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bart-large-cnn-finetuned-pubmed-finetuned-roundup-e1 – AI Model by theojolliffe | AlphaNeural AI
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theojolliffe
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bart-large-cnn-finetuned-pubmed-finetuned-roundup-e1
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transformers
pytorch
tensorboard
bart
text2text-generation
generated_from_trainer
mit
endpoints_compatible
us
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bart-large-cnn-finetuned-pubmed-finetuned-roundup-e1
This model is a fine-tuned version of
theojolliffe/bart-large-cnn-finetuned-pubmed
on an unknown 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: 2e-05
train_batch_size: 2
eval_batch_size: 2
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
No log
1.0
25
1.4393
48.2616
31.3629
35.4175
46.251
140.0
Framework versions
Transformers 4.18.0
Pytorch 1.11.0+cu113
Datasets 2.1.0
Tokenizers 0.12.1
