bart-large-cnn-summarizer_03

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: 1.0999
• Rouge1: 51.6222
• Rouge2: 33.428
• Rougel: 40.2093
• Rougelsum: 47.7154
• Gen Len: 102.7962

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: 3
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
0.9348	1.0	17166	0.9969	51.0763	32.9497	39.6851	47.0744	99.664
0.7335	2.0	34332	1.0019	51.8002	33.8081	40.5887	47.9445	99.7884
0.471	3.0	51498	1.0999	51.6222	33.428	40.2093	47.7154	102.7962

Framework versions

• Transformers 4.12.3
• Pytorch 1.9.0+cu111
• Datasets 1.15.1
• Tokenizers 0.10.3