pegasus-model3

This model is a fine-tuned version of theojolliffe/pegasus-cnn_dailymail-v4-e1-e4-feedback on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.2808
• Rouge1: 70.5507
• Rouge2: 66.5776
• Rougel: 64.6438
• Rougelsum: 70.0264
• Gen Len: 123.7447

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: 1
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
0.4839	1.0	748	0.2808	70.5507	66.5776	64.6438	70.0264	123.7447

Framework versions

• Transformers 4.21.3
• Pytorch 1.12.1+cu113
• Datasets 2.4.0
• Tokenizers 0.12.1