bart-large-cnn-1000-pad-early-lit

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: 0.4800
• Rouge1: 28.4538
• Rouge2: 13.5656
• Rougel: 22.2066
• Rougelsum: 25.3361
• Gen Len: 66.53

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: 1
• eval_batch_size: 1
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 10
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
0.1556	1.0	1000	0.4383	29.1275	14.1415	22.5802	26.37	65.93
0.0853	2.0	2000	0.4800	28.4538	13.5656	22.2066	25.3361	66.53

Framework versions

• Transformers 4.16.2
• Pytorch 1.10.2
• Datasets 1.18.3
• Tokenizers 0.11.0