multi_news dataset. It achieves the following results on the evaluation set:
Loss: 2.0858
Rouge1: 42.1215
Rouge2: 14.9986
Rougel: 23.4737
Rougelsum: 36.4212
Gen Len: 133.703
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: 2e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
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
Rouge1
Rouge2
Rougel
Rougelsum
Gen Len
2.1984
1.0
750
2.0858
42.1215
14.9986
23.4737
36.4212
133.703
Framework versions
Transformers 4.18.0
Pytorch 1.10.0+cu111
Datasets 2.0.0
Tokenizers 0.11.6
