long-t5-tglobal-base-16384-book-summary-finetuned-xsum

This model is a fine-tuned version of pszemraj/long-t5-tglobal-base-16384-book-summary on the None dataset. It achieves the following results on the evaluation set:

• Loss: 3.7110
• Rouge1: 19.379
• Rouge2: 2.0125
• Rougel: 12.4318
• Rougelsum: 12.4432
• Gen Len: 72.3611

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: 0.002
• train_batch_size: 3
• eval_batch_size: 3
• 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
No log	1.0	24	3.7825	18.6153	1.7298	12.0792	12.0714	82.3611
No log	2.0	48	3.7110	19.379	2.0125	12.4318	12.4432	72.3611

Framework versions

• Transformers 4.25.1
• Pytorch 1.13.0+cu116
• Datasets 2.7.1
• Tokenizers 0.13.2