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: 3.1263
Rouge2 Precision: 0.165
Rouge2 Recall: 0.1288
Rouge2 Fmeasure: 0.1442
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: 5e-05
train_batch_size: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
