dialogsum_bart_large

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

• Loss: 1.3282
• Rouge1: 0.4162
• Rouge2: 0.1783
• Rougel: 0.3551
• Rougelsum: 0.3553
• Gen Len: 19.838

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

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
1.1326	1.0	3115	1.3148	0.3975	0.1596	0.335	0.3352	19.942
0.937	2.0	6230	1.2903	0.3994	0.1613	0.3394	0.3393	19.858
0.7955	3.0	9345	1.3001	0.4171	0.1794	0.357	0.3569	19.784
0.6845	4.0	12460	1.3282	0.4162	0.1783	0.3551	0.3553	19.838

Framework versions

• Transformers 4.31.0
• Pytorch 2.0.1+cu117
• Datasets 2.14.3
• Tokenizers 0.13.3