bart-JES-cnn_dailymail

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: 1.1452
• Rouge1: 43.9753
• Rouge2: 19.7191
• Rougel: 33.6236
• Rougelsum: 41.1683
• Gen Len: 80.1767

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: 3e-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: 6.0
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
1.2949	1.0	71779	1.2080	11.7171	3.3284	11.3209	11.4022	20.0
1.191	2.0	143558	1.1615	11.8484	3.363	11.4175	11.5037	20.0
1.0907	3.0	215337	1.1452	12.6221	3.773	12.1226	12.2359	20.0
0.9798	4.0	287116	1.1670	12.4306	3.7329	11.9497	12.0617	20.0
0.9112	5.0	358895	1.1667	12.5404	3.7842	12.0541	12.1643	20.0
0.8358	6.0	430674	1.1997	12.5153	3.778	12.0382	12.1332	20.0

Framework versions

• Transformers 4.10.2
• Pytorch 1.7.1+cu110
• Datasets 1.11.0
• Tokenizers 0.10.3