pegasus-multi_news-commentaries_hdwriter

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: 2.7259
• Rouge1: 21.3899
• Rouge2: 6.2409
• Rougel: 16.6172
• Rougelsum: 17.808
• Gen Len: 34.7016

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: 5
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
2.847	1.0	4710	2.7513	20.5559	5.9762	16.1223	17.2872	35.81
2.6399	2.0	9420	2.6890	21.2052	6.0104	16.5753	17.6517	34.5242
2.3811	3.0	14130	2.6904	21.2358	6.1416	16.6053	17.7067	34.6157
2.2388	4.0	18840	2.7112	21.3806	6.1895	16.6909	17.7504	34.5227
2.1589	5.0	23550	2.7259	21.3899	6.2409	16.6172	17.808	34.7016

Framework versions

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