bart_cust_summarizer

This model is a fine-tuned version of t5-small on the None dataset. It achieves the following results on the evaluation set:

• Loss: 1.8540
• Rouge1: 0.208
• Rouge2: 0.0971
• Rougel: 0.1781
• Rougelsum: 0.1778
• Gen Len: 18.9841

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: 2
• eval_batch_size: 2
• 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	Gen Len
2.2101	1.0	1887	1.9077	0.2068	0.0945	0.1765	0.1764	18.9873
2.0495	2.0	3774	1.8540	0.208	0.0971	0.1781	0.1778	18.9841

Framework versions

• Transformers 4.37.1
• Pytorch 2.1.0+cu121
• Datasets 2.16.1
• Tokenizers 0.15.1