t5-small-finetuned-xlsum-concat-multi-news-withlm

This model is a fine-tuned version of t5-small on the xlsum dataset. It achieves the following results on the evaluation set:

• Loss: 2.4218
• Rouge1: 29.1852
• Rouge2: 8.0131
• Rougel: 22.5457
• Rougelsum: 22.5874
• Gen Len: 18.8391

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: 16
• eval_batch_size: 16
• 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
2.7018	1.0	19158	2.4218	29.1852	8.0131	22.5457	22.5874	18.8391

Framework versions

• Transformers 4.24.0
• Pytorch 1.13.0+cu117
• Datasets 2.7.1
• Tokenizers 0.13.2