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bart-large-cnn-pubmed1o3-pubmed2o3-pubmed3o3-arxiv1o3 – AI Model by theojolliffe | AlphaNeural AI
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theojolliffe
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bart-large-cnn-pubmed1o3-pubmed2o3-pubmed3o3-arxiv1o3
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transformers
pytorch
tensorboard
bart
text2text-generation
generated_from_trainer
scientific_papers
mit
model-index
endpoints_compatible
us
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bart-large-cnn-pubmed1o3-pubmed2o3-pubmed3o3-arxiv1o3
This model is a fine-tuned version of
theojolliffe/bart-large-cnn-pubmed1o3-pubmed2o3-pubmed3o3
on the scientific_papers dataset. It achieves the following results on the evaluation set:
Loss: 2.1825
Rouge1: 42.2455
Rouge2: 15.6488
Rougel: 24.4935
Rougelsum: 37.9427
Gen Len: 131.1379
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
2.185
1.0
33840
2.1825
42.2455
15.6488
24.4935
37.9427
131.1379
Framework versions
Transformers 4.19.2
Pytorch 1.11.0+cu113
Datasets 2.2.2
Tokenizers 0.12.1
