bart-samsum This model is a fine-tuned version of facebook/bart-large-cnn on the samsum dataset. It achieves the following results on the evaluation set:

Loss: 1.38740 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: 1 eval_batch_size: 1 seed: 42 gradient_accumulation_steps: 16 total_train_batch_size: 16 optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 lr_scheduler_type: linear lr_scheduler_warmup_steps: 500 num_epochs: 1