pegasus-x-large-finetuned-summarization

This model is a fine-tuned version of google/pegasus-x-large on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.9503
• Rouge1: 54.656
• Rouge2: 33.2773
• Rougel: 44.7797
• Rougelsum: 51.2888

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: 5.6e-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

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum
1.1821	1.0	308	0.9389	49.6848	29.0753	40.9828	47.1619
0.8932	2.0	616	0.8955	49.6176	28.8588	41.7149	47.3719
0.7433	3.0	924	0.9202	54.0016	31.8254	43.4441	50.9312
0.6495	4.0	1232	0.9321	52.6912	31.6843	43.8896	49.8726
0.587	5.0	1540	0.9503	54.656	33.2773	44.7797	51.2888

Framework versions

• Transformers 4.28.0
• Pytorch 2.0.0+cu118
• Datasets 2.12.0
• Tokenizers 0.13.3