pegasus-x-large-booksum-16k

This model is a fine-tuned version of ubaada/pegasus-x-large-booksum-16k on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 1.8948
• Rouge1: 0.3044
• Rouge2: 0.0517
• Rougel: 0.1398

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: 8e-05
• train_batch_size: 8
• eval_batch_size: 1
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 32
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel
1.3001	0.9992	314	1.8948	0.3044	0.0517	0.1398

Framework versions

• Transformers 4.41.0
• Pytorch 2.2.0
• Datasets 2.19.1
• Tokenizers 0.19.1