lsg-bart-base-4096-pubmed-finetuned-pubmed

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
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• num_epochs: 12

Framework versions

• Transformers 4.42.4
• Pytorch 2.0.0
• Datasets 2.15.0
• Tokenizers 0.19.1