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bart-large-cnn-pubmed1o3-pubmed2o3-pubmed3o3-arxiv1o3-arxiv2o3 – AI Model by theojolliffe | AlphaNeural AI
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theojolliffe
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bart-large-cnn-pubmed1o3-pubmed2o3-pubmed3o3-arxiv1o3-arxiv2o3
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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-arxiv2o3
This model is a fine-tuned version of
theojolliffe/bart-large-cnn-pubmed1o3-pubmed2o3-pubmed3o3-arxiv1o3
on the scientific_papers dataset. It achieves the following results on the evaluation set:
Loss: 2.1265
Rouge1: 41.9656
Rouge2: 15.3793
Rougel: 24.0382
Rougelsum: 37.6057
Gen Len: 130.8531
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
2.1485
1.0
33840
2.1265
41.9656
15.3793
24.0382
37.6057
130.8531
Framework versions
Transformers 4.19.2
Pytorch 1.11.0+cu113
Datasets 2.2.2
Tokenizers 0.12.1
