lsg-bart-base-16384-pubmed-finetuned-pubmed-16394

This model is a fine-tuned version of ccdv/lsg-bart-base-16384-pubmed on the pubmed-summarization dataset. It achieves the following results on the evaluation set:

• Loss: 0.9068
• Rouge1: 0.4718
• Rouge2: 0.2342
• Rougel: 0.3033
• Rougelsum: 0.436

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: 0.0009
• 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: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum
4.2792	0.8	50	0.9068	0.4718	0.2342	0.3033	0.436

Framework versions

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