This model is a fine-tuned version of facebook/bart-base on an 20，000 pieces of news from abisee/cnn_dailymail dataset.
It achieves the following results on the evaluation set:
Loss: 1.9615
Rouge1: 35.04
Rouge2: 14.58
Rougel: 24.22
Rougelsum: 32.09
Gen Len: 70.5145
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: 3e-05
train_batch_size: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 16
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
