finetuned_on_citesum_bart_text_summarisation

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

• Loss: 0.3597
• Rouge1: 0.3541
• Rouge2: 0.1548
• Rougel: 0.2659
• Rougelsum: 0.2657
• Gen Len: 67.0143

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: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	350	0.3449	0.3492	0.1554	0.2685	0.268	68.7357
0.5359	2.0	700	0.3458	0.3516	0.1531	0.2647	0.2646	67.0714
0.2219	3.0	1050	0.3597	0.3541	0.1548	0.2659	0.2657	67.0143

Framework versions

• Transformers 4.30.0
• Pytorch 2.3.0+cu121
• Datasets 2.20.0
• Tokenizers 0.13.3