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bart-base-finetuned-xlsum-concat-multi-news – AI Model by fanzru | AlphaNeural AI
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bart-base-finetuned-xlsum-concat-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-concat-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: 1.8355
Rouge1: 36.5801
Rouge2: 15.2796
Rougel: 29.8088
Rougelsum: 29.8631
Gen Len: 19.5457
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
1.6985
1.0
20543
1.8355
36.5801
15.2796
29.8088
29.8631
19.5457
Framework versions
Transformers 4.24.0
Pytorch 1.13.0+cu117
Datasets 2.7.1
Tokenizers 0.13.2
