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This model is a fine-tuned version of facebook/Bart-base on the samsum dataset. It achieves the following results on the evaluation set:

• Loss: 1.4804
• Rouge1: 49.742
• Rouge2: 26.1791
• Rougel: 42.4092
• Rougelsum: 45.8848

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: 5.6e-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

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum
1.2327	1.0	1842	1.4804	49.742	26.1791	42.4092	45.8848

Framework versions

• Transformers 4.42.4
• Pytorch 2.4.0+cu121
• Datasets 2.21.0
• Tokenizers 0.19.1