This model is a fine-tuned version of csebuetnlp/mT5_multilingual_XLSum on the cnn_dailymail dataset.
It achieves the following results on the evaluation set:
Loss: 3.0025
Rouge-1: 36.87
Rouge-2: 15.31
Rouge-l: 33.74
Gen Len: 77.93
Bertscore: 88.28
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: 0.0005
train_batch_size: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
