This model is a fine-tuned version of Einmalumdiewelt/BART_large_CNN_GNAD on an unknown dataset.
It achieves the following results on the evaluation set:
Loss: 2.9761
Rouge1: 27.0918
Rouge2: 7.9818
Rougel: 17.7781
Rougelsum: 22.6727
Gen Len: 96.0567
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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
