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bart-base-finetuned-xlsum – AI Model by fanzru | AlphaNeural AI
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bart-base-finetuned-xlsum
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transformers
pytorch
tensorboard
bart
text2text-generation
generated_from_trainer
xlsum
apache-2.0
model-index
endpoints_compatible
us
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bart-base-finetuned-xlsum
This model is a fine-tuned version of
facebook/bart-base
on the xlsum dataset. It achieves the following results on the evaluation set:
Loss: 1.8367
Rouge1: 36.7016
Rouge2: 15.3377
Rougel: 29.8655
Rougelsum: 29.9287
Gen Len: 19.571
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
2.0991
1.0
19158
1.8367
36.7016
15.3377
29.8655
29.9287
19.571
Framework versions
Transformers 4.13.0
Pytorch 1.13.0+cu116
Datasets 2.8.0
Tokenizers 0.10.3
