trained_bart

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

• Loss: 0.0910
• Rouge1: 13.6972
• Rouge2: 2.0482
• Rougel: 11.3161
• Rougelsum: 12.9271
• Gen Len: 56.5854

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: 3
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
0.0923	1.0	737	0.0888	13.2333	1.4874	9.9559	11.9429	62.5854
0.086	2.0	1474	0.0886	13.0092	2.0724	10.5364	11.7522	60.1463
0.0744	3.0	2211	0.0910	13.6972	2.0482	11.3161	12.9271	56.5854

Framework versions

• Transformers 4.42.3
• Pytorch 2.1.2
• Datasets 2.20.0
• Tokenizers 0.19.1