bart-large-cnn-finetuned-xsum

This model is a fine-tuned version of facebook/bart-large-cnn on the None dataset. It achieves the following results on the evaluation set:

• Loss: 1.7906
• Rouge1: 31.4003
• Rouge2: 12.0156
• Rougel: 22.8732
• Rougelsum: 23.8269
• Gen Len: 65.3575

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: 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
1.8383	1.0	500	1.7906	31.4003	12.0156	22.8732	23.8269	65.3575

Framework versions

• Transformers 4.39.3
• Pytorch 2.2.1+cu121
• Datasets 2.19.0
• Tokenizers 0.15.2