pegasus-xsum_readme_summarization

This model is a fine-tuned version of google/pegasus-xsum on the None dataset. It achieves the following results on the evaluation set:

• Loss: 2.3151
• Rouge1: 0.4555
• Rouge2: 0.313
• Rougel: 0.43
• Rougelsum: 0.4306
• Gen Len: 20.4628

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: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
2.734	1.0	5831	2.4629	0.445	0.2988	0.417	0.4173	20.8801
2.5168	2.0	11662	2.3496	0.4549	0.3112	0.4284	0.4286	19.6043
2.3507	3.0	17493	2.3132	0.4555	0.3133	0.4295	0.429	20.747
2.2409	4.0	23324	2.3151	0.4555	0.313	0.43	0.4306	20.4628

Framework versions

• Transformers 4.35.1
• Pytorch 2.1.0+cu121
• Datasets 2.14.6
• Tokenizers 0.14.1