bart-large-cnn-finetuned-scientific-articles

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

• Loss: 2.6416
• Rouge1: 34.2136
• Rouge2: 11.6215
• Rougel: 20.2516
• Rougelsum: 30.6019

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: 5.6e-05
• train_batch_size: 9
• eval_batch_size: 9
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum
3.3695	1.0	56	2.8464	32.133	10.3816	18.7538	29.311
2.7639	2.0	112	2.6667	31.5794	10.8708	19.2408	28.6171
2.517	3.0	168	2.6220	33.1806	11.2477	19.7199	30.1012
2.2989	4.0	224	2.6031	32.7604	10.9356	19.4766	29.6503
2.0883	5.0	280	2.6416	34.2136	11.6215	20.2516	30.6019

Framework versions

• Transformers 4.41.1
• Pytorch 2.3.0+cu121
• Datasets 2.19.1
• Tokenizers 0.19.1