bart-cnn-samsum-finetuned

This model is a fine-tuned version of facebook/bart-large-cnn on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.3622
• Rouge1: 40.4969
• Rouge2: 18.8894
• Rougel: 29.0806
• Rougelsum: 29.333
• Gen Len: 65.1111

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: 1e-05
• train_batch_size: 8
• eval_batch_size: 8
• 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
2.8062	1.0	19	0.3622	40.4969	18.8894	29.0806	29.333	65.1111

Framework versions

• Transformers 4.43.3
• Pytorch 2.8.0+cu126
• Datasets 4.0.0
• Tokenizers 0.19.1