pegasust5base

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

• Loss: 2.0441
• Rouge1: 46.3783
• Rouge2: 22.2914
• Rougel: 28.5553
• Rougelsum: 41.5329
• Gen Len: 293.2118

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: 4e-05
• train_batch_size: 4
• eval_batch_size: 4
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 1
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
2.4875	1.0	515	2.0441	46.3783	22.2914	28.5553	41.5329	293.2118

Framework versions

• Transformers 4.39.1
• Pytorch 2.2.1+cu121
• Datasets 2.18.0
• Tokenizers 0.15.2