pegasus-large-samsum

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

• Loss: 1.4109
• Rouge1: 48.0968
• Rouge2: 24.6663
• Rougel: 40.2569
• Rougelsum: 44.0137

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
• gradient_accumulation_steps: 64
• total_train_batch_size: 64
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum
No log	1.0	230	1.4646	45.0631	22.5567	38.0518	41.2694
No log	2.0	460	1.4203	47.4122	24.158	39.7414	43.3485
1.699	3.0	690	1.4109	48.0968	24.6663	40.2569	44.0137

Framework versions

• Transformers 4.20.1
• Pytorch 1.12.0+cu113
• Datasets 2.3.2
• Tokenizers 0.12.1