bart-base-finetuned-xsum

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

• Loss: 4.8623
• Rouge1: 19.9221
• Rouge2: 4.0013
• Rougel: 15.482
• Rougelsum: 15.5006
• Gen Len: 19.0

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: 4
• eval_batch_size: 4
• 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	Gen Len
5.0575	1.0	5101	4.8623	19.9221	4.0013	15.482	15.5006	19.0

Framework versions

• Transformers 4.30.0
• Pytorch 2.3.0+cu121
• Datasets 2.19.0
• Tokenizers 0.13.3