pegasus-newsroom-commentaries_hdwriter

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: 2.5316
• Rouge1: 21.4079
• Rouge2: 6.2399
• Rougel: 16.6644
• Rougelsum: 17.8501
• Gen Len: 34.4111

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
2.6327	1.0	4710	2.5474	20.9392	6.1702	16.3859	17.5963	35.6626
2.4322	2.0	9420	2.5198	21.4026	6.1811	16.5874	17.8207	34.5976
2.2703	3.0	14130	2.5316	21.4079	6.2399	16.6644	17.8501	34.4111

Framework versions

• Transformers 4.15.0
• Pytorch 1.10.0+cu111
• Datasets 1.17.0
• Tokenizers 0.10.3