pegasus-model-3-x25

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: 0.5668
• Rouge1: 61.9972
• Rouge2: 48.1531
• Rougel: 48.845
• Rougelsum: 59.5019
• Gen Len: 123.0814

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
1.144	1.0	883	0.5668	61.9972	48.1531	48.845	59.5019	123.0814

Framework versions

• Transformers 4.22.1
• Pytorch 1.12.1+cu113
• Datasets 2.4.0
• Tokenizers 0.12.1