This model is a fine-tuned version of sshleifer/distilbart-xsum-12-3 on the wiki_lingua dataset.
It achieves the following results on the evaluation set:
Loss: 7.4393
Rouge1: 16.9502
Rouge2: 1.9608
Rougel: 15.0983
Rougelsum: 16.9502
Gen Len: 19.3333
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: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
