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bart-base-finetuned-xlsum-with-multi-news – AI Model by fanzru | AlphaNeural AI
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bart-base-finetuned-xlsum-with-multi-news
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transformers
pytorch
tensorboard
bart
text2text-generation
generated_from_trainer
apache-2.0
endpoints_compatible
us
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bart-base-finetuned-xlsum-with-multi-news
This model is a fine-tuned version of
facebook/bart-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.8431
Rouge1: 36.572
Rouge2: 15.16
Rougel: 29.711
Rougelsum: 29.7767
Gen Len: 19.5371
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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Rougelsum
Gen Len
2.2252
1.0
20543
1.8431
36.572
15.16
29.711
29.7767
19.5371
Framework versions
Transformers 4.13.0
Pytorch 1.13.1+cpu
Datasets 2.8.0
Tokenizers 0.10.3
