This model is a fine-tuned version of ccdv/lsg-bart-base-4096-pubmed on the pubmed-summarization dataset.
It achieves the following results on the evaluation set:
eval_loss: 0.3162
eval_rouge1: 0.4185
eval_rouge2: 0.2045
eval_rougeL: 0.2928
eval_rougeLsum: 0.3799
eval_runtime: 52.6776
eval_samples_per_second: 0.892
eval_steps_per_second: 0.456
epoch: 10.9938
step: 332
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: 8e-05
train_batch_size: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
