pegasus-multi_news-headline

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

• Loss: 1.4421
• Rouge1: 41.616
• Rouge2: 22.922
• Rougel: 35.2189
• Rougelsum: 35.3561
• Gen Len: 33.9532

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
1.6637	1.0	31200	1.4877	41.0996	22.579	34.9311	35.0611	34.3431
1.4395	2.0	62400	1.4388	41.6075	22.8274	35.2051	35.3526	33.7965
1.3137	3.0	93600	1.4421	41.616	22.922	35.2189	35.3561	33.9532

Framework versions

• Transformers 4.12.2
• Pytorch 1.9.0+cu111
• Datasets 1.14.0
• Tokenizers 0.10.3