bart-large-finetuned-eLife

This model is a fine-tuned version of facebook/bart-large on the None dataset. It achieves the following results on the evaluation set:

• Loss: 2.1974
• Rouge1: 19.8802
• Rouge2: 5.0391
• Rougel: 14.8302
• Rougelsum: 17.0969
• Gen Len: 20.0

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: 2e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
2.6794	1.0	544	2.2901	19.6619	4.9774	14.5683	16.7854	20.0
2.3548	2.0	1088	2.2297	18.7282	4.8773	13.9942	16.2091	20.0
2.1888	3.0	1632	2.1974	19.8802	5.0391	14.8302	17.0969	20.0

Framework versions

• Transformers 4.26.1
• Pytorch 1.13.1+cu116
• Datasets 2.9.0
• Tokenizers 0.13.2