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bart-base-finetuned-kaggglenews-fact-corrector-I – AI Model by chandank | AlphaNeural AI
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chandank
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bart-base-finetuned-kaggglenews-fact-corrector-I
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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-kaggglenews-fact-corrector-I
This model is a fine-tuned version of
facebook/bart-base
on the None dataset.
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: 0.0002
train_batch_size: 8
eval_batch_size: 8
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
Rouge1
Rouge2
Rougel
Rougelsum
Gen Len
No log
1.0
432
1.5483
28.9811
16.5711
24.7826
26.4132
20.0
Framework versions
Transformers 4.12.5
Pytorch 1.10.0+cu102
Datasets 1.16.1
Tokenizers 0.10.3
