pegasus-newsroom-headline_writer

This model is a fine-tuned version of google/pegasus-newsroom on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 1.3988
• Rouge1: 41.8748
• Rouge2: 23.1947
• Rougel: 35.6263
• Rougelsum: 35.7355
• Gen Len: 34.1266

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
1.5784	1.0	31200	1.4287	41.4257	22.9355	35.3299	35.4648	34.4677
1.3501	2.0	62400	1.3955	41.9119	23.1912	35.6698	35.7479	33.8672
1.2417	3.0	93600	1.3988	41.8748	23.1947	35.6263	35.7355	34.1266

Framework versions

• Transformers 4.11.3
• Pytorch 1.9.0+cu111
• Datasets 1.14.0
• Tokenizers 0.10.3