pegasus-multi_news-summarizer_01

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: 1.2794
• Rouge1: 52.1693
• Rouge2: 34.8989
• Rougel: 41.2385
• Rougelsum: 48.4365
• Gen Len: 98.6433

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
1.3936	1.0	16113	1.2972	51.5747	34.2062	40.7279	47.7783	95.0004
1.3664	2.0	32226	1.2817	52.1077	34.8189	41.1614	48.3894	100.3265
1.3002	3.0	48339	1.2794	52.1693	34.8989	41.2385	48.4365	98.6433

Framework versions

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