pegasus-finetuned-on-samsum

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

• Loss: 1.3787

Model description

google/pegasus-cnn_dailymail model finetuned on knkarthick/samsum

Intended uses & limitations

Can be used to summarize dialogue conversations

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 5e-05
• train_batch_size: 1
• eval_batch_size: 1
• seed: 42
• gradient_accumulation_steps: 16
• total_train_batch_size: 16
• optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss
1.5651	1.0	921	1.4094
1.472	2.0	1842	1.3787

Framework versions

• Transformers 4.56.1
• Pytorch 2.8.0+cu126
• Datasets 4.0.0
• Tokenizers 0.22.0