tidy-tab-model-bart-large-cnn

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

• Loss: 2.5251
• Rouge1: 0.1756
• Rouge2: 0.106
• Rougel: 0.1736
• Rougelsum: 0.1739
• Gen Len: 57.7607

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: 4e-05
• train_batch_size: 32
• eval_batch_size: 32
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 24

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
0.0787	7.5758	500	2.4807	0.1848	0.1066	0.1798	0.18	57.5385
0.0293	15.1515	1000	2.1823	0.1619	0.0957	0.1594	0.1594	57.7521
0.0072	22.7273	1500	2.5251	0.1756	0.106	0.1736	0.1739	57.7607

Framework versions

• Transformers 4.41.2
• Pytorch 2.3.0+cu121
• Datasets 2.20.0
• Tokenizers 0.19.1