pegasus-newsroom-headline_writer_oct22

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: 1.3462
• Rouge1: 41.8799
• Rouge2: 23.1785
• Rougel: 35.5346
• Rougelsum: 35.6203
• Gen Len: 34.3108

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
1.4364	1.0	38400	1.3730	41.9525	23.0823	35.5435	35.6485	34.1161
1.2483	2.0	76800	1.3430	42.1538	23.3302	35.8119	35.9063	33.9333
1.1873	3.0	115200	1.3462	41.8799	23.1785	35.5346	35.6203	34.3108

Framework versions

• Transformers 4.22.2
• Pytorch 1.12.1+cu113
• Datasets 2.5.2
• Tokenizers 0.12.1