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theojolliffe/
bart-large-cnn-pubmed1o3

Name: bart-large-cnn-pubmed1o3
Rating: 2.5 (5 reviews)

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bart-large-cnn-pubmed1o3

This model is a fine-tuned version of facebook/bart-large-cnn on the scientific_papers dataset. It achieves the following results on the evaluation set:

Loss: 1.9359
Rouge1: 36.7566
Rouge2: 14.813
Rougel: 22.4693
Rougelsum: 33.4325
Gen Len: 138.7332

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
2.028	1.0	19988	1.9359	36.7566	14.813	22.4693	33.4325	138.7332

Framework versions

Transformers 4.19.2
Pytorch 1.11.0+cu113
Datasets 2.2.2
Tokenizers 0.12.1

theojolliffe/bart-large-cnn-pubmed1o3

bart-large-cnn-pubmed1o3

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

theojolliffe/
bart-large-cnn-pubmed1o3