summary_model

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

• Loss: 2.9573
• Rouge1: 0.2159
• Rouge2: 0.0831
• Rougel: 0.1829
• Rougelsum: 0.1869

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: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum
0.5871	1.0	63	2.7134	0.2176	0.0872	0.1881	0.1951
0.4422	2.0	126	2.9573	0.2159	0.0831	0.1829	0.1869

Framework versions

• Transformers 4.35.2
• Pytorch 2.1.0+cu121
• Datasets 2.16.1
• Tokenizers 0.15.0