my_awesome_billsum_model2

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

• Loss: 2.5164
• Rouge1: 0.3675
• Rouge2: 0.137
• Rougel: 0.3075
• Rougelsum: 0.3075
• Gen Len: 69.3333

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: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 2
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	1	2.7652	0.4015	0.1777	0.31	0.31	68.6667
No log	2.0	2	2.5164	0.3675	0.137	0.3075	0.3075	69.3333

Framework versions

• Transformers 4.27.2
• Pytorch 2.1.1
• Datasets 2.11.0
• Tokenizers 0.13.3