pegasus-xsum-whole_summary_chatGPT_and_tweetsum

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

• Loss: 2.4139
• Rouge1: 27.4412
• Rouge2: 10.8393
• Rougel: 25.1988
• Rougelsum: 25.2193
• Gen Len: 14.3333

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: 3
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	381	2.5524	26.025	9.5118	22.8243	22.8505	15.8095
2.9387	2.0	762	2.4394	29.4773	11.7365	27.6403	27.7766	15.4286
2.2822	3.0	1143	2.4139	27.4412	10.8393	25.1988	25.2193	14.3333

Framework versions

• Transformers 4.25.1
• Pytorch 1.12.1
• Datasets 2.6.1
• Tokenizers 0.13.2